Show HN: QueryCal – calculate metrics from your calendars using SQL https://querycal.com February 28, 2021 at 03:46AM
via Blogger https://ift.tt/2MvD8uu
(https://ift.tt/3q5L3wiSunday, February 28, 2021
Show HN: Email Cleaner: Clean tracking links and pixels from email newsletters https://ift.tt/2O9egcF
Show HN: Email Cleaner: Clean tracking links and pixels from email newsletters https://ift.tt/3b2Qhop February 28, 2021 at 05:55AM
Show HN: 95 people voted for me to make this voting platform https://ift.tt/3uNi0BxTHE RIGHT PEOPLE https://ift.tt/3bKwA3YTHE RIGHT PEOPLE https://ift.tt/3r5aYWh https://ift.tt/3r5aYWh
Show HN: 95 people voted for me to make this voting platform https://fanfavorite.io February 28, 2021 at 01:29AM
via Blogger https://ift.tt/3bGvhmw
(https://ift.tt/2PbzBT6Show HN: I make list of tool to decor your GitHub readme https://ift.tt/3dQKZhtTHE RIGHT PEOPLE https://ift.tt/2MzNvO4THE RIGHT PEOPLE https://ift.tt/3bKYufZ https://ift.tt/3bKYufZTHE RIGHT PEOPLE https://ift.tt/2NKd5QQTHE RIGHT PEOPLE https://ift.tt/2MxbPQx https://ift.tt/2MxbPQx
Show HN: I make list of tool to decor your GitHub readme https://ift.tt/37VzscZ February 27, 2021 at 10:21PM
via Blogger https://ift.tt/3dQXtWn
via Blogger https://ift.tt/2NDxpDJ
(https://ift.tt/304jRU1Show HN: QueryCal – calculate metrics from your calendars using SQL https://ift.tt/37Sv7XW
Show HN: QueryCal – calculate metrics from your calendars using SQL https://querycal.com February 28, 2021 at 03:46AM
Show HN: 95 people voted for me to make this voting platform https://ift.tt/3uNi0Bx
Show HN: 95 people voted for me to make this voting platform https://fanfavorite.io February 28, 2021 at 01:29AM
Show HN: Pasting output from previous bash command as arguments https://ift.tt/2O4RZN8THE RIGHT PEOPLE https://ift.tt/3uDJglATHE RIGHT PEOPLE https://ift.tt/3uDNJF4 https://ift.tt/3uDNJF4THE RIGHT PEOPLE https://ift.tt/3kHsfmhTHE RIGHT PEOPLE https://ift.tt/37TCSNv https://ift.tt/37TCSNv
Show HN: Pasting output from previous bash command as arguments https://ift.tt/3bLwUiP February 27, 2021 at 04:35PM
via Blogger https://ift.tt/3dTKOCg
via Blogger https://ift.tt/3r8MziQ
(https://ift.tt/3dSGhjmShow HN: I make list of tool to decor your GitHub readme https://ift.tt/3dQKZhtTHE RIGHT PEOPLE https://ift.tt/2MzNvO4THE RIGHT PEOPLE https://ift.tt/3bKYufZ https://ift.tt/3bKYufZ
Show HN: I make list of tool to decor your GitHub readme https://ift.tt/37VzscZ February 27, 2021 at 10:21PM
via Blogger https://ift.tt/3dQXtWn
(https://ift.tt/3kwufxnShow HN: Pasting output from previous bash command as arguments https://ift.tt/2O4RZN8THE RIGHT PEOPLE https://ift.tt/3uDJglATHE RIGHT PEOPLE https://ift.tt/3uDNJF4 https://ift.tt/3uDNJF4
Show HN: Pasting output from previous bash command as arguments https://ift.tt/3bLwUiP February 27, 2021 at 04:35PM
via Blogger https://ift.tt/3dTKOCg
(https://ift.tt/3q54aqiShow HN: I make list of tool to decor your GitHub readme https://ift.tt/3dQKZht
Show HN: I make list of tool to decor your GitHub readme https://ift.tt/37VzscZ February 27, 2021 at 10:21PM
Show HN: Pasting output from previous bash command as arguments https://ift.tt/2O4RZN8
Show HN: Pasting output from previous bash command as arguments https://ift.tt/3bLwUiP February 27, 2021 at 04:35PM
Show HN: Rich Text Math Editing on the Web with Markdown and AsciiMath https://ift.tt/3bJkeJoTHE RIGHT PEOPLE https://ift.tt/2PeHlUpTHE RIGHT PEOPLE https://ift.tt/2O89Brr https://ift.tt/2O89BrrTHE RIGHT PEOPLE https://ift.tt/3bIMfRjTHE RIGHT PEOPLE https://ift.tt/3kuRAzy https://ift.tt/3kuRAzy
Show HN: Rich Text Math Editing on the Web with Markdown and AsciiMath https://ift.tt/2NLCEB9 February 27, 2021 at 12:41PM
via Blogger https://ift.tt/3dSg9oJ
via Blogger https://ift.tt/3dPpptT
(https://ift.tt/3aYckwyShow HN: Rich Text Math Editing on the Web with Markdown and AsciiMath https://ift.tt/3bJkeJoTHE RIGHT PEOPLE https://ift.tt/2PeHlUpTHE RIGHT PEOPLE https://ift.tt/2O89Brr https://ift.tt/2O89Brr
Show HN: Rich Text Math Editing on the Web with Markdown and AsciiMath https://ift.tt/2NLCEB9 February 27, 2021 at 12:41PM
via Blogger https://ift.tt/3dSg9oJ
(https://ift.tt/37SWXn7Saturday, February 27, 2021
Show HN: A tiny static site generator for publishing directory websites https://ift.tt/37TmcWmTHE RIGHT PEOPLE https://ift.tt/3krNW9ITHE RIGHT PEOPLE https://ift.tt/3pWcb0V https://ift.tt/3pWcb0VTHE RIGHT PEOPLE https://ift.tt/2ObQCwcTHE RIGHT PEOPLE https://ift.tt/3b2fgbA https://ift.tt/3b2fgbA
Show HN: A tiny static site generator for publishing directory websites https://ift.tt/3qZcpWo February 27, 2021 at 03:07AM
via Blogger https://ift.tt/2ZTbQ4m
via Blogger https://ift.tt/3kulC6w
(https://ift.tt/3szIi88Show HN: Rich Text Math Editing on the Web with Markdown and AsciiMath https://ift.tt/3bJkeJo
Show HN: Rich Text Math Editing on the Web with Markdown and AsciiMath https://ift.tt/2NLCEB9 February 27, 2021 at 12:41PM
Show HN: GraphQL API in WordPress core would look like this https://ift.tt/3b4HKl3
Show HN: GraphQL API in WordPress core would look like this https://ift.tt/3bLQuvq February 27, 2021 at 09:31AM
Show HN: My custom computer case that acts as an air purifier https://ift.tt/3aY2HOgTHE RIGHT PEOPLE https://ift.tt/3q1kLLyTHE RIGHT PEOPLE https://ift.tt/3sCWzRJ https://ift.tt/3sCWzRJ
Show HN: My custom computer case that acts as an air purifier https://ift.tt/1FWS6eJ February 27, 2021 at 06:38AM
via Blogger https://ift.tt/3bP5gBH
(https://ift.tt/3bOJ2PUShow HN: Is it time to kill Scrum? https://ift.tt/3r03BPPTHE RIGHT PEOPLE https://ift.tt/3q0NbFITHE RIGHT PEOPLE https://ift.tt/3aYwmXC https://ift.tt/3aYwmXC
Show HN: Is it time to kill Scrum? https://ift.tt/3dQoaL1 February 27, 2021 at 06:34AM
via Blogger https://ift.tt/2O1DnxT
(https://ift.tt/3q00HJQShow HN: Ranking Data Sets by Quality https://ift.tt/3q1CwdZTHE RIGHT PEOPLE https://ift.tt/37PQfOvTHE RIGHT PEOPLE https://ift.tt/3syLAIV https://ift.tt/3syLAIV
Show HN: Ranking Data Sets by Quality https://ift.tt/384iNDz February 27, 2021 at 03:50AM
via Blogger https://ift.tt/2MBWfDq
(https://ift.tt/2NNEotJShow HN: GraphQL Zeus 3.0 – GraphQL Client now with subscription and JSON schema https://ift.tt/2Pj2qgATHE RIGHT PEOPLE https://ift.tt/37WaNVUTHE RIGHT PEOPLE https://ift.tt/3ksUk0p https://ift.tt/3ksUk0p
Show HN: GraphQL Zeus 3.0 – GraphQL Client now with subscription and JSON schema https://ift.tt/2lc2RtS February 27, 2021 at 03:50AM
via Blogger https://ift.tt/3b1epaZ
(https://ift.tt/2NEnE8iShow HN: A tiny static site generator for publishing directory websites https://ift.tt/37TmcWmTHE RIGHT PEOPLE https://ift.tt/3krNW9ITHE RIGHT PEOPLE https://ift.tt/3pWcb0V https://ift.tt/3pWcb0V
Show HN: A tiny static site generator for publishing directory websites https://ift.tt/3qZcpWo February 27, 2021 at 03:07AM
via Blogger https://ift.tt/2ZTbQ4m
(https://ift.tt/3bNflPdShow HN: Olvy – Beautiful release notes that add joy to shipping software https://ift.tt/2ZYGusYTHE RIGHT PEOPLE https://ift.tt/3sxZzyFTHE RIGHT PEOPLE https://ift.tt/2NLAb9J https://ift.tt/2NLAb9JTHE RIGHT PEOPLE https://ift.tt/3uEDK2kTHE RIGHT PEOPLE https://ift.tt/3r0cVmN https://ift.tt/3r0cVmN
Show HN: Olvy – Beautiful release notes that add joy to shipping software https://olvy.co February 27, 2021 at 12:39AM
via Blogger https://ift.tt/37UDKkT
via Blogger https://ift.tt/37Phs40
(https://ift.tt/3q4PjfrShow HN: YouTube Chat Inspector – a “go to channel” alternative https://ift.tt/2OayvGYTHE RIGHT PEOPLE https://ift.tt/3bJ6o9QTHE RIGHT PEOPLE https://ift.tt/2ZSLsrm https://ift.tt/2ZSLsrmTHE RIGHT PEOPLE https://ift.tt/2P78tofTHE RIGHT PEOPLE https://ift.tt/2ZWORpi https://ift.tt/2ZWORpi
Show HN: YouTube Chat Inspector – a “go to channel” alternative https://1.err.tokyo/ February 27, 2021 at 12:24AM
via Blogger https://ift.tt/3aZoUvx
via Blogger https://ift.tt/2P9qRNi
(https://ift.tt/3aZQA3pShow HN: My custom computer case that acts as an air purifier https://ift.tt/3aY2HOg
Show HN: My custom computer case that acts as an air purifier https://ift.tt/1FWS6eJ February 27, 2021 at 06:38AM
Show HN: Is it time to kill Scrum? https://ift.tt/3r03BPP
Show HN: Is it time to kill Scrum? https://ift.tt/3dQoaL1 February 27, 2021 at 06:34AM
Show HN: Ranking Data Sets by Quality https://ift.tt/3q1CwdZ
Show HN: Ranking Data Sets by Quality https://ift.tt/384iNDz February 27, 2021 at 03:50AM
Show HN: GraphQL Zeus 3.0 – GraphQL Client now with subscription and JSON schema https://ift.tt/2Pj2qgA
Show HN: GraphQL Zeus 3.0 – GraphQL Client now with subscription and JSON schema https://ift.tt/2lc2RtS February 27, 2021 at 03:50AM
Show HN: A tiny static site generator for publishing directory websites https://ift.tt/37TmcWm
Show HN: A tiny static site generator for publishing directory websites https://ift.tt/3qZcpWo February 27, 2021 at 03:07AM
Show HN: Olvy – Beautiful release notes that add joy to shipping software https://ift.tt/2ZYGusYTHE RIGHT PEOPLE https://ift.tt/3sxZzyFTHE RIGHT PEOPLE https://ift.tt/2NLAb9J https://ift.tt/2NLAb9J
Show HN: Olvy – Beautiful release notes that add joy to shipping software https://olvy.co February 27, 2021 at 12:39AM
via Blogger https://ift.tt/37UDKkT
(https://ift.tt/37TWZelShow HN: YouTube Chat Inspector – a “go to channel” alternative https://ift.tt/2OayvGYTHE RIGHT PEOPLE https://ift.tt/3bJ6o9QTHE RIGHT PEOPLE https://ift.tt/2ZSLsrm https://ift.tt/2ZSLsrm
Show HN: YouTube Chat Inspector – a “go to channel” alternative https://1.err.tokyo/ February 27, 2021 at 12:24AM
via Blogger https://ift.tt/3aZoUvx
(https://ift.tt/3uD9ViIShow HN: Olvy – Beautiful release notes that add joy to shipping software https://ift.tt/2ZYGusY
Show HN: Olvy – Beautiful release notes that add joy to shipping software https://olvy.co February 27, 2021 at 12:39AM
Show HN: YouTube Chat Inspector – a “go to channel” alternative https://ift.tt/2OayvGY
Show HN: YouTube Chat Inspector – a “go to channel” alternative https://1.err.tokyo/ February 27, 2021 at 12:24AM
Friday, February 26, 2021
Show HN: A blog post written in Dumbdown (new alternative to Markdown) https://ift.tt/3soJsTU
Show HN: A blog post written in Dumbdown (new alternative to Markdown) https://ift.tt/2Pg9aMc February 26, 2021 at 06:45AM
Show HN: GraphQL standard and nested mutations at same time https://ift.tt/3qVSnvKTHE RIGHT PEOPLE https://ift.tt/3qZdg9gTHE RIGHT PEOPLE https://ift.tt/2NL57a9 https://ift.tt/2NL57a9
Show HN: GraphQL standard and nested mutations at same time https://ift.tt/2NnSykx February 26, 2021 at 01:51AM
via Blogger https://ift.tt/3bzEZH6
(https://ift.tt/3sw5e8gShow HN: VSCode RemoteJobs – A remote jobs board vscode extension https://ift.tt/3aVueQrTHE RIGHT PEOPLE https://ift.tt/2ZSnFYCTHE RIGHT PEOPLE https://ift.tt/3dPH6cW https://ift.tt/3dPH6cWTHE RIGHT PEOPLE https://ift.tt/3bFqrWKTHE RIGHT PEOPLE https://ift.tt/2MqoLrk https://ift.tt/2MqoLrk
Show HN: VSCode RemoteJobs – A remote jobs board vscode extension https://ift.tt/3dN2NtW February 25, 2021 at 10:49PM
via Blogger https://ift.tt/3aS1UOR
via Blogger https://ift.tt/37QWYrx
(https://ift.tt/306MmRnShow HN: UML Diagram for GoF Design Pattern Examples Written in TypeScript https://ift.tt/37RT8P8THE RIGHT PEOPLE https://ift.tt/37PhxF3THE RIGHT PEOPLE https://ift.tt/3dPs4n9 https://ift.tt/3dPs4n9THE RIGHT PEOPLE https://ift.tt/3pZ5efrTHE RIGHT PEOPLE https://ift.tt/37PIrfE https://ift.tt/37PIrfE
Show HN: UML Diagram for GoF Design Pattern Examples Written in TypeScript https://ift.tt/2O04mKc February 25, 2021 at 11:04PM
via Blogger https://ift.tt/3aX8kwa
via Blogger https://ift.tt/3kqL6S9
(https://ift.tt/2O1GlCHShow HN: Decentralised Password Manager https://ift.tt/3dStBZM
Show HN: Decentralised Password Manager https://ift.tt/3bLI2wh February 26, 2021 at 06:07AM
Show HN: Interactive real-time chemistry and fluids: water electrolysis https://ift.tt/37NWqTxTHE RIGHT PEOPLE https://ift.tt/3kCC5G1THE RIGHT PEOPLE https://ift.tt/2O1ltvl https://ift.tt/2O1ltvl
Show HN: Interactive real-time chemistry and fluids: water electrolysis https://ift.tt/3pWuOBF February 26, 2021 at 12:42AM
via Blogger https://ift.tt/3uxmbkx
(https://ift.tt/3svLK3SShow HN: Zepel – A Jira Alternative https://ift.tt/3aVNo8G
Show HN: Zepel – A Jira Alternative https://zepel.io February 26, 2021 at 03:41AM
Show HN: GraphQL standard and nested mutations at same time https://ift.tt/3qVSnvK
Show HN: GraphQL standard and nested mutations at same time https://ift.tt/2NnSykx February 26, 2021 at 01:51AM
Show HN: VSCode RemoteJobs – A remote jobs board vscode extension https://ift.tt/3aVueQrTHE RIGHT PEOPLE https://ift.tt/2ZSnFYCTHE RIGHT PEOPLE https://ift.tt/3dPH6cW https://ift.tt/3dPH6cW
Show HN: VSCode RemoteJobs – A remote jobs board vscode extension https://ift.tt/3dN2NtW February 25, 2021 at 10:49PM
via Blogger https://ift.tt/3aS1UOR
(https://ift.tt/3kr2NRRShow HN: UML Diagram for GoF Design Pattern Examples Written in TypeScript https://ift.tt/37RT8P8THE RIGHT PEOPLE https://ift.tt/37PhxF3THE RIGHT PEOPLE https://ift.tt/3dPs4n9 https://ift.tt/3dPs4n9
Show HN: UML Diagram for GoF Design Pattern Examples Written in TypeScript https://ift.tt/2O04mKc February 25, 2021 at 11:04PM
via Blogger https://ift.tt/3aX8kwa
(https://ift.tt/3uxVOuXShow HN: How much is your domain name worth? A new site for domain appraisals https://ift.tt/3dMlH4fTHE RIGHT PEOPLE https://ift.tt/3bVsdDlTHE RIGHT PEOPLE https://ift.tt/3dRwqu6 https://ift.tt/3dRwqu6THE RIGHT PEOPLE https://ift.tt/3aXKhgOTHE RIGHT PEOPLE https://ift.tt/3aS9etP https://ift.tt/3aS9etP
Show HN: How much is your domain name worth? A new site for domain appraisals https://peerideas.com February 25, 2021 at 03:40PM
via Blogger https://ift.tt/3dNn6r7
via Blogger https://ift.tt/2MpQc4y
(https://ift.tt/3svjfmEShow HN: Redbean: single-file distributable web server https://ift.tt/3kpMLHDTHE RIGHT PEOPLE https://ift.tt/37Po7LBTHE RIGHT PEOPLE https://ift.tt/37ORu0E https://ift.tt/37ORu0ETHE RIGHT PEOPLE https://ift.tt/2O42n7yTHE RIGHT PEOPLE https://ift.tt/3uy6WI8 https://ift.tt/3uy6WI8
Show HN: Redbean: single-file distributable web server https://ift.tt/3r0m8LS February 25, 2021 at 07:33PM
via Blogger https://ift.tt/37Po8iD
via Blogger https://ift.tt/3qVUGiA
(https://ift.tt/2ZSumdcShow HN: Interactive real-time chemistry and fluids: water electrolysis https://ift.tt/37NWqTx
Show HN: Interactive real-time chemistry and fluids: water electrolysis https://ift.tt/3pWuOBF February 26, 2021 at 12:42AM
Show HN: VSCode RemoteJobs – A remote jobs board vscode extension https://ift.tt/3aVueQr
Show HN: VSCode RemoteJobs – A remote jobs board vscode extension https://ift.tt/3dN2NtW February 25, 2021 at 10:49PM
Show HN: UML Diagram for GoF Design Pattern Examples Written in TypeScript https://ift.tt/37RT8P8
Show HN: UML Diagram for GoF Design Pattern Examples Written in TypeScript https://ift.tt/2O04mKc February 25, 2021 at 11:04PM
Show HN: How much is your domain name worth? A new site for domain appraisals https://ift.tt/3dMlH4fTHE RIGHT PEOPLE https://ift.tt/3bVsdDlTHE RIGHT PEOPLE https://ift.tt/3dRwqu6 https://ift.tt/3dRwqu6
Show HN: How much is your domain name worth? A new site for domain appraisals https://peerideas.com February 25, 2021 at 03:40PM
via Blogger https://ift.tt/3dNn6r7
(https://ift.tt/3kx7OIrShow HN: Redbean: single-file distributable web server https://ift.tt/3kpMLHDTHE RIGHT PEOPLE https://ift.tt/37Po7LBTHE RIGHT PEOPLE https://ift.tt/37ORu0E https://ift.tt/37ORu0E
Show HN: Redbean: single-file distributable web server https://ift.tt/3r0m8LS February 25, 2021 at 07:33PM
via Blogger https://ift.tt/37Po8iD
(https://ift.tt/2ZUf3AAShow HN: How much is your domain name worth? A new site for domain appraisals https://ift.tt/3dMlH4f
Show HN: How much is your domain name worth? A new site for domain appraisals https://peerideas.com February 25, 2021 at 03:40PM
Show HN: Redbean: single-file distributable web server https://ift.tt/3kpMLHD
Show HN: Redbean: single-file distributable web server https://ift.tt/3r0m8LS February 25, 2021 at 07:33PM
Thursday, February 25, 2021
Show HN: Awesome-Nami https://ift.tt/3sqLS4mTHE RIGHT PEOPLE https://ift.tt/3aTTaHSTHE RIGHT PEOPLE https://ift.tt/3qScF9C https://ift.tt/3qScF9CTHE RIGHT PEOPLE https://ift.tt/2ZP5EueTHE RIGHT PEOPLE https://ift.tt/3dOJ3WO https://ift.tt/3dOJ3WO
Show HN: Awesome-Nami https://ift.tt/2P9zCqO February 24, 2021 at 09:44PM
via Blogger https://ift.tt/2O3B51q
via Blogger https://ift.tt/3knFsAb
(https://ift.tt/2ZOMzIzShow HN: Secret combinations of the CCP and other threats to democracy https://ift.tt/3kkXoeOTHE RIGHT PEOPLE https://ift.tt/3kmZyKYTHE RIGHT PEOPLE https://ift.tt/3uyfTkE https://ift.tt/3uyfTkE
Show HN: Secret combinations of the CCP and other threats to democracy https://ift.tt/37inI3Q February 25, 2021 at 01:00AM
via Blogger https://ift.tt/3bDOqW7
(https://ift.tt/3dTe6RcShow HN: Browser Extension to make a language test out of any website https://ift.tt/2ZQ0v5eTHE RIGHT PEOPLE https://ift.tt/37KQdaXTHE RIGHT PEOPLE https://ift.tt/3qXJjXh https://ift.tt/3qXJjXh
Show HN: Browser Extension to make a language test out of any website I was preparing to German C1 recently and my vocabulary was the bottleneck. I didn’t want to read boring materials and do boring exercises. Instead I noticed that there are sites in German, which I naturally enjoy. So I just made an extension to make language tests out of them. The approach is the following: 1) Open an interesting webpage in your target language. 2) Select text. 3) The extension replaces some words with gaps. 4) Read the text, fill in the gaps. Obviously just typing random words out of the blue can be overwhelming, so there is a mode to drag&drop words from a list into the correct places. I personally see this as active reading. My brain not only consumes information, but always try to guess the word from the context. I suspect that this helps with active vocabulary (i.e. to actually use the new words in writing). In the end I passed C1 exam (obviously I did other preparations too, not only this extension). This is a beta version for now and it is 100% free: Chrome: https://ift.tt/3swC3SN Firefox: https://ift.tt/2ZMgXDh If you didn’t enjoy my explanation skills, there is an example video here: https://ift.tt/2OYXUUk I would love to hear whether you find this useful and your ideas how I could improve it. I might add payed features eventually to help developing the extension further, but I don’t know a good mechanism to do this. I understand that 1$ in the US is very different from 1$ in e.g. India. I want this extension to bring value to everyone independently of their location and financial state. My current plan is to have the base version (i.e. like now) always free, since this already provides majority of value. Curious to hear your thoughts. February 25, 2021 at 12:41AM
via Blogger https://ift.tt/2NuEoyL
(https://ift.tt/2ZP4fnnShow HN: A whirlwind Lisp adventure https://ift.tt/3dKWEOMTHE RIGHT PEOPLE https://ift.tt/3dL0Z4MTHE RIGHT PEOPLE https://ift.tt/2ZN1QtB https://ift.tt/2ZN1QtB
Show HN: A whirlwind Lisp adventure https://ift.tt/3dGQUFW February 24, 2021 at 09:17PM
via Blogger https://ift.tt/3utcQdv
(https://ift.tt/3urqv53Show HN: QEMU front end for M1 and Intel Macs https://ift.tt/3dJj7vKTHE RIGHT PEOPLE https://ift.tt/3km994MTHE RIGHT PEOPLE https://ift.tt/3pRhuP1 https://ift.tt/3pRhuP1
Show HN: QEMU front end for M1 and Intel Macs https://mac.getutm.app/ February 24, 2021 at 10:48PM
via Blogger https://ift.tt/3uxuPzu
(https://ift.tt/3aTPq9vShow HN: A technology to create animated digital artwork https://ift.tt/2ZNEIuLTHE RIGHT PEOPLE https://ift.tt/3dWXLeHTHE RIGHT PEOPLE https://ift.tt/2NuBqdD https://ift.tt/2NuBqdDTHE RIGHT PEOPLE https://ift.tt/3uysIveTHE RIGHT PEOPLE https://ift.tt/3kndDs3 https://ift.tt/3kndDs3
Show HN: A technology to create animated digital artwork https://gif.com.ai February 24, 2021 at 05:20PM
via Blogger https://ift.tt/3pU1RGq
via Blogger https://ift.tt/3dXiTl1
(https://ift.tt/3aSoFSPShow HN: Alert yourself after a long-running task in terminal https://ift.tt/3spw0iOTHE RIGHT PEOPLE https://ift.tt/3aRdHwKTHE RIGHT PEOPLE https://ift.tt/3sihitQ https://ift.tt/3sihitQTHE RIGHT PEOPLE https://ift.tt/3kqJzeTTHE RIGHT PEOPLE https://ift.tt/3dLMT2P https://ift.tt/3dLMT2P
Show HN: Alert yourself after a long-running task in terminal https://ift.tt/3sogovH February 24, 2021 at 06:30PM
via Blogger https://ift.tt/3utVLAc
via Blogger https://ift.tt/3svxdVP
(https://ift.tt/3pUi26TShow HN: Awesome-Nami https://ift.tt/3sqLS4mTHE RIGHT PEOPLE https://ift.tt/3aTTaHSTHE RIGHT PEOPLE https://ift.tt/3qScF9C https://ift.tt/3qScF9C
Show HN: Awesome-Nami https://ift.tt/2P9zCqO February 24, 2021 at 09:44PM
via Blogger https://ift.tt/2O3B51q
(https://ift.tt/3dF2zoKShow HN: Secret combinations of the CCP and other threats to democracy https://ift.tt/3kkXoeO
Show HN: Secret combinations of the CCP and other threats to democracy https://ift.tt/37inI3Q February 25, 2021 at 01:00AM
Show HN: Browser Extension to make a language test out of any website https://ift.tt/2ZQ0v5e
Show HN: Browser Extension to make a language test out of any website I was preparing to German C1 recently and my vocabulary was the bottleneck. I didn't want to read boring materials and do boring exercises. Instead I noticed that there are sites in German, which I naturally enjoy. So I just made an extension to make language tests out of them. The approach is the following: 1) Open an interesting webpage in your target language. 2) Select text. 3) The extension replaces some words with gaps. 4) Read the text, fill in the gaps. Obviously just typing random words out of the blue can be overwhelming, so there is a mode to drag&drop words from a list into the correct places. I personally see this as active reading. My brain not only consumes information, but always try to guess the word from the context. I suspect that this helps with active vocabulary (i.e. to actually use the new words in writing). In the end I passed C1 exam (obviously I did other preparations too, not only this extension). This is a beta version for now and it is 100% free: Chrome: https://ift.tt/3swC3SN Firefox: https://ift.tt/2ZMgXDh If you didn't enjoy my explanation skills, there is an example video here: https://ift.tt/2OYXUUk I would love to hear whether you find this useful and your ideas how I could improve it. I might add payed features eventually to help developing the extension further, but I don't know a good mechanism to do this. I understand that 1$ in the US is very different from 1$ in e.g. India. I want this extension to bring value to everyone independently of their location and financial state. My current plan is to have the base version (i.e. like now) always free, since this already provides majority of value. Curious to hear your thoughts. February 25, 2021 at 12:41AM
Show HN: A whirlwind Lisp adventure https://ift.tt/3dKWEOM
Show HN: A whirlwind Lisp adventure https://ift.tt/3dGQUFW February 24, 2021 at 09:17PM
Show HN: QEMU front end for M1 and Intel Macs https://ift.tt/3dJj7vK
Show HN: QEMU front end for M1 and Intel Macs https://mac.getutm.app/ February 24, 2021 at 10:48PM
Show HN: A technology to create animated digital artwork https://ift.tt/2ZNEIuLTHE RIGHT PEOPLE https://ift.tt/3dWXLeHTHE RIGHT PEOPLE https://ift.tt/2NuBqdD https://ift.tt/2NuBqdD
Show HN: A technology to create animated digital artwork https://gif.com.ai February 24, 2021 at 05:20PM
via Blogger https://ift.tt/3pU1RGq
(https://ift.tt/3pTanpoShow HN: Can’t afford Bloomberg Terminal? No prob, I built the next Best thing https://ift.tt/3aW2HP3THE RIGHT PEOPLE https://ift.tt/3aROuSVTHE RIGHT PEOPLE https://ift.tt/3knSvl6 https://ift.tt/3knSvl6THE RIGHT PEOPLE https://ift.tt/37O11FgTHE RIGHT PEOPLE https://ift.tt/3klMVQe https://ift.tt/3klMVQe
Show HN: Can’t afford Bloomberg Terminal? No prob, I built the next Best thing https://ift.tt/3urpeuC February 24, 2021 at 05:47PM
via Blogger https://ift.tt/3pQv0T1
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(https://ift.tt/3pRqXpDShow HN: Alert yourself after a long-running task in terminal https://ift.tt/3spw0iOTHE RIGHT PEOPLE https://ift.tt/3aRdHwKTHE RIGHT PEOPLE https://ift.tt/3sihitQ https://ift.tt/3sihitQ
Show HN: Alert yourself after a long-running task in terminal https://ift.tt/3sogovH February 24, 2021 at 06:30PM
via Blogger https://ift.tt/3utVLAc
(https://ift.tt/2NtNewHShow HN: Awesome-Nami https://ift.tt/3sqLS4m
Show HN: Awesome-Nami https://ift.tt/2P9zCqO February 24, 2021 at 09:44PM
Show HN: A technology to create animated digital artwork https://ift.tt/2ZNEIuL
Show HN: A technology to create animated digital artwork https://gif.com.ai February 24, 2021 at 05:20PM
Show HN: Can’t afford Bloomberg Terminal? No prob, I built the next Best thing https://ift.tt/3aW2HP3THE RIGHT PEOPLE https://ift.tt/3aROuSVTHE RIGHT PEOPLE https://ift.tt/3knSvl6 https://ift.tt/3knSvl6
Show HN: Can’t afford Bloomberg Terminal? No prob, I built the next Best thing https://ift.tt/3urpeuC February 24, 2021 at 05:47PM
via Blogger https://ift.tt/3pQv0T1
(https://ift.tt/37Gf9jNShow HN: Alert yourself after a long-running task in terminal https://ift.tt/3spw0iO
Show HN: Alert yourself after a long-running task in terminal https://ift.tt/3sogovH February 24, 2021 at 06:30PM
Show HN: Can’t afford Bloomberg Terminal? No prob, I built the next Best thing https://ift.tt/3aW2HP3
Show HN: Can’t afford Bloomberg Terminal? No prob, I built the next Best thing https://ift.tt/3urpeuC February 24, 2021 at 05:47PM
Wednesday, February 24, 2021
Show HN: Summarize IPs (bulk geo, asn, privacy report for IP addresses) https://ift.tt/3pQaOk8
Show HN: Summarize IPs (bulk geo, asn, privacy report for IP addresses) We recently launched a free tool that shows a summary of the top cities, countries, asns, routes and much of the other context that we (IPinfo) have for any IP addresses you paste into it. Sample results: https://ift.tt/3dGPH1p You can paste any arbitrary text into the tool at https://ift.tt/3snYnxQ and we'll extract the IPs. It can be useful for getting a quick summary of a set of IPs (eg. click on first google result for "public proxies", copy and paste the results into the tool, and see where the proxies are located, and the networks they're on), for investigating issues (eg. your website gets a large spike of traffic, paste the recent IPs from your access log into the tool and see if there's a specific network that stands out), threat investigation, debugging and more. We're planning to add more functionality and data points in the near future, and any feedback or suggestions are very welcome! February 24, 2021 at 08:16AM
Show HN: I built a cute, little isometric block stacking editor in QML https://ift.tt/2P6TWsSTHE RIGHT PEOPLE https://ift.tt/3bP8d5hTHE RIGHT PEOPLE https://ift.tt/2NZW7O4 https://ift.tt/2NZW7O4THE RIGHT PEOPLE https://ift.tt/3pPybdQTHE RIGHT PEOPLE https://ift.tt/3byZS5w https://ift.tt/3byZS5w
Show HN: I built a cute, little isometric block stacking editor in QML https://ift.tt/3kqpqG0 February 24, 2021 at 02:23AM
via Blogger https://ift.tt/3snYTvH
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(https://ift.tt/3slXENwShow HN: Tru – An Esoteric Language with Brackets https://ift.tt/3uuV7lQTHE RIGHT PEOPLE https://ift.tt/3skSNw4THE RIGHT PEOPLE https://ift.tt/3dHmCmz https://ift.tt/3dHmCmzTHE RIGHT PEOPLE https://ift.tt/3qSuFArTHE RIGHT PEOPLE https://ift.tt/37HBf5k https://ift.tt/37HBf5k
Show HN: Tru – An Esoteric Language with Brackets https://ift.tt/31BTJ3d February 24, 2021 at 01:26AM
via Blogger https://ift.tt/3kiz6lL
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(https://ift.tt/3qQo61BShow HN: I made a 3D sandbox for designing custom Game Boys https://ift.tt/3aR8fKgTHE RIGHT PEOPLE https://ift.tt/3uqOJfzTHE RIGHT PEOPLE https://ift.tt/3kilyqm https://ift.tt/3kilyqm
Show HN: I made a 3D sandbox for designing custom Game Boys https://ift.tt/3qUoH2i February 24, 2021 at 05:56AM
via Blogger https://ift.tt/37JFYDI
(https://ift.tt/37JjV01Show HN: Extensible command line tool for pandas data processing https://ift.tt/3snkJ2uTHE RIGHT PEOPLE https://ift.tt/3kgtzfyTHE RIGHT PEOPLE https://ift.tt/3qPGoju https://ift.tt/3qPGoju
Show HN: Extensible command line tool for pandas data processing https://ift.tt/2ZIrbVm February 24, 2021 at 04:20AM
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(https://ift.tt/3us1qXuShow HN: Shellmath: Floating-point arithmetic directly in bash https://ift.tt/2ZLxRSF
Show HN: Shellmath: Floating-point arithmetic directly in bash https://ift.tt/2Z7S6JT February 24, 2021 at 07:17AM
Show HN: The easiest way to add A/B testing on your site https://ift.tt/3dGDOZl
Show HN: The easiest way to add A/B testing on your site https://juggler.dev February 24, 2021 at 07:08AM
Show HN: I built a cute, little isometric block stacking editor in QML https://ift.tt/2P6TWsSTHE RIGHT PEOPLE https://ift.tt/3bP8d5hTHE RIGHT PEOPLE https://ift.tt/2NZW7O4 https://ift.tt/2NZW7O4
Show HN: I built a cute, little isometric block stacking editor in QML https://ift.tt/3kqpqG0 February 24, 2021 at 02:23AM
via Blogger https://ift.tt/3snYTvH
(https://ift.tt/2MjpISeShow HN: Tru – An Esoteric Language with Brackets https://ift.tt/3uuV7lQTHE RIGHT PEOPLE https://ift.tt/3skSNw4THE RIGHT PEOPLE https://ift.tt/3dHmCmz https://ift.tt/3dHmCmz
Show HN: Tru – An Esoteric Language with Brackets https://ift.tt/31BTJ3d February 24, 2021 at 01:26AM
via Blogger https://ift.tt/3kiz6lL
(https://ift.tt/3pKvn1qShow HN: I made a 3D sandbox for designing custom Game Boys https://ift.tt/3aR8fKg
Show HN: I made a 3D sandbox for designing custom Game Boys https://ift.tt/3qUoH2i February 24, 2021 at 05:56AM
Show HN: Extensible command line tool for pandas data processing https://ift.tt/3snkJ2u
Show HN: Extensible command line tool for pandas data processing https://ift.tt/2ZIrbVm February 24, 2021 at 04:20AM
Show HN: I built a cute, little isometric block stacking editor in QML https://ift.tt/2P6TWsS
Show HN: I built a cute, little isometric block stacking editor in QML https://ift.tt/3kqpqG0 February 24, 2021 at 02:23AM
Show HN: Tru – An Esoteric Language with Brackets https://ift.tt/3uuV7lQ
Show HN: Tru – An Esoteric Language with Brackets https://ift.tt/31BTJ3d February 24, 2021 at 01:26AM
Show HN: Contra – Work the Way You Want https://ift.tt/2NYC8iMTHE RIGHT PEOPLE https://ift.tt/3smb5wPTHE RIGHT PEOPLE https://ift.tt/3aP5ARG https://ift.tt/3aP5ARGTHE RIGHT PEOPLE https://ift.tt/3dFBvppTHE RIGHT PEOPLE https://ift.tt/3pPhaAm https://ift.tt/3pPhaAm
Show HN: Contra – Work the Way You Want https://contra.com/ February 23, 2021 at 05:45PM
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(https://ift.tt/37GyJwaShow HN: NotionDog – The easiest way to build websites with nothing but Notion https://ift.tt/37Kj8vMTHE RIGHT PEOPLE https://ift.tt/3dTwmKDTHE RIGHT PEOPLE https://ift.tt/3pPnBmM https://ift.tt/3pPnBmMTHE RIGHT PEOPLE https://ift.tt/3kkhV3hTHE RIGHT PEOPLE https://ift.tt/3smTCVg https://ift.tt/3smTCVg
Show HN: NotionDog – The easiest way to build websites with nothing but Notion https://notion.dog February 23, 2021 at 07:03PM
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(https://ift.tt/3pOYCjCShow HN: Contra – Work the Way You Want https://ift.tt/2NYC8iMTHE RIGHT PEOPLE https://ift.tt/3smb5wPTHE RIGHT PEOPLE https://ift.tt/3aP5ARG https://ift.tt/3aP5ARG
Show HN: Contra – Work the Way You Want https://contra.com/ February 23, 2021 at 05:45PM
via Blogger https://ift.tt/2P6GxRz
(https://ift.tt/3uuApT8Show HN: NotionDog – The easiest way to build websites with nothing but Notion https://ift.tt/37Kj8vMTHE RIGHT PEOPLE https://ift.tt/3dTwmKDTHE RIGHT PEOPLE https://ift.tt/3pPnBmM https://ift.tt/3pPnBmM
Show HN: NotionDog – The easiest way to build websites with nothing but Notion https://notion.dog February 23, 2021 at 07:03PM
via Blogger https://ift.tt/2NBYQh5
(https://ift.tt/3utOeRSShow HN: Contra – Work the Way You Want https://ift.tt/2NYC8iM
Show HN: Contra – Work the Way You Want https://contra.com/ February 23, 2021 at 05:45PM
Show HN: NotionDog – The easiest way to build websites with nothing but Notion https://ift.tt/37Kj8vM
Show HN: NotionDog – The easiest way to build websites with nothing but Notion https://notion.dog February 23, 2021 at 07:03PM
Tuesday, February 23, 2021
Show HN: MobX-Style Observables in Svelte https://ift.tt/2ZELdjETHE RIGHT PEOPLE https://ift.tt/3usXLcaTHE RIGHT PEOPLE https://ift.tt/3qIYfZc https://ift.tt/3qIYfZcTHE RIGHT PEOPLE https://ift.tt/2P0fBTjTHE RIGHT PEOPLE https://ift.tt/3aNt9dC https://ift.tt/3aNt9dC
Show HN: MobX-Style Observables in Svelte https://ift.tt/2NOUClW February 23, 2021 at 12:29AM
via Blogger https://ift.tt/3dFgKdu
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(https://ift.tt/3aMo1q1Show HN: Test your Gitlab CI Pipelines changes locally using Docker https://ift.tt/2ZG3VqTTHE RIGHT PEOPLE https://ift.tt/2NOFSUaTHE RIGHT PEOPLE https://ift.tt/37H1uZM https://ift.tt/37H1uZM
Show HN: Test your Gitlab CI Pipelines changes locally using Docker https://ift.tt/3kfmpYU February 23, 2021 at 04:47AM
via Blogger https://ift.tt/2MmdSHc
(https://ift.tt/3sfVsHaShow HN: Track what you watch and see where to watch movies and shows https://ift.tt/2ZJNqdC
Show HN: Track what you watch and see where to watch movies and shows https://ift.tt/3qTXRr6 February 23, 2021 at 10:17AM
Launch HN: GreaseBoss (YC W21) – Lubricate with Confidence https://ift.tt/2NolF7X
Launch HN: GreaseBoss (YC W21) – Lubricate with Confidence We are Steve, Tim and Pete, the cofounders of GreaseBoss ( https://ift.tt/37CHvva ). GreaseBoss is a hardware and software system that verifies that the greasing of industrial equipment is completed on time and according to specification. Greasing, you say? Yup, you heard that right. Incorrect greasing is the number one cause for machinery failure on industrial sites. Industrial machinery failure costs the global economy $21B a year. Greasing is a big deal! We know this is an unsexy part of the economy, so we won’t judge you if you have never heard of a zerk (grease point) before. Some of our favourite places you can find zerks include super yachts - 200 zerks, private planes - 80 zerks, breweries - 2000 zerks, theme parks - 1500 zerks. Other places with lots of zerks include factories, mines, utilities, farm equipment, trucks and military vehicles. The idea for GreaseBoss came when Steve and Tim saw frequent machine breakdowns due to incorrect greasing while supporting mine sites in Outback Australia. This problem costs Australian mine sites hundreds of millions of dollars in lost productivity every year - disrupted production, spending on parts and labour for repairs. We built and tested our prototypes during the pandemic lockdowns on the back deck, over Zoom calls. We have now developed our MVP and have quit our jobs to chase GreaseBoss full time. On the hardware side: we put RFID tags that fit like washers under each zerk. These are read by a head unit that is retrofittable to existing grease guns, which includes a custom RFID reader integrated into the nozzle. It also includes a flow meter and supporting electronics. Our device has 4G, Wifi and LoRa for comms, but also operates in an offline mode for customers in remote locations. Our hardware is rugged, dust proof, and water proof for some of the toughest operational environments (and operators..) On the software side, we record each greasing in the cloud, right as the worker greases the zerk. Since most industry is still tracking this using paperwork, you can imagine how much more efficient this is. Our customers get back to production much faster. We are building a HaaS (Hardware as a Service - is that a thing?) business model: we charge customers upfront for the hardware and then a software subscription fee. We are experimenting with per zerk, per machine and per site pricing. We haven’t found the sweet spot yet. We have GreaseBoss installed at a large coal mine, a quarry and on excavators at the dump in Queensland, Australia. We also have a South African greasing contractor using our system. We will be online for the rest of the day answering your questions (we are in AEST timezone). We are very excited to receive your ideas, experiences and feedback! February 23, 2021 at 10:11AM
Show HN: Recollec – Faster and Easier Remote Employee Onboardings https://ift.tt/2ZK3M5S
Show HN: Recollec – Faster and Easier Remote Employee Onboardings Hey Everyone, My name is Firat, I’m the co-founder of Recollec [https://recollec.com]. It’s a collaborative workspace for employee onboarding and upskilling. More and more companies announcing that they are going all remote. Given the conditions, we realized how hard it is to make employee onboarding training. It usually happens in the endless zoom calls, back and forth... Yet, most of these calls can be archived for another onboarding. Also, there are thousands of free content out there which you can redirect your employees to learn by themselves. So we build Recollec which is a collaborative workspace where every employee can share most useful content from various resources in one feed, and turn them into learning paths to create interactive onboarding experiences. To be honest, I was hoping to find some folks who have a problem with the employee onboarding process at their work. I really could use some help and feedback right now. I know your time is valuable, and I absolutely don’t want to waste it. So, maybe we could find a way to create a tailor made solution for your onboarding process at work, and save some time for you. Here’s our demo: https://ift.tt/3qMcNqY You can reach me out at firat@recollec.com Thanks everyone February 23, 2021 at 10:10AM
Show HN: A coding coach to help you write better code faster https://ift.tt/2ZOZYQJ
Show HN: A coding coach to help you write better code faster Hey HN! I’m Julien, the founder of Code Inspector, a platform that helps developers and managers produce better code and reduce technical debt. We would love to get some feedback from the Hacker News community. Our platform inspects code, looks for defects (security, vulnerability, design, performance, lack of documentation), automates code reviews and reports on team activity. You can customize violation alerts to reduce false positives. We currently support GitHub, Bitbucket and Gitlab. I’d love to hear your thoughts on what you would expect from such a platform (what you like, dislike) and what could help developers produce better code. Thanks for reading thus far and hope to hear from the HN community. - Code Inspector: https://ift.tt/3h6dtnj - GitHub App: https://ift.tt/2MgR0IX - Bitbucket App: https://ift.tt/2Nz3zzV February 23, 2021 at 09:31AM
Launch HN: Abacum (YC W21) – Easy collaboration and reporting for finance teams https://ift.tt/3pKswpdTHE RIGHT PEOPLE https://ift.tt/3keo158THE RIGHT PEOPLE https://ift.tt/3dMUXjQ https://ift.tt/3dMUXjQ
Launch HN: Abacum (YC W21) – Easy collaboration and reporting for finance teams Hi HN! We’re Jorge and Julio, cofounders of Abacum ( https://www.abacum.io/ ). We’re not sure how many fintech geeks like us are on HN but we’re very excited to launch to you guys anyway! Abacum makes it easier for Finance teams to access real-time data, collaborate and generate reports. Think of having all the operational and financial data modeled in one place, and of the Finance team easily sharing and collecting information for other teams to make faster, better decisions. Scale ups have unique finance needs. First, they have spent the last years growing unnaturally fast, held together by a mixture of google sheets, csv files, a disconnected tech stack and a lot of copy paste. Second, growing 4x a year means that historical data is out of date within 3 months. Finally, with so many channels to stay connected, it’s impossible to find where the Tech Lead shared that key assumption for the board forecast. Both Jorge and I have lived these experiences – we’ve spent too many long nights and days in number-crunching, without the proper time to analyze the data and to provide insights, becoming the key business partner we wanted. So yes, in the middle of the lockdown with 3 children each decided to leave everything to build the product we wish we had! Abacum can now connect to any data source, update a business plan automatically and give you finance specific tools to help you do what you need to. Think performance and pivot tables, cohort and waterfall graphs, and ways to easily collaborate. Our engine provides the flexibility of excel while minimizing human errors, reducing fears of breaking “the model” and scaling up to and past IPO size. We’re big believers that collaboration, and not the business model, needs to be placed at the center of the product. Everything we built in Abacum is easily shareable and built to be easily understood by non-finance professionals. Ask (or remind) others in your company to collaborate, be it for updating forecasts or commenting on reporting decks, right where the needed context is. We’ve also set up different workflows for customers to easily gather the data bottom-up from different teams. We are constantly looking to improve Abacum, so we’d love to hear any feedback, questions or wisdom you have to share with us! We’d love to show you (or anybody that you think may be interested) a 10′ demo of our product – please let us know and we’ll reach out. Thanks so much, HN! February 23, 2021 at 05:20AM
via Blogger https://ift.tt/3dMLc5c
(https://ift.tt/3dCnJ6LShow HN: GPT-3 resources, examples, and use cases https://ift.tt/3sjIZCrTHE RIGHT PEOPLE https://ift.tt/3pMuDcaTHE RIGHT PEOPLE https://ift.tt/3keQFmA https://ift.tt/3keQFmA
Show HN: GPT-3 resources, examples, and use cases https://gpt3demo.com/ February 23, 2021 at 03:04AM
via Blogger https://ift.tt/3si3jnO
(https://ift.tt/3aNKKBOShow HN: MobX-Style Observables in Svelte https://ift.tt/2ZELdjETHE RIGHT PEOPLE https://ift.tt/3usXLcaTHE RIGHT PEOPLE https://ift.tt/3qIYfZc https://ift.tt/3qIYfZc
Show HN: MobX-Style Observables in Svelte https://ift.tt/2NOUClW February 23, 2021 at 12:29AM
via Blogger https://ift.tt/3dFgKdu
(https://ift.tt/3kdWGjHShow HN: Test your Gitlab CI Pipelines changes locally using Docker https://ift.tt/2ZG3VqT
Show HN: Test your Gitlab CI Pipelines changes locally using Docker https://ift.tt/3kfmpYU February 23, 2021 at 04:47AM
Launch HN: Abacum (YC W21) – Easy collaboration and reporting for finance teams https://ift.tt/3pKswpd
Launch HN: Abacum (YC W21) – Easy collaboration and reporting for finance teams Hi HN! We're Jorge and Julio, cofounders of Abacum ( https://www.abacum.io/ ). We're not sure how many fintech geeks like us are on HN but we're very excited to launch to you guys anyway! Abacum makes it easier for Finance teams to access real-time data, collaborate and generate reports. Think of having all the operational and financial data modeled in one place, and of the Finance team easily sharing and collecting information for other teams to make faster, better decisions. Scale ups have unique finance needs. First, they have spent the last years growing unnaturally fast, held together by a mixture of google sheets, csv files, a disconnected tech stack and a lot of copy paste. Second, growing 4x a year means that historical data is out of date within 3 months. Finally, with so many channels to stay connected, it's impossible to find where the Tech Lead shared that key assumption for the board forecast. Both Jorge and I have lived these experiences - we've spent too many long nights and days in number-crunching, without the proper time to analyze the data and to provide insights, becoming the key business partner we wanted. So yes, in the middle of the lockdown with 3 children each decided to leave everything to build the product we wish we had! Abacum can now connect to any data source, update a business plan automatically and give you finance specific tools to help you do what you need to. Think performance and pivot tables, cohort and waterfall graphs, and ways to easily collaborate. Our engine provides the flexibility of excel while minimizing human errors, reducing fears of breaking "the model" and scaling up to and past IPO size. We're big believers that collaboration, and not the business model, needs to be placed at the center of the product. Everything we built in Abacum is easily shareable and built to be easily understood by non-finance professionals. Ask (or remind) others in your company to collaborate, be it for updating forecasts or commenting on reporting decks, right where the needed context is. We've also set up different workflows for customers to easily gather the data bottom-up from different teams. We are constantly looking to improve Abacum, so we'd love to hear any feedback, questions or wisdom you have to share with us! We'd love to show you (or anybody that you think may be interested) a 10' demo of our product - please let us know and we'll reach out. Thanks so much, HN! February 23, 2021 at 05:20AM
Show HN: GPT-3 resources, examples, and use cases https://ift.tt/3sjIZCr
Show HN: GPT-3 resources, examples, and use cases https://gpt3demo.com/ February 23, 2021 at 03:04AM
Show HN: MobX-Style Observables in Svelte https://ift.tt/2ZELdjE
Show HN: MobX-Style Observables in Svelte https://ift.tt/2NOUClW February 23, 2021 at 12:29AM
Show HN: Constexpr.js https://ift.tt/3pJSF7MTHE RIGHT PEOPLE https://ift.tt/3dzYK4dTHE RIGHT PEOPLE https://ift.tt/3qNUyBv https://ift.tt/3qNUyBvTHE RIGHT PEOPLE https://ift.tt/2P3lrDETHE RIGHT PEOPLE https://ift.tt/2MeDtSa https://ift.tt/2MeDtSa
Show HN: Constexpr.js https://ift.tt/3k8FITJ February 22, 2021 at 06:24PM
via Blogger https://ift.tt/3uzbi1Q
via Blogger https://ift.tt/3dEmAMc
(https://ift.tt/3pRUTSEShow HN: Community of professionals, with satisfaction and transparency at core https://ift.tt/37E1da0THE RIGHT PEOPLE https://ift.tt/3sgEwjWTHE RIGHT PEOPLE https://ift.tt/3shQ5Hv https://ift.tt/3shQ5HvTHE RIGHT PEOPLE https://ift.tt/3aKh74ETHE RIGHT PEOPLE https://ift.tt/3spKijv https://ift.tt/3spKijv
Show HN: Community of professionals, with satisfaction and transparency at core https://app.everi.one/ February 22, 2021 at 05:58PM
via Blogger https://ift.tt/2P4v05h
via Blogger https://ift.tt/3pOSwjg
(https://ift.tt/3aI1vP2Show HN: Constexpr.js https://ift.tt/3pJSF7MTHE RIGHT PEOPLE https://ift.tt/3dzYK4dTHE RIGHT PEOPLE https://ift.tt/3qNUyBv https://ift.tt/3qNUyBv
Show HN: Constexpr.js https://ift.tt/3k8FITJ February 22, 2021 at 06:24PM
via Blogger https://ift.tt/3uzbi1Q
(https://ift.tt/3kb9sPSShow HN: Community of professionals, with satisfaction and transparency at core https://ift.tt/37E1da0THE RIGHT PEOPLE https://ift.tt/3sgEwjWTHE RIGHT PEOPLE https://ift.tt/3shQ5Hv https://ift.tt/3shQ5Hv
Show HN: Community of professionals, with satisfaction and transparency at core https://app.everi.one/ February 22, 2021 at 05:58PM
via Blogger https://ift.tt/2P4v05h
(https://ift.tt/3upVOx2Show HN: Constexpr.js https://ift.tt/3pJSF7M
Show HN: Constexpr.js https://ift.tt/3k8FITJ February 22, 2021 at 06:24PM
Show HN: Community of professionals, with satisfaction and transparency at core https://ift.tt/37E1da0
Show HN: Community of professionals, with satisfaction and transparency at core https://app.everi.one/ February 22, 2021 at 05:58PM
Monday, February 22, 2021
Launch HN: H3X (YC W21) – High power density electric aircraft motors https://ift.tt/3qERuaO
Launch HN: H3X (YC W21) – High power density electric aircraft motors Hey HN! I’m Jason, one of the co-founders at H3X ( https://www.h3x.tech ). We are building the lightest electric propulsion systems in the world. Our first product is a 250kW (330HP) integrated motor drive in a 18kg (40lb) package. It combines the electric motor, inverter, and gearbox into a single unit, resulting in an ultra-high-power density solution for electric aircraft (and other mass sensitive applications). In terms of electrification, we believe the aircraft industry is where automotive was ten years ago. There are many companies working on eVTOL and single-seaters, but very few are working on large commercial single-aisle electric aircraft such as a 737. This class of aircraft is absolutely critical to electrify as it accounts for the most passenger-miles [1] and is the biggest slice of the pie in terms of aviation emissions. Beyond the environmental impact, there are huge potential cost savings from both fuel (or lack thereof) and reduced maintenance for airlines. Aircraft are very mass sensitive so there are two main technology challenges that need to be solved to enable this class of electric aviation – (1) High energy density and efficient energy storage (batteries, hydrogen fuel cells, etc.) (2) Light, efficient, and high-power density electric propulsion systems (electric motors, power electronics, gearbox) There are many people working on (1) and great strides are being made [2][3]. We are focused on solving (2). A study done by the DOE determined that for a 737 to complete a five-hour flight, the propulsion system must be >12 kW/kg [4]. Today, best-in-class systems have a power density of 3-4 kW/kg. With our first product, we are targeting 13 kW/kg, making it an attractive solution for near-term Advanced Air Mobility (AAM) applications as well as an enabling technology for the aviation industry to enter the next stage of electrification. There are some cool things we are doing with the electromagnetics, power electronics, and the integration between the systems to get to the 13 kW/kg. There is not a single magic bullet, but rather a combination of multiple technological advances - 3D printed copper stator coils, high frequency SiC power electronics, and a synergistic cooling system to name a few. Our origins in electrification stem back to our college days where we built Formula-style electric racecars (s/o to Wisconsin Racing FSAE!). During year 1 of the program, we got so fed up with our COTS motors and inverters, we decided to go clean slate and build our own from the ground up the following year. Those were super happy fun times. Lots of dead IGBTs and all-nighters in the shop, but in the end, we got everything working and delivered! It was a true test of resilience and taught us how to GSD. Great preparation for starting a company. This led us to grad school and it became apparent during this time that the electric aircraft industry was a sleeping giant ready to be woken. We felt uniquely positioned to capitalize on this opportunity, so after about a year in industry, we left our full-time jobs and went all in. We’ve got a long road ahead - aviation is tough, there’s no denying that. In addition to the engineering challenges, there are also major certification barriers. However, CO2 is a serious problem and right now the major aviation players don’t have a compelling plan to meet the goals laid out in the Paris Agreement. Innovation needs to come from the outside and that’s what we’re doing at H3X. I’d love to hear your guys thoughts and would be happy to answer any questions you have. Sources: [1] https://ift.tt/2NrNzQc [2] https://ift.tt/2MjLy8o... [3] https://hypoint.com/ , https://ift.tt/3hRFbEC [4] ASCEND DE-FOA-0002238 February 22, 2021 at 06:11AM
Show HN: Magic Login – Passwordless login and transactional emails as a service https://ift.tt/3updGI8
Show HN: Magic Login – Passwordless login and transactional emails as a service https://magiclogin.net February 22, 2021 at 05:09AM
Show HN: Building a Binary Counter https://ift.tt/3um45llTHE RIGHT PEOPLE https://ift.tt/3uvujCiTHE RIGHT PEOPLE https://ift.tt/3ukn3cf https://ift.tt/3ukn3cfTHE RIGHT PEOPLE https://ift.tt/3briWmbTHE RIGHT PEOPLE https://ift.tt/3pLdgIG https://ift.tt/3pLdgIGTHE RIGHT PEOPLE https://ift.tt/3qJLOfATHE RIGHT PEOPLE https://ift.tt/3pIiR2D https://ift.tt/3pIiR2DTHE RIGHT PEOPLE https://ift.tt/3aIm1zaTHE RIGHT PEOPLE https://ift.tt/2OQn47p https://ift.tt/2OQn47p
Show HN: Building a Binary Counter https://ift.tt/3dB6FhI February 21, 2021 at 05:33PM
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Show HN: Turn scripts into fine-tuned voices via Wiki markups https://ift.tt/2NGfFnG February 21, 2021 at 03:59PM
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(https://ift.tt/2MhqlvMShow HN: DeKarmaHN, a Chrome extension to hide karma and more https://ift.tt/3btlNuBTHE RIGHT PEOPLE https://ift.tt/3pAvH2MTHE RIGHT PEOPLE https://ift.tt/3kc6oTA https://ift.tt/3kc6oTATHE RIGHT PEOPLE https://ift.tt/3kiJGcATHE RIGHT PEOPLE https://ift.tt/3pJIArj https://ift.tt/3pJIArj
Show HN: DeKarmaHN, a Chrome extension to hide karma and more https://ift.tt/3aDQ9vg February 21, 2021 at 07:23PM
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Show HN: ProSudoku – Play Sudoku with Apple Pencil on iPad https://ift.tt/3pHkAVy February 21, 2021 at 05:58PM
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(https://ift.tt/3brWXLFShow HN: Building a Binary Counter https://ift.tt/3um45llTHE RIGHT PEOPLE https://ift.tt/3uvujCiTHE RIGHT PEOPLE https://ift.tt/3ukn3cf https://ift.tt/3ukn3cfTHE RIGHT PEOPLE https://ift.tt/3briWmbTHE RIGHT PEOPLE https://ift.tt/3pLdgIG https://ift.tt/3pLdgIGTHE RIGHT PEOPLE https://ift.tt/3qJLOfATHE RIGHT PEOPLE https://ift.tt/3pIiR2D https://ift.tt/3pIiR2D
Show HN: Building a Binary Counter https://ift.tt/3dB6FhI February 21, 2021 at 05:33PM
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(https://ift.tt/3uoy2kMShow HN: Turn scripts into fine-tuned voices via Wiki markups https://ift.tt/3dAi4OQTHE RIGHT PEOPLE https://ift.tt/3aEactuTHE RIGHT PEOPLE https://ift.tt/3pGZkzl https://ift.tt/3pGZkzlTHE RIGHT PEOPLE https://ift.tt/2Mb6jmrTHE RIGHT PEOPLE https://ift.tt/3qUEqyp https://ift.tt/3qUEqypTHE RIGHT PEOPLE https://ift.tt/3bx9r4ZTHE RIGHT PEOPLE https://ift.tt/3qCInaF https://ift.tt/3qCInaF
Show HN: Turn scripts into fine-tuned voices via Wiki markups https://ift.tt/2NGfFnG February 21, 2021 at 03:59PM
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(https://ift.tt/2ZFLOkVShow HN: DeKarmaHN, a Chrome extension to hide karma and more https://ift.tt/3btlNuBTHE RIGHT PEOPLE https://ift.tt/3pAvH2MTHE RIGHT PEOPLE https://ift.tt/3kc6oTA https://ift.tt/3kc6oTA
Show HN: DeKarmaHN, a Chrome extension to hide karma and more https://ift.tt/3aDQ9vg February 21, 2021 at 07:23PM
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(https://ift.tt/3aGDIijShow HN: ProSudoku – Play Sudoku with Apple Pencil on iPad https://ift.tt/2Nw425XTHE RIGHT PEOPLE https://ift.tt/3kbKdwJTHE RIGHT PEOPLE https://ift.tt/2Maotom https://ift.tt/2Maotom
Show HN: ProSudoku – Play Sudoku with Apple Pencil on iPad https://ift.tt/3pHkAVy February 21, 2021 at 05:58PM
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(https://ift.tt/37DObJoShow HN: Building a Binary Counter https://ift.tt/3um45llTHE RIGHT PEOPLE https://ift.tt/3uvujCiTHE RIGHT PEOPLE https://ift.tt/3ukn3cf https://ift.tt/3ukn3cfTHE RIGHT PEOPLE https://ift.tt/3briWmbTHE RIGHT PEOPLE https://ift.tt/3pLdgIG https://ift.tt/3pLdgIG
Show HN: Building a Binary Counter https://ift.tt/3dB6FhI February 21, 2021 at 05:33PM
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(https://ift.tt/3blgg9mShow HN: Turn scripts into fine-tuned voices via Wiki markups https://ift.tt/3dAi4OQTHE RIGHT PEOPLE https://ift.tt/3aEactuTHE RIGHT PEOPLE https://ift.tt/3pGZkzl https://ift.tt/3pGZkzlTHE RIGHT PEOPLE https://ift.tt/2Mb6jmrTHE RIGHT PEOPLE https://ift.tt/3qUEqyp https://ift.tt/3qUEqyp
Show HN: Turn scripts into fine-tuned voices via Wiki markups https://ift.tt/2NGfFnG February 21, 2021 at 03:59PM
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(https://ift.tt/3aGQ0qVShow HN: DeKarmaHN, a Chrome extension to hide karma and more https://ift.tt/3btlNuB
Show HN: DeKarmaHN, a Chrome extension to hide karma and more https://ift.tt/3aDQ9vg February 21, 2021 at 07:23PM
Show HN: ProSudoku – Play Sudoku with Apple Pencil on iPad https://ift.tt/2Nw425X
Show HN: ProSudoku – Play Sudoku with Apple Pencil on iPad https://ift.tt/3pHkAVy February 21, 2021 at 05:58PM
Show HN: Building a Binary Counter https://ift.tt/3um45llTHE RIGHT PEOPLE https://ift.tt/3uvujCiTHE RIGHT PEOPLE https://ift.tt/3ukn3cf https://ift.tt/3ukn3cf
Show HN: Building a Binary Counter https://ift.tt/3dB6FhI February 21, 2021 at 05:33PM
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(https://ift.tt/3ulhrP6Show HN: Turn scripts into fine-tuned voices via Wiki markups https://ift.tt/3dAi4OQTHE RIGHT PEOPLE https://ift.tt/3aEactuTHE RIGHT PEOPLE https://ift.tt/3pGZkzl https://ift.tt/3pGZkzl
Show HN: Turn scripts into fine-tuned voices via Wiki markups https://ift.tt/2NGfFnG February 21, 2021 at 03:59PM
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(https://ift.tt/3sgWMJWShow HN: Building a Binary Counter https://ift.tt/3um45ll
Show HN: Building a Binary Counter https://ift.tt/3dB6FhI February 21, 2021 at 05:33PM
Show HN: Turn scripts into fine-tuned voices via Wiki markups https://ift.tt/3dAi4OQ
Show HN: Turn scripts into fine-tuned voices via Wiki markups https://ift.tt/2NGfFnG February 21, 2021 at 03:59PM
Sunday, February 21, 2021
Show HN: Go-FrodoKEM a Practical quantum-secure key encapsulation in Go https://ift.tt/3kl6W9XTHE RIGHT PEOPLE https://ift.tt/3uiZX5QTHE RIGHT PEOPLE https://ift.tt/2MaOd41 https://ift.tt/2MaOd41
Show HN: Go-FrodoKEM a Practical quantum-secure key encapsulation in Go https://ift.tt/3duueZr February 21, 2021 at 03:09AM
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(https://ift.tt/3qKc3m8Show HN: Write plain SQL, generate Typescript types of result row and parameters https://ift.tt/3dxNzZHTHE RIGHT PEOPLE https://ift.tt/2OY8A5ETHE RIGHT PEOPLE https://ift.tt/2ZCTzYU https://ift.tt/2ZCTzYU
Show HN: Write plain SQL, generate Typescript types of result row and parameters https://ift.tt/2ZCKAa4 February 20, 2021 at 10:16PM
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(https://ift.tt/2Mh63TaShow HN: Python Wheel Obfuscator https://ift.tt/3sigR2rTHE RIGHT PEOPLE https://ift.tt/2ZzcHXVTHE RIGHT PEOPLE https://ift.tt/3buzf1x https://ift.tt/3buzf1x
Show HN: Python Wheel Obfuscator https://ift.tt/2NogzZ6 February 20, 2021 at 11:26PM
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(https://ift.tt/3dzg4q0Show HN: CompreFace is a free and open-source face recognition software https://ift.tt/37zTwS0
Show HN: CompreFace is a free and open-source face recognition software https://ift.tt/37zw4nT February 21, 2021 at 07:18AM
Show HN: Force Directed Graph of Singapore MRT and LRT Networks https://ift.tt/3sbyoJKTHE RIGHT PEOPLE https://ift.tt/3qGyXeiTHE RIGHT PEOPLE https://ift.tt/3aESnun https://ift.tt/3aESnun
Show HN: Force Directed Graph of Singapore MRT and LRT Networks https://ift.tt/3kaKAHK February 21, 2021 at 12:42AM
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(https://ift.tt/3ueYCwZShow HN: Go-FrodoKEM a Practical quantum-secure key encapsulation in Go https://ift.tt/3kl6W9X
Show HN: Go-FrodoKEM a Practical quantum-secure key encapsulation in Go https://ift.tt/3duueZr February 21, 2021 at 03:09AM
Show HN: Write plain SQL, generate Typescript types of result row and parameters https://ift.tt/3dxNzZH
Show HN: Write plain SQL, generate Typescript types of result row and parameters https://ift.tt/2ZCKAa4 February 20, 2021 at 10:16PM
Show HN: Python Wheel Obfuscator https://ift.tt/3sigR2r
Show HN: Python Wheel Obfuscator https://ift.tt/2NogzZ6 February 20, 2021 at 11:26PM
Show HN: Force Directed Graph of Singapore MRT and LRT Networks https://ift.tt/3sbyoJK
Show HN: Force Directed Graph of Singapore MRT and LRT Networks https://ift.tt/3kaKAHK February 21, 2021 at 12:42AM
Show HN: Tape Machine https://ift.tt/3pCB5CATHE RIGHT PEOPLE https://ift.tt/3qLNPs0THE RIGHT PEOPLE https://ift.tt/3k68550 https://ift.tt/3k68550THE RIGHT PEOPLE https://ift.tt/2ZxxSJMTHE RIGHT PEOPLE https://ift.tt/2NuigEp https://ift.tt/2NuigEp
Show HN: Tape Machine https://www.youtube.com/watch?v=XlQkZrrQx3U&feature=youtu.be February 20, 2021 at 07:08PM
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(https://ift.tt/3qEvGMEShow HN: Jambook.io – A “don’t break the chain” dashboard for GitHub writing https://ift.tt/37wUPRITHE RIGHT PEOPLE https://ift.tt/3boRCEZTHE RIGHT PEOPLE https://ift.tt/3aEhD48 https://ift.tt/3aEhD48THE RIGHT PEOPLE https://ift.tt/3aFCQdTTHE RIGHT PEOPLE https://ift.tt/3k9x4o7 https://ift.tt/3k9x4o7
Show HN: Jambook.io – A “don’t break the chain” dashboard for GitHub writing https://www.jambook.io/ February 20, 2021 at 03:40PM
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Show HN: Peppa Peg – An Ultra Lightweight Peg Parser in ANSI C After reading the [PEG Parsers series] written by Guido van Rossum, I started thinking writing a PEG Parser in ANSI C. Here are the reasons: – It’s FUN. I’ve made several parser libraries, such as JSON, Mustache, Markdown, and I think I can take the challenge now. – I haven’t had any opportunity to work on an Open Source project written in ANSI C. – Having a PEG parser in ANSI C can benefit whoever is developing a parser, as adding C bindings for other programming languages are not too difficult. And after SIX months’ development, my project is now kinda feature complete. It’s named Peppa PEG and you can find it here: https://ift.tt/3aBmrqW I have learned quite a lot during the journey of creating it, such as gdb, valgrind, cmake, etc. And I wouldn’t make it to the end without learning from some awesome projects, such as pest.rs, cJSON, etc. Appreciate any feedbacks! Thank you! [PEG Parsers series]: https://ift.tt/2M0QQTs February 20, 2021 at 06:10PM
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(https://ift.tt/2Npm7CNShow HN: Tape Machine https://ift.tt/3pCB5CATHE RIGHT PEOPLE https://ift.tt/3qLNPs0THE RIGHT PEOPLE https://ift.tt/3k68550 https://ift.tt/3k68550
Show HN: Tape Machine https://www.youtube.com/watch?v=XlQkZrrQx3U&feature=youtu.be February 20, 2021 at 07:08PM
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Show HN: Jambook.io – A “don’t break the chain” dashboard for GitHub writing https://www.jambook.io/ February 20, 2021 at 03:40PM
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(https://ift.tt/3dBQsZtShow HN: Peppa Peg – An Ultra Lightweight Peg Parser in ANSI C https://ift.tt/2ZBEsPqTHE RIGHT PEOPLE https://ift.tt/3ukrmV2THE RIGHT PEOPLE https://ift.tt/3sgqS0q https://ift.tt/3sgqS0q
Show HN: Peppa Peg – An Ultra Lightweight Peg Parser in ANSI C After reading the [PEG Parsers series] written by Guido van Rossum, I started thinking writing a PEG Parser in ANSI C. Here are the reasons: – It’s FUN. I’ve made several parser libraries, such as JSON, Mustache, Markdown, and I think I can take the challenge now. – I haven’t had any opportunity to work on an Open Source project written in ANSI C. – Having a PEG parser in ANSI C can benefit whoever is developing a parser, as adding C bindings for other programming languages are not too difficult. And after SIX months’ development, my project is now kinda feature complete. It’s named Peppa PEG and you can find it here: https://ift.tt/3aBmrqW I have learned quite a lot during the journey of creating it, such as gdb, valgrind, cmake, etc. And I wouldn’t make it to the end without learning from some awesome projects, such as pest.rs, cJSON, etc. Appreciate any feedbacks! Thank you! [PEG Parsers series]: https://ift.tt/2M0QQTs February 20, 2021 at 06:10PM
via Blogger https://ift.tt/2M9fXWK
(https://ift.tt/3pEphj9Show HN: Tape Machine https://ift.tt/3pCB5CA
Show HN: Tape Machine https://www.youtube.com/watch?v=XlQkZrrQx3U&feature=youtu.be February 20, 2021 at 07:08PM
Show HN: Jambook.io – A “don't break the chain” dashboard for GitHub writing https://ift.tt/37wUPRI
Show HN: Jambook.io – A “don't break the chain” dashboard for GitHub writing https://www.jambook.io/ February 20, 2021 at 03:40PM
Show HN: Peppa Peg – An Ultra Lightweight Peg Parser in ANSI C https://ift.tt/2ZBEsPq
Show HN: Peppa Peg – An Ultra Lightweight Peg Parser in ANSI C After reading the [PEG Parsers series] written by Guido van Rossum, I started thinking writing a PEG Parser in ANSI C. Here are the reasons: - It's FUN. I've made several parser libraries, such as JSON, Mustache, Markdown, and I think I can take the challenge now. - I haven't had any opportunity to work on an Open Source project written in ANSI C. - Having a PEG parser in ANSI C can benefit whoever is developing a parser, as adding C bindings for other programming languages are not too difficult. And after SIX months' development, my project is now kinda feature complete. It's named Peppa PEG and you can find it here: https://ift.tt/3aBmrqW I have learned quite a lot during the journey of creating it, such as gdb, valgrind, cmake, etc. And I wouldn't make it to the end without learning from some awesome projects, such as pest.rs, cJSON, etc. Appreciate any feedbacks! Thank you! [PEG Parsers series]: https://ift.tt/2M0QQTs February 20, 2021 at 06:10PM
Saturday, February 20, 2021
Show HN: Validatum – build fluent validation functions in .NET https://ift.tt/3udD2stTHE RIGHT PEOPLE https://ift.tt/3k9a8W2THE RIGHT PEOPLE https://ift.tt/3aB6LE0 https://ift.tt/3aB6LE0THE RIGHT PEOPLE https://ift.tt/37vgnhNTHE RIGHT PEOPLE https://ift.tt/3azAYDu https://ift.tt/3azAYDu
Show HN: Validatum – build fluent validation functions in .NET https://ift.tt/3s7cUOf February 19, 2021 at 03:43PM
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(https://ift.tt/37yVyBXShow HN: Share your workstation setup and earn with Amazon Affiliate links https://ift.tt/3scmoYA
Show HN: Share your workstation setup and earn with Amazon Affiliate links https://ift.tt/3qPcn2Y February 19, 2021 at 06:44PM
Show HN: Split Keyboards Gallery https://ift.tt/3se815MTHE RIGHT PEOPLE https://ift.tt/3brlZdQTHE RIGHT PEOPLE https://ift.tt/3bg4fSA https://ift.tt/3bg4fSATHE RIGHT PEOPLE https://ift.tt/2Nn8ofMTHE RIGHT PEOPLE https://ift.tt/3qPjisY https://ift.tt/3qPjisY
Show HN: Split Keyboards Gallery https://ift.tt/3bjXGyn February 18, 2021 at 05:01AM
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Show HN: Validatum – build fluent validation functions in .NET https://ift.tt/3s7cUOf February 19, 2021 at 03:43PM
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Show HN: ClubCircle – gradient borders and status badges for Clubhouse avatars https://clubcircle.app February 19, 2021 at 01:23PM
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Show HN: Augmented Reality Route Setting for Climbing https://www.youtube.com/watch?v=_z9797LFm4c February 19, 2021 at 10:35AM
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Show HN: Crypto Mining Pools Aggregator https://ift.tt/3azwIUD February 19, 2021 at 06:03AM
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Show HN: Split Keyboards Gallery https://ift.tt/3bjXGyn February 18, 2021 at 05:01AM
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Show HN: Validatum – build fluent validation functions in .NET https://ift.tt/3s7cUOf February 19, 2021 at 03:43PM
Show HN: ClubCircle – gradient borders and status badges for Clubhouse avatars https://ift.tt/3ayVZOsTHE RIGHT PEOPLE https://ift.tt/3udyQJjTHE RIGHT PEOPLE https://ift.tt/2ZxULge https://ift.tt/2ZxULge
Show HN: ClubCircle – gradient borders and status badges for Clubhouse avatars https://clubcircle.app February 19, 2021 at 01:23PM
via Blogger https://ift.tt/3bomYLP
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Show HN: Augmented Reality Route Setting for Climbing https://www.youtube.com/watch?v=_z9797LFm4c February 19, 2021 at 10:35AM
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Show HN: Crypto Mining Pools Aggregator https://ift.tt/3azwIUD February 19, 2021 at 06:03AM
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(https://ift.tt/3k7s6I9Friday, February 19, 2021
Show HN: Split Keyboards Gallery https://ift.tt/3se815M
Show HN: Split Keyboards Gallery https://ift.tt/3bjXGyn February 18, 2021 at 05:01AM
Launch HN: MindsDB (YC W20) – Machine Learning Inside Your Database https://ift.tt/2ZuqrTNTHE RIGHT PEOPLE https://ift.tt/37uGuVMTHE RIGHT PEOPLE https://ift.tt/3dsTaQS https://ift.tt/3dsTaQSTHE RIGHT PEOPLE https://ift.tt/3azvR68THE RIGHT PEOPLE https://ift.tt/3pzCb1W https://ift.tt/3pzCb1W
Launch HN: MindsDB (YC W20) – Machine Learning Inside Your Database Hi HN, Adam and Jorge here, and today we’re very excited to share MindsDB with you ( https://ift.tt/2UJWtY6 ). MindsDB AutoML Server is an open-source platform designed to accelerate machine learning workflows for people with data inside databases by introducing virtual AI tables. We allow you to create and consume machine learning models as regular database tables. Jorge and I have been friends for many years, having first met at college. We have previously founded and failed at another startup, but we stuck together as a team to start MindsDB. Initially a passion project, MindsDB began as an idea to help those who could not afford to hire a team of data scientists, which at the time was (and still is) very expensive. It has since grown into a thriving open-source community with contributors and users all over the globe. With the plethora of data available in databases today, predictive modeling can often be a pain, especially if you need to write complex applications for ingesting data, training encoders and embedders, writing sampling algorithms, training models, optimizing, scheduling, versioning, moving models into production environments, maintaining them and then having to explain the predictions and the degree of confidence… we knew there had to be a better way! We aim to steer you away from constantly reinventing the wheel by abstracting most of the unnecessary complexities around building, training, and deploying machine learning models. MindsDB provides you with two techniques for this: build and train models as simply as you would write an SQL query, and seamlessly “publish” and manage machine learning models as virtual tables inside your databases (we support Clickhouse, MariaDB, MySQL, PostgreSQL, and MSSQL. MongoDB is coming soon.) We also support getting data from other sources, such as Snowflake, s3, SQLite, and any excel, JSON, or CSV file. When we talk to our growing community, we find that they are using MindsDB for anything ranging from reducing financial risk in the payments sector to predicting in-app usage statistics – one user is even trying to predict the price of Bitcoin using sentiment analysis (we wish them luck). No matter what the use-case, what we hear most often is that the two most painful parts of the whole process are model generation (R&D) and/or moving the model into production. For those who already have models (i.e. who have already done the R&D part), we are launching the ability to bring your own models from frameworks like Pytorch, Tensorflow, scikit-learn, Keras, XGBoost, CatBoost, LightGBM, etc. directly into your database. If you’d like to try this experimental feature, you can sign-up here: ( https://ift.tt/3uhw05U ) We currently have a handful of customers who pay us for support. However, we will soon be launching a cloud version of MindsDB for those who do not want to worry about DevOps, scalability, and managing GPU clusters. Nevertheless, MindsDB will always remain free and open-source, because democratizing machine learning is at the core of every decision we make. We’re making good progress thanks to our open-source community and are also grateful to have the backing of the founders of MySQL & MariaDB. We would love your feedback and invite you to try it out. We’d also love to hear about your experience, so please share your feedback, thoughts, comments, and ideas below. https://ift.tt/3k6zsfm or https://mindsdb.com/ Thanks in advance, Adam & Jorge February 19, 2021 at 08:55AM
via Blogger https://ift.tt/3pCzjkE
via Blogger https://ift.tt/3dHdFK3
(https://ift.tt/3pB6Mw6Launch HN: HiGeorge (YC W21) – Real-time data visualizations for public datasets https://ift.tt/2NGzfTMTHE RIGHT PEOPLE https://ift.tt/2ZKvRu5THE RIGHT PEOPLE https://ift.tt/3qGzeOk https://ift.tt/3qGzeOkTHE RIGHT PEOPLE https://ift.tt/3doGZ7QTHE RIGHT PEOPLE https://ift.tt/2ZudTM2 https://ift.tt/2ZudTM2
Launch HN: HiGeorge (YC W21) – Real-time data visualizations for public datasets Hi HN! Anuj here. My co-founder Amir (Aazo11) and I are building HiGeorge ( https://hi-george.com/ ). We make localized drag-and-drop data visualizations so that all publishers, even the small ones, can better leverage data in their storytelling. Think Tableau with all the necessary data attached. At the onset of the pandemic Amir and I were looking for local data on the spread of the virus. We visited the sites of large national newsrooms like the NYTimes and were impressed by the quality of data visualizations and maps, but they lacked the geographic granularity for our own neighborhood. We then turned to our local newsrooms but found they presented data in tables and lists that made it difficult to comprehend the virus’ spread and trends. We wondered why. After talking to local journalists and publishers, we found that newsrooms simply do not have the resources to make sense of large datasets. Public datasets are hard to clean, poorly structured, and constantly updated. One publisher explained to us that she would refresh her state health department’s website 5 times a day waiting for updated COVID data, then manually download a CSV and clean it in Excel. This process could take hours, and it needed to happen every day. This is where HiGeorge comes in. We clean and aggregate public datasets and turn them into auto-updating data visualizations that anyone can instantly use with a simple copy/paste. Our data visualizations can be drag-and-dropped into articles, allowing news publishers to offer compelling data content to their communities. Check out a few versions of what we’re doing with customers — COVID-19 data reporting at North Carolina Health News [1], COVID-19 vaccine site mapping at SFGATE [2], real-time crime reporting in Dallas, TX [3], and police use of force at Mission Local [4]. Today, HiGeorge works with dozens of newsrooms across the country. Our visualizations have driven a 2x increase in pageviews and a 75% increase in session duration for our partner publishers. We charge a monthly subscription for access to our data visualization library – a fraction of the cost of an in-house data engineer. In the long run, we are building HiGeorge so that it becomes the single place to collaborate on and publish data content. We’d love to hear from the HN community and we’ll be hanging out in the comments if you have any questions or feedback. [1] https://ift.tt/3k10ZPa… [2] https://ift.tt/3k8D6oL… [3] https://ift.tt/3aBfXbs… [4] https://ift.tt/2M5IVGZ February 19, 2021 at 07:57AM
via Blogger https://ift.tt/37uLnOF
via Blogger https://ift.tt/2OQgwpn
(https://ift.tt/3qFW3SfShow HN: ClubCircle – gradient borders and status badges for Clubhouse avatars https://ift.tt/3ayVZOs
Show HN: ClubCircle – gradient borders and status badges for Clubhouse avatars https://clubcircle.app February 19, 2021 at 01:23PM
Show HN: Augmented Reality Route Setting for Climbing https://ift.tt/3bqGtU4
Show HN: Augmented Reality Route Setting for Climbing https://www.youtube.com/watch?v=_z9797LFm4c February 19, 2021 at 10:35AM
Show HN: Crypto Mining Pools Aggregator https://ift.tt/3uc77J0
Show HN: Crypto Mining Pools Aggregator https://ift.tt/3azwIUD February 19, 2021 at 06:03AM
Launch HN: MindsDB (YC W20) – Machine Learning Inside Your Database https://ift.tt/2ZuqrTNTHE RIGHT PEOPLE https://ift.tt/37uGuVMTHE RIGHT PEOPLE https://ift.tt/3dsTaQS https://ift.tt/3dsTaQS
Launch HN: MindsDB (YC W20) – Machine Learning Inside Your Database Hi HN, Adam and Jorge here, and today we’re very excited to share MindsDB with you ( https://ift.tt/2UJWtY6 ). MindsDB AutoML Server is an open-source platform designed to accelerate machine learning workflows for people with data inside databases by introducing virtual AI tables. We allow you to create and consume machine learning models as regular database tables. Jorge and I have been friends for many years, having first met at college. We have previously founded and failed at another startup, but we stuck together as a team to start MindsDB. Initially a passion project, MindsDB began as an idea to help those who could not afford to hire a team of data scientists, which at the time was (and still is) very expensive. It has since grown into a thriving open-source community with contributors and users all over the globe. With the plethora of data available in databases today, predictive modeling can often be a pain, especially if you need to write complex applications for ingesting data, training encoders and embedders, writing sampling algorithms, training models, optimizing, scheduling, versioning, moving models into production environments, maintaining them and then having to explain the predictions and the degree of confidence… we knew there had to be a better way! We aim to steer you away from constantly reinventing the wheel by abstracting most of the unnecessary complexities around building, training, and deploying machine learning models. MindsDB provides you with two techniques for this: build and train models as simply as you would write an SQL query, and seamlessly “publish” and manage machine learning models as virtual tables inside your databases (we support Clickhouse, MariaDB, MySQL, PostgreSQL, and MSSQL. MongoDB is coming soon.) We also support getting data from other sources, such as Snowflake, s3, SQLite, and any excel, JSON, or CSV file. When we talk to our growing community, we find that they are using MindsDB for anything ranging from reducing financial risk in the payments sector to predicting in-app usage statistics – one user is even trying to predict the price of Bitcoin using sentiment analysis (we wish them luck). No matter what the use-case, what we hear most often is that the two most painful parts of the whole process are model generation (R&D) and/or moving the model into production. For those who already have models (i.e. who have already done the R&D part), we are launching the ability to bring your own models from frameworks like Pytorch, Tensorflow, scikit-learn, Keras, XGBoost, CatBoost, LightGBM, etc. directly into your database. If you’d like to try this experimental feature, you can sign-up here: ( https://ift.tt/3uhw05U ) We currently have a handful of customers who pay us for support. However, we will soon be launching a cloud version of MindsDB for those who do not want to worry about DevOps, scalability, and managing GPU clusters. Nevertheless, MindsDB will always remain free and open-source, because democratizing machine learning is at the core of every decision we make. We’re making good progress thanks to our open-source community and are also grateful to have the backing of the founders of MySQL & MariaDB. We would love your feedback and invite you to try it out. We’d also love to hear about your experience, so please share your feedback, thoughts, comments, and ideas below. https://ift.tt/3k6zsfm or https://mindsdb.com/ Thanks in advance, Adam & Jorge February 19, 2021 at 08:55AM
via Blogger https://ift.tt/3pCzjkE
(https://ift.tt/3dt30CoLaunch HN: HiGeorge (YC W21) – Real-time data visualizations for public datasets https://ift.tt/2NGzfTMTHE RIGHT PEOPLE https://ift.tt/2ZKvRu5THE RIGHT PEOPLE https://ift.tt/3qGzeOk https://ift.tt/3qGzeOk
Launch HN: HiGeorge (YC W21) – Real-time data visualizations for public datasets Hi HN! Anuj here. My co-founder Amir (Aazo11) and I are building HiGeorge ( https://hi-george.com/ ). We make localized drag-and-drop data visualizations so that all publishers, even the small ones, can better leverage data in their storytelling. Think Tableau with all the necessary data attached. At the onset of the pandemic Amir and I were looking for local data on the spread of the virus. We visited the sites of large national newsrooms like the NYTimes and were impressed by the quality of data visualizations and maps, but they lacked the geographic granularity for our own neighborhood. We then turned to our local newsrooms but found they presented data in tables and lists that made it difficult to comprehend the virus’ spread and trends. We wondered why. After talking to local journalists and publishers, we found that newsrooms simply do not have the resources to make sense of large datasets. Public datasets are hard to clean, poorly structured, and constantly updated. One publisher explained to us that she would refresh her state health department’s website 5 times a day waiting for updated COVID data, then manually download a CSV and clean it in Excel. This process could take hours, and it needed to happen every day. This is where HiGeorge comes in. We clean and aggregate public datasets and turn them into auto-updating data visualizations that anyone can instantly use with a simple copy/paste. Our data visualizations can be drag-and-dropped into articles, allowing news publishers to offer compelling data content to their communities. Check out a few versions of what we’re doing with customers — COVID-19 data reporting at North Carolina Health News [1], COVID-19 vaccine site mapping at SFGATE [2], real-time crime reporting in Dallas, TX [3], and police use of force at Mission Local [4]. Today, HiGeorge works with dozens of newsrooms across the country. Our visualizations have driven a 2x increase in pageviews and a 75% increase in session duration for our partner publishers. We charge a monthly subscription for access to our data visualization library – a fraction of the cost of an in-house data engineer. In the long run, we are building HiGeorge so that it becomes the single place to collaborate on and publish data content. We’d love to hear from the HN community and we’ll be hanging out in the comments if you have any questions or feedback. [1] https://ift.tt/3k10ZPa… [2] https://ift.tt/3k8D6oL… [3] https://ift.tt/3aBfXbs… [4] https://ift.tt/2M5IVGZ February 19, 2021 at 07:57AM
via Blogger https://ift.tt/37uLnOF
(https://ift.tt/3udwjinLaunch HN: MindsDB (YC W20) – Machine Learning Inside Your Database https://ift.tt/2ZuqrTN
Launch HN: MindsDB (YC W20) – Machine Learning Inside Your Database Hi HN, Adam and Jorge here, and today we’re very excited to share MindsDB with you ( https://ift.tt/2UJWtY6 ). MindsDB AutoML Server is an open-source platform designed to accelerate machine learning workflows for people with data inside databases by introducing virtual AI tables. We allow you to create and consume machine learning models as regular database tables. Jorge and I have been friends for many years, having first met at college. We have previously founded and failed at another startup, but we stuck together as a team to start MindsDB. Initially a passion project, MindsDB began as an idea to help those who could not afford to hire a team of data scientists, which at the time was (and still is) very expensive. It has since grown into a thriving open-source community with contributors and users all over the globe. With the plethora of data available in databases today, predictive modeling can often be a pain, especially if you need to write complex applications for ingesting data, training encoders and embedders, writing sampling algorithms, training models, optimizing, scheduling, versioning, moving models into production environments, maintaining them and then having to explain the predictions and the degree of confidence… we knew there had to be a better way! We aim to steer you away from constantly reinventing the wheel by abstracting most of the unnecessary complexities around building, training, and deploying machine learning models. MindsDB provides you with two techniques for this: build and train models as simply as you would write an SQL query, and seamlessly “publish” and manage machine learning models as virtual tables inside your databases (we support Clickhouse, MariaDB, MySQL, PostgreSQL, and MSSQL. MongoDB is coming soon.) We also support getting data from other sources, such as Snowflake, s3, SQLite, and any excel, JSON, or CSV file. When we talk to our growing community, we find that they are using MindsDB for anything ranging from reducing financial risk in the payments sector to predicting in-app usage statistics - one user is even trying to predict the price of Bitcoin using sentiment analysis (we wish them luck). No matter what the use-case, what we hear most often is that the two most painful parts of the whole process are model generation (R&D) and/or moving the model into production. For those who already have models (i.e. who have already done the R&D part), we are launching the ability to bring your own models from frameworks like Pytorch, Tensorflow, scikit-learn, Keras, XGBoost, CatBoost, LightGBM, etc. directly into your database. If you’d like to try this experimental feature, you can sign-up here: ( https://ift.tt/3uhw05U ) We currently have a handful of customers who pay us for support. However, we will soon be launching a cloud version of MindsDB for those who do not want to worry about DevOps, scalability, and managing GPU clusters. Nevertheless, MindsDB will always remain free and open-source, because democratizing machine learning is at the core of every decision we make. We’re making good progress thanks to our open-source community and are also grateful to have the backing of the founders of MySQL & MariaDB. We would love your feedback and invite you to try it out. We’d also love to hear about your experience, so please share your feedback, thoughts, comments, and ideas below. https://ift.tt/3k6zsfm or https://mindsdb.com/ Thanks in advance, Adam & Jorge February 19, 2021 at 08:55AM
Launch HN: HiGeorge (YC W21) – Real-time data visualizations for public datasets https://ift.tt/2NGzfTM
Launch HN: HiGeorge (YC W21) – Real-time data visualizations for public datasets Hi HN! Anuj here. My co-founder Amir (Aazo11) and I are building HiGeorge ( https://hi-george.com/ ). We make localized drag-and-drop data visualizations so that all publishers, even the small ones, can better leverage data in their storytelling. Think Tableau with all the necessary data attached. At the onset of the pandemic Amir and I were looking for local data on the spread of the virus. We visited the sites of large national newsrooms like the NYTimes and were impressed by the quality of data visualizations and maps, but they lacked the geographic granularity for our own neighborhood. We then turned to our local newsrooms but found they presented data in tables and lists that made it difficult to comprehend the virus’ spread and trends. We wondered why. After talking to local journalists and publishers, we found that newsrooms simply do not have the resources to make sense of large datasets. Public datasets are hard to clean, poorly structured, and constantly updated. One publisher explained to us that she would refresh her state health department’s website 5 times a day waiting for updated COVID data, then manually download a CSV and clean it in Excel. This process could take hours, and it needed to happen every day. This is where HiGeorge comes in. We clean and aggregate public datasets and turn them into auto-updating data visualizations that anyone can instantly use with a simple copy/paste. Our data visualizations can be drag-and-dropped into articles, allowing news publishers to offer compelling data content to their communities. Check out a few versions of what we’re doing with customers -- COVID-19 data reporting at North Carolina Health News [1], COVID-19 vaccine site mapping at SFGATE [2], real-time crime reporting in Dallas, TX [3], and police use of force at Mission Local [4]. Today, HiGeorge works with dozens of newsrooms across the country. Our visualizations have driven a 2x increase in pageviews and a 75% increase in session duration for our partner publishers. We charge a monthly subscription for access to our data visualization library – a fraction of the cost of an in-house data engineer. In the long run, we are building HiGeorge so that it becomes the single place to collaborate on and publish data content. We’d love to hear from the HN community and we’ll be hanging out in the comments if you have any questions or feedback. [1] https://ift.tt/3k10ZPa... [2] https://ift.tt/3k8D6oL... [3] https://ift.tt/3aBfXbs... [4] https://ift.tt/2M5IVGZ February 19, 2021 at 07:57AM
Show HN: Archive as you browse, store locally and/or share with others via IPFS https://ift.tt/3qAQ01dTHE RIGHT PEOPLE https://ift.tt/3ucFtvuTHE RIGHT PEOPLE https://ift.tt/3qC0nBX https://ift.tt/3qC0nBXTHE RIGHT PEOPLE https://ift.tt/2ZrJaPITHE RIGHT PEOPLE https://ift.tt/3ueNYGs https://ift.tt/3ueNYGs
Show HN: Archive as you browse, store locally and/or share with others via IPFS https://archiveweb.page February 18, 2021 at 06:04PM
via Blogger https://ift.tt/2ZwPXri
via Blogger https://ift.tt/3dsybOo
(https://ift.tt/37tMZZcShow HN: Archive as you browse, store locally and/or share with others via IPFS https://ift.tt/3qAQ01dTHE RIGHT PEOPLE https://ift.tt/3ucFtvuTHE RIGHT PEOPLE https://ift.tt/3qC0nBX https://ift.tt/3qC0nBX
Show HN: Archive as you browse, store locally and/or share with others via IPFS https://archiveweb.page February 18, 2021 at 06:04PM
via Blogger https://ift.tt/2ZwPXri
(https://ift.tt/37thZsiShow HN: Archive as you browse, store locally and/or share with others via IPFS https://ift.tt/3qAQ01d
Show HN: Archive as you browse, store locally and/or share with others via IPFS https://archiveweb.page February 18, 2021 at 06:04PM
Thursday, February 18, 2021
Show HN: Kalaksi: a social-network built on top of RSS https://ift.tt/3aue6VWTHE RIGHT PEOPLE https://ift.tt/3dpiGGJTHE RIGHT PEOPLE https://ift.tt/3dCZzJF https://ift.tt/3dCZzJFTHE RIGHT PEOPLE https://ift.tt/3bhZyYGTHE RIGHT PEOPLE https://ift.tt/2Na84kz https://ift.tt/2Na84kz
Show HN: Kalaksi: a social-network built on top of RSS https://www.kalaksi.com February 18, 2021 at 07:37AM
via Blogger https://ift.tt/3beUOTK
via Blogger https://ift.tt/2ORo5fC
(https://ift.tt/3s6inVAShow HN: ScreenToVideo – Record your videos flawlessly https://ift.tt/2NbjODq
Show HN: ScreenToVideo – Record your videos flawlessly https://ift.tt/3bNnemf February 18, 2021 at 12:15PM
Launch HN: Ontop (YC W21) – Easily hire and pay remote workers in LATAM https://ift.tt/3s2MTj0THE RIGHT PEOPLE https://ift.tt/3dmX5yDTHE RIGHT PEOPLE https://ift.tt/3jZfkeZ https://ift.tt/3jZfkeZTHE RIGHT PEOPLE https://ift.tt/2Nlk2rxTHE RIGHT PEOPLE https://ift.tt/3dqIJNG https://ift.tt/3dqIJNG
Launch HN: Ontop (YC W21) – Easily hire and pay remote workers in LATAM Hi YC! We are Santiago Aparicio, Julian Torres and Jaime Abella and we are from Colombia. We are building Ontop (www.ontop.ai) to help companies do remote hiring and payouts, all the way from contract creation, to compliance documentation and easy money transfers. COVID-19 has taught us all that remote works. Our bet is that companies in the US and Europe will start hiring more people in LATAM because talent is increasing in quality at a fraction of price compared to what they can get elsewhere. Paying people in LATAM requires local knowledge to get the level of speed and compliance that workers need to get their money on time. We are building a solution so companies hiring in LATAM have to do less paperwork, can easily be compliant and disperse payments to different countries in a single place. In our previous startup Fitpal (multi gym membership in LATAM) we experienced the pain behind signing contracts, collecting documents and sending money to different countries. We had to pay hundreds of gyms in LATAM and were frustrated by the amount of time we spent doing administrative work, when we should have been thinking on how to hack our way to growth. We handle all paperwork, compliance and payments so onboarding new people is really easy. And most importantly, everything done legally, by the book, so that companies are always due diligence proof. Our solution is tailored for LATAM guaranteeing the best speed and compliance in the market. We want to hear your thoughts on our solution. We value feedback and case uses that you might have. Email us at founders@ontop.ai and we will personally give you a demo. February 18, 2021 at 04:58AM
via Blogger https://ift.tt/3dCi8xB
via Blogger https://ift.tt/3pxavuv
(https://ift.tt/3pyjMCkShow HN: Merge multiple PDFs into one using WebAssembly https://ift.tt/3s6ywtUTHE RIGHT PEOPLE https://ift.tt/3drwLDETHE RIGHT PEOPLE https://ift.tt/2ZuVr5W https://ift.tt/2ZuVr5W
Show HN: Merge multiple PDFs into one using WebAssembly http://localpdf.tech/ February 18, 2021 at 08:52AM
via Blogger https://ift.tt/3uajdCu
(https://ift.tt/3pzVgAZShow HN: Create APIs for static datasets without writing a single line of code https://ift.tt/3pxS8W4THE RIGHT PEOPLE https://ift.tt/3k4yqjYTHE RIGHT PEOPLE https://ift.tt/3bjE5OR https://ift.tt/3bjE5OR
Show HN: Create APIs for static datasets without writing a single line of code https://ift.tt/3k7WYsb February 18, 2021 at 08:15AM
via Blogger https://ift.tt/37qQ0t3
(https://ift.tt/3k1dJVWShow HN: Kalaksi: a social-network built on top of RSS https://ift.tt/3aue6VWTHE RIGHT PEOPLE https://ift.tt/3dpiGGJTHE RIGHT PEOPLE https://ift.tt/3dCZzJF https://ift.tt/3dCZzJF
Show HN: Kalaksi: a social-network built on top of RSS https://www.kalaksi.com February 18, 2021 at 07:37AM
via Blogger https://ift.tt/3beUOTK
(https://ift.tt/3qsQVklLaunch HN: Ontop (YC W21) – Easily hire and pay remote workers in LATAM https://ift.tt/3s2MTj0THE RIGHT PEOPLE https://ift.tt/3dmX5yDTHE RIGHT PEOPLE https://ift.tt/3jZfkeZ https://ift.tt/3jZfkeZ
Launch HN: Ontop (YC W21) – Easily hire and pay remote workers in LATAM Hi YC! We are Santiago Aparicio, Julian Torres and Jaime Abella and we are from Colombia. We are building Ontop (www.ontop.ai) to help companies do remote hiring and payouts, all the way from contract creation, to compliance documentation and easy money transfers. COVID-19 has taught us all that remote works. Our bet is that companies in the US and Europe will start hiring more people in LATAM because talent is increasing in quality at a fraction of price compared to what they can get elsewhere. Paying people in LATAM requires local knowledge to get the level of speed and compliance that workers need to get their money on time. We are building a solution so companies hiring in LATAM have to do less paperwork, can easily be compliant and disperse payments to different countries in a single place. In our previous startup Fitpal (multi gym membership in LATAM) we experienced the pain behind signing contracts, collecting documents and sending money to different countries. We had to pay hundreds of gyms in LATAM and were frustrated by the amount of time we spent doing administrative work, when we should have been thinking on how to hack our way to growth. We handle all paperwork, compliance and payments so onboarding new people is really easy. And most importantly, everything done legally, by the book, so that companies are always due diligence proof. Our solution is tailored for LATAM guaranteeing the best speed and compliance in the market. We want to hear your thoughts on our solution. We value feedback and case uses that you might have. Email us at founders@ontop.ai and we will personally give you a demo. February 18, 2021 at 04:58AM
via Blogger https://ift.tt/3dCi8xB
(https://ift.tt/2ZreFt5Show HN: Merge multiple PDFs into one using WebAssembly https://ift.tt/3s6ywtU
Show HN: Merge multiple PDFs into one using WebAssembly http://localpdf.tech/ February 18, 2021 at 08:52AM
Show HN: Create APIs for static datasets without writing a single line of code https://ift.tt/3pxS8W4
Show HN: Create APIs for static datasets without writing a single line of code https://ift.tt/3k7WYsb February 18, 2021 at 08:15AM
Show HN: Kalaksi: a social-network built on top of RSS https://ift.tt/3aue6VW
Show HN: Kalaksi: a social-network built on top of RSS https://www.kalaksi.com February 18, 2021 at 07:37AM
Launch HN: Ontop (YC W21) – Easily hire and pay remote workers in LATAM https://ift.tt/3s2MTj0
Launch HN: Ontop (YC W21) – Easily hire and pay remote workers in LATAM Hi YC! We are Santiago Aparicio, Julian Torres and Jaime Abella and we are from Colombia. We are building Ontop (www.ontop.ai) to help companies do remote hiring and payouts, all the way from contract creation, to compliance documentation and easy money transfers. COVID-19 has taught us all that remote works. Our bet is that companies in the US and Europe will start hiring more people in LATAM because talent is increasing in quality at a fraction of price compared to what they can get elsewhere. Paying people in LATAM requires local knowledge to get the level of speed and compliance that workers need to get their money on time. We are building a solution so companies hiring in LATAM have to do less paperwork, can easily be compliant and disperse payments to different countries in a single place. In our previous startup Fitpal (multi gym membership in LATAM) we experienced the pain behind signing contracts, collecting documents and sending money to different countries. We had to pay hundreds of gyms in LATAM and were frustrated by the amount of time we spent doing administrative work, when we should have been thinking on how to hack our way to growth. We handle all paperwork, compliance and payments so onboarding new people is really easy. And most importantly, everything done legally, by the book, so that companies are always due diligence proof. Our solution is tailored for LATAM guaranteeing the best speed and compliance in the market. We want to hear your thoughts on our solution. We value feedback and case uses that you might have. Email us at founders@ontop.ai and we will personally give you a demo. February 18, 2021 at 04:58AM
Launch HN: Datrics (YC W21) – No-Code Analytics and ML for FinTech https://ift.tt/3beSuvYTHE RIGHT PEOPLE https://ift.tt/3au23b2THE RIGHT PEOPLE https://ift.tt/3dpJ439 https://ift.tt/3dpJ439THE RIGHT PEOPLE https://ift.tt/3ukECciTHE RIGHT PEOPLE https://ift.tt/3s67vqw https://ift.tt/3s67vqw
Launch HN: Datrics (YC W21) – No-Code Analytics and ML for FinTech Hey everyone, we’re Anton (avais), Kirill (Datkiri), and Volodymyr (vsofi), the founders of Datrics ( https://datrics.ai ). We help FinTech companies build and deploy machine learning models without writing code. We provide a visual tool to work with structured data by constructing a diagram of data manipulations from lego-like bricks, and then execute it all on a backend. This lets our users accomplish tasks that usually need a team of software engineers, data scientists, and DevOps. For instance, one of our customers is a consumer lending company that developed a new risk model using just our drag-and-drop interface. I used to lead a large data science consultancy team, being responsible for Financial Services (and Risks specifically). Our teams’ projects included end-to-end risk modeling, demand forecasting, and inventory management optimization, mostly requiring combined efforts from different technical teams and business units to be implemented. It usually took months of work to turn an idea into a complete solution, going through data snapshot gathering to cleansing to experimenting to working with engineering and DevOps teams to turn experiments in Jupyter notebooks into a complete application that worked in production. Moreover, even if the application and logic behind the scenes were really simple (could be just dozens or hundreds of lines of code for a core part), the process to bring this to end-users could take ages. We started thinking about possible solutions when a request from one of the Tier 1 banks appeared, which confirmed that we’re not alone in this vision: their problem was giving their “citizen data scientists” and “citizen developers” power to do data-driven work. In other words, work with the data and generate insights useful for business. That was the first time I’d heard the term “citizen data scientist”. Our users are now these citizen data scientists and developers, whom we’re giving the possibility to manipulate data, build apps, pipelines, and ML models with just nominal IT support. Datrics is designed not only to do ML without coding, but to give analysts and domain experts a drag and drop interface to perform queries, generate reports, and do forecasting in a visual way with nominal IT support. One of our core use cases is doing better credit risk modeling – create application scorecards based on ML or apply rule-based transactional fraud detection. For this use-case, we’ve developed intelligent bricks that allow you to do variables binning and scorecards in a visual way. Other use cases include reports and pivot tables on aggregating sales data from different countries in different formats or doing inventory optimization by forecasting the demand without knowing any programming language. We’re providing 50+ bricks to construct ETL pipelines and build models. There are some limitations – a finite number of pre-built building blocks that can be included in your app, but if there is no block that you need, you can easily build your own ( https://youtu.be/BQNFcZWwUC8 ). Datrics is initially cloud-native, but also can be installed on-prem for those customers who have corresponding security policy or setups. The underlying technology, the pipeline execution engine is rather complex and currently built on top of Dask, which gives Python scalability for big datasets. In the next release, we are going to support Pandas as well as to switch intelligently between small datasets for rapid prototyping and big datasets for pipeline deployments. We’re charging only for private deployments, so our web version is free: https://ift.tt/2Nfu1i1 . Try it to create your analytical applications with a machine learning component! We’ve put together a wiki ( https://wiki.datrics.ai ) to cover the major functionality, We are super-excited to hear your thoughts and feedback! We’re big believers in the power of Machine Learning and self-service analytics and are happy to discuss what you think of no-code approaches for doing ML and analytics generally as well as the availability of them for non-data scientists. Or anything you want to share in this space! February 18, 2021 at 12:12AM
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(https://ift.tt/3dondt3Launch HN: Datrics (YC W21) – No-Code Analytics and ML for FinTech https://ift.tt/3beSuvYTHE RIGHT PEOPLE https://ift.tt/3au23b2THE RIGHT PEOPLE https://ift.tt/3dpJ439 https://ift.tt/3dpJ439
Launch HN: Datrics (YC W21) – No-Code Analytics and ML for FinTech Hey everyone, we’re Anton (avais), Kirill (Datkiri), and Volodymyr (vsofi), the founders of Datrics ( https://datrics.ai ). We help FinTech companies build and deploy machine learning models without writing code. We provide a visual tool to work with structured data by constructing a diagram of data manipulations from lego-like bricks, and then execute it all on a backend. This lets our users accomplish tasks that usually need a team of software engineers, data scientists, and DevOps. For instance, one of our customers is a consumer lending company that developed a new risk model using just our drag-and-drop interface. I used to lead a large data science consultancy team, being responsible for Financial Services (and Risks specifically). Our teams’ projects included end-to-end risk modeling, demand forecasting, and inventory management optimization, mostly requiring combined efforts from different technical teams and business units to be implemented. It usually took months of work to turn an idea into a complete solution, going through data snapshot gathering to cleansing to experimenting to working with engineering and DevOps teams to turn experiments in Jupyter notebooks into a complete application that worked in production. Moreover, even if the application and logic behind the scenes were really simple (could be just dozens or hundreds of lines of code for a core part), the process to bring this to end-users could take ages. We started thinking about possible solutions when a request from one of the Tier 1 banks appeared, which confirmed that we’re not alone in this vision: their problem was giving their “citizen data scientists” and “citizen developers” power to do data-driven work. In other words, work with the data and generate insights useful for business. That was the first time I’d heard the term “citizen data scientist”. Our users are now these citizen data scientists and developers, whom we’re giving the possibility to manipulate data, build apps, pipelines, and ML models with just nominal IT support. Datrics is designed not only to do ML without coding, but to give analysts and domain experts a drag and drop interface to perform queries, generate reports, and do forecasting in a visual way with nominal IT support. One of our core use cases is doing better credit risk modeling – create application scorecards based on ML or apply rule-based transactional fraud detection. For this use-case, we’ve developed intelligent bricks that allow you to do variables binning and scorecards in a visual way. Other use cases include reports and pivot tables on aggregating sales data from different countries in different formats or doing inventory optimization by forecasting the demand without knowing any programming language. We’re providing 50+ bricks to construct ETL pipelines and build models. There are some limitations – a finite number of pre-built building blocks that can be included in your app, but if there is no block that you need, you can easily build your own ( https://youtu.be/BQNFcZWwUC8 ). Datrics is initially cloud-native, but also can be installed on-prem for those customers who have corresponding security policy or setups. The underlying technology, the pipeline execution engine is rather complex and currently built on top of Dask, which gives Python scalability for big datasets. In the next release, we are going to support Pandas as well as to switch intelligently between small datasets for rapid prototyping and big datasets for pipeline deployments. We’re charging only for private deployments, so our web version is free: https://ift.tt/2Nfu1i1 . Try it to create your analytical applications with a machine learning component! We’ve put together a wiki ( https://wiki.datrics.ai ) to cover the major functionality, We are super-excited to hear your thoughts and feedback! We’re big believers in the power of Machine Learning and self-service analytics and are happy to discuss what you think of no-code approaches for doing ML and analytics generally as well as the availability of them for non-data scientists. Or anything you want to share in this space! February 18, 2021 at 12:12AM
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