Show HN: Absurd-SQL – Use sqlite3 on the web with storage in IndexedDB https://ift.tt/3jLZVyR August 12, 2021 at 08:02AM
via Blogger https://ift.tt/3s9rxBG
via Blogger https://ift.tt/3CHZzSp
(https://ift.tt/3g0Bgpkhttps://whatsmusic.de/frankien-interview-creating-the-singer-songwriter-genre-standing-against-racism-and-a-memorable-open-mic-episode/
Show HN: Absurd-SQL – Use sqlite3 on the web with storage in IndexedDB https://ift.tt/3jLZVyR August 12, 2021 at 08:02AM
via Blogger https://ift.tt/3s9rxBG
via Blogger https://ift.tt/3CHZzSp
(https://ift.tt/3g0BgpkShow HN: Rewwind – Save words and how you discovered them https://rewwind.co August 12, 2021 at 06:18AM
via Blogger https://ift.tt/2VObI7T
via Blogger https://ift.tt/3ABqE83
(https://ift.tt/3saUc9DSelling beats can be a challenge for producers just establishing themselves in the music industry. In this episode of No Nonsense Music Marketing, we dive into the best way for music producers to sell beats on AUTO-PILOT.
Subscribe : http://bit.ly/2id0MGY
Website : http://omarimc.com
Merch: https://musiquo.com
———————————————
● Email: https://ift.tt/2knagGw
● Instagram : https://ift.tt/2BI5zLu
● Twitter : https://ift.tt/1uASU2k
● Facebook : https://ift.tt/2kjY5dA
● SoundCloud : https://ift.tt/1gjPNLb
via Blogger https://ift.tt/3safzI9
via Blogger https://ift.tt/3xB3cGc
(https://ift.tt/3xHWr5wShow HN: Absurd-SQL – Use sqlite3 on the web with storage in IndexedDB https://ift.tt/3jLZVyR August 12, 2021 at 08:02AM
via Blogger https://ift.tt/3s9rxBG
(https://ift.tt/3AE5BBKShow HN: Rewwind – Save words and how you discovered them https://rewwind.co August 12, 2021 at 06:18AM
via Blogger https://ift.tt/2VObI7T
(https://ift.tt/3CRXbcbSelling beats can be a challenge for producers just establishing themselves in the music industry. In this episode of No Nonsense Music Marketing, we dive into the best way for music producers to sell beats on AUTO-PILOT. Subscribe : http://bit.ly/2id0MGY Website : http://omarimc.com Merch: https://musiquo.com ——————————————— ● Email: https://ift.tt/2knagGw ● Instagram : https://ift.tt/2BI5zLu ● Twitter : https://ift.tt/1uASU2k ● Facebook : https://ift.tt/2kjY5dA ● SoundCloud : https://ift.tt/1gjPNLb
via Blogger https://ift.tt/3lYnveo
via Blogger https://ift.tt/3s9ns0k
(https://ift.tt/3jJU2SOSelling beats can be a challenge for producers just establishing themselves in the music industry. In this episode of No Nonsense Music Marketing, we dive into the best way for music producers to sell beats on AUTO-PILOT.
Subscribe : http://bit.ly/2id0MGY
Website : http://omarimc.com
Merch: https://musiquo.com
———————————————
● Email: https://ift.tt/2knagGw
● Instagram : https://ift.tt/2BI5zLu
● Twitter : https://ift.tt/1uASU2k
● Facebook : https://ift.tt/2kjY5dA
● SoundCloud : https://ift.tt/1gjPNLb
via Blogger https://ift.tt/3safzI9
(https://ift.tt/2VTESlXSelling beats can be a challenge for producers just establishing themselves in the music industry. In this episode of No Nonsense Music Marketing, we dive into the best way for music producers to sell beats on AUTO-PILOT. Subscribe : http://bit.ly/2id0MGY Website : http://omarimc.com Merch: https://musiquo.com ——————————————— ● Email: https://ift.tt/2knagGw ● Instagram : https://ift.tt/2BI5zLu ● Twitter : https://ift.tt/1uASU2k ● Facebook : https://ift.tt/2kjY5dA ● SoundCloud : https://ift.tt/1gjPNLb
via Blogger https://ift.tt/3lYnveo
(https://ift.tt/3yIxatgSelling beats can be a challenge for producers just establishing themselves in the music industry. In this episode of No Nonsense Music Marketing, we dive into the best way for music producers to sell beats on AUTO-PILOT.
Subscribe : http://bit.ly/2id0MGY
Website : http://omarimc.com
Merch: https://musiquo.com
———————————————
● Email: https://ift.tt/2knagGw
● Instagram : https://ift.tt/2BI5zLu
● Twitter : https://ift.tt/1uASU2k
● Facebook : https://ift.tt/2kjY5dA
● SoundCloud : https://ift.tt/1gjPNLb
Show HN: WhatsForm – Build form & get data from customer’s WhatsApp number https://whatsform.com August 12, 2021 at 12:45AM
via Blogger https://ift.tt/3yGcWjV
via Blogger https://ift.tt/3siglmA
(https://ift.tt/3fVXfh9Show HN: WhatsForm – Build form & get data from customer’s WhatsApp number https://whatsform.com August 12, 2021 at 12:45AM
via Blogger https://ift.tt/3yGcWjV
(https://ift.tt/3sn9lVDShow HN: I’m 15 and made a bedtime calculator with React JavaScript https://ift.tt/2FnsXVb August 12, 2020 at 07:22PM
via Blogger https://ift.tt/2PMmkNM
via Blogger https://ift.tt/2DWumBa
(https://ift.tt/3gTAwAHShow HN: I’m 15 and made a bedtime calculator with React JavaScript https://ift.tt/2FnsXVb August 12, 2020 at 07:22PM
via Blogger https://ift.tt/2PMmkNM
(https://ift.tt/3kCi1D4Show HN: Scraping 2.5 million songs metadata from Jango Radio Jango. It’s a music streaming service. No it’s not Spotify. Yes I know you’ve never heard of Jango. So I spent the past few months scraping metadata for every song on Jango Radio and put it in a database and made it searchable. I built a search tool which includes the kind of features that only a nerd would want like search by ID and search by URL. https://jango-index.ml/ I used Bash and Btrfs for the backend scraper. I used PHP and SQLite for the frontend search. https://ift.tt/2Xhatvo I’m not interested in monetizing what I did. I wouldn’t be interested in a marketing campaign to raise the notoriety of Jango Radio to the point that you would notice it exists either. I’m aware that my project looks like crap to web design obsessed marketing posers who pretend to code. I happen to enjoy coding and I did a coding project. I know coding is an intrinsically valueless endeavor. I did it anyway. August 12, 2020 at 07:10PM
via Blogger https://ift.tt/33W4Abc
via Blogger https://ift.tt/2XXyzvE
(https://ift.tt/2XXjWbxShow HN: Faceoffus.com: easily remove faces from photos before sharing https://faceoffus.com/ August 12, 2020 at 04:21PM
via Blogger https://ift.tt/30RzXlt
via Blogger https://ift.tt/2DYUf3r
(https://ift.tt/3fU1vLcShow HN: Scraping 2.5 million songs metadata from Jango Radio Jango. It’s a music streaming service. No it’s not Spotify. Yes I know you’ve never heard of Jango. So I spent the past few months scraping metadata for every song on Jango Radio and put it in a database and made it searchable. I built a search tool which includes the kind of features that only a nerd would want like search by ID and search by URL. https://jango-index.ml/ I used Bash and Btrfs for the backend scraper. I used PHP and SQLite for the frontend search. https://ift.tt/2Xhatvo I’m not interested in monetizing what I did. I wouldn’t be interested in a marketing campaign to raise the notoriety of Jango Radio to the point that you would notice it exists either. I’m aware that my project looks like crap to web design obsessed marketing posers who pretend to code. I happen to enjoy coding and I did a coding project. I know coding is an intrinsically valueless endeavor. I did it anyway. August 12, 2020 at 07:10PM
via Blogger https://ift.tt/33W4Abc
(https://ift.tt/31MpjLNShow HN: Faceoffus.com: easily remove faces from photos before sharing https://faceoffus.com/ August 12, 2020 at 04:21PM
via Blogger https://ift.tt/30RzXlt
(https://ift.tt/2PPYAbEShow HN: Kinopio.club – visual thinking, brainstorming tool https://kinopio.club August 12, 2020 at 07:55AM
via Blogger https://ift.tt/2DEiSCN
(https://ift.tt/2XXf0UhShow HN: dstack – an open-source tool to build data applications easily Dear HN, I am Riwaj, the cofounder of dstack.ai (https://ift.tt/3amrgmi). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot more open source data science frameworks than we integrated ourselves. For example, as a user, I want to push a matplotlib plot, a Tensorflow model, a plotly chart, a pandas dataframe, and I expect the presentation layer to fully-support it. Supporting all types of artifacts and providing all the tools to work with them solely seems to be a very challenging task. With this, we open-sourced the framework. Now you can build dstack locally, and run it on your servers, or in a cloud of your choice if that’s needed. More details on the project, how to use it, and the source code of the server can be found at the https://ift.tt/3fTKQqW repo. The client packages for Python and R are available at the https://ift.tt/33RCkXb and https://ift.tt/31YPmzN correspondingly. What’s next: User callbacks- so that application shows not just pre-calculated visualizations but also can fetch data from a store and process it in real-time. ML models- so that data scientists can publish a stack which binds together a pre-calculated ML model and user parameters Use cases- Support specific use cases that help data scientists to build data science models into data applications as fast as possible. We would be happy to get your feedback on the open-source framework and also get your opinion on what kind of use cases can be built on top of the framework? Thank you. August 12, 2020 at 06:14AM
via Blogger https://ift.tt/2ClY2Hr
(https://ift.tt/31NzIquShow HN: Orchest – Data Science Pipelines Hello Hacker News! We are Rick & Yannick from Orchest (https://www.orchest.io – https://ift.tt/2XRxxBc). We’re building a visual pipeline tool for data scientists. The tool can be considered to be high-code because you write your own Python/R notebooks and scripts, but we manage the underlying infrastructure to make it ‘just work’. You can think of it as a simplified version of Kubeflow. We created Orchest to free data scientists from the tedious engineering related tasks of their job. Similar to how companies like Netflix, Uber and Booking.com support their data scientists with internal tooling and frameworks to increase productivity. When we worked as data scientists ourselves we noticed how heavily we had to depend on our software engineering skills to perform all kinds of tasks. From configuring cloud instances for distributed training, to optimizing the networking and storage for processing large amounts of data. We believe data scientists should be able to focus on the data and the domain specific challenges. Today we are just at the very beginning of making better tooling available for data science and are launching our GitHub project that will give enhanced pipelining abilities to data scientists using the PyData/R stack, with deep integration of Jupyter Notebooks. Currently Orchest supports: 1) visually and interactively editing a pipeline that is represented using a simple JSON schema; 2) running remote container based kernels through the Jupyter Enterprise Gateway integration; 3) scheduling experiments by launching parameterized pipelines on top of our Celery task scheduler; 4) configuring local and remote data sources to separate code versioning from the data passing through your pipelines. We are here to learn and get feedback from the community. As youngsters we don’t have all the answers and are always looking to improve. August 12, 2020 at 05:24AM
via Blogger https://ift.tt/33YMMMN
(https://ift.tt/31MbPzS