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Showing posts with label August 12. Show all posts
Showing posts with label August 12. Show all posts

Thursday, August 12, 2021

Show HN: Absurd-SQL – Use sqlite3 on the web with storage in IndexedDB https://ift.tt/3jMfgQ5THE RIGHT PEOPLE https://ift.tt/3xG07oqTHE RIGHT PEOPLE https://ift.tt/3fZOpih https://ift.tt/3fZOpihTHE RIGHT PEOPLE https://ift.tt/3iIavraTHE RIGHT PEOPLE https://ift.tt/2UcFwKx https://ift.tt/2UcFwKx

Show HN: Absurd-SQL – Use sqlite3 on the web with storage in IndexedDB https://ift.tt/3jLZVyR August 12, 2021 at 08:02AM

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Show HN: Rewwind – Save words and how you discovered them https://ift.tt/3jQG1CYTHE RIGHT PEOPLE https://ift.tt/3jTcTuPTHE RIGHT PEOPLE https://ift.tt/2Ug5BIO https://ift.tt/2Ug5BIOTHE RIGHT PEOPLE https://ift.tt/3yH6pFjTHE RIGHT PEOPLE https://ift.tt/3sbQlsK https://ift.tt/3sbQlsK

Show HN: Rewwind – Save words and how you discovered them https://rewwind.co August 12, 2021 at 06:18AM

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Best Way For Music Producers To Sell Beats On AUTO-PILOTTHE RIGHT PEOPLE https://ift.tt/3iIjWqV https://ift.tt/3iIjWqVTHE RIGHT PEOPLE https://ift.tt/3m3ibGVTHE RIGHT PEOPLE https://ift.tt/3lXXD2n https://ift.tt/3lXXD2nTHE RIGHT PEOPLE https://ift.tt/3CJ9LtRTHE RIGHT PEOPLE https://ift.tt/3lX0Tel https://ift.tt/3lX0Tel

Selling 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

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Show HN: Absurd-SQL – Use sqlite3 on the web with storage in IndexedDB https://ift.tt/3jMfgQ5THE RIGHT PEOPLE https://ift.tt/3xG07oqTHE RIGHT PEOPLE https://ift.tt/3fZOpih https://ift.tt/3fZOpih

Show HN: Absurd-SQL – Use sqlite3 on the web with storage in IndexedDB https://ift.tt/3jLZVyR August 12, 2021 at 08:02AM

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Show HN: Rewwind – Save words and how you discovered them https://ift.tt/3jQG1CYTHE RIGHT PEOPLE https://ift.tt/3jTcTuPTHE RIGHT PEOPLE https://ift.tt/2Ug5BIO https://ift.tt/2Ug5BIO

Show HN: Rewwind – Save words and how you discovered them https://rewwind.co August 12, 2021 at 06:18AM

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(https://ift.tt/3CRXbcb

Best Way For Music Producers To Sell Beats On AUTO-PILOTTHE RIGHT PEOPLE https://ift.tt/2XoDBntTHE RIGHT PEOPLE https://ift.tt/2VNTIdi https://ift.tt/2VNTIdiTHE RIGHT PEOPLE https://ift.tt/3fUF6jOTHE RIGHT PEOPLE https://ift.tt/3iIvwCp https://ift.tt/3iIvwCp

Selling 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

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Best Way For Music Producers To Sell Beats On AUTO-PILOTTHE RIGHT PEOPLE https://ift.tt/3iIjWqV https://ift.tt/3iIjWqVTHE RIGHT PEOPLE https://ift.tt/3m3ibGVTHE RIGHT PEOPLE https://ift.tt/3lXXD2n https://ift.tt/3lXXD2n

Selling 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

(https://ift.tt/3fYqpfw

via Blogger https://ift.tt/3safzI9

(https://ift.tt/2VTESlX

Best Way For Music Producers To Sell Beats On AUTO-PILOTTHE RIGHT PEOPLE https://ift.tt/2XoDBntTHE RIGHT PEOPLE https://ift.tt/2VNTIdi https://ift.tt/2VNTIdi

Selling 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/3yIxatg

Best Way For Music Producers To Sell Beats On AUTO-PILOTTHE RIGHT PEOPLE https://ift.tt/3iIjWqV https://ift.tt/3iIjWqV

Selling 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

(https://ift.tt/3fYqpfw

Show HN: WhatsForm – Build form & get data from customer’s WhatsApp number https://ift.tt/3yHZRpZTHE RIGHT PEOPLE https://ift.tt/37A20bkTHE RIGHT PEOPLE https://ift.tt/3jIAmyG https://ift.tt/3jIAmyGTHE RIGHT PEOPLE https://ift.tt/3jM6P7oTHE RIGHT PEOPLE https://ift.tt/37DTgkO https://ift.tt/37DTgkO

Show HN: WhatsForm – Build form & get data from customer’s WhatsApp number https://whatsform.com August 12, 2021 at 12:45AM

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Show HN: WhatsForm – Build form & get data from customer’s WhatsApp number https://ift.tt/3yHZRpZTHE RIGHT PEOPLE https://ift.tt/37A20bkTHE RIGHT PEOPLE https://ift.tt/3jIAmyG https://ift.tt/3jIAmyG

Show HN: WhatsForm – Build form & get data from customer’s WhatsApp number https://whatsform.com August 12, 2021 at 12:45AM

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(https://ift.tt/3sn9lVD

Thursday, August 13, 2020

Show HN: I’m 15 and made a bedtime calculator with React JavaScript https://ift.tt/3kEoHAtTHE RIGHT PEOPLE https://ift.tt/3kBAFLvTHE RIGHT PEOPLE https://ift.tt/30RY5o3 https://ift.tt/30RY5o3THE RIGHT PEOPLE https://ift.tt/30S2Vl2THE RIGHT PEOPLE https://ift.tt/3kIl6Sf https://ift.tt/3kIl6Sf

Show HN: I’m 15 and made a bedtime calculator with React JavaScript https://ift.tt/2FnsXVb August 12, 2020 at 07:22PM

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Show HN: I’m 15 and made a bedtime calculator with React JavaScript https://ift.tt/3kEoHAtTHE RIGHT PEOPLE https://ift.tt/3kBAFLvTHE RIGHT PEOPLE https://ift.tt/30RY5o3 https://ift.tt/30RY5o3

Show HN: I’m 15 and made a bedtime calculator with React JavaScript https://ift.tt/2FnsXVb August 12, 2020 at 07:22PM

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Show HN: Scraping 2.5 million songs metadata from Jango Radio https://ift.tt/3gTETvFTHE RIGHT PEOPLE https://ift.tt/3gVocjlTHE RIGHT PEOPLE https://ift.tt/2XVjWsM https://ift.tt/2XVjWsMTHE RIGHT PEOPLE https://ift.tt/2XVyecUTHE RIGHT PEOPLE https://ift.tt/30S4uj1 https://ift.tt/30S4uj1

Show 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

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Show HN: Faceoffus.com: easily remove faces from photos before sharing https://ift.tt/3iDQOOmTHE RIGHT PEOPLE https://ift.tt/2DY1Ij4THE RIGHT PEOPLE https://ift.tt/340NDfX https://ift.tt/340NDfXTHE RIGHT PEOPLE https://ift.tt/33W1P9FTHE RIGHT PEOPLE https://ift.tt/3iB085H https://ift.tt/3iB085H

Show HN: Faceoffus.com: easily remove faces from photos before sharing https://faceoffus.com/ August 12, 2020 at 04:21PM

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Show HN: Scraping 2.5 million songs metadata from Jango Radio https://ift.tt/3gTETvFTHE RIGHT PEOPLE https://ift.tt/3gVocjlTHE RIGHT PEOPLE https://ift.tt/2XVjWsM https://ift.tt/2XVjWsM

Show 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/31MpjLN

Show HN: Faceoffus.com: easily remove faces from photos before sharing https://ift.tt/3iDQOOmTHE RIGHT PEOPLE https://ift.tt/2DY1Ij4THE RIGHT PEOPLE https://ift.tt/340NDfX https://ift.tt/340NDfX

Show HN: Faceoffus.com: easily remove faces from photos before sharing https://faceoffus.com/ August 12, 2020 at 04:21PM

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(https://ift.tt/2PPYAbE

Wednesday, August 12, 2020

Show HN: Kinopio.club – visual thinking, brainstorming tool https://ift.tt/2XRZvwGTHE RIGHT PEOPLE https://ift.tt/31Jdk1zTHE RIGHT PEOPLE https://ift.tt/2CpOFqm https://ift.tt/2CpOFqm

Show HN: Kinopio.club – visual thinking, brainstorming tool https://kinopio.club August 12, 2020 at 07:55AM

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Show HN: dstack – an open-source tool to build data applications easily https://ift.tt/2XRaUgsTHE RIGHT PEOPLE https://ift.tt/30S1K5fTHE RIGHT PEOPLE https://ift.tt/31MbWLO https://ift.tt/31MbWLO

Show 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

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Show HN: Orchest – Data Science Pipelines https://ift.tt/3fPh5HOTHE RIGHT PEOPLE https://ift.tt/2CoSP1GTHE RIGHT PEOPLE https://ift.tt/30NQW7W https://ift.tt/30NQW7W

Show HN: Orchest – Data Science Pipelines Hello Hacker News! We are Rick & Yannick from Orchest (https://www.orchest.iohttps://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

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