Show HN: UI to allow your team to easily create Airflow DAGs with no code https://bit.ly/35pH60Q

Show HN: UI to allow your team to easily create Airflow DAGs with no code https://bit.ly/3GhPY5j January 29, 2022 at 10:42PM

Show HN: Troogl – A new way to read the news https://bit.ly/3GcMKA7

Show HN: Troogl – A new way to read the news https://bit.ly/3AKUJDG January 29, 2022 at 02:25PM

Show HN: New Feature] we added new breathing exercise https://bit.ly/3uc3qVZ

Show HN: New Feature] we added new breathing exercise https://bit.ly/340UuZ2 January 29, 2022 at 12:44PM

Show HN: Criew - A place to share and review different types of contents https://bit.ly/3Gb72u0

Show HN: Criew - A place to share and review different types of contents https://bit.ly/340QcRq January 29, 2022 at 12:07PM

Show HN: Wordle Image Maker https://bit.ly/3ubtXTC

Show HN: Wordle Image Maker https://bit.ly/3Gj2S3m January 29, 2022 at 03:55PM

Show HN: Random Wikipedia Article by Category https://bit.ly/3AVFl7z

Show HN: Random Wikipedia Article by Category https://bit.ly/3oc2aOX January 29, 2022 at 10:25AM

Show HN: Convert audio or video files to text https://bit.ly/3g96YQW

Show HN: Convert audio or video files to text Hey HN, we created a free audio/video transcription and editor that you can use for free. You can detect cheers, applause, filler words, edit transcript to edit audio, create audiograms and export in different formats. We also have a chrome extension that transcribes any audio/video on the page you are on. After transcription you can follow along with the audio and read the transcribed text while the audio is playing. You can search for spoken content in a podcast or other audio/video content in your browser. There are some limitations, our product only works on Chrome and Firefox, we only support english for now and audio longer than an hour is not guaranteed to be transcribed (we will lift this limitation soon) links: https://bit.ly/3s36Zv4 chrome extension: https://bit.ly/3AIcQtH... https://bit.ly/3s36Zv4 January 29, 2022 at 12:02AM

Show HN: People should show off failures as much as wins https://bit.ly/3AIpKb5

Show HN: People should show off failures as much as wins I think it's important to show off your failures as much as your victories. I started my career in 2007 and I've worked extensively on 14 projects in 15 years. Only 4 of those turned into meaningful ventures for me. Projects: - (1) IPO - (1) founding engineer of a 9 figure biz - (2) founder of 7 figure biz - (10) failures I put together a one-pager that I think helps put in perspective just how long successes take. https://bit.ly/3r5Ozuw January 28, 2022 at 10:28AM

Show HN: Repography – visualize your Git repo https://bit.ly/34grBIc

Show HN: Repography – visualize your Git repo https://bit.ly/3KI9lIi January 27, 2022 at 11:09AM

Show HN: Cookie Notice for every website. Become EU compliant in a minute https://bit.ly/3G6p6W5

Show HN: Cookie Notice for every website. Become EU compliant in a minute https://bit.ly/3oqnnoH January 27, 2022 at 05:30PM

Show HN: GravaMetrics – Powerful Dashboards made simple https://bit.ly/3IO0dQR

Show HN: GravaMetrics – Powerful Dashboards made simple https://bit.ly/3AFUb1B January 27, 2022 at 12:37PM

Show HN: Open-source admin panel for Supabase https://bit.ly/3Az38da

Show HN: Open-source admin panel for Supabase https://bit.ly/3rX6V00 January 27, 2022 at 02:09PM

Show HN: Hides Windows during screen sharing https://bit.ly/3u4O5Xj

Show HN: Hides Windows during screen sharing https://bit.ly/3G5jZFu January 27, 2022 at 10:52AM

Show HN: Alexa is shutting down, so I made a UI for the most popular sites https://bit.ly/3u3fZ5X

Show HN: Alexa is shutting down, so I made a UI for the most popular sites https://bit.ly/3rVNLaQ January 27, 2022 at 03:40AM

Show HN: Wordle Spoiler – When You Just Want the Answer https://bit.ly/3KHWF4d

Show HN: Wordle Spoiler – When You Just Want the Answer https://bit.ly/3g3XYfy January 26, 2022 at 12:38PM

Show HN: Repository of Data SDKs Collect, for Play Store Data Safety Form https://bit.ly/3KMswAI

Show HN: Repository of Data SDKs Collect, for Play Store Data Safety Form https://bit.ly/35upb9z January 26, 2022 at 11:20AM

Show HN: Visual Python 2.0 – GUI Python code generator for data science https://bit.ly/3G6VzeF

Show HN: Visual Python 2.0 – GUI Python code generator for data science https://bit.ly/3o1mkLo January 26, 2022 at 05:31AM

Show HN: Convert image below a particular filesize online https://bit.ly/3H4RRDE

Show HN: Convert image below a particular filesize online https://bit.ly/3o0RUZL January 26, 2022 at 04:31AM

Show HN: Random Data Generator for arbitrary data types https://bit.ly/3nXHxG6

Show HN: Random Data Generator for arbitrary data types Datasino is a command line tool that can come handy when load testing a service or database. Give it a data schema (many compound types supported, including recursive types), an encoding (JSON, CSV or ClickHouse) and a target (a file or a Kafka partition) and a data rate and it will generate a reasonably optimized (native code) random data source. See the top of the README for some examples. If you have any ideas on how to extend this tool so that it's useful to more people, please let me know. https://bit.ly/3IudOfU January 26, 2022 at 12:38AM

Show HN: SPyQL – SQL with Python in the middle https://bit.ly/3fZeI7O

Show HN: SPyQL – SQL with Python in the middle SPyQL ( https://bit.ly/3fVh4ET ) is SQL with Python in the middle, an open-source project fully written in Python for making command-line data processing more intuitive, readable and powerful. Try mixing in the same pot: a SQL SELECT for providing the structure, Python expressions for defining transformations and conditions, the essence of awk as a data-processing language, and the JSON handling capabilities of jq. How does a SPyQL query looks like? $ spyql “ IMPORT pendulum AS p SELECT (p.now() - p.from_timestamp(purchase_ts)).in_days() AS days_ago, sum_agg(price * quantity) AS total FROM csv WHERE department.upper() == 'IT' and purchase_ts is not Null GROUP BY 1 ORDER BY 1 TO json” < my_purchases.csv In a single statement we are 1) reading a CSV (of purchases) with automatic header detection, dialect detection, type inference and casting, 2) filtering out records that do not belong to the IT department or do not have a purchase timestamp 3) summing the total purchases and grouping by how many days ago they happened, 4) sorting from the most to the least recent day and 5) writing the result in JSON format. All this without loading the full dataset into memory. The Readme is loaded with recipes and there is also a demo video: https://vimeo.com/danielcmoura/spyqldemo Any feedback is welcomed! Thank you. https://github.com/dcmoura/spyql January 25, 2022 at 06:29PM