Shake Releases
Know if your software is safe to ship
What it does
Shake is a quality and release intelligence platform for mobile and web teams. The new Releases module turns crash-free sessions, endpoints health, coverage, and more into one release health score and Quality Gate before you ship.
Get unreal data to fix real issues in your app or web. Shake is not just a bug and crash reporting tool - it brings all devs, CTOs and testers on the same page.
Debug and report faster with crucial info attached automatically. No coding required—just install the free Shake extension and send flawless bug reports for any website, anytime. Learn more → Look into activity history , instead of listening to vague explanations. As a tester, level up your every ticket With 50+ data points attached. Without tedious manual work. Have those crash reports in a flash Stack trace, blackbox , logs, repro steps and more. Life’s good. All of clients’ reports, streamlined No more Whatsapp, emails, texts, or calls. Just one place for bug triage. Have all the valuable customer feedback you need in no time Understand users 122% better Get a clearer…from shakebugs.com
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OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
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Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com