BetaFeedback
find testers, ship cleaner builds
What it does
BetaFeedback helps you find people open to testing, swap builds with other creators, and turn tester feedback into structured bug reports automatically. Download for iOS and Android.
Find people open to testing your build, swap testing with other creators, and turn every report into a structured bug — title, steps, severity — ready to confirm. BetaFeedback isn’t just a feedback form. It’s how you recruit coverage and turn what people say into work your team can ship against. Browse people who’ve opted in as open to test, invite them with one tap, or propose a test-for-test swap with another creator who needs coverage too. They install your build from TestFlight, Play, or a link you attach — then tap to report what’s broken, confusing, or missing. Each report lands as a structured draft: title, repro steps, expected vs. actual, severity. You confirm or dismiss — noise…from betafeedback.com
Does the same job
all alternatives →

TesterBuddy: Beta Feedback ExchangeFeb 2026 · ▲41TesterBuddy – Stop silent TestFlight installs (Public Beta)
- AEAn easier way to manage beta tests & get insightful feedback2012 · userdiary.com · ▲40


More dev tools this month
the category →



Open-source GTM skills for technical founders
Dev tools · 29d ago · gtmcofounder.com

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.
Dev tools · 1d ago · opentrailpaper.com

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 · 17d ago · simedw.com