what it does
Know what your app does — even the parts you didn't write
What it does
Most tools tell you what changed in your code. This tells you what your application can do: every entry point, what data each one touches, and whether anything checks who is asking. It reads without running anything. No account, no upload, no telemetry, one command writes a single HTML file that works offline. Scan again and it reports what changed about the behaviour, not which lines moved. MIT and free. A paid GitHub Action runs the same check on every pull request, free on public repos.
Atlassian Marketplace apps and developer tools, built with no external servers, no telemetry and nothing leaving the systems you already trust.
Eriksen Labs builds apps for Atlassian Cloud and tooling for people who work with AI models. Every one of them is defined by what it deliberately cannot do — which is why the claims are checkable rather than promised. A typical Marketplace app runs on its vendor's own infrastructure. Installing it means your issues, your customer requests and your page content are copied to a company you have not met, on hosting you did not choose, alongside sub-processors you would have to read a policy to name. None of that is unusual. It is simply how most of the ecosystem is built, and it is why every install turns into a review. The data that cannot leak is the data that was never sent anywhere.…from eriksenlabs.com
Does the same job
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Conversational GitHub Project Management2020 · ▲78Track, report and automate GitHub workflows in Slack. Free

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Launched alongside, August 2026
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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