SoosFire/improveapp·1 snapshot·7d ago
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AI summary & health verdict

Generated from the latest snapshot. Every claim is grounded in a deterministic signal computed server-side — see the Health section's "evidence" tags for the underlying data.

AI briefing

· claude-sonnet-4-5 · Apr 22, 2026
improveapp is a one-week-old solo project building a swipeable course discovery app with a Swift iOS front end and HTML mockups for content iteration. SoosFire is the only contributor so far, having pushed seven commits to stand up a feed UI, a lesson flow, and 333 courses across 69 categories. The Swift code sits under ios/Improve and implements a card-based feed view with likes and a library. Hotspots tell the real story. categories.html and its build script co-change every time, suggesting the HTML mockups drive the data model before anything ships to iOS. Most Swift files churned only once — likely the initial scaffold — while the HTML preview and JSON file iterated twice. The bulk of the codebase is HTML (76%) with JavaScript build tooling and a thin Swift layer. No stars, no PRs, no license. This is a prototype in motion. The commit sequence shows rapid design pivots: a categories tab appeared, then course counts disappeared the next day. Whether it grows beyond a personal experiment depends entirely on whether SoosFire invites collaborators or keeps building in the open alone.
1,828 tokens in · 250 out~$0.0092

Health check

Computes concrete signals — bus factor, PR backlog, test coverage, module coupling, freshness — and asks Claude to translate them into a plain-English verdict you can act on.