Upstack, Claude Code skills for red/green TDD

Hacker News

Inspired by Garry's gstack, upstack is a set of Claude Code skills designed for smaller-scale iterations to add finessed polish to our product that genuinely delights users. upstack's focus on red/green TDD and making screenshots and postman collections gives us the confidence we need to ship PRs to production, fast. gstack is perfect for new, ambitious projects, and doing the "first 80%". upstack is designed for smaller, last-mile iterations, focused on testing, correctness, and polish. We've deliberately made the skills compatible with gstack so you can use both at once. Feedback and contributions always welcome

Visit product View on Hacker NewsMar 23, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, user, new · Missing: mac, agents, macos

93%93% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

21%21% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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