DevNotify – Track Your Starred GitHub Repos and Issues (Open Source)

Hacker News

Hi HN! I built and just launched DevNotify — an open-source platform to help developers keep track of their starred GitHub repositories and open issues, so they never miss important updates or contribution opportunities. Why I built it: As a developer, I often star GitHub repos or open issues I care about, only to forget them later. GitHub doesn’t make it easy to track changes across multiple projects you're interested in. I wanted a way to centralize updates from projects I follow or contribute to — so I built DevNotify. What DevNotify does: - Shows updates from your starred repositories - Tracks issues. - Great for finding contribution opportunities - Fully open-source and privacy-friendly Live App: https://devnotify.in/app GitHub Repo: https://github.com/yourusername/devnotify Would love to hear your thoughts and feedback — technical or UX-wise. I’m actively working on it, so open to suggestions, ideas, and contributions! Thanks

Visit product View on Hacker NewsJul 31, 2025

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

84%84% 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.

Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

42%42% 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, active · Missing: mrr, revenue, profit

13%13% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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