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GithubPin – Pin GitHub repos, issues, and PRs for quick access

Hacker News

GithubPin – Pin GitHub repos, issues, and PRs for quick access

I built a Chrome extension called GithubPin that lets you pin GitHub items (repositories, issues, pull requests, and projects) for easy access later. It adds a small pin button directly on GitHub pages and stores your pins. You can view and manage everything from a clean, GitHub-like extension's popup or your dashboard. Key features: Pin/unpin directly from GitHub UI Organize pins by type (repos, issues, PRs, projects) See metadata like labels and status No login or account required I built it out of personal need and kept it minimal by design. Would love feedback, ideas, and thoughts from fellow devs. Chrome Web Store: https://chromewebstore.google.com/detail/githubpin/hfedkfpmc...

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: google · Missing: mac, agents, macos
77%77% 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.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, google · Missing: mobile apps, ios, entrepreneurs
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
34%34% predicted probability of success on Indie Hackers, 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
21%21% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% 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.

Correct prediction on native model

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