Leaderboard of Top GitHub Repositories Based on Stars

Hacker News

I created a leaderboard showcasing the top 1000 GitHub repositories based on the number of stars. With GitHub hosting over 100 million public repositories, this leaderboard highlights the top 0.001% in terms of the number of stars. Stars might not be the perfect metric for adoption—metrics like the number of monthly downloads could be more accurate—but this list still represents some of the most popular and influential projects in the open-source community. You can check out the leaderboard here: https://githublb.vercel.app/

Visit product View on Hacker NewsJul 11, 2024

Share card

Actual performance

10points

1comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Hacker NewsStrong engagement from HN community · Strong signals: 000, io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting

27%27% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

22%22% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Give and Get more GitHub stars43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Give and Get more GitHub stars

Hacker News1

Gitstarred [TAKE 2] - Get GitHub stars in seconds44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gitstarred [TAKE 2] - Get GitHub stars in seconds

Hacker News2

I made a GitHub stars manager47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a GitHub stars manager

Hacker News3

Astral – organize your GitHub Stars easely49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Astral – organize your GitHub Stars easely

Hacker News1

orion stars 77715%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

orion stars 777

Indie Hackers

Push notifier for GitHub stars47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Push notifier for GitHub stars

Hacker News3

An AI for identifying porn stars24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An AI for identifying porn stars

Hacker News6

Gitsuggest – Suggest GitHub repositories based on your interests38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gitsuggest – Suggest GitHub repositories based on your interests

Hacker News9

GitHub Based Accommodation71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitHub Based Accommodation

Hacker News4

The Instavest Leaderboard40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Instavest Leaderboard

Hacker News6

Browse all products Analyze your launch