Gi
GitHub feed CLI – GitHub feed right at your terminal
Hacker NewsGitHub feed CLI – GitHub feed right at your terminal
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos73%73% 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 · Missing: https docs, excited, just released56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto53%53% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal32%32% 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, podcasting22%22% 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, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Te
Terminal Stlye HN Feed56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Terminal Stlye HN Feed
Hacker News1Li
Linguist256 – GitHub Linguist for the Terminal68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Linguist256 – GitHub Linguist for the Terminal
Hacker News1Fe
Feed the Quine41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Feed the Quine
Hacker News1Dj
Django Filtered Feed40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Django Filtered Feed
Hacker News1GT
GTFS (transit) feed normalization41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GTFS (transit) feed normalization
Hacker News8Rundown32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your feed, synthesized.
Indie Hackers1aiGi
GitHub contribution shown right47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GitHub contribution shown right
Hacker News3AI
AI Feed26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Feed
Hacker News1Gi
GitHub releases atom feed49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GitHub releases atom feed
Hacker News3Yo
Your GitHub feed as notifications in your desktop53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your GitHub feed as notifications in your desktop
Hacker News6