Ch
ChatGitHub – Exploring GitHub Using Natural Language
Hacker NewsChatGitHub – Exploring GitHub Using Natural Language
Share cardActual performance
6points
4comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Strong signals: chat · Missing: web3, crypto, cryptocurrency67%67% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released62%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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting13%13% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Co
CodeSnippetSearch – Search GitHub repositories using natural language62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CodeSnippetSearch – Search GitHub repositories using natural language
Hacker News1Ch
Chat with GitHub APIs using natural language61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Chat with GitHub APIs using natural language
Hacker News1Se
Search San Francisco using natural language70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Search San Francisco using natural language
Hacker News12PlotMakerPRO56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Create data visualizations using natural language
Indie Hackers1aiSe
Search code using natural language65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Search code using natural language
Hacker News4Wr
Write code using natural language69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Write code using natural language
Hacker News209We
Web automation using natural language48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Web automation using natural language
Hacker News3Se
Search photos using natural language58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Search photos using natural language
Hacker News4Da
DataSloth - Query Pandas using natural language55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
DataSloth - Query Pandas using natural language
Hacker News14
ManePaw81%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find documents on your Mac using natural language
Product Hunt+85