Gi
GitFollow – Check if a user follows another user on GitHub
Hacker NewsGitFollow – Check if a user follows another user on GitHub
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos78%78% 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 released63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto22%22% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue13%13% 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
Be
Be My First User27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Be My First User
Hacker News3Mo
Moshimoshi, Gravatar for user bios51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Moshimoshi, Gravatar for user bios
Hacker News2Gi
GitHub Watches for User60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GitHub Watches for User
Hacker News7Ny
Nymeria – Find LinkedIn and GitHub User Emails42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Nymeria – Find LinkedIn and GitHub User Emails
Hacker News13We
We use Github Gists to store user data57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We use Github Gists to store user data
Hacker News34Ge
Get Any GitHub User's Email Address68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get Any GitHub User's Email Address
Hacker News6Fi
Find the email address of any GitHub user68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find the email address of any GitHub user
Hacker News3Fi
Find the email address of any GitHub user68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find the email address of any GitHub user
Hacker News64Ha
HastyPHP - Simple MVC with annoying user functions already there59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
HastyPHP - Simple MVC with annoying user functions already there
Hacker News1Us
User screenshare videos with WebRTC65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
User screenshare videos with WebRTC
Hacker News37