Launch Intel
Gi

GitHub Auditors Webhook – post-commit code review on GitHub

Hacker News

GitHub Auditors Webhook – post-commit code review on GitHub

Visit productView on Hacker NewsJun 18, 2015
Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos
84%84% 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 · Strong signals: code review · 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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
39%39% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% 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, personal
28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% 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, podcasting
9%9% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Gi
GitHub Code Review with Emacs74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitHub Code Review with Emacs

Hacker News8
Gi
GitHub code review assistant38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitHub code review assistant

Hacker News3
Po
Poetically simple code review on GitHub70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Poetically simple code review on GitHub

Hacker News66
GR
GRT – track code review turnaround for your GitHub repositories66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GRT – track code review turnaround for your GitHub repositories

Hacker News8
Be
Better code review for GitHub73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Better code review for GitHub

Hacker News110
Be
Better Code Review for GitHub73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Better Code Review for GitHub

Hacker News2
Cr
Crocodile - Better code review for GitHub74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Crocodile - Better code review for GitHub

Hacker News144
Br
Bronson – Automated Java Code Review on GitHub62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bronson – Automated Java Code Review on GitHub

Hacker News8
Co
CodeApprove – better code review for teams on GitHub75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CodeApprove – better code review for teams on GitHub

Hacker News17
Re
Revisit Your First GitHub Commit Ever62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Revisit Your First GitHub Commit Ever

Hacker News2
Browse all productsAnalyze your launch