GitHub Commit Visualiser

Hacker News

I built a tool which you can use to visualise your git commits at an org or repository level. It shows just how much work an engineering team, or even an individual does, that often goes unseen by non-dev teams. You can read about the build here: https://ably.com/blog/visualize-your-commits-in-realtime-wit... Repo is here: https://github.com/ably-labs/github-commit-visualizer You can deploy your own to netlify (or provider of your choice) and start visualising your own project's commits in realtime.

Visit product View on Hacker NewsAug 11, 2022

Share card

Actual performance

20points

12comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

69%69% 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: ide · Missing: https docs, excited, just released

62%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.

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

44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

40%40% 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, revenue

14%14% 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

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

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

I made a commit time histogram of 504,015 github repositories58%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 commit time histogram of 504,015 github repositories

Hacker News4

First Commit – find the first commit of any GitHub project62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

First Commit – find the first commit of any GitHub project

Hacker News42

First Commit – find out the first commit of GitHub projects61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

First Commit – find out the first commit of GitHub projects

Hacker News11

Mail2github – commit something to GitHub via email67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mail2github – commit something to GitHub via email

Hacker News20

Oops, commit typo55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Oops, commit typo

Hacker News1

ccc (Conventional Commit Cheatsheet)55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ccc (Conventional Commit Cheatsheet)

Hacker News2

A Quine Commit55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Quine Commit

Hacker News2

First commit of any GitHub repository59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

First commit of any GitHub repository

Hacker News1

Browse all products Analyze your launch