Upgrading GitHub by using Pierre's diffs and trees

Hacker News

Github is famously slow for diffs, which can sometime cause issues for huge PRs (i.e.: https://github.com/ghostty-org/ghostty/pull/12291/changes ) We can try making the experience better by replacing the content directly inside Github by diffs.com and trees.software, making it easy and fast to load huge PRs, diffs, commits, compares, comments, for public and private repos This is directly inspired by the amazing demo from the Pierre team at https://diffshub.com

Visit product View on Hacker NewsMay 27, 2026

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: host · Missing: plus, platform, intuitive

60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

57%57% predicted probability of success on Indie Hackers, 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

12%12% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

GitHub +1 Badges Using Crystal and Redis55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitHub +1 Badges Using Crystal and Redis

Hacker News2

Microfrontend Using ReactJs and AngularJs+ GitHub Cron53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Microfrontend Using ReactJs and AngularJs+ GitHub Cron

Hacker News2

Using LDA to suggest GitHub repositories based on what you have starred41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Using LDA to suggest GitHub repositories based on what you have starred

Hacker News99

Sell your GitHub repositories using GitPaid62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sell your GitHub repositories using GitPaid

Hacker News5

Earn achievements while using GitHub44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Earn achievements while using GitHub

Hacker News3

Blog using Github Gists52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Blog using Github Gists

Hacker News4

Gitignore Generator using GitHub's gitignore files45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gitignore Generator using GitHub's gitignore files

Hacker News6

My Github résumé63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Github résumé

Hacker News301

GitHub + Tetris = Gitris69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitHub + Tetris = Gitris

Hacker News12

completeme, 't' in Github for Bash57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

completeme, 't' in Github for Bash

Hacker News23

Browse all products Analyze your launch