Stacked diffs / interdependent changes (on GitHub)

Hacker News

We (Screenplay, https://screenplay.dev) built an internal tool (Graphite) to enable stacked diffs on GitHub for an individual (i.e. you can adopt it without your team also having to adopt it). It's inspired by some of the internal tooling we had at bigger companies. Specifically, the tool has two parts: * The CLI - https://github.com/screenplaydev/graphite-cli: Allows you to create diffs, restack them, submit them to GitHub, etc. It runs locally and stores all the metadata in your .git folder. * The website - https://app.graphite.dev/: A UI layer on top of GitHub (ultimately reads/writes from GitHub). OAuth in to have a better/customizable review queue and stack visualization, with notifs and an improved code review UI coming soon. You can use those two either separately or together. Would love people's feedback!

Visit product View on Hacker NewsJul 29, 2021

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: visual, 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, io · Missing: https docs, excited, just released

77%77% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

39%39% 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

16%16% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

A system to recommend configuration changes on NixOS / Nix47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A system to recommend configuration changes on NixOS / Nix

Hacker News3

Critter TUI for reviewing GitHub PRs and agent changes37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Critter TUI for reviewing GitHub PRs and agent changes

Hacker News1

Get your own emails with the changes of GitHub repositories you follow59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get your own emails with the changes of GitHub repositories you follow

Hacker News3

Script that changes GitHub default branches to master47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Script that changes GitHub default branches to master

Hacker News26

Gcommit – clustering code changes semantically43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gcommit – clustering code changes semantically

Hacker News2

Abuse GitHub Actions to track upstream file changes27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Abuse GitHub Actions to track upstream file changes

Hacker News1

F5NoMore – See your changes as you make them55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

F5NoMore – See your changes as you make them

Hacker News3

A tool that lets you reorder the changes in GitHub PRs32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A tool that lets you reorder the changes in GitHub PRs

Hacker News7

For H1B changes Impacted Friends55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

For H1B changes Impacted Friends

Hacker News1

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

Browse all products Analyze your launch