Deff – Side-by-side Git diff review in your terminal

Hacker News

deff is an interactive Rust TUI for reviewing git diffs side-by-side with syntax highlighting and added/deleted line tinting. It supports keyboard/mouse navigation, vim-style motions, in-diff search (/, n, N), per-file reviewed toggles, and both upstream-based and explicit --base/--head comparisons. It can also include uncommitted + untracked files (--include-uncommitted) so you can review your working tree before committing. Would love to get some feedback

Visit product View on Hacker NewsFeb 26, 2026

Share card

Actual performance

120points

67comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

81%81% 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, io · Missing: https docs, excited, just released

58%58% 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 · Strong signals: supports · Missing: reddit linkedin, podcasting, created

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

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

42%42% 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

22%22% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Locust – “Git diff” over abstract syntax trees64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Locust – “Git diff” over abstract syntax trees

Hacker News26

Hiding code from Git diff68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hiding code from Git diff

Hacker News167

A Git diff-able database75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Git diff-able database

Hacker News1

Side-by-side diff in the terminal with images and syntax highlighting64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Side-by-side diff in the terminal with images and syntax highlighting

Hacker News3

Diffty – Local Git diff visualization and review tracking tool54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Diffty – Local Git diff visualization and review tracking tool

Hacker News1

Infracost diff – “Git diff” but for cloud costs65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Infracost diff – “Git diff” but for cloud costs

Hacker News16

Find copy/pasted code in a git diff64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find copy/pasted code in a git diff

Hacker News2

Verist57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Git for AI decisions — replay, diff, and review every change

Product Hunt+3

`diff arc0 arc3.1`60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

`diff arc0 arc3.1`

Hacker News49

Diff few JSONs60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Diff few JSONs

Hacker News1

Browse all products Analyze your launch