LazyViewer – TUI code viewer with Git diff previews

Hacker News

Hi HN, While I was coding with Codex I missed a tool that - like Cursor - shows diffs inline while it is able to do both tree navigation easily with keyboard and navigate the source code without changing mode (like in vim). My favourite tool in TUI was lazygit, but I wanted a way to see the diffs inside the whole source code. As this looked like a nice little project to vibe code in a few days, I did it and tried to perfect the integration of the few features that I wanted together: - Full easy keyboard + mouse navigation - Multiple tree support (unlike VS code / Cursor) - Inline diff - Ripgrep fast search - Sticky function/class headers I tried tools like ranger and other navigators, and vim NeoTree preview, but none of these tools were really good for my use case. Now what I got is an ugly code base in a super functional tool

Visit product View on Hacker NewsFeb 25, 2026

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3points

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Launch Intel predictions

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

88%88% 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.

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

86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: reviews · 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

11%11% 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.

Correct prediction on native model

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