Interactive Smartlog VSCode Extension – An Interactive Git GUI

Hacker News

Interactive Smartlog is a graphical VSCode extension that presents a simplified view of the Git log, directly highlighting the branches and commits that are most relevant to your current work. And it's not just a visual tool — it's fully interactive, allowing you to add/switch/remove branches, stage/unstage files, and manage commits directly from the GUI. This tool draws inspiration from Meta's Interactive Smartlog built for the Sapling source control system, and I've adapted it to work with Git. Transitioning the functionality from Sapling to Git wasn't just about a one-to-one feature transfer; it involved changing how data is queried & presented, as well as introducing UI interactions for several Git concepts (like branches, staging/unstaging changes, etc) which are not present in the Sapling source control system. Originally a personal project to enhance my own workflow, I've published the extension on the VSCode marketplace for anyone who would like to use it. I'm keen to hear your feedback and suggestions, as community input is invaluable in shaping its future updates.

Visit product View on Hacker NewsMar 17, 2024

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

91%91% 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

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

8%8% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · 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

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