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Sweep – AI-Powered Junior Developer for Tech Debt

Hacker News

Sweep – AI-Powered Junior Developer for Tech Debt

Hi HN, we recently built and open sourced Sweep, an AI powered junior developer. Kevin, Luke, and I were tired of handling tech debt when we knew LLMs could do this for us. Sweep solves small features, bugs, and missing documentation by writing pull requests. This allows you to review and validate the code before pushing it to your codebase. Features: - Turns issue descriptions directly into pull requests (without an IDE) - Addresses developer replies & comments - Fixes the code based on failing tests & linters from GitHub Actions Examples: https://docs.sweep.dev/examples Check out our Github repo and install Sweep at: https://github.com/sweepai/sweep#-getting-started !

Visit product View on Hacker NewsJul 20, 2023

Actual performance

7points

2comments

Made the leaderboard

Launch Intel predictions

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

78%78% 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: open source, ide, io · Missing: https docs, excited, just released

59%59% 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 HackersFits the IH revenue-focused audience · Strong signals: started · 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 · Missing: mobile apps, ios, personal

28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

21%21% 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

14%14% 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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