Aidebugs- a CLI tool for errors Install now on NPM

Hacker News

Introducing aidebugs- a command line tool to help you debug errors encountered running programs locally! Download and get running now on npm: https://www.npmjs.com/package/aidebugs Details here: https://github.com/guananya/aidebugs/tree/main Install now and use your @OpenAI key: npm install -g aidebugs aidebugs config --key "<your-api-key>" aidebugs --version How it works: - Run your command, the error message (if any) is passed to the openai api - Include multiple files for added context - Can specify line ranges to pass from files 'aidebugs --command "python3 script.py" --file "script.py:5-20"

Visit product View on Hacker NewsDec 23, 2023

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

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

best fitHighest predicted score across all platforms for this description.

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: context, openai, open · Missing: mac, agents, macos

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

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

41%41% predicted probability of success on AppSumo, 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

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

17%17% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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