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I made a CLI integrated with ChatGPT

Hacker News

I made a CLI integrated with ChatGPT

ChatGPT is great! Copilot is great! But, sometimes I just want to run a command from my terminal and get the result. That's why I made the CLI Bud. The idea behind is to automate tasks, such as write tests, do a code review, etc… directly from terminal. I have embedded the prompts on the CLI, so I can so run `cb write test -f PATH_TO_DIR` and all the test files are created. Also, CLI Bud let you start a conversation with ChatGPT directly from your terminal, which is very fast.

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Actual performance

3points
1comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: chatgpt, tasks, code · Missing: mac, agents, macos
96%96% 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 · Strong signals: created · Missing: supports, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: code review, ide, io · Missing: https docs, excited, just released
39%39% 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 · Missing: mobile apps, ios, personal
38%38% 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
30%30% 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
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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