Commitpit – write your code documentation in minutes rather than days

Hacker News

== What is CommitPit? == CommitPit is a web application that lets you upload a GitHub repository to scaffold your code documentation using GPT. Once it's summarised you can also create subsystem documentation in a matter of minutes by directing CommitPit to look at the relevant files. == Limited public alpha == Since we're built on top of ChatGPT there are some non-trivial usage costs. We're inviting 20 users to try it for free so we can get the feedback we need without having to break the bank. We're offering select HN users $5 in free credit to try it out, no need to get an OpenAI token to share, just fill out the form if you're interested and we'll be in touch if we feel your use case fits!

Visit product View on Hacker NewsMar 27, 2023

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Actual performance

4points

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, chatgpt, openai · Missing: mac, agents, macos

84%84% 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

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

57%57% 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: users · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

44%44% 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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