"GPT Take the Wheel" – write what you want, let GPT implement it

Hacker News

As mentioned in the readme, this was directly inspired by the this project: https://github.com/mpoon/gpt-repository-loader And by the top comment on the HN thread about it: https://news.ycombinator.com/item?id=35191303 Thanks to both the creator and commenter there for the idea. This adds another "twist", in that if you run the "take the wheel" version, it'll automatically implement the changes (i.e. overwrite a file with whatever GPT spits out) and show you the git diff. This is obviously potentially unsafe - you're overwriting your files with whatever the LLM spits out, so please be careful and don't run it somewhere with important files, or in a repo with files you wouldn't paste into the chatGPT input box. I wouldn't even install this on a work computer. This is pretty basic and isn't necessarily all that useful for real work, the workflow is make request -> send file(s) -> GPT changes one file. There's no way to continue a conversation, or ask it to make multi-file changes etc. It's fun to play with though!

Visit product View on Hacker NewsMar 24, 2023

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

83%83% 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: ide, io · Missing: https docs, excited, just released

69%69% 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 · Missing: supports, reddit linkedin, podcasting

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

46%46% 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

38%38% 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

19%19% 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

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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