Tool that's built on top of GPT-4 to generate code that runs

Hacker News

Hi HN, As a developer, I like to use ChatGPT to help with my job, especially when looking for boilerplate code, help fix bugs, ... One issue I have with ChatGPT is that the code sometimes doesn't run, contains bugs or doesn't do what you wanted it to do. So I wrote a tool that generates code, make sure it runs on server, solve any bugs that the code contains and then generates tests and make sure the code runs as it is supposed to. We’d love your feedback. Email me aelqaraoui101@gmail.com or DM me on twitter @amine_elqaraoui

Visit product View on Hacker NewsMar 15, 2023

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Launch Intel predictions

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

88%88% 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

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

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

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

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

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

33%33% 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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