Tool to upload GitHub repo to ChatGPT

Hacker News

Hi, I needed a fun excercise to build and I noticed in my development workflow that I was constantly giving ChatGPT new copies of my code by copy-pasting individual files into the chat. I also noticed that I couldn't upload my project into ChatGPT, nevermind giving it updated files. I decided to quickly make this tool to programmatically upload my GitHub repo to ChatGPT and query it. I know there may be other ways to do this such as GitHub Copilot, but I wanted an exercise to build and I also heard GPT 4 gives better responses than Copilot. If there's a better option that isn't GitHub Copilot then share it below and I will probably use it. I also may give Copilot a go. You can run it locally by visiting the GitHub below. https://github.com/erictrimbs/coding-assistant

Visit product View on Hacker NewsJul 23, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, chatgpt, coding · 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

55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

32%32% predicted probability of success on TrustMRR, 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

31%31% 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

13%13% 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.

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