PromptMate – VS Code extension for pair programming with GPT-4

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I have been using ChatGPT for the last few weeks to help with software development tasks. However, I faced some issues. ChatGPT UI is not great for long texts, and manually giving context about code (file names, line numbers) was annoying. Also, switching back and forth between the browser and editor is subpar. To address those issues, I developed PromptMate—an VS Code extension to help you use GPT-4 (or GPT-3.5) as a programming peer. With it, adding files, functions, and code selections to your prompt is one shortcut away. Code snippets are displayed in a collapsed UI so you can focus on your question. The extension automatically adds metadata about the snippets that may be relevant for GPT-4. Then, you can talk about the code and get your AI peers to help you. It was a pleasure to use the extension to develop itself. I am excited to share it with the community. You can install it here https://marketplace.visualstudio.com/items?itemName=MateusZi...

Visit product View on Hacker NewsMar 22, 2023

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

87%87% 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

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

44%44% 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

43%43% predicted probability of success on TrustMRR, 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

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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