Build GPT-powered apps with just GPT4 prompting

Hacker News

Hi everyone, We built a quick experiment this weekend that allows you to use GPT4 to quickly generate shareable web apps that use the ChatGPT API. Here’s a video of me building an app similar to https://whatdoesthiscodedo.com/ : https://www.youtube.com/watch?v=VpvGd21V0u0 "What does this code do?" went to #1 on Hacker News a couple of months ago. The app takes a piece of code, asks GPT4 to analyze it and returns a simple, English description of the code. An app like this is super simple to build with MetaGPT. What other kinds of things can you build with this? * Birthday card poem generator * Paul Graham advice app, where he gives you feedback on your startup idea * Proofreader * Children’s story generator *…anything else ChatGPT is good at! The app is free to use after sign up (for up to 4 creations). I would love to hear your feedback and see what you build with MetaGPT. Here's the app URL: https://picoapps.xyz/metagpt

Visit product View on Hacker NewsApr 24, 2023

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

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.

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

35%35% 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

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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