ChatAPI – PWA to Use ChatGPT by API

Hacker News

I've built this PWA to use ChatGPT by API. My main motivation was to use the API since it is much cheaper than the premium plan and I only pay for usage. The main inspiration was ChatGPT-web by Niek [1], but I was lacking time to dig into the code base to make changes. Hence I went for a lightweight approach with Alpine.js and Open Props. There is no build step, the dependencies are fetched via CDN. In general it was much fun to work with Alpine.js - being a parent means having very little time. So it was great to not have to invest 20h into learning a new framework. My main ask was something that gives me data binding and does not require a build step. Alpine.js was the perfect fit! A hacky bit I'm proud of is the dynamic loading of languages for syntax highlighting with highlight.js :) Feel free to fork, adapt and host for yourself!

Visit product View on Hacker NewsOct 19, 2023

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Actual performance

32points

4comments

Made the leaderboard

Launch Intel predictions

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

96%96% 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: io · Missing: https docs, excited, just released

59%59% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · 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

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.

Correct prediction on native model

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