Simple Web ChatGPT client without server and the need of the API key

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I thought these modern web apps with a million lines of JS, insane memory consumption and server side are basically bloated. So during an overnight work (not without the help of Large Language Models), I made a couple clients for different occasions. One of them, written in HTML/JS/CSS, you can see in the main link. The other is written in Bash and represents a primitive script that uses curl and jq to send and receive information from the "free" Chinese API. That's good enough for me. Link to the repository: https://github.com/asakura42/SimpleGPT I hope you will appreciate it. Among other things, I'll gladly accept your contribution in the form of pull requests if you like my idea. You could, for example, make a primitive GUI program without a million dependencies (my programming knowledge is not enough beyond python+tk, so I hope someone will help me with it).

Visit product View on Hacker NewsOct 9, 2023

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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.

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

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

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: model, apps, models · Missing: mac, agents, macos

47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

35%35% 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

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.

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