TR

TRS-GPT – ChatGPT client/server for the TRS-80

Hacker News

TRS-GPT – ChatGPT client/server for the TRS-80

Hi there HN community. I'm excited to show my personal project -- an open-source code and hardware approach that connects my 1980's TRS-80 Model III computer to an OpenAI server. The TRS-80 can hold a chat session with OpenAI, and it's all very retro feeling. There were challenges along the way, as the approach to interfacing between ancient hardware and modern software interface wasn't immediately available. Please see https://github.com/druid77/trs-gpt for all the details, and let me know if you have any ideas for improvements. For example, adding support for voice.

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Actual performance

102points
20comments
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, computer, chatgpt · 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
74%74% 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, ide, io · Missing: https docs, just released, exist
71%71% 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: personal, way · Missing: mobile apps, ios, entrepreneurs
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface · 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
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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