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Assistant-TUI, a terminal user interface for OpenAI's assistant API

Hacker News

Assistant-TUI, a terminal user interface for OpenAI's assistant API

Hi HN! I just released assistant-tui, a terminal user interface for OpenAI's Assistant API. If terminal is your thing, it can be a great way to test and evaluate the API and its results. It implements not only the API, but also all the infrastructure to make it work, including polling, local repository, and more. Feedbacks and stars are welcome! https://github.com/dalssoft/assistant-tui

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, openai, open · 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.
Hacker NewsStrong engagement from HN community · Strong signals: just released, lua, including · Missing: https docs, excited, exist
67%67% 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: way · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: including · Missing: supports, reddit linkedin, podcasting
50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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