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Project 2501 – an open-source AI assistant, written in C++
Hacker NewsProject 2501 – an open-source AI assistant, written in C++
Hi all, This is something I've had fun working on for a few days. Project 2501 is an open-source AI assistant, written in C++. You can speak to it and it will speak back to you. It uses the Microsoft Speech API for wake-word detection and speaking, whisper.cpp, and the OpenAI chat API. Check it out at https://github.com/Ono-Sendai/project-2501
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3points
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Product HuntOn track for Day 1 leaderboard · Strong signals: openai, open · Missing: mac, agents, macos80%80% 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 released67%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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive23%23% 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, revenue14%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, cryptocurrency9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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