Ac
Access Your Personal LLM over Email, SMS, And Messaging Apps
Hacker NewsAccess Your Personal LLM over Email, SMS, And Messaging Apps
Hi HN! I've been hacking on this little AI chatbot project since the ChatGPT completions API became available. The latest update provides the ability to talk with your bot over SMS. The idea is that you should be able to talk to an LLM based bot over a variety of channels / apps that has context about you. Still a WIP, but i'm getting there. Going to lean into discord next. If anyone has any suggestions feedback is greatly appreciated!
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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, email, context · Missing: mac, agents, macos81%81% 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, podcasting71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, apps · Missing: mobile apps, ios, entrepreneurs60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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, cryptocurrency4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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