Co

Computational peacenut RAG bot, async self-proxy

Hacker News

Computational peacenut RAG bot, async self-proxy

Although this borders on promotion, sharing this piece seemed like a natural place to start with my involvement in the HN community. I hope at least you find the content intellectually stimulating. This is a composite conceptual art piece. The thing is a chatbot, RAG, that polls the rough draft manuscript of a weird book I wrote outlining my particular pet grandiose vision of a computational global peace system. I use the thing to talk to myself and work through hardest-problems. I offer it to others in my life to talk with a (very bombastic) version of me, asynchronous-like. Suggested test prompt: Who are you, and how do you define peace? In least-case, I hope I succeed in distracting you from your Monday drudgery, if you happened to be in need of that. Feedback much-appreciated. May peace be your process, Wilder (If my openAI credits run out, sorry. This thing isn't exactly cheap, and I'm not exactly rolling in cash rn.)

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TrustMRRFits verified-revenue profile · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: openai, open · Missing: mac, agents, macos
52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

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