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Less‑filtered LLM chat and API
Hacker NewsLess‑filtered LLM chat and API
Abliteration.ai A less‑filtered LLM chat and API aimed at developers who are tired of “I’m sorry, I can’t help with that” for legitimate use cases. What’s there today: – Web chat interface – /v1/chat endpoint with simple JSON payload – Instant API keys + small free tier – Quickstart examples in curl I’d really appreciate feedback on: – The offering - API design / DX (what feels rough?)
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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos73%73% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting29%29% 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, intuitive26%26% 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, cryptocurrency13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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