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I built a Chrome extension that detects logical fallacies using GPT-4
Hacker NewsI built a Chrome extension that detects logical fallacies using GPT-4
Code base is here https://github.com/clairefro/aribotle Screenshots and learnings in tweet https://twitter.com/clairefroe/status/1684692302843838464?t=... I experimented with a "Bring your own API Key" approach that I think is sufficiently secure. I'll Venmo $50 to whoever can hack my OpenAI API key
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Product HuntOn track for Day 1 leaderboard · Strong signals: openai, using, code · Missing: mac, agents, macos70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released65%65% 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting56%56% 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, intuitive47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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