Socratify: Learn by Debating – critical thinking coach

Hacker News

Socratify is an AI coach for early stage professionals to sharpen their critical thinking and verbal communication skills Ever since ChatGPT came out, I've been using it to debate and learn new ideas. Having a short insightful conversation where AI coaches you can be powerful but it's hard to get right with a general purpose chat LLM because they don't propose stories, lack context and don't track progression I'm building Socratify with the hypothesis that a product built around AI questioning humans and proposing interesting questions daily can be 100x more rewarding than book summaries and other passive content. Inspired by Charlie Munger's concept of a latticework of models that you apply to new situation. Socratify teaches you a concept (e.g., Disruption), discusses a situation where it's applicable, (e.g., Google vs. Perplexity) and gives you feedback as well as the strongest counterargument Checkout the first release at https://www.socratify.com/ Appreciate thoughts from the HN community and would love to learn what you would want from an AI coach that makes you better every day (Note you have to sign up to use but 5 stories are free)

Visit product View on Hacker NewsDec 16, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, google, new · Missing: mac, agents, macos

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

73%73% predicted probability of success on Indie Hackers, 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 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.

TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

45%45% 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, revenue

20%20% 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, reward · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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