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HowTruthful – help yourself and others think clearly

Hacker News

HowTruthful – help yourself and others think clearly

Thanks to Google eliminating all the roles under my engineering director this year, what once was a side project is, at least for now, my full-time gig. It's a tool for constructing persuasive, clear arguments while acknowleging opposing arguments. It's inspired by a combination of the conciseness of twitter, the simplicity of writing down pros and cons, and the flexibility of hypertext to let people dive as deep into a topic as they want to. I really think this can be a world-changing tool, and greatly appreciate any feedback you can give as you try it out. The "Intro" link at the bottom of the page opens an introductory video.

Visit productView on Hacker NewsNov 13, 2023
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Actual performance

2points
1comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, open · Missing: mac, agents, macos
72%72% 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, podcasting
69%69% 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
48%48% 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
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, google · Missing: mobile apps, ios, personal
41%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, revenue
15%15% 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, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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