The Meme Vaccine

Hacker News

The Meme Vaccine

Hi HN, My name is Sapiens. I started learning about Reason and Science well into my 30s. I'd be fair to say that the Skeptic and Humanist communities saved my soul. So I made a mind-calibration tool in service of the cause. It's an app that quizzes the user about myths and misconceptions. By exploiting the resulting cognitive dissonance, it helps retune the user's confidence levels in their beliefs and improves their mental models. The tool uses Brier's so-called "proper" scoring system, a ruthless squared-error-loss scale (Brier scoring is widely used by intelligence agencies to align their operatives' beliefs with reality). In my tests, 100% of users experienced a permanent reduction in truth bias (among many other benefits). Help champion truth and promote critical thinking. Get the Meme Vaccine now! iOS: https://apps.apple.com/us/app/meme-vaccine/id6444249109 Android: https://play.google.com/store/apps/details?id=sapien.dbnk.ap... Support: memevaccine.com

Visit product View on Hacker NewsJan 22, 2025

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Actual performance

6points

Did not reach leaderboard

Launch Intel predictions

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

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Strong signals: ios, apps, google · Missing: mobile apps, personal, entrepreneurs

65%65% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: model, apple, google · Missing: mac, agents, macos

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

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

35%35% predicted probability of success on AppSumo, 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

25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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 · 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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