Discover your true MBTI by having your friends take the test for you

Hacker News

I’ve taken a bunch of personality tests over the years, but I keep getting different results every time. It got me thinking – what’s a better (and more fun) way to really figure out who I am? Then I had an idea: wouldn’t it be way more accurate if the people who actually know me took the test for me? They probably see things about me that I might not notice. So, I created truembti.com – a website where your friends take the test for you, and you take it for them. I hope it’s a fun way to discover your personality type and have a good time with your friends in the process. Please check it out, and let me know what you think! P.S. I used Cursor to build the site, and it was a game-changer. It wrote over 90% of the code – highly recommend!

Visit product View on Hacker NewsSep 19, 2024

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Launch Intel predictions

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

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, code · Missing: mac, agents, macos

57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

43%43% 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

33%33% 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

14%14% 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.

Incorrect prediction on native model

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