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Personality Test Inspired by CG Jung

Hacker News

Personality Test Inspired by CG Jung

I designed a personality test based on the word experiments of CG Jung. I can see this as a coaching/therapeutic tool for individuals and couples. The physical card deck is here: https://www.thegamecrafter.com/games/critical-stimulus The printable version can be purchased on Gumroad: https://gumroad.com/l/criticalstimulus Working on an instructional video and will release that soon.

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Actual performance

5points
1comments
Did not reach leaderboard

Launch Intel predictions

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AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, video · Missing: mobile apps, ios, entrepreneurs
41%41% predicted probability of success on TrustMRR, 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
40%40% 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 HuntUnlikely to reach the leaderboard · Strong signals: physical · Missing: mac, agents, macos
16%16% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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