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brainturk.com - variants of cognitive tests

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brainturk.com - variants of cognitive tests

I have been working on a pet project of mine http://brainturk.com , These games are mostly taken from various research papers and I have implemented them in HTML5 . What do you think we should focus on next , working on existing games to add features , better graphics or add more games or work on the progress section ?. I have been thinking of adding a section for kids (under 15) where some of the games can be linked and maybe change some graphics and make the levels easier to start with Please let me know if you think of any suggestions on how to improve the product and also any ideas are appreciated

Visit product View on Hacker NewsJun 1, 2012

Actual performance

19points

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

67%67% 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 · Missing: mac, agents, macos

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

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

34%34% 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

16%16% 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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