Project Maya

Hacker News

Project Maya

Project Maya has started! For those who haven't read about Maya, please look here: http://news.ycombinator.com/item?id=4103344 Our goal is to build an open source application that can run in your browser and on iOS/Android without being dependent on app stores. We currently have a working "sneak preview" version viewable over here: http://frontend2.com Want to dig into the source? https://github.com/SchizoDuckie/project-maya We recommend you to check it out in Google Chrome/iOS/Android. Our team currently consists of 5 people. If you think you'd be a good addition, please shoot me an email, sam.granger@gmail.com Feedback so far is more than welcome!

Visit product View on Hacker NewsJun 21, 2012

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Actual performance

88points

43comments

Made the leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, new, email · Missing: mac, agents, macos

84%84% 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.

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

72%72% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

29%29% 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

27%27% 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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