a better way to browse Android Market

Hacker News

I made a search-engine that lets you find well-rated apps in Android Market. Not cool enough? It easily shows great apps not listed on the market main page. This is the only app that let you filter apps and games in entire market by rating, category, cost, rating count, downloads count and sort them in the way you like. Instead of browsing the endless lists of random apps (like all those 3,5-rated apps listed in "the best" category), specify your own, advanced search conditions. You can also try a set of interesting preset searches. Bring cool games into daylight and find some fresh apps, not yet listed on the main page. Bon appetit. Market (Google Play) link: https://play.google.com/store/apps/details?id=com.bylecosoft.market_search Facebook: http://www.facebook.com/pages/Delicious-Market/373442752696026 Google+: https://plus.google.com/117675916392406959251/posts

Visit product View on Hacker NewsApr 18, 2012

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Actual performance

6points

Did not reach leaderboard

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

72%72% 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: apps, google, way · Missing: mobile apps, ios, personal

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

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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

42%42% 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

26%26% 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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