Dimple – A Hacker News Reader for Android

Hacker News

I updated my hacker news client and released the new version as a beta. Now it display the news items in "Google Now story card" style (There are thumbnails for articles too). Few new features like automatically loading items while scrolling, News article sharing are also implemented in this version. Screenshot : http://i.imgur.com/aaVmqJz.png G+ Community Page : https://plus.google.com/communities/118167818139031156233 Blog post : https://kasungamlath.com/2015/07/24/Dimple-Hacker-News-Reader/ Appreciate if you can give it a try. Any feedback is appreciated, thank you!

Visit product View on Hacker NewsJul 24, 2015

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Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

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

63%63% 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.

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

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: plus · Missing: platform, intuitive, reviews

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

40%40% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

27%27% predicted probability of success on TrustMRR, 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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