CategorizeContacts util for Android

Hacker News

I found the Groups feature of the default Android People app not quick enough and a bit bloated. As a sort of exercise, I decided to implement one app that does the kind of job I need: create contact categories, add contacts to them, browse them and call contacts in 2 clicks. What came out is the skeleton of an open-source app hosted on github (link in comment below). This is not a commercial product by any mean, nonetheless I would like to meet some kind of "open-source" designer to give it a simple style and a nicer graphics, and then publish in on the Play Store to see if someone else finds it as useful as I do. Anybody who would like to spend a couple of hours on this is welcome to drop me a line (forks are welcome too!).

Visit product View on Hacker NewsFeb 19, 2013

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

73%73% 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.

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

46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · 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

22%22% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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