Interest Groups Around Places

Hacker News

Hi Guys, I have recently released an iphone app (old app but pivoted to a different idea). The app has a limited set of features and also limited feature set website (http://www.findero.us), but would like to test it out if users like the idea. The idea is to fulfill the need to create your own location specific interest groups. You can create your open/closed groups around a location or join other such groups. The app is available for download at: https://itunes.apple.com/us/app/finderous/id520384764?mt=8 The app can be easily used for the following cases: 1. Weekend cycling group. 2. Residential community group. 3. Local Gym group. 4. Car pool group. and many more such groups. I would appreciate some feedback. Thanks

Visit product View on Hacker NewsJan 30, 2013

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best fitHighest predicted score across all platforms for this description.

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

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

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

37%37% 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 · Strong signals: apple, user, open · Missing: mac, agents, macos

34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% 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.

Correct prediction on native model

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