Anonymously share short messages and photos with people around you

Hacker News

Hello Hacker News! In the past few weeks I've been working on a side project that allows you to post anonymously a short message and a photo that is tied to your location. Other people can see posts around them in a radius of 1 kilometer. Posts are ephemeral and disappear after one day. That's all. It started as an exercise to try to write a geohash index and to try nodejs and Redis. I'm not sure if/how it could be useful. Maybe it could be used as a quick way of sharing something with someone next to you, or to leave a reminder for someone at a specific location. Or it could be abused in many creative ways. If you want to try it out, I'd be happy to get any kind of feedback. Thank you! Link: http://quagga.ml/

Visit product View on Hacker NewsJun 26, 2015

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

65%65% 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 NewsMay not resonate with HN audience · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released

49%49% 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: new · Missing: mac, agents, macos

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

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

30%30% predicted probability of success on TrustMRR, 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

20%20% 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.

Incorrect prediction on native model

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