Community Events - kpasa

Hacker News

http://lax.kpasa.co/ Hi, I needed a side project to teach myself Django & AWS but couldn't think of anything Earth-shattering to work on... After searching and coming up empty I decided instead to build the kind of events site I've been waiting for for about ten years. Though events sites are a dime a dozen, after all these years I still haven't found one I like. None seem to focus on what I want to know--what are the fun (and best) things to do today and this weekend? I'm wondering, can such a mundane site pay for itself? It's been fun implementing all the ways it could. I would appreciate some ideas on the premium services front. Also, would anyone be interested in renting the app for use in their city, on something like Amazon Marketplace? Finally, if it doesn't get traction on its own I'm thinking of open-sourcing it to see if hosting/consulting are a possibility. Would appreciate any thoughts, and thanks for your time. TL;DR - I've made an (events + reddit + meetup + gmaps mashup) prototype for fun and hope to turn it into something .

Visit product View on Hacker NewsJul 3, 2012

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

76%76% 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

62%62% 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 · 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 · Strong signals: host · Missing: plus, platform, intuitive

28%28% 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

15%15% 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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