Li

Little site to help connect the people on your street together

Hacker News

Little site to help connect the people on your street together

Sooo I got to thinking about how I don't really want to be FB friends with the people on my street, but that it would still be pretty useful to be able to chat about local issues with my neighbours. https://streetmates.net This idea probably isn't going to appeal to HN much. It's not very revolutionary. But there sort of seems to be a bit of a gap for this level of geographically-close, online communication. I'm thinking of approaching the marketing side of it with small flyers in people's mailboxes, just keep it small, target a street at a time, so that there's a bit of localized inertia in the signups. It definitely has the chicken-and-egg problem (i.e. why would I sign up when no-one on my street has signed up). If anyone's got any comments, ideas or feedback - then please shout out. There's no monetization strategy behind it (yet), and I very much like the idea of helping to facilitate the creation of little street communities.

Visit product View on Hacker NewsJul 5, 2019

Actual performance

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

56%56% 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

53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

40%40% 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

36%36% predicted probability of success on AppSumo, 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

35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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