Churches + The Internet

Hacker News

Hey HN, wanted to introduce FaithStreet to you all. This has been a huge undertaking for us as we've brought together a huge trove of poorly organized information over the last year and built a service that connects thousands of people to churches across the US. Link: http://www.FaithStreet.com/ If you have ever experienced a church website or considered attending a church, you may have already realized that its a space sorely lacking decent tech. We don't think that faith and technology are mutually exclusive, and the 7000+ churches who have signed up in the last two months seem to be coming around as well. Would love your feedback. Much respect for the community that is HN. p.s. On Tuesday, PandoDaily covered us. Here's a link if you're interested: http://pandodaily.com/2012/11/27/startup-faithstreet-lives-at-the-corner-of-tech-and-christianity/

Visit product View on Hacker NewsNov 29, 2012

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

86%86% 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 NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released

73%73% 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 HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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