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Waterhole – modern community forum software

Hacker News

Waterhole – modern community forum software

Hey HN! I'm the original developer of Flarum[1] - open-source forum software. In 2019 I left Flarum because of burnout[2]. Generally speaking, I think open-source is a great fit for libraries[3], but less so for products. I wanted to be able to simplify the exchange: build a great product and sell it. It's been a few years but I'm excited to have just launched my follow-up project: Waterhole. https://waterhole.dev Waterhole is a modern, Laravel-powered discussion platform. It has a simple, extensible architecture; an inclusive, customisable design; and thoughtfully crafted features that streamline building healthy communities. It's made for brands, creators, and teams who want to build bespoke and tightly-integrated communities. It plays in the same space as Flarum, Discourse, and others. Waterhole is open source[4] and free to try locally, but you must pay for a license to run it in production. This business model allows me to focus on developing and supporting a great product, and creates an opportunity for the wider Laravel ecosystem to provide hosting, customization, and consulting services. Thanks for checking it out, feedback would be appreciated! Happy to answer any questions about the product, technical details, or anything else. Toby [1] https://flarum.org [2] https://discuss.flarum.org/d/20590-farewell-and-what-s-next-... [3] https://github.com/tobyzerner [4] https://github.com/waterholeforum/core

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
90%90% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, open · Missing: mac, agents, macos
75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, open source, ide · Missing: https docs, just released, exist
68%68% 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 · Missing: mobile apps, ios, personal
31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host · Missing: plus, intuitive, reviews
24%24% 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
13%13% 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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