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Immersive Communities a Social Media Platform for Content Creators

Hacker News

Immersive Communities a Social Media Platform for Content Creators

Hi everyone, I’m Mario, the creator of Immersive Communities. I’ve been working in my spare time as s solo-developer on this project for the last 4 years and finally completed it last month. Immersive Communities is a social media platform for content creators where they can create and monetize their own communities and collaboratively write articles about their interests. Each community can be monetized with Member Subscriptions and Self-Service Ads. Payments have been implemented with Stripe. A user can register a community from the main page and it will be available on the subdomain of his choice. I chose the PWA-first approach so each community is installable on desktop or mobile and behaves as a full-screen app. Feel free to check it out and let me know if you have any questions.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, stripe · Missing: mac, agents, macos
87%87% 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
67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
39%39% 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 · Strong signals: subscription · Missing: arr, mrr, revenue
21%21% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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