OpenDolphin – A Community Built Open Source Social Network

Hacker News

Hey HN! I'm trying to create a community of people that are willing to contribute to the OpenDolphin project. The goal of the project is to build an Open Source _centralized_ social network that would ideally compete with Twitter, Facebook and Instagram. The main difference between the well established social and this one would be that it is going to be built and managed in the public, in the most transparent way possible. Features will be implemented and requested by the community - and generally speaking everything would be community-centric. If the project takes off, this might become one of the most transparent companies / projects out there. If you fancy joining us, come say "Hi" on our Slack instance, and help us shape the next social network!

Visit product View on Hacker NewsNov 24, 2022

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

76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, ide · 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.

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

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

42%42% 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.

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

22%22% 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.

Correct prediction on native model

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