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Create Groups for Mastodon

Hacker News

Create Groups for Mastodon

Hi all, I've had trouble adapting to Mastodon because your server is equated with your identity, but lots of servers are topic-oriented. To solve for that, I created this as a way to implement groups. You create an account and then whoever follows that account can @message them and then the account automatically boosts the original post. https://github.com/michaelcpuckett/ap-groups For context, first I built a mostly-working ActivityPub server in TypeScript/Node.js. I haven't quite figured out what to do as far as the client, but this seemed like a quick and easy solve for the groups issue. https://github.com/michaelcpuckett/activitypub-core

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Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released
65%65% 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 HuntUnlikely to reach the leaderboard · Strong signals: context, activity · Missing: mac, agents, macos
48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting
45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
31%31% 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
14%14% 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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