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Fediverser Portal – Bring your subreddits to Lemmy

Hacker News

Fediverser Portal – Bring your subreddits to Lemmy

This is my attempt at helping those who are trying to ditch reddit but have not been satisfied with the content from Lemmy or haven't been able to find the corresponding communities. There are two sides to this project. The first one is that I have setup a Lemmy instance (alien.top) which is mirroring some of the reddit content from subreddits that I wanted to follow with the comments . The difference from most mirroring bots is that, instead of one single bot account mirroring all content, the system creates one account for each reddit user that is being mirrored. The other part of this idea which I believe is more interesting: reddit users can take over their own mirrored bot account on this Lemmy instance. The instance itself does not use the regular registration process, but instead authenticates via Reddit OAuth. If you login through through the "Portal", we can then grab your subscribed subreddits and (when it can) find the corresponding Lemmy communities and subscribe you to those automatically. At the moment there are not that Lemmy communities that are being mirrored because I've been the sole user, but hopefully if more people sign-up, it will help to create the network effects and more instance admins will be interested in hosting these "fediversed" communities. All of the code is open source ( https://github.com/mushroomlabs/fediverser ) and I'm more than willing to help people getting their own instances if they don't want to use alien.top itself. Questions and any type of feedback is always welcome!

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, single, code · Missing: mac, agents, macos
86%86% 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
76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released
71%71% 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 · Strong signals: users, way · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, users · Missing: plus, platform, intuitive
35%35% 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
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.

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