Servitor – A TUI Fediverse browser that doesn't require a server

Hacker News

This is a program I have been working on that allows you to interact with the Fediverse in the same way you interact with RSS feeds. That is, you subscribe to people by adding them to a local subscriptions list, and then their feeds are pulled down and spliced together on your local machine. The benefit of this approach is mainly that you don't need a server, so you don't have to worry about losing your curated feeds because of your server going down, and you don't have to worry about defederation politics, because each post is pulled from its source site. Although it is controversial, I am also thinking about indexing posts and serving them in the form of a search engine and/or algorithm (kind of like the front page of Reddit/HN), and hooking this client into the service (configurable and optional of course). If you are already working on something like this I'd be curious to hear about it. Let me know what you think.

Visit product View on Hacker NewsJul 10, 2023

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

76%76% 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

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

66%66% 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: way · Missing: mobile apps, ios, personal

44%44% 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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

16%16% 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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