Hey everyone, 👋
I left the big social feeds because the recommendation algorithm kept serving me the same thing many times over, plus a steady supply of outright garbage. So I did what a lot of you did: went to RSS, where I pick the sources.
That fixed the inputs. It did not fix the reading.
Once you are past thirty or forty feeds, a purely chronological timeline stops being usable. The usual answer is more folders and more filters — which is me doing an algorithm's job by hand, badly.
Sitting with that for a while, the conclusion I reached was that the algorithm is a fixable problem now, for a reason that did not exist a few years ago: you can hand an AI a sentence about what you want and have it come out as a real change to a ranking function.
So: your own sources, and your own algorithm on top of them. That is the thing I built.
What it does
- Retune the ranking by saying it: "less crypto", or "more AI research". Tell your feed what matters. It re-ranks on the spot. Use AI agents to retune ranking in plain language.
- The ranking core is open: MIT, zero dependencies, at https://github.com/Feedpik-app/Algorithm The server imports that package directly, so the scoring you'd be subject to is the scoring you can read.
- AI helps you find feeds. Cold start is the other thing that keeps RSS niche. Ask for sources on a subject and it proposes them.
- Your own agent (Openclaw, Hermes, Codex, Claude Code, etc.) can drive all of it over an API, MCP or CLI, using your model quota rather than mine.
Other useful features
- Newsletter Reader — An email address just for newsletters, so they leave your inbox and sit with your feeds.
- Daily Briefing — A summary of each story that mattered today.
- Trending Radar — Surfaces the stories heating up.
- AI Summary — Get the gist of a long piece in seconds
- AI Translate — Read anything in your own language
- AI Explain — What an article is about and why it matters, in plain language, when the field is new to you
- Ask AI — Ask questions about the piece you're reading and get answers drawn from it.
The awkward parts, up front
- The app by now is closed source and hosted. * Where it's headed is a desktop version that runs entirely on your machine — your data, your algorithm, your API key or a local LLM — open source and free. It does not exist yet, and it comes after the hosted version.
- A lot of this isn't finished. The paid tiers aren't open yet, which means the features behind them aren't available yet. Finishing them is what I'm working on.
You can check it out here:
https://feedpik.com/
I would love to get your feedback, feature suggestions, or any bug reports! Thank you for checking it out.
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