I built a self hosted recommendation feed to escape Google's algorithm
I created this chrome extension for myself where I track my own behavior locally and recommend myself content from platforms I want content from (youtube/twitter/quora/etc) in a feed. I made it public just in case anyone else was interested. I would rather have control over my own algorithm and own the data. Also, it gives me flexibility. Turns out I do like these feeds just not when I don't own it haha. Let me know what you think of my implementation?
In plain words
This Chrome extension creates a personalized recommendation feed by tracking user behavior locally and pulling content from platforms like YouTube, Twitter, and Quora. Users retain full control over their data and algorithm instead of relying on third-party services. It's designed for people who want curated feeds but prefer to own the underlying data and customize how recommendations work.
written from the facts on this page · September 2026
More growth this month
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AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.com
Launched alongside, July 2022
the whole month →
- PO
Life & fun · 2022 · justine.lol
- PO
Dev tools · 2022 · github.com
- PP
Hello, HN - I wanted to share this puzzle game I made during my vacation. I'm rather fond of the pipes puzzle where your goal is to restore a scrambled network of connections by rotating tiles. It's usually played on a grid of squares and this all started when I decided to make a programmatic solver for that kind of puzzle. Then I realized that with some minor changes the solver could generate new puzzle instances. I thought about what kind of puzzle to make and someone suggested a hexagonal grid. Adapting the generator wasn't too hard but then I had to create a way to play this variant. So…
Life & fun · 2022 · hexapipes.vercel.app
- PD
We're building Parsnip to create a "tech tree" of cooking skills that allows anyone to level up on the building blocks of cooking knowledge while tracking their progress over time. It took us a few iterations to figure out the right product; here's the story of our latest pivot: [https://parsnip.substack.com/p/a-new-hope] The goal is to create a personalized way to learn any recipe on the Internet, then use this as a springboard to help home cooks of all levels solve the problem of repeated meal planning in a 10x better way:…
Work · 2022 · parsnip.ai