I reached a breaking point with my daily reading routine. I realized I was spending more time filtering out "Top 10 Libraries" listicles, disguised marketing, and SEO spam on LinkedIn/Google than actually reading deep engineering content.
So, I built this aggregator to scratch my own itch.
Analysis: Runs every article through GPT-4o with a strict system prompt.
Scoring: Assigns a 0.0 - 10.0 Relevance Score.
It penalizes: "Hello World" tutorials, PR/Hiring announcements, clickbait titles.
It rewards: Architecture deep dives, post-mortems, and code-heavy content.
Current Status (Beta): The core filtering engine is live. The frontend hides low-score articles by default. I'm currently tuning the prompt to avoid false negatives (blocking good content) and false positives (letting fluff through).
I need your feedback:
Is the "Terminal" aesthetic usable or too much?
Do you see any high-quality articles being unfairly filtered out?
I'm the builder behind 0xFeed. Like many of you, I suffer from "Technical FOMO" but I'm tired of filtering through the noise of the "Dead Internet" — SEO spam, shallow tutorials, and generated fluff that floods LinkedIn and generic aggregators.
I built 0xFeed to be a high-precision noise filter for Senior Engineers, CTOs, and Tech Leads.
How it works (The Stack):
Ingestion: It monitors ~30 high-signal engineering blogs (Netflix Tech Blog, Uber, AWS, etc.) via Cloud Functions.
Analysis: Every article is processed by GPT-4o. I wrote a strict system prompt that penalizes clickbait, basic "hello world" tutorials, and PR/hiring announcements. It assigns a "Relevance Score" (0.0 to 10.0) based on technical density.
Delivery: The frontend (React + Vite) hides anything below a certain score threshold by default.
The goal is simple: Reduce 2 hours of daily reading into 5 minutes of high-signal consumption.
It's currently in Open Beta and completely free. I'm looking for brutal feedback on the scoring algorithm and the UX.
The stack is Firebase (Firestore + Functions + Auth), React, Tailwind, and OpenAI.
I'm the developer behind 0xFeed.
I reached a breaking point with my daily reading routine. I realized I was spending more time filtering out "Top 10 Libraries" listicles, disguised marketing, and SEO spam on LinkedIn/Google than actually reading deep engineering content.
So, I built this aggregator to scratch my own itch.
How it works:
Ingestion: Pulls from ~30 high-quality engineering blogs (Netflix, Uber, AWS, etc.).
Analysis: Runs every article through GPT-4o with a strict system prompt.
Scoring: Assigns a 0.0 - 10.0 Relevance Score.
It penalizes: "Hello World" tutorials, PR/Hiring announcements, clickbait titles.
It rewards: Architecture deep dives, post-mortems, and code-heavy content.
Current Status (Beta): The core filtering engine is live. The frontend hides low-score articles by default. I'm currently tuning the prompt to avoid false negatives (blocking good content) and false positives (letting fluff through).
I need your feedback:
Is the "Terminal" aesthetic usable or too much?
Do you see any high-quality articles being unfairly filtered out?
The project is free to use. No paywall.
Thanks for checking it out.