RSS Feed Reader

Subscribe to feeds, get AI-generated digests, bookmark what matters, and search everything - all through your AI.

Stop doomscrolling. Start asking. Subscribe to the blogs, newsletters, and news sources you care about, and let your AI bring you the highlights.

See it in action: ask your AI to “run the RSS feeds demo” - a guided walkthrough on temporary data that cleans up after itself. More about demos.

What you can do

“Import the starter feeds.”

“What’s unread in my AI feeds?”

“Give me a digest of today’s news.”

“Search my feeds for anything about MCP or tool use.”

“Bookmark that article about vector databases.”

Your morning briefing, on demand.


Tools

Feed management

ToolWhat it does
subscribe_feedAdd an RSS, Atom, or JSON Feed by URL
unsubscribe_feedRemove a feed and all its items
list_feedsSee all your subscriptions, optionally by category
refresh_feedsFetch new items from one or all feeds
import_starter_feedsOne-click subscribe to a curated set of high-signal feeds
pin_feedPin a feed so it surfaces first in briefings
unpin_feedRemove a pin

Reading and briefings

ToolWhat it does
get_feed_itemsBrowse items with filters for feed, category, unread status, and pagination
read_feed_itemRead the full content of an item (marks it as read)
get_feed_briefingAn AI-ready briefing of recent items, grouped by category

Bookmarks

ToolWhat it does
bookmark_itemSave an item for later
remove_bookmarkRemove a saved item
list_bookmarksSee everything you’ve saved

Starter feeds

Not sure where to start? Run import_starter_feeds and you’ll get a curated collection of high-quality sources across these categories:

tech, startups, business, finance, product, design, engineering, ai, crypto, science, news

These are hand-picked for founders who want signal, not noise. Unsubscribe from anything that doesn’t fit. Add your own favorites.


How storage works

Feeds, items, read state, and bookmarks all live in your Supabase database alongside the rest of your FoundersOS data - no separate file or service to manage. Subscriptions and reading history sync across every device and AI client pointed at the same project, and your feed data is yours: it sits in standard Postgres tables you can query or export anytime.


Example morning routine

You: "Good morning. What's my unread summary?"

AI: You have 23 unread items:
    - AI: 8 items (The Batch, Simon Willison, Anthropic)
    - Startups: 6 items (Paul Graham, First Round Review)
    - Engineering: 5 items (The Pragmatic Engineer, ByteByteGo)
    - News: 4 items (Hacker News, Ars Technica)

You: "Give me a digest of the AI category."

AI: Here's today's AI digest:
    
    - Anthropic published a guide on building 
      MCP servers for enterprise use cases.
    - Simon Willison tested the new Claude model 
      on complex tool-use scenarios.
    - The Batch covered recent advances in 
      multimodal embeddings...

You: "Bookmark the Anthropic MCP article."

AI: Bookmarked.

You: "Search everything for 'vector database 
      performance'."

AI: Found 3 matching items:
    1. "Benchmarking pgvector at Scale" - ByteByteGo
    2. "When to Use Vector Search" - The Pragmatic Engineer  
    3. "Embeddings in Production" - Simon Willison

Tip: Pair it with Memory. Found something worth remembering? Ask your AI to store the key takeaway in memory: “Remember: that ByteByteGo article said pgvector handles 1M vectors well with HNSW indexing.” Now it’s part of your permanent knowledge base.