Skip to content

Latest commit

 

History

206 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 

Repository files navigation

Stellar Ecosystem Feeds

Per-project RSS feeds for the Stellar blockchain ecosystem, auto-generated from Lumen Loop's article database.

Structure

feeds/
  abroad.xml
  allbridge.xml
  aquarius.xml
  ...

Each XML file is a valid RSS 2.0 feed with:

  • Full article content in <content:encoded>
  • Publication dates, authors, and images
  • Self-referencing <atom:link> for feed readers

Stats

  • 79 project feeds
  • 343 articles matched
  • 3 articles per feed (most recent)

How Articles Are Collected

The current system uses AI-powered crawling to discover blog pages and extract articles along with their metadata (title, author, date, images). The crawler visits project websites, identifies blog sections, and processes each article through a content pipeline that ensures relevance to the Stellar ecosystem.

Articles are sourced from:

  • Project websites — AI crawling discovers blog pages and extracts articles with metadata
  • Medium / Substack — matched via project blog links and publication profiles
  • Twitter/X articles — matched via project Twitter accounts

All articles must mention Stellar ecosystem keywords (stellar, xlm, soroban) and have been processed through the content pipeline before being included in feeds.

Usage

Subscribe to any feed using the raw GitHub URL:

https://raw.githubusercontent.com/lumenloop/stellar-ecosystem-feeds/main/feeds/{project-slug}.xml

Example for Abroad:

https://raw.githubusercontent.com/lumenloop/stellar-ecosystem-feeds/main/feeds/abroad.xml

Updates

Feeds are regenerated via the directory-sync pipeline. Each run diffs against the existing feeds and only commits changes.

Legacy System

This repo previously used RSS-Bridge with custom CSS bridges to generate feeds. Each bridge was manually configured with CSS selectors to scrape article content from project websites — for example using CSSLostDateBridge with url_selector, content_selector, and date_selector parameters. The old bridges can be found in the rss-bridges/ folder for reference. The current system replaces this with automated AI-based article discovery and matching from our centralized content pipeline.

Related

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages