AuraTracer智迹闻
中文

About AuraTracer

Aggregating multi-source coverage · Faithful, traceable summaries · Integrated timelines that show the full picture

AuraTracer is an open-source engine for in-depth tracking of tech events: it aggregates multi-source public coverage, produces faithful, traceable summaries for each article, groups articles about the same event into a single event page, and reconstructs the full picture with a structured frame and an integrated timeline.

How it works

  1. Fetch: pull RSS feeds / web pages declared by topic packs on tiered schedules (hot sources every 5 minutes, the rest 10-60 minutes; WeChat public accounts use a pluggable adapter, disabled by default);
  2. Screen and annotate: a low-cost LLM judges relevance and outputs category, entities, importance and structured signals;
  3. Same-event clustering: entity alias normalization / embedding similarity merged with deterministic rules;
  4. Faithful summaries and event framing: inverted-pyramid summaries, ≤300 characters, facts only from the source text; heavily-covered events are synthesized into a structured timeline (type / key figures / stage narrative);
  5. Static site: hostable on GitHub Pages / Cloudflare Pages, with self-owned data.

Compliance and copyright

Subscribe

RSS 2.0 feeds are available for the whole site and per category (titles and links only, 12-hour window). Import the OPML file to subscribe to everything at once:

Contributing

Contributions of new topic packs (sources + taxonomy + entity aliases, one YAML file) and source adapters are welcome. Repository: GitHub (set site.repo_url in auratracer.yaml)