Real-Time System That Tracks How News Spreads Across 200k Websites
Mood
informative
Sentiment
positive
Category
startup_launch
Key topics
It uses Snowflake’s Arctic model for embeddings and HNSW for fast similarity search. Each “story cluster” shows who published first, how fast it propagated, and how the narrative evolved as more outlets picked it up.
Would love feedback on the architecture, scaling approach, and any ways to make the clusters more accurate or useful.
Live demo: https://yandori.io/news-flow/
Discussion Activity
Light discussionFirst comment
7m
Peak period
1
Hour 1
Avg / period
1
Key moments
- 01Story posted
Nov 25, 2025 at 8:27 PM EST
1d ago
Step 01 - 02First comment
Nov 25, 2025 at 8:34 PM EST
7m after posting
Step 02 - 03Peak activity
1 comments in Hour 1
Hottest window of the conversation
Step 03 - 04Latest activity
Nov 26, 2025 at 5:09 AM EST
16h ago
Step 04
Generating AI Summary...
Analyzing up to 500 comments to identify key contributors and discussion patterns
Discussion hasn't started yet.
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