Turn a firehose of feeds into structured intelligence.
Noise Distiller ingests dozens of sources — feeds, channels, YouTube transcriptions — correlates related events into clusters, and generates briefings with source lineage. Research monitoring that reads like intelligence, not a timeline.
Following the field is
a full-time job you don't have.
The information exists — spread across RSS, newsletters, forums, and hours of video. What's missing is the layer that says: these twelve items are one event, and here's why it matters to you.
Dozens of feeds, each with its own noise floor. Nothing connects them.
One announcement becomes twenty takes. Reading them all teaches you nothing new.
Hours of talks and benchmarks locked in video no reader can skim.
AI digests that can't show where a claim came from can't be trusted with decisions.
From items to events.
From events to briefings.
The pipeline ingests everything, clusters what belongs together, and writes briefings that carry their lineage — every claim traceable back to the sources that produced it.
Feeds and channels, plus YouTube transcription — video becomes searchable text alongside everything else.
Related items across sources merge into one event with its full picture, instead of twenty duplicates.
AI-generated intelligence briefs where every claim links back to its sources — verifiable, not vibes.
A pipeline that turns clusters into artifacts — comparable, replayable, and ready to act on. Advisor and monitor workflows keep watch between briefings.
same story × 12 →
2h video, no notes →
skimmed, forgotten
correlated clusters →
briefing + lineage →
synthesis artifact →
decision-ready
Firehose to briefing,
in six stages.
Each stage is a real pipeline step with stored state — not a one-shot summary prompt over whatever was in the tab.
Feeds, channels, and YouTube pulled continuously.
Video becomes searchable text with the rest.
Related items merge into events across sources.
AI briefings generated with source lineage.
Clusters become artifacts — replayable, comparable.
Advisor and monitor workflows keep standing watch.
An intelligence platform,
not an RSS reader.
FastAPI backend, SvelteKit front end — the full path from raw source to standing intelligence.
Feeds and channels pulled on schedule into one normalized store.
Talks and benchmarks become searchable text with overviews.
Cross-source events instead of duplicated timelines.
Intelligence briefs generated per cluster, with lineage attached.
Every claim traceable to the items that produced it.
Clusters resolve into artifacts — replayable and comparable over time.
A scheduled brief lands without anyone opening a feed reader.
Standing workflows that watch topics and flag what changed.
Real screens.
Real sources.
The intelligence view and the YouTube pipeline — transcription in, structured overview out.
One cluster.
A briefing you can check.
A cluster resolves into a brief with stance, evidence, and lineage — the difference between "I read something about that" and intelligence.
Noise Distiller is standing intelligence over your field — not a feed reader, not a bookmark pile, not a daily digest bot.
It is the layer for people whose edge depends on knowing what actually changed — with the sources to prove it.