Matched relevance
Holdings sit upstream, so the feed starts with what matters to the investor first.
Market signal intelligence
A warmer, sharper way to read insider conviction.
TickerBeacon filters SEC filing noise into ranked signals matched to what an investor actually owns, then turns each cluster into a clear next move.
Brand idea: midnight terminal surfaces, one ember accent, and utility-first language.
Why it lands
Built for the moment after a filing hits and before the noise flood starts.
The product is not trying to be a social feed or a research warehouse. It is a signal desk: capture, rank, explain, then move on.
Calm scoring
Signals feel ranked, not sensationalized, with just enough urgency to drive action.
Readable conviction
Every cluster becomes a short brief instead of another tab, spreadsheet, or filing maze.
Workflow
Portfolio in. Filing cluster out. Actionable queue on top.
The experience is meant to feel continuous: import a book, let the worker sweep fresh filings, then surface signals and alerts in one restrained workspace.
CSV holdings are cleaned, merged, and validated before they ever touch the signal feed.
Worker cycles upsert issuers, insiders, transactions, and fresh signal events into Postgres.
Ranked signals, alerts, and AI summaries arrive in a product surface that stays calm under load.
Launch direction
Brand on the front door. Operational clarity in the app. One system across both.
Brand language TickerBeacon is the signal flare, not the shouting crowd.
Interface mood Midnight surfaces, ember accents, serif headlines, utility-first product copy.
Next move