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Velum

Trend intelligence

Signal

An intelligence terminal that predicts which ideas are about to go mainstream.

Built for · Brand, research and strategy teams

Demo with sample data

What it does

How Signal works.

The system ingests public signals from Reddit, YouTube and prediction markets, and uses model-orchestrated reasoning to forecast which micro-trends will cross into the early majority, with confidence bands. Consent is built into the architecture, and it refuses queries aimed at manipulating individuals.

  • Many sources, one view

    Discussion forums, video platforms and prediction markets are ingested continuously into one timeline.

  • Trends with confidence

    Each emerging trend carries an adoption curve and a confidence band, not a single guess.

  • Explained forecasts

    Every prediction shows the signals behind it, so analysts can argue with it.

  • Consent as architecture

    Only consented data is used, and queries aimed at manipulating individuals are refused.

Screenshots

Inside Signal.

Signal: Signals streaming in from several sources

What it proves

Multi-source research agents that watch public signals continuously and turn them into calibrated, explainable forecasts behind a swappable model interface.

Where we apply it for clients

  • Market and competitor intelligence
  • Signal-based outbound
  • Demand and trend forecasting

Built with

  • Next.js
  • Postgres
  • Claude
  • Data connectors

Want trend intelligence in your business?

Thirty minutes. One real workflow. We will tell you what it would take.