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boringhusband

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How I score AI company growth momentum 0–100 from public information

FirstSignal (https://firstsignal.top) publishes one number per company per day: a 0–100
growth-momentum score built only from official public information.

The five components and their weights

Component Weight What it captures
AI demand 30% disclosed demand signals: bookings, backlog, sold-out capacity language
Capacity 20% announced buildout: data centers, supply agreements, deployed capacity
R&D 20% disclosed R&D spend and shipped technical milestones
Sales 15% reported revenue trajectory and sales-motion disclosures
Expansion 15% new markets, new segments, partnerships and geographic expansion

Why weight it this way

Demand is the earliest and least ambiguous signal that an AI business is compounding, so it
gets the largest share. Capacity and R&D are the commitments a company makes when it believes
its own demand. Sales confirms it more slowly, and expansion is real but noisiest.

Pipeline

  1. Pull official public sources only: company press releases, filings, official announcements.
  2. Extract component-level evidence per company per day.
  3. Normalize each component to 0–100, apply the weights above, publish the blended score.

What it is not

  • Not a price forecast, not investment advice. It measures operating momentum, not the stock.
  • Not a fitted model — the weights are explicit judgement calls, published so you can disagree.
  • Not broad coverage yet: live for ABBV, CRWV and ALAB while the pipeline is validated.

Live scores: https://firstsignal.top (the site is .top — firstsignal.work is not mine)

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