How QAlpha works
QAlpha turns the digital exhaust of thousands of companies — the software they adopt, the roles they hire, the tools they build with, and the datacenters they break ground on — into early, structured signals on the companies you follow.
The four signals
SaaS vendor adoption
Which companies start and stop using thousands of software products — a direct read on a vendor's growth and churn, before it shows up in reported revenue. Split by customer size, with named enterprise wins and losses.
In the app: Open any vendor to see net adds vs. churns over time, the size mix, and recent enterprise movements.
Hiring momentum
Job-opening trends crawled directly from corporate career sites. See which public companies in tech, semis, and telecom are accelerating or decelerating hiring quarter-over-quarter — an early read on where budgets are going.
In the app: The Hiring tab ranks companies by QoQ change in new openings; drill into any company for its full hiring history.
AI-tool traction
Two independent lenses on the AI race: who is hiring for a tool (mention share across millions of job postings) and who is actually using it (installed-base signals). Compare assistants and infrastructure side by side.
In the app: The AI tab shows the assistant race and adoption leaderboards; toggle any dashboard race between hiring and adoption.
Datacenter buildouts
Where operators are breaking ground, inferred from construction, commissioning, and facilities roles in job postings — then mapped to a lifecycle phase from site selection through operations, by operator and region.
In the app: The Datacenters tab tracks buildout momentum, phase mix, top operators, and the metros where capacity is landing.
Getting started
Search anything
Press ⌘K and type a company, ticker, or product. Results come back grouped so each takes you straight to the right view.
Follow the tabs
Vendors, Hiring, Products, AI, and Datacenters each turn one raw data stream into ranked, charted signals you can act on.
Go deep
Every company, vendor, and product has its own page with full history and price overlays. Data refreshes daily.
How the data is made
Signals are derived from publicly observable sources — company technology footprints and millions of job postings — and refreshed daily. Some signals (such as datacenter buildout classification) use large language models to extract structure from unstructured text, so they are estimated and directional rather than exact. Treat QAlpha as an early indicator to investigate, not a substitute for your own diligence. It is not investment advice.
Ready to dig in?
3-day free trial, then $2,500 / year. Cancel anytime before you're charged. Teams and multiple seats available.