Human-verified, point-in-time web data for investment teams. Hiring velocity, salary trends, and workforce signals: ticker-mapped, compliance-documented, built for backtesting.
The Problem
18 to 27% of online job listings are ghost jobs. Aggregated data sources count them as real demand. Your model reads phantom hiring surges. The expansion signal that looked compelling in backtest evaporates in live trading.
Some vendors quietly correct historical records after delivery. Your backtest uses data that wasn't available at the time. Your compliance team calls it look-ahead bias. The strategy that worked on paper never existed in reality.
The Data Product
The full technical specification, rendered like a data dictionary your data team can evaluate.
Sample Data
This is what arrives in your stack: structured, source-traceable, and human-verified.
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{
"ticker": "CRM",
"company": "Salesforce",
"signal_type": "hiring_velocity",
"period": "2026-Q1",
"value": "847 net new postings",
"change_qoq": "+12.4%",
"department": "R&D / Engineering",
"geography": "United States",
"source_count": "31 boards plus ATS career site",
"point_in_time_date": "2026-03-31",
"methodology": "ghost-job filtered, deduplicated, human-verified",
"verified_at": "2026-06-21"
}Sources & Coverage
New postings per week by employer, department, geography. Net posting change (opens minus closes). Updated daily, ticker-mapped.
Posted compensation by role, geography, and employer. Tracks wage inflation/deflation at the company level.
Extracted skills from job descriptions, mapped to taxonomy. Tracks which technologies, certifications, and capabilities employers are investing in.
Department-level hiring patterns (engineering vs sales vs operations). Ratio shifts signal strategic changes months before they hit investor presentations.
Who Buys This Data
Track hiring velocity at target companies. A sustained posting surge in R&D signals product investment. A freeze in customer-facing roles signals contraction. Weekly signal, ticker-level.
Aggregate hiring trends by industry and geography. Identify sector rotation, regional growth shifts, and skills-demand waves before they appear in BLS data. Monthly signal, sector-level.
Assess target company workforce health: headcount trajectory, department composition, attrition signals, salary competitiveness vs peers. Pre-deal and post-acquisition.
Monitor competitor hiring in real time. Which companies are staffing up in AI? Who's cutting sales teams? Where are talent clusters forming?
How It Works
Tell us what you need, from which sources, in what format. We handle feasibility and scheduling.
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Our AI engine crawls any source. JavaScript-rendered sites, PDFs, APIs, dynamic content. Handles pagination and bot detection.
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Every record goes through human QA. Our analysts check accuracy, flag anomalies, confirm source. 98%+ verified accuracy.
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Clean data flows to your stack. REST API, S3, Snowflake, webhooks, Google Sheets, CSV. On your schedule. Logged and retried.
Learn moreStage 1 of 4: Scope
How It Compares
| Capability | Revelio Labs | LinkUp | Thinknum | Crawlify |
|---|---|---|---|---|
| Human-verified | No | No | No | yes, every batch |
| Accuracy guarantee | not published | not published | not published | 98% verified |
| Point-in-time integrity | yes, monthly from 2008 | yes, daily from 2007 | Yes | yes, from inception |
| Ticker-mapped | extensive | 10,000+ | extensive | 3,000+ |
| Niche board coverage | Limited | none | Limited | 30+ boards |
| Compliance documentation | partial | partial | partial | yes, full audit trail |
| Custom signals | limited | No | Limited | Yes |
| Mid-market pricing | $85K/yr | enterprise custom | $16.8K/user/yr | $50K to $250K/yr |
Use Cases
You tell us which tickers, which signals, and what history depth you need.
We scope coverage and deliver a sample dataset of 2 to 4 weeks of data covering 20 to 50 tickers.
You backtest. If the signal holds, we scale to production.
Daily delivery via S3 or Snowflake, with compliance documentation. Pilots start at $5,000. Production: $50,000 to $250,000/yr depending on coverage and signal depth.
Hiring velocity, salary trends, skills demand, and workforce composition signals: all derived from human-verified job posting data.
Tell us which tickers, signals, and history depth you need. We scope coverage and deliver a sample dataset (2 to 4 weeks of data, 20 to 50 tickers). You backtest, and if the signal holds we scale to daily production delivery via S3 or Snowflake with full compliance documentation. Pilots start at $5,000. Production delivery runs $50,000 to $250,000/yr depending on coverage and signal depth.
No credit card. No commitment. Just clean data.
