Evidence-backed analysis on market indicators and category movement.
Structured evidence for readers who want more than a confident opinion.
Data Briefs turn quieter indicators into readable intelligence: pricing clues, distribution patterns, hiring confidence, and the details that often move before the headline does.
Pricing, hiring, distribution, positioning, and the signals hidden in public data.
A faster route from evidence to interpretation for operators and investors.
Hiring
AI Engineer Postings Are Up 143%. Entry-Level Hiring Is Down at 1 in 4 Companies.
LinkedIn's fastest-growing US job title in 2026 is AI engineer, up 143 percent year over year, while Gartner found 22 percent of CHROs have a leader who has frozen entry-level hiring over automation. The data shows founders are not cutting junior roles outright, they are redefining what juniors are for.
Recent Data Briefs
The latest data-driven coverage, translating market indicators into actionable intelligence.
Customers Cancel Weeks Before They Say So: The Behavioral Signals That Predict Churn
The Markets Desk
September 24, 2026
The Build/Buy Ratio Flipped: 76% of Enterprise AI Is Now Purchased
The Playbook Desk
September 3, 2026
Which Startup Metric Actually Matters Depends on Your Stage
The Data Desk
July 30, 2026
The AI-Native Org Chart: Fewer Managers, More Senior Engineers, Same Headcount Fight
Rajiv Sankarlall
July 14, 2026
Usage-Based vs. Per-Seat Pricing: The Retention Numbers That Should Decide It
The Data Desk
July 11, 2026
What Job Postings Reveal About Strategic Priorities Before Any Announcement
Rajiv Sankarlall
April 17, 2026
Previous data briefs covering pricing, hiring, and market indicators across categories.
Data Brief
Churn Signals That Appear in Support Data 90 Days Before the Customer Leaves
Analysis of support ticket patterns across 180 SaaS companies reveals consistent behavioral signals that appear 60-90 days before cancellation. Most companies are not instrumenting for them.
Data Brief
What Conversion Rate Data Reveals About ICP Drift
ICP drift is one of the most expensive problems in SaaS because it is invisible until it has already degraded the entire funnel. Conversion rate data catches it earlier than anything else.
Data Brief
What Job Postings Reveal Before the Announcement
A company's job postings are one of the most reliable leading indicators of strategic direction. Most people read them too late.
Data Brief
The Signals That Show Up Before a Series B Becomes Possible
Series B fundraising is not primarily about the pitch. It is about whether the underlying signals in the business justify the commitment. These are the metrics, behaviors, and patterns that precede successful Series B rounds, visible months before the process begins.
Data Brief
What Job Postings Tell You About Your Competitor's Next Move
Every strategic decision a company makes eventually shows up in a job posting. Product direction, GTM evolution, market expansion, platform ambitions, all of it is encoded in the roles companies are hiring for before they announce what they're building.
Data Brief
The Hiring Patterns That Signal a Company Is About to Break Out
Before a company shows up in the press, before it announces a round, before it releases a product, it hires. The hiring patterns that precede breakout growth are consistent, identifiable, and almost completely ignored by the founders who would benefit most from tracking them.
Data Brief
How Pricing Tiers Determine Category Outcomes
Pricing tiers are not just packaging decisions. They encode a theory of customer value, a theory of expansion economics, and a theory of competitive positioning, all at once. The companies that get this right at early stages build moats that are nearly impossible to dismantle later.
How this section earns its place.
Data is not here to decorate a narrative. It is here to tighten it, challenge it, or reveal something the surface story misses.
Interpretive
A data brief should explain why the signal matters, not just show that it exists.
Readable
Operators should be able to move through it quickly and still carry away the key point.
Primary Where Possible
Original data collection and first-hand observation over third-party aggregation.