Articles
Data-backed commentary on market gaps, unsolved problems, and builder opportunities.
Your Longest Customers Are Building Their Own Fixes — And That's Your Problem
Your most loyal customers are secretly building workarounds with AI agents. Our data shows 47 reported problems with support degradation for long-tenured accounts — and the root cause isn't just neglect, it's incentive structures that reward new logos over retention.
Deterministic AI is the Only Kind That Matters for Pricing
Nue's CPQ demo at SaaStr showed AI that doesn't guess. Our data confirms that pricing errors and discount abuse are rampant. The real insight: deterministic AI built on a pricing engine that enforces guardrails is the only kind worth shipping in revenue workflows.
Helply's Outcome Pricing Looks Brilliant — But the Data Whisperer Is in the Room
Helply's free-for-seats, pay-per-outcome model is the boldest B2B support play in years. But our dataset of 340+ support pains reveals the real bottleneck isn't pricing — it's data quality. For builders and investors, that's the signal to watch.
The $4 Trillion B2B Bifurcation: What the Macro Optimists Miss About Micro Pain
Jason Lemkin makes a compelling case that B2B isn't dead—it's bifurcated, with winners growing 60%+. But our data on AI agent integration, hallucination, and ROI measurement shows the micro-level pains are still acute. Here's what builders need to solve to capture the next wave.
The Blame Game Won’t Fix Your Growth: Why Product Velocity Is the New Sales Lever
The old playbook of firing the VP of Sales when growth slows is outdated. A SaaStr article nails why product velocity now matters more, but the data shows a deeper issue: sales-product misalignment. Here’s what to actually do.
The API Is the New Feature Request: What Jason Lemkin Missed About Agents and Incumbents
Jason Lemkin's latest SaaStr piece is full of gold: customers asking for APIs, tragedy apps stuck in time, and why agents will delete your DB. But our data from real builders reveals even more—including which categories are ripe for disruption and why the API report card only tells half the story.