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Cursor
Every piece of Zan Digital analysis that covers Cursor — 25 pieces, each figure traced to a named source.
- 001Cursor at $2B ARR: Fastest SaaS Ever or Most Fragile?Cursor doubled revenue in three months to $2B ARR and sought funding near $50B. The growth is real. So is the question about whether the moat is.$2B
- 002The AI Revenue Leaderboard: Who Has Real RevenueCommitments, run rates and bookings get reported as if interchangeable. A ranking by revenue quality rather than headline number, with what each figure means.~$47B
- 003Incumbent Advantage: Why Worse Enterprise AI Keeps WinningGiven a free choice, just 8% of workers pick Copilot. Given only Copilot, 68% adopt it. Here is the incumbent advantage machine, and how challengers break it.8%
- 004Why 'AI Wrapper' Became the Laziest Insult in SoftwareWrapper is used to dismiss any product built on a foundation model. Distribution, workflow and data rights beat model access. The case for the defence.~$190M
- 005AI Shrinkflation: Same Price, Fewer Tokens, Quieter LimitsAI shrinkflation is real but mis-stated. Vendors owe API buyers 60 days notice before a model dies. Subscribers got 31 before limits changed. How to detect it.Under 5%
- 006AI Unit Economics: When Power Users Lose You MoneyAI product gross margins ran 45% in 2025 against the 70-80% SaaS norm. Here is the contribution margin model that shows which customers cost you money.45%
- 007Free Tier Economics: 43% of AI Products Offer Trials43% of AI-native products offer a free trial, against 61% of SaaS, in a 200-product survey. Free tiers are not vanishing. They are being metered instead.43%
- 008Rate Limits as a Pricing Lever: A 5-Test StandardGitHub's premium request multipliers span 173x, from 0.33 to 57. A 5-test transparency standard for AI rate limits, with four vendors graded against it.173x
- 009SaaS Pricing Changes: 1,800 in a Year, What Vendors LearnedThe top 500 B2B and AI companies made 1,800 pricing and packaging changes in 2025, 3.6 each. What actually worked, what backfired, and what to copy.1,800+
- 010AI Code Security Scanners Miss 61% of Real FlawsFour SAST tools combined found 38.8% of known flaws in production Java. Agents now write code 3 to 4 times faster. Why scanner placement beats detection.38.8%
- 011AI Coding Tools: Three Winners, Three ScoreboardsClaude Code leads developer satisfaction at 91% CSAT, Cursor sold for $60B, and Copilot sits inside 90% of the Fortune 500. Three scoreboards, three winners.91%
- 012AI Data Retention Policies, Ranked by What They PromiseEvery major AI vendor's data retention policy, scored on 5 criteria. Anthropic keeps covered-model prompts for 30 days even where zero retention was agreed.30 days
- 013Autonomous Coding Agents Tested on Real RepositoriesTop systems resolve 61.5% of public benchmark tasks but 51.5% on private commercial codebases. What Devin, Factory and agent buyers should take from it.61.6%
- 014Claude Code vs Cursor vs Copilot: The 2026 VerdictGitHub Copilot's workplace adoption fell from 29% to 21% while Claude Code rose to 39%. A buyer-side comparison built on adoption data, not benchmarks.39%
- 015Deep Research Tools Compared: Citation Accuracy AuditedCitation accuracy across deep research agents ranges from 77.96% to 93.68%, and the volume leader ships 13.3% dead URLs. What to measure before you buy.93.68%
- 016GitHub Copilot Market Share: The 51% Drop Nobody Can SourceThe claim that GitHub Copilot fell from 67% to 51% of developers is not in the survey it cites. The measured decline is 29% to 21%. Here is the evidence.21%
- 017Agent Runbooks: The On-Call Template for AI in ProdOnly 20% of firms have tested a response plan for AI failure. Here is the agent runbook: severity tiers, rollback, kill switch, escalation and the 15-day clock.20%
- 018AI Agent Payback: Why Every Function Says 6 MonthsSix commissioned studies report AI agent payback in under 6 months across six functions. The one with 420 respondents says 15. What that gap means.6 of 7
- 019LLM Evals: The Only Asset That Survives a Model SwapAnthropic retired 9 Claude models in 10 months and gives 60 days notice. Your eval suite is the only asset that survives. How to build one from scratch.60 days
- 020Personal AI Accounts: 67% of AI Use Is Off Your BooksVerizon's 2026 DBIR found 45% of employees now use AI on corporate devices, and 67% of them sign in with personal accounts. Source code leads the leak.67%
- 021Prompt Injection: 12 Defences Broken Above 90%Researchers broke 12 published prompt injection defences with attack success above 90%. Why the SQL injection fix has no equivalent, and what actually works.Above 90%
- 022Comparison Pages: The Rules Before You Name a RivalThe FTC has encouraged naming competitors since 1979, and peer-reviewed work ties citations to a 30% to 40% visibility lift. Here is the template and the rails.1979
- 023AI Tool Standardisation: What One Tool Really Costs70% of engineers run two to four AI tools at once, per a 906-person survey. Standardising improves governance and costs you goodwill. Here is the trade-off.70%
- 024Developer Trust in AI Fell to 29% as Usage Hit 84%Stack Overflow's 2025 survey puts developer trust in AI accuracy at 29% while 84% use or plan to use the tools. What that gap really costs tool vendors.29%
- 025Vibe Coding's Cleanup Bill: 74% Report Major Rework74% of technology leaders say at least a quarter of their AI-generated code needs significant rework. Here is what the cleanup costs and how to cap it.74%