Pendo · Project Novus
3 months · LightCI onlyBuilding an autonomous product engineer that never stops improving your product
Novus is an AI that reads your codebase, instruments your product, analyzes user behavior, and continuously ships improvements — autonomously. Built from zero to commercial release in 3 months.
“The most exciting thing to happen to Pendo in years.”
— Pendo Board
After 12 years of customer feedback, Pendo faced a fundamental truth: teams weren't turning analytics data into product improvements. Even with powerful dashboards, most customers needed hand-holding from TAMs, CSMs, and consultants to get value. Project Novus flipped the model — instead of giving teams data and hoping they act, build an AI that understands the product, watches how users behave, and autonomously ships the improvements itself.
Strategic Context
Pendo was absent from AI analyst radars. The board saw a window to transform the company — not just add AI features, but become a recognized AI company. The goal: a new AI-native product line worth tens of millions in revenue.
They needed a team that could go from zero to commercial product in months, not years. No internal ramp-up, no committee-driven roadmap. Just build the thing and ship it.
What We Built
From dashboards to an autonomous product engineer
The old model: give customers analytics dashboards, hope they look at them, then send consultants when they don't. The new model: an AI that reads the codebase, instruments the product, watches how real users behave, identifies what's broken or underperforming, and ships improvements — continuously, without waiting for a human to interpret a chart.
Novus doesn't just collect data. It acts on it. It's the product engineer that never sleeps, never misses a pattern, and always ships.
How Novus works
Understands the customer's product
AI reads the codebase and automatically classifies the business model, detects account structures, and maps the entire data model — no manual configuration needed.
Installs itself
Generates a ready-to-merge pull request that installs Pendo — fully configured for the customer's specific stack and architecture.
Identifies every page and feature
Maps the entire product surface automatically. When tested on Pendo's own codebase, it identified 340+ pages with 95% accuracy — matching what took humans weeks to tag manually.
Instruments the right events
Selects which user actions matter most and instruments them automatically. Customers get meaningful analytics data from day one, not after months of manual tagging.
Continuously improves the product
This is where Novus goes beyond any analytics tool. It watches user behavior, identifies friction and drop-off, and autonomously ships improvements — new guides, UX changes, optimized flows. Not a report. Actual product changes, deployed automatically.
A fundamentally better approach to product analytics
Traditional analytics tools read the DOM — the rendered page a user sees. But the DOM varies by user, subscription level, feature flags, and even browser zoom. It's an unreliable source of truth.
Novus reads the code instead. The codebase is the single source of truth for what a product actually does, and AI can interpret it at a scale no human team could match. This is what makes the 95% accuracy possible — and what makes Pendo's competitive moat defensible.
A new category, not just a new feature
Novus isn't a feature bolted onto Pendo — it's an entirely new product that creates a new category. An autonomous product engineer that any company can plug in and let run. Markets Pendo couldn't reach before — smaller teams, AI-native startups, companies without dedicated product ops — are now accessible.
It also opens new distribution channels. Every app built on platforms like Vercel or Replit could ship with Novus built in from day one — transforming Pendo from a tool you configure into intelligence that's already there, always improving.
Validation & Market Response
Customer Onboarding
Design partners went from connected repo to actionable analytics in a single session. Teams recognized their own pages, features, and user funnels immediately — no training or onboarding required.
Accuracy
When tested against Pendo's own product — a complex enterprise codebase — the AI matched 95% of page tags that took humans weeks to create manually. 340+ pages identified in under a minute.
Go-to-Market
Phase 1 targeting sub-50 person companies comfortable with cloud access. Same startup segment as PostHog. Sales teams can now set up prospects live during phone calls — from first touch to instrumented product in minutes.
Ecosystem Play
Integration pipeline with Agent Space, Glean (growing 100M to 250M, targeting 500M), and N8N for PM workflow tools. Plus a future revenue stream through AI-generated app platforms like Vercel and Replit.
The most exciting thing to happen to Pendo in years.
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