Skene

Skene is an AI-powered Product-Led Growth (PLG) infrastructure designed for modern development teams, particularly indie developers and early-stage startups. It redefines growth tooling by integrating directly with your codebase and IDE, eliminating the need for external, siloed dashboards and brittle third-party scripts. Skene operates as a fully automated iteration engine that autonomously optimizes key growth funnels like onboarding, activation, and retention. By analyzing your repository structure and deriving signals directly from your code, it intelligently identifies friction points and activation drop-offs. It then automatically tests and implements improved user flows, creating a self-optimizing product experience. This "growth as code" philosophy allows developers to own, version, and prompt their growth infrastructure just like their core product, ensuring seamless compatibility with existing tech stacks and AI agents. The core value proposition is clear: replace a fragmented legacy growth stack with a unified, code-native system that ships growth loops instead of managing widgets, all without expanding your team.

Codebase Signal Analysis

Skene performs deep, automated analysis of your connected GitHub or GitLab repository to extract actionable growth signals. It scans your framework, component structure, and user flow logic to identify onboarding friction points, activation opportunities, and retention risks directly from the source code, providing a foundational context layer for all subsequent AI-driven optimizations.

AI-Prompted Growth Implementation

Growth workflows are managed through natural language prompts within your existing development environment, such as Cursor or a terminal. After analysis, you can instruct Skene to generate and implement specific improvements—like refining an onboarding tour or adjusting a activation checkpoint—turning strategic insights into shipped code without manual intervention.

Self-Optimizing User Flows

The system continuously monitors user interactions against the signals in your codebase. It automatically A/B tests different user journey variations and implements the winning flows. This creates a closed feedback loop where onboarding and activation processes become smarter and more effective over time, with no manual dashboard tuning required.

Integrated Growth Manifest & Context

Skene generates a persistent growth-manifest.json file within your project (e.g., in ./skene-context/). This file acts as a centralized, version-controlled source of truth for all your product's growth logic, analytics definitions, and user journey states, ensuring your AI agents and tools have consistent, up-to-date context.

Autonomous Onboarding Optimization

For SaaS products, Skene automatically analyzes where new users drop off during initial setup. It then generates, tests, and deploys refined onboarding tours and tooltips directly within the application's UI, significantly improving time-to-value and activation rates without any engineering overhead.

Continuous Activation Funnel Management

Startups can use Skene to perpetually audit and improve their core activation funnel. The system identifies which features are correlated with long-term retention, detects where users struggle to reach them, and prompts the implementation of guided flows or UI adjustments to boost key feature adoption.

Lifecycle Automation for Customer Success

Teams can automate complex customer lifecycle workflows based on code-level signals. For example, Skene can trigger re-engagement nudges or educational content when it detects a user has not interacted with a newly shipped feature, helping to drive adoption and reduce churn autonomously.

Tech Stack Consolidation for Developers

Development teams frustrated with managing multiple analytics, onboarding, and engagement tools can replace their entire legacy growth stack with Skene. It consolidates these functions into a single, code-native infrastructure that is owned, versioned, and modified within the same workflow used for feature development.

How is Skene different from traditional customer experience software?

Traditional tools rely on manual tour creation, external JavaScript snippets, and brittle UI selectors that break with every deployment. Skene is fundamentally different; it reads your actual codebase to understand your application's structure and automatically generates and maintains all growth components. When you push new code, Skene's flows update themselves, ensuring robustness and deep integration.

How long does it take to set up?

Setup is designed to be completed in less than 60 seconds. You simply grant Skene read-only access to your GitHub or GitLab repository. The system then automatically analyzes your codebase to generate the initial PLG flows and context layer. No initial code changes or API modifications are required to get started.

Is my code secure?

Yes, security is a primary design consideration. Skene only ever requires read-only access to your repository. All code analysis is performed in a secure, isolated environment. Your proprietary code is not stored or used for any purpose other than generating your specific growth infrastructure and signals.

What kind of analytics do you provide?

Skene provides analytics focused on growth outcomes, not just pageviews. The dashboard shows real-time user progress through defined journeys, completion rates, engagement metrics, and bottleneck identification. You can track critical metrics like time-to-value and directly measure the impact of each automated improvement on your activation and retention goals.