Skene

About Skene

Skene is an AI-powered, fully automated Product-Led Growth (PLG) iteration engine designed to function as intelligent infrastructure for software products. It enables products to grow autonomously by continuously optimizing key user lifecycle stages—onboarding, activation, and retention—without requiring dedicated growth teams. The platform's core innovation is its deep integration with the product's own codebase. By analyzing source code directly, Skene derives contextual signals to understand user behavior, detect friction points, and identify activation opportunities. It then automatically creates, A/B tests, and deploys improved user flows, effectively creating a self-learning growth system. Built for indie developers, early-stage startups, and established PLG companies, Skene's value proposition is to replace fragmented, manual growth stacks with a unified, code-native engine. This allows developers to own their growth logic, version it alongside their product, and interact with it via prompt, eliminating the performance overhead and data silos associated with traditional third-party scripts and dashboards.

Features of Skene

Codebase-Derived Growth Signals

Skene performs a static analysis of your connected repository to automatically identify and map growth-critical elements within your application. It scans for user interface components, authentication flows, feature gates, and key interaction points to build a comprehensive model of the user journey. This analysis happens in a secure, isolated environment with read-only access, ensuring no intellectual property is exposed. The resulting data model provides a high-fidelity, contextual layer that understands your product's architecture, enabling precise and relevant automation that traditional tag-based tools cannot achieve.

Automated Flow Generation & Optimization

The platform autonomously creates and iterates on user onboarding and activation sequences. By observing real user actions and correlating them with the code structure, Skene detects where users encounter friction or drop off. It then generates hypothesis-driven variations of these flows, runs controlled experiments to measure their impact on key metrics like time-to-value and activation rate, and automatically deploys the winning configuration. This creates a closed-loop system where the product's conversion pathways continuously improve without manual intervention from developers or growth marketers.

Prompt-Driven Growth Infrastructure

Skene integrates directly into the developer's workflow and IDE, treating growth as a first-class component of the codebase. Developers can prompt the system to audit flows, generate implementations, or analyze bottlenecks using natural language commands. This is facilitated through skills and agents that can be executed via command-line tools like uvx. This paradigm shifts growth from managing external dashboards and widgets to shipping and versioning owned code, making it modifiable, testable, and seamlessly integrated with AI development agents.

Outcome-Based Analytics & Lifecycle Automation

The platform provides analytics focused on user outcomes rather than just vanity metrics. It tracks progression through defined lifecycle stages, pinpoints bottlenecks, and measures the direct impact of automated optimizations. Beyond analytics, Skene enables the creation of automated lifecycle campaigns—such as re-engagement sequences for at-risk users or feature adoption nudges—that are dynamically updated when the underlying code changes. This ensures that user communication and guidance remain perfectly synchronized with the live product.

Use Cases of Skene

Autonomous Growth for Indie Developers & Small Teams

Solo founders and small development teams use Skene to offload the complex, time-consuming work of growth optimization. Without the resources for a dedicated growth team, they can connect their repository and activate a self-improving onboarding system. Skene handles the continuous analysis, experimentation, and deployment of better user flows, allowing developers to focus exclusively on building core product features while still achieving systematic, data-driven user growth.

PLG Activation & Expansion for Startups

Early-stage and scaling startups employ Skene as a "growth team in a box" to tighten their product-led funnel. The platform systematically improves the initial user experience to boost activation rates and expands lifetime value by optimizing retention loops and feature adoption paths. This allows startups to scale their growth operations efficiently without immediately adding marketing or engineering headcount, preserving runway while accelerating key business metrics.

Legacy Stack Replacement for Established Companies

Product-led growth companies frustrated with brittle, third-party tooling use Skene to replace their legacy stack of onboarding tour widgets, analytics snippets, and lifecycle email platforms. By consolidating these functions into a single, code-native infrastructure, they eliminate performance penalties, data silos, and the constant maintenance burden caused by UI overlays that break with every deployment. Growth logic becomes owned, version-controlled, and inherently stable.

AI-Agent Integrated Development

Development teams leveraging AI agents and assistants, such as those within Cursor or other AI-powered IDEs, use Skene to provide their agents with deep, contextual knowledge of the product's growth layer. Agents can query Skene's analysis, execute growth tasks via prompt, and implement optimizations directly into the codebase. This creates a synergistic workflow where AI can actively participate in and automate the growth engineering lifecycle.

Frequently Asked Questions

What is PLG software?

Product-Led Growth (PLG) software is designed to help users discover and realize value within a product through their direct experience, minimizing reliance on manual sales or customer success intervention. It automates the user journey by embedding guidance, analytics, and lifecycle automation into the product itself. This drives organic adoption, activation, and retention by ensuring the product is intuitive and successfully guides users to their "aha" moment without external prompts.

How is Skene different from traditional customer experience software?

Traditional tools like tour builders or digital adoption platforms (DAPs) require manual creation of content, constant maintenance to keep up with UI changes, and rely on external JavaScript snippets that create performance overhead and data silos. Skene is fundamentally different: it analyzes your codebase to automatically generate and maintain all PLG flows. When you update your application's code, Skene's understanding and the flows it manages update automatically, eliminating breakage and maintenance work.

How long does it take to set up?

Setup is designed to be completed in less than 60 seconds. The process involves connecting your GitHub or GitLab repository, granting read-only access. Skene then automatically performs an initial analysis of your codebase to identify growth signals and generate a foundational set of PLG flows. No initial code changes, API integrations, or snippet embedding is required to begin receiving insights and automated optimizations.

Is my source code secure?

Yes, security is a primary design consideration. Skene requires only read-only access to your repository, meaning it cannot push changes or alter your code. All analysis is performed within a secure, isolated environment. Your proprietary code is not stored or used for any purpose other than generating insights and automation specific to your product, ensuring your intellectual property remains fully protected.