Skene

About Skene

Skene is an AI-powered PLG (Product-Led Growth) infrastructure that automates user growth by directly integrating with your codebase. It functions as a fully automated, self-learning growth engine designed to continuously optimize the key pillars of product-led growth: user onboarding, activation, and retention. Unlike traditional tools that rely on manual configuration and external scripts, Skene analyzes your application's source code to understand user flows, automatically detect friction points, and generate data-driven improvements. This allows your product to evolve and improve itself with every code change. Built for efficiency, it serves as a "growth team in a box" for indie developers and early-stage startups who lack dedicated resources, and as a force multiplier for PLG companies aiming to scale LTV (Lifetime Value) without increasing headcount. Its core value proposition is turning growth into owned, version-controlled infrastructure that you can prompt and modify, eliminating the need for siloed, third-party black-box solutions.

Features of Skene

Codebase-Derived Growth Signals

Skene connects directly to your GitHub or GitLab repository with read-only access to analyze your code. It automatically scans your application structure to identify key user flows, potential friction points, and activation opportunities. This analysis generates a contextual understanding of your product, forming the foundation for all automated optimizations without requiring manual event tagging or code instrumentation.

Automated Flow Optimization & Testing

The platform observes real user behavior to pinpoint where drop-offs occur. It then automatically creates, A/B tests, and iterates on improved versions of user journeys—such as onboarding sequences or feature adoption paths. Skene measures the impact of each change and deploys the winning configuration, ensuring your critical flows are continuously refined for maximum conversion and retention.

Prompt-Driven Growth Implementation

Growth work is managed through natural language prompts within your existing IDE workflow, like Cursor. Instead of complex dashboards, you instruct Skene via prompts (e.g., "improve the signup-to-dashboard time") and it generates the necessary code or configuration. This integrates growth tasks directly into the development process, making them as simple as shipping a feature.

Self-Updating PLG Components

All onboarding guides, analytics tracking, and lifecycle automations generated by Skene are tied to your codebase. When you push updates or refactor your application, Skene's components automatically update themselves to remain functional and relevant. This eliminates the maintenance burden and broken experiences common with traditional overlay-based tools.

Use Cases of Skene

Autonomous Growth for Indie Developers

Solo founders and small developer teams use Skene to offload growth optimization work they don't have time for. It automates the continuous improvement of onboarding and activation, allowing them to focus on building core product features while still achieving professional-grade, data-driven growth loops.

PLG Activation & Expansion

Product-led growth companies implement Skene to tighten their activation funnel and expand user lifetime value. By automatically optimizing the path to a user's "aha moment" and prompting further feature adoption, it helps convert more free users into paying customers and increases revenue per user without scaling the team.

Replacing Legacy Growth Stacks

Teams frustrated with multiple third-party scripts for analytics, tours, and A/B testing use Skene to consolidate their stack. It replaces these external, performance-impacting tools with a single, code-native infrastructure that is owned, version-controlled, and seamlessly updates with the product.

AI-Agent Integrated Development

Developers and teams using AI agents (like Cursor) can integrate Skene to give their AI context for growth tasks. The agent can run Skene analysis, interpret the growth manifest, and implement suggested optimizations, effectively making growth a collaborative effort between the developer and their AI assistant.

Frequently Asked Questions

What is PLG software?

PLG (Product-Led Growth) software is designed to help users discover value in a product without manual intervention from sales or support teams. It automates the user journey, guiding users to activation, driving feature adoption, and strengthening retention through in-product experiences and data-driven automation.

How is Skene different from traditional customer experience software?

Traditional tools require manual creation of tours, constant maintenance, and rely on brittle UI overlays that often break after deployments. Skene is fundamentally different; it reads your codebase to automatically generate and self-update onboarding and analytics. When you push new code, Skene's components adapt automatically.

How long does it take to set up?

Setup takes less than 60 seconds. You simply connect your GitHub or GitLab repository with read-only access. Skene then automatically analyzes your codebase to generate initial PLG flows and insights. No initial code changes or API modifications are required to get started.

Is my code secure?

Yes. Skene only requires read-only access to your repository for analysis. All processing happens in a secure, isolated environment. Your source code remains yours, and Skene does not require write access or the ability to execute code in your production environment.