Skene

About Skene

Skene is an AI-powered PLG (Product-Led Growth) infrastructure designed to automate growth for software products. It acts as a fully automated iteration engine, eliminating the need for dedicated growth teams. The core challenge it solves is the immense time and resource drain of manually building, testing, and maintaining user onboarding, activation, and retention flows—work that often falls on indie developers and early-stage startups who can't afford a full team. Skene's solution is deeply technical: it connects directly to your codebase and IDE, analyzing your source code to understand user flows and detect friction points automatically. Instead of relying on external, brittle scripts that break with updates, Skene generates and runs growth experiments as code you own and version. This means your product's growth mechanisms improve autonomously, with the platform creating, testing, and deploying winning configurations for user journeys. Its primary value proposition is turning growth into a programmable, self-optimizing layer of your product infrastructure, allowing builders to ship growth loops with the same tools and workflows they use to ship features.

Features of Skene

Codebase Signal Analysis

Skene performs a deep, automated analysis of your application's codebase to identify key user flows, potential friction points, and activation opportunities. By scanning your repository structure and framework, it extracts growth signals directly from the source code, eliminating the need for manual instrumentation or guesswork about where users struggle. This provides a foundational, accurate context layer for all subsequent growth automation.

Automated Growth Experimentation

The platform automatically creates, tests, and measures improved versions of user onboarding and activation flows based on its code analysis. It runs A/B tests on different flow configurations, evaluates their impact on key metrics like completion rates, and deploys the winning variant. This creates a self-learning system where the product's user experience continuously optimizes itself without manual intervention.

Prompt-Driven Growth Implementation

Growth work in Skene is initiated and managed through natural language prompts within your development environment, like Cursor. Instead of navigating complex dashboards, you can prompt an AI agent or use the CLI to analyze your codebase, generate a growth manifest, and implement optimizations. This integrates growth directly into the developer workflow, making it as simple as writing a feature request.

Owned & Versioned Growth Infrastructure

Unlike traditional third-party scripts that operate as external "black boxes," Skene generates growth logic as code that lives in your repository. You maintain full ownership, control, and visibility. This ensures your growth flows are performant, never break due to UI changes, and can be seamlessly versioned, reviewed, and prompted alongside your core product code.

Use Cases of Skene

Autonomous Onboarding for Indie Developers

Solo founders and indie developers use Skene to offload the complex, ongoing work of optimizing user onboarding. Without the hours to manually build tours or analyze drop-off points, they connect Skene to their codebase. The platform automatically detects the first-user journey, identifies where users get stuck, and iteratively improves the flow, allowing the developer to focus on building core product features while growth handles itself.

"Growth Team in a Box" for Early-Stage Startups

Early-stage startups that cannot yet hire a dedicated growth team use Skene as a complete, automated replacement. It handles the continuous cycle of analyzing user behavior, hypothesizing improvements, running experiments, and implementing wins across activation and retention. This gives startups sophisticated, data-driven growth capabilities from day one, accelerating time-to-value without increasing headcount.

Scaling PLG Without Adding Overhead

Established product-led growth companies implement Skene to tighten their activation funnel and expand customer lifetime value (LTV) efficiently. The platform provides a scalable infrastructure to systematically optimize retention loops and customer journeys. By automating experimentation and deployment, it drives growth metrics forward without requiring proportional increases in engineering or growth marketing resources.

Integrating Growth into AI Agent Workflows

Development teams using AI-powered IDEs and agents integrate Skene to make growth a native part of the development process. An AI agent can be instructed to "analyze the codebase for growth opportunities" or "implement the onboarding improvement from the growth manifest." This turns growth into a promptable task, deeply embedding optimization into the standard cycle of building and shipping software.

Frequently Asked Questions

How is Skene different from traditional customer experience software?

Traditional tools like tour builders require manual creation, constant maintenance, and rely on brittle UI selectors that break with every code deployment. Skene is fundamentally different because it reads your actual codebase to automatically generate and update onboarding, analytics, and lifecycle automation. When you push new code, Skene's understanding and generated flows update automatically, eliminating maintenance overhead and fragility.

How long does it take to set up Skene?

Setup is designed to take less than 60 seconds. You simply connect your GitHub or GitLab repository with read-only access. Skene then automatically analyzes your codebase structure and begins generating PLG flows and signals. No initial code changes, API integrations, or complex configuration is required to get started.

Is my source code secure with Skene?

Absolutely. Security is a primary design principle. Skene only ever requests read-only access to your repository. All code analysis is performed in a secure, isolated environment. Your proprietary code never remains on Skene's servers for longer than necessary to perform the analysis, and the growth logic it generates is output as code that you own and host.

What kind of analytics does Skene provide?

Skene provides an analytics dashboard focused on growth outcomes. It shows real-time user progress through key flows, completion rates, engagement metrics, and identifies specific bottlenecks. You can track essential metrics like time-to-value and directly measure the impact of each automated experiment, providing data-driven insights to inform both the AI engine and your strategic decisions.

Pricing of Skene

Skene employs an outcome-based pricing model where you only pay when users successfully complete their defined onboarding journey. This aligns cost directly with value delivered. The platform offers a free tier that includes 5 successful onboarding completions per month. Paid plans, such as the Growth plan, offer bundled completions (e.g., 70 completions for €50), providing predictable scaling for growing products.