Skene

About Skene

Skene is an AI-powered PLG (Product-Led Growth) infrastructure that transforms how digital products grow. It's a fully automated, self-learning growth engine designed for indie developers, early-stage startups, and product-led companies. Instead of relying on manual A/B testing, external dashboards, or hiring a growth team, Skene connects directly to your codebase to understand your product from the inside out. It observes real user actions to automatically detect friction points, activation drop-offs, and retention opportunities. The platform then creates, tests, and deploys improved user flows, continuously optimizing onboarding, activation, and retention loops over time. Its core value proposition is turning growth into code you own and control, eliminating the need for brittle third-party scripts and siloed analytics. With setup in under 60 seconds, Skene acts as a "growth team in a box," allowing builders to ship a better product experience directly from their IDE, ensuring performance and data ownership remain intact.

Features of Skene

Codebase-Derived Growth Signals

Skene analyzes your repository structure and source code to automatically identify key user behaviors and growth opportunities. It scans your code to detect potential onboarding steps, feature usage patterns, and friction points without requiring you to manually instrument events. This provides a deeply contextual understanding of your product's user journey, derived directly from the logic you've built, forming a powerful context layer for AI-driven optimization.

Automated Flow Generation & Testing

The platform doesn't just report problems; it actively solves them. Based on its analysis of user drop-off and friction, Skene automatically generates improved versions of critical user flows, such as signup or feature onboarding. It then runs these variations as experiments, measures their impact on key metrics like activation, and deploys the winning configuration. This creates a self-improving product where the onboarding and activation processes get smoother with every cycle.

Prompt-Driven Growth Implementation

Growth work in Skene is managed through natural language prompts, just like modern AI-assisted coding. You can instruct the system to analyze bottlenecks, generate new flow ideas, or implement optimizations through simple commands in your terminal or IDE. This integrates growth directly into the developer workflow, making it as natural as writing code, and allows your AI coding agents to participate in the growth process seamlessly.

Owned & Version-Controlled Infrastructure

Unlike traditional tools that inject external scripts, Skene operates as infrastructure you own. The growth logic and analytics it generates become part of your codebase, which you can version control with Git, modify, and prompt. This eliminates the "black box" problem, protects your site's performance from third-party bloat, and ensures your data and user experience logic never live in a siloed, inaccessible dashboard.

Use Cases of Skene

Indie Developer Growth Automation

Solo founders and indie developers use Skene to offload the complex, time-consuming work of growth optimization they don't have hours for. It automates the continuous cycle of finding friction, testing solutions, and improving metrics, allowing a single developer to compete with products that have dedicated growth teams, all while maintaining full focus on building core product features.

Early-Stage Startup "Growth Team in a Box"

For seed-stage or Series A startups without the budget for a full growth team, Skene acts as an immediate, automated growth department. It handles the foundational PLG work of tightening the onboarding funnel, improving activation rates, and establishing retention loops, enabling the startup to scale its user base efficiently before investing in additional headcount.

PLG Companies Scaling Efficiency

Established product-led growth companies use Skene to deepen product-led motion without adding operational overhead. It helps expand customer lifetime value (LTV) by systematically optimizing in-product journeys and feature adoption paths. This allows growth and product teams to focus on strategic initiatives rather than manual tour maintenance and dashboard monitoring.

AI-Native Development Workflow Integration

Teams building with AI-powered IDEs like Cursor or using AI agents integrate Skene to make growth a native part of the development process. Developers can prompt their AI assistant to run growth analysis or implement optimizations, blending feature development and growth experimentation into a single, cohesive, prompt-driven workflow within their familiar coding environment.

Frequently Asked Questions

What is PLG software?

PLG (Product-Led Growth) software is designed to help users discover and realize value in your product through the product experience itself, without requiring manual intervention from sales or customer success teams. It automates the user journey, guiding users to activation, driving feature adoption, and strengthening retention through built-in mechanisms, making the product its own primary driver of acquisition and expansion.

How is Skene different from traditional customer experience software?

Traditional tools like walkthrough builders require manual creation of tours, constant maintenance to keep up with UI changes, and rely on brittle JavaScript overlays that often break after deployments. Skene is fundamentally different: it reads your actual codebase to automatically understand and generate onboarding flows, analytics, and lifecycle automation. When you update your product's code, Skene's optimizations update themselves accordingly.

How long does it take to set up?

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 to generate initial PLG flows and identify opportunities. No initial code changes, API modifications, or snippet pasting is required to get started.

Is my source code secure with Skene?

Absolutely. Security is a primary concern. Skene only ever requests read-only access to your repository. The code analysis occurs in 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's growth.