Skene

About Skene

Skene is a game-changing AI-powered PLG (Product-Led Growth) infrastructure that fundamentally reimagines how software products achieve sustainable growth. It is a fully automated, self-learning iteration engine designed to continuously optimize the critical pillars of user success: onboarding, activation, and retention. Built for the modern developer, Skene connects directly to your codebase and IDE, transforming growth from a manual, dashboard-driven chore into an owned, version-controlled, and promptable component of your product. It eliminates the need for external, performance-sapping scripts and siloed analytics tools by deriving growth signals directly from your application's code. This allows indie developers and early-stage startups to offload complex growth work they lack the time for, while PLG companies can tighten activation loops and expand customer lifetime value without adding headcount. Skene's core promise is transformative: stop building isolated features and start shipping intelligent, self-optimizing growth loops that work autonomously to understand user friction, test improvements, and deploy winning configurations, all from within your native development environment.

Features of Skene

Codebase-Native Signal Detection

Skene performs a deep, automated analysis of your repository structure to identify inherent growth signals and user friction points directly from your source code. It scans for framework-specific patterns, user flow logic, and potential drop-off points without requiring any manual instrumentation or code changes. This provides a foundational, real-time understanding of how your product is built and where opportunities for optimization naturally exist, creating a rich context layer for AI-driven growth actions.

Autonomous Growth Loop Engine

The platform acts as a self-learning engine that observes real user actions, detects activation drop-off and friction, and automatically creates, A/B tests, and measures improved versions of user flows. It then deploys the winning configuration, creating a closed-loop system where your onboarding improves itself, activation becomes smoother, and retention loops stay perpetually optimized over time, all without manual intervention from a growth team.

Prompt-Driven Growth Implementation

Growth work becomes as simple as issuing a prompt. Through deep integration with your IDE and AI agents, you can design, audit, and implement growth loops using natural language commands. Instead of wrestling with a legacy stack of external dashboards and widgets, you instruct Skene directly within your development workflow, turning strategic growth ideas into deployed, measured experiments with unprecedented speed.

Owned & Version-Controlled Infrastructure

Skene replaces fragile third-party snippets and black-box scripts with growth infrastructure you own, version, and control like the rest of your code. This eliminates performance bottlenecks, data silos, and the constant breakage of UI overlays. Your growth logic lives in your repository, updates automatically with your deploys, and is fully accessible and modifiable by your AI agents, ensuring integrity and ownership.

Use Cases of Skene

Indie Developer & Startup Growth Automation

Solo founders and small teams use Skene as a "growth team in a box" to automate the continuous optimization work they don't have the hours to perform manually. It offloads the burden of analyzing user behavior, designing onboarding tweaks, and running experiments, allowing them to focus on core product development while still achieving professional-grade, self-improving user journeys.

Product-Led Growth (PLG) Activation Tightening

Established PLG companies implement Skene to systematically tighten their activation funnels and expand customer lifetime value without adding engineering or growth headcount. The autonomous engine identifies precise friction points in the path to value and iteratively smooths them out, driving higher conversion rates and stronger product-qualified lead generation.

AI-Agent Integrated Development Workflow

Development teams leveraging AI pair programmers like Cursor use Skene to provide their agents with a rich, code-aware growth context. Agents can directly audit, prompt, and implement growth loops based on a real-time understanding of the codebase, seamlessly blending feature development with growth optimization in a single, AI-native workflow.

Legacy Stack Replacement & Consolidation

Companies frustrated with a patchwork of external analytics, onboarding tour tools, and customer journey platforms use Skene to replace their entire legacy growth stack. It consolidates signal detection, experimentation, and automation into one owned, code-native infrastructure, eliminating vendor lock-in, dashboard fatigue, and manual data reconciliation.

Frequently Asked Questions

What is PLG software?

PLG (Product-Led Growth) software is designed to help users independently discover and realize value within a product without requiring manual intervention from sales or customer success teams. It automates the user journey, using the product itself to guide users to activation, drive feature adoption, and strengthen retention, making the product its primary driver of acquisition, conversion, and expansion.

How is Skene different from traditional customer experience software?

Traditional tools rely on manual tour creation, constant maintenance, and brittle UI overlays that break with every code deploy. Skene is fundamentally different; it reads your actual codebase and automatically generates and updates onboarding, analytics, and lifecycle automation. When you push new code, Skene's understanding and generated flows update themselves, moving from a fragile, overlay-based model to a resilient, code-native infrastructure.

How long does it take to set up?

Setup is designed to be instantaneous, taking 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 signals. No initial code changes, API modifications, or snippet installations are required to begin.

Is my source code secure with Skene?

Absolutely. Security is a foundational principle. Skene only ever requires read-only access to your repository. All analysis is performed in a secure, isolated environment. Your proprietary code never remains on external servers in an executable or modifiable state, and the growth logic it helps create is owned and versioned within your own codebase.