Skene

About Skene

What if your product could learn to grow itself? Skene is an AI-powered PLG (Product-Led Growth) infrastructure that reimagines growth as a core, intelligent layer of your product, not an external afterthought. It's a fully automated iteration engine designed for indie developers, early-stage startups, and product-led companies who want to scale their user base without scaling a dedicated growth team. The core premise is revolutionary: growth should be code you own, not a third-party script you paste. Skene connects directly to your codebase and IDE, analyzing your source to understand user flows, detect friction, and identify activation opportunities. It then autonomously creates, tests, and deploys optimized versions of onboarding, activation, and retention loops. This means your product's growth mechanisms improve continuously based on real user behavior, turning your application into a self-optimizing engine for user success. Instead of wrestling with dashboards and manual A/B tests, you can prompt your AI agent to implement growth strategies, making sophisticated optimization accessible from your development environment.

Features of Skene

Codebase-Derived Growth Signals

Skene moves beyond surface-level analytics by directly analyzing your application's source code. It scans your repository structure to automatically detect key user flows, potential friction points, and activation opportunities. This deep, contextual understanding means growth recommendations are built on the actual architecture of your product, not just generic event tracking. It identifies a "context layer" for your AI, turning your code into a blueprint for intelligent, automated optimization.

Automated Flow Optimization & Testing

The platform actively observes user actions to pinpoint where drop-off occurs. Once friction is detected, Skene doesn't just report it; it automatically generates improved versions of the user journey. It then runs tests, measures the impact on key metrics like activation and retention, and deploys the winning configuration. This creates a closed-loop system where your onboarding, activation funnels, and retention loops refine themselves over time without manual intervention.

Prompt-Driven Growth Implementation

Skene integrates growth work directly into your development workflow. Instead of toggling knobs in a separate dashboard, you can instruct your AI agent or use simple terminal commands to audit, analyze, and implement growth strategies. By adding a setup skill and running uvx skene-growth analyze, developers can generate a growth manifest and begin prompt-driven implementation in seconds, making growth a natural part of the shipping process.

Self-Owned, Version-Controlled Infrastructure

Skene is built on the principle that growth logic should be as ownable and versionable as your product code. It eliminates the need for external, performance-draining snippets and siloed black-box dashboards. Your growth configurations and analytics are treated as code you control, allowing for seamless integration, better performance, and the ability to modify logic just like any other feature in your repository.

Use Cases of Skene

Indie Developer Growth Automation

Solo founders and small indie teams can offload complex growth work they simply don't have the hours to manage manually. Skene acts as an automated co-pilot, continuously optimizing user journeys so developers can focus on building core product features while still ensuring their product effectively guides users to value and retains them over time.

Early-Stage Startup "Growth Team in a Box"

For startups pre-product-market fit or without the budget for a dedicated growth team, Skene provides an immediate, sophisticated growth capability. It automates the experimentation and optimization cycle, allowing small teams to achieve professional-grade PLG strategies and data-driven iteration without adding headcount, accelerating their path to scalable growth.

PLG Company Activation & LTV Expansion

Established product-led companies use Skene to tighten critical activation funnels and expand customer lifetime value (LTV) systematically. By automating the detection of bottlenecks and the testing of improvements, it helps maximize conversion rates and strengthen retention loops, driving efficient growth from the existing user base without constant manual analysis.

Replacing Legacy Growth & Onboarding Stacks

Companies tired of managing brittle, third-party tour builders and analytics tools can replace their entire legacy stack with Skene. It consolidates onboarding, analytics, and lifecycle automation into a single, code-native system that automatically updates with every deploy, eliminating maintenance overhead and breaking free from siloed, inflexible tools.

Frequently Asked Questions

What is PLG software?

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

How is Skene different from traditional customer experience software?

Traditional tools rely on manual creation of tours and constant maintenance of brittle UI overlays that often break with new deploys. Skene is fundamentally different; it reads your actual codebase to automatically generate and update onboarding flows, analytics, and automation. It's an infrastructure layer that evolves with your product, removing the manual upkeep and "black box" nature of external widgets.

How long does it take to set up?

Setup is designed to be incredibly fast, 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 insights. No initial code changes or API modifications are required to get started.

Is my code secure?

Absolutely. Security is a primary concern. Skene only requires read-only access to your repository for analysis. All code analysis is performed in a secure, isolated environment. Your proprietary code remains yours, and the platform is built to be a transparent layer you control, not an opaque data sink.