Skene

About Skene

Skene is a fully automated, AI-powered PLG (Product-Led Growth) infrastructure that transforms how products scale. It's a self-learning growth engine designed for indie developers, early-stage startups, and product-led companies who want to accelerate user onboarding, activation, and retention without building a dedicated growth team. The core value proposition is radical efficiency: growth becomes code you own, not a third-party black box. Skene connects directly to your codebase and IDE, analyzing your source to understand user flows and friction points. It then automatically generates, tests, and deploys optimized versions of these flows, creating a continuous improvement loop. This means your product's growth mechanisms improve themselves with every code change, eliminating manual dashboard tweaking and brittle UI overlays. Setup is lightning-fast, taking less than 60 seconds with read-only Git access. Skene replaces an entire legacy stack of analytics, onboarding, and lifecycle tools with a single, prompt-driven system that integrates seamlessly into your development workflow, putting growth infrastructure directly in the hands of builders.

Features of Skene

Codebase-Derived Growth Signals

Skene analyzes your repository structure and source code directly to automatically detect growth opportunities. It scans for framework-specific patterns, identifies key user actions, and pinpoints exact friction points in onboarding and activation flows. This creates a rich, accurate context layer derived from your actual product, not inferred from external scripts. The analysis happens in a secure, isolated environment, generating a detailed growth manifest that serves as the foundation for all automated optimizations.

Automated Flow Optimization & Testing

The platform observes real user behavior to detect drop-off and then autonomously creates improved versions of critical user journeys. It runs A/B-style tests on these new flows, measures their impact on key metrics like activation and retention, and automatically deploys the winning configuration. This creates a fully autonomous iteration cycle where your onboarding smoothens itself, activation rates climb, and retention loops stay optimized over time without any manual intervention.

Prompt-Driven Growth Implementation

Growth work is managed through natural language prompts, not complex dashboards. After analysis, you can instruct Skene directly from your IDE or terminal to implement specific improvements. This integrates growth seamlessly into the developer workflow, allowing you to "ship growth" as quickly as you ship features. You can prompt your AI agent to handle the entire process, from audit to implementation, turning growth into a code-first, promptable system.

Integrated Analytics & Manifest Generation

Skene provides real-time analytics on user progress, completion rates, engagement metrics, and bottleneck identification. It tracks time-to-value and measures the impact of every automated change. All insights are generated from the codebase analysis, resulting in a comprehensive growth-manifest.json that details every signal and opportunity, giving you a data-driven, always-current blueprint for your product's growth infrastructure.

Use Cases of Skene

Indie Developer Growth Automation

Solo founders and small dev teams use Skene to offload growth work they don't have time for. It acts as an automated growth co-pilot, handling the continuous optimization of user onboarding and activation so the developer can focus on building core product features. It eliminates the need to manually wire up and maintain multiple third-party tools.

Early-Stage Startup "Growth Team in a Box"

For startups pre-product-market fit or without a dedicated growth team, Skene provides an instant, automated growth function. It rapidly iterates on user journeys to find the fastest path to activation and value, helping the startup scale its user base efficiently and validate what works before investing in headcount.

PLG Companies Optimizing LTV

Product-led growth companies use Skene to systematically tighten their activation funnel and expand customer lifetime value (LTV) without adding engineering or growth headcount. The platform's automated testing and deployment ensure that retention loops and onboarding flows are perpetually optimized as the product evolves.

Replacing Legacy Growth Stacks

Teams frustrated with slow, siloed, and brittle third-party tools use Skene to replace their entire legacy stack of analytics, onboarding tour builders, and lifecycle email platforms. It consolidates functionality into a single, code-native system that updates automatically with each deploy, breaking free from external scripts and black-box dashboards.

Frequently Asked Questions

What is PLG software?

PLG (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, guiding users to activation, driving feature adoption, and strengthening retention through the product experience itself.

How is Skene different from traditional customer experience software?

Traditional tools require manual creation of tours, constant maintenance, and rely on fragile UI overlays that break with every code deployment. Skene is fundamentally different: it reads your codebase directly and automatically generates onboarding, analytics, and lifecycle automation. When you push new code, Skene's flows update themselves, ensuring resilience and alignment with your actual product.

How long does it take to set up?

Setup is exceptionally 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 PLG flows and a growth manifest. No initial code changes, API modifications, or snippet pasting is required.

Is my source code secure with Skene?

Absolutely. Security is a primary concern. Skene only ever requires read-only access to your repository. All code analysis is performed in a secure, isolated environment. We do not store your source code, and the system is designed to respect your ownership and privacy completely.