Skene

About Skene

Skene is an AI-powered PLG (Product-Led Growth) infrastructure designed to automate and optimize the user journey directly from your codebase. It functions as a fully automated iteration engine, eliminating the need for dedicated growth teams by handling the continuous optimization of onboarding, activation, and retention. The platform is built for indie developers, early-stage startups, and established PLG companies seeking to scale efficiently without adding headcount. Its core value proposition is transforming growth from a manual, dashboard-driven process into a self-learning, code-native system. Skene achieves this by analyzing your application's source code to derive user behavior signals and friction points. It then automatically creates, tests, and deploys improved user flows, effectively allowing your product's onboarding to improve itself, activation to become smoother, and retention loops to stay optimized over time. By integrating directly into your development environment, Skene ensures growth logic is owned, versioned, and promptable like the rest of your code, moving away from brittle third-party scripts and siloed data.

Features of Skene

Codebase Signal Analysis

Skene connects directly to your GitHub or GitLab repository with read-only access to perform a deep analysis of your codebase. It automatically scans your repository structure, detects your tech stack (like Next.js), and identifies key growth signals, user friction points, and activation opportunities. This analysis forms the foundational context layer, generating a detailed growth manifest without requiring any manual code changes or API modifications from the developer.

Automated Flow Generation & Testing

Based on the insights from code analysis, Skene automatically creates improved versions of critical user flows, such as onboarding sequences or feature adoption paths. It then runs these variations as experiments, measuring their impact on key metrics like activation and retention. The platform identifies the highest-performing configuration and deploys it autonomously, creating a self-optimizing system that continuously improves the user experience.

IDE-Native Integration & Prompting

Growth work is brought directly into the developer's workflow through deep integration with tools like Cursor IDE. Developers can initiate growth analysis and implementations via simple terminal commands or natural language prompts. This allows teams to design, audit, and run growth loops within the same environment where they build their product, treating growth infrastructure as code that can be version-controlled and iterated upon.

Outcome-Based Analytics Dashboard

Skene provides a comprehensive analytics dashboard that offers real-time visibility into user progress, completion rates, and engagement metrics. It goes beyond simple tracking to identify specific bottlenecks in the user journey, measure time-to-value, and quantify the impact of automated improvements. This data-driven feedback loop ensures optimizations are grounded in actual user behavior and business outcomes.

Use Cases of Skene

Indie Developer Growth Automation

Individual developers and small indie teams use Skene to offload growth work they lack the time or expertise to manage manually. By automating the optimization of onboarding and activation, they can focus on building core product features while ensuring their user experience continuously improves and converts new sign-ups into active, retained users without constant manual intervention.

Startup "Growth Team in a Box"

Early-stage startups employ Skene as a scalable, automated substitute for a dedicated growth team. It provides systematic, data-driven user journey optimization from day one, helping startups achieve efficient scale, tighten their product-led funnel, and expand customer lifetime value (LTV) before they have the resources to hire specialized growth personnel.

PLG Activation & Retention Tightening

Established product-led growth companies utilize Skene to systematically tighten their activation metrics and strengthen retention loops. The platform's automated experimentation identifies the most effective paths to value and optimizes lifecycle automation, driving higher feature adoption and reducing churn without requiring additional engineering or growth headcount.

Legacy Stack Replacement

Companies frustrated with traditional, brittle customer experience tools (like manual tour builders and UI overlay widgets) use Skene to replace their legacy stack. Skene's code-native approach automatically updates flows with every deploy, eliminates performance-breaking third-party scripts, and brings data out of siloed dashboards, integrating growth directly into the owned codebase.

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 in-product experiences and data-driven optimizations.

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 frequently break with application updates. Skene is fundamentally different; it reads your actual codebase to automatically generate and update onboarding, analytics, and lifecycle automation. When you push new code, Skene's flows self-adjust, ensuring resilience and deep integration with your product.

How long does it take to set up Skene?

Setup is designed to be exceptionally fast, taking less than 60 seconds. You simply connect your GitHub or GitLab repository, granting read-only access. Skene then automatically analyzes your codebase to generate initial PLG flows and insights. No initial code changes, API modifications, or complex configuration is required.

Is my source code secure with Skene?

Absolutely. Security is a primary concern. Skene only requires read-only access to your repository, meaning it cannot push or alter your code. All analysis is performed within a secure, isolated environment. Your code remains yours, and the growth logic Skene helps implement is added to your own codebase under your control.