Skene
Skene turns your codebase into a growth engine with AI-driven onboarding and retention loops.
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About Skene
Skene is the world's first fully automated, AI-powered PLG (Product-Led Growth) iteration engine. It is designed to help software products grow autonomously by transforming growth work from a manual, dashboard-driven chore into a self-learning, code-native infrastructure. Built specifically for indie developers, early-stage startups, and scaling PLG companies, Skene eliminates the need for dedicated growth teams by continuously optimizing the core user journey—onboarding, activation, and retention—directly from your codebase. Its core innovation lies in its ability to understand your product's unique "customer code," observing real user actions to detect friction and drop-off points. From this analysis, it automatically generates, A/B tests, and deploys improved user flows, creating a perpetual growth loop that tightens activation, expands lifetime value (LTV), and strengthens retention, all without adding headcount. Skene represents a paradigm shift: growth is no longer a siloed function managed through brittle third-party widgets, but an owned, versionable, and promptable layer of your product's core infrastructure that evolves as you ship code.
Features of Skene
Codebase-Derived Growth Signals
Skene connects directly to your GitHub or GitLab repository with read-only access, performing a deep analysis of your codebase to automatically identify and extract critical growth signals. It scans your repository structure, detects your tech stack (like Next.js), and finds opportunities for onboarding improvement and activation without any manual tagging or snippet injection. This provides a context layer for your AI and ensures your growth logic is always in sync with your latest deploy, breaking free from the "black box" of external analytics scripts.
Autonomous Flow Optimization Engine
The platform acts as a self-learning growth engine that observes user behavior to pinpoint exact moments of friction and activation drop-off. It then autonomously creates multiple improved versions of key user flows, runs controlled experiments to measure their impact on conversion, and automatically deploys the winning configuration. This means your onboarding, activation sequences, and retention loops systematically improve themselves over time, driven by real user data.
Prompt-Driven Growth Implementation
Growth work becomes as simple as issuing a prompt. Instead of complex dashboards and weekly manual meetings, you interact with Skene through natural language commands in your IDE. You can prompt it to analyze your codebase, generate a growth manifest, or implement specific optimizations. This integrates growth directly into the developer workflow, allowing you to "ship growth" with the same agility as shipping features.
Integrated Analytics & Outcome Tracking
Skene provides a comprehensive analytics dashboard that delivers real-time insights into user progress, completion rates, engagement metrics, and critical bottlenecks. You can track essential metrics like time-to-value and measure the direct impact of each automated improvement. All analytics are derived from your code, ensuring data ownership, avoiding performance-breaking third-party scripts, and providing actionable insights without data silos.
Use Cases of Skene
Indie Developer Growth Automation
Solo founders and indie developers use Skene to offload the growth work they simply don't have the hours for. It acts as an automated co-founder for growth, handling continuous optimization of user journeys so the developer can focus exclusively on building core product features, confident that their onboarding and activation are being systematically improved in the background.
Early-Stage Startup "Growth Team in a Box"
For resource-constrained early-stage startups, Skene serves as an immediate, full-fledged growth team. It enables them to launch with a polished, self-optimizing user journey from day one, driving faster product-market fit by maximizing user activation and retention without the cost and time required to hire and manage a specialized growth team.
Scaling PLG Companies
Established product-led growth companies use Skene to tighten their activation funnel and expand customer lifetime value (LTV) without adding engineering or growth headcount. It provides a scalable infrastructure to run thousands of micro-experiments and lifecycle automations, ensuring their growth loops become more efficient and effective as they scale.
Replacing Legacy Growth Stacks
Companies tired of managing a fragmented stack of analytics tools, tour builders, and email automation platforms use Skene to replace it all. It consolidates growth functionality into a single, code-native system that you own and version, eliminating brittle UI overlays, broken scripts after deploys, and the performance tax of external widgets.
Frequently Asked Questions
What is PLG software?
PLG (Product-Led Growth) software is designed to help users discover and realize value within your 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, making the product its own primary driver of acquisition and expansion.
How is Skene different from traditional customer experience software?
Traditional tools require manual tour creation, constant maintenance, and rely on brittle UI overlays that break with every code deploy. Skene is fundamentally different: it reads your actual codebase and automatically generates onboarding, analytics, and lifecycle automation. When you push new code, Skene's understanding and generated flows update themselves automatically, making growth a resilient and integrated part of your development cycle.
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, granting read-only access. Skene then automatically analyzes your codebase to generate and deploy initial PLG flows. No code changes, API modifications, or snippet pasting is required for the initial analysis and setup.
Is my source code secure with Skene?
Absolutely. Security is a core principle. Skene only ever requires read-only access to your repository. All analysis is performed in a secure, isolated environment. We never ask for write access, and your proprietary code remains entirely within your control and ownership at all times.
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