Skene
Skene is a PLG iteration engine that automates onboarding tests, activation improvements, and retention loops.
About
Skene is a fully automated PLG iteration engine that helps products grow without growth teams. Built for indie developers and early-stage startups, Skene handles continuous optimization of onboarding, activation, and retention — all based on understanding the customer code. The platform observes user actions to detect friction and activation drop-off. It then automatically creates and tests improved versions of user flows, measures impact, and deploys the winning configuration. This means your onboarding improves itself, activation becomes smoother, and retention loops stay optimized over time. Instead of dashboards full of knobs or weekly manual growth meetings, Skene offers a self-learning growth engine. Indie developers use it to offload growth work they don't have hours for. Startups use it as a “growth team in a box.” PLG companies use it to tighten activation and expand LTV without adding headcount.
Key Features
Repository Analysis
Parses your codebase, APIs, configurations and docs (1M+ tokens) to build a semantic understanding of product flows and touchpoints without requiring code changes.
Automated Onboarding & Activation Optimization
Detects friction and drop-off in user journeys, generates improved onboarding and activation flows, and implements interactive walkthroughs and milestone tracking.
Auto A/B Testing and Deployment
Automatically creates and runs experiment variants, measures impact on key metrics, and deploys the winning configuration so improvements ship without manual orchestration.
Continuous Monitoring & Adaptive Updates
Monitors repository changes and product usage, updating onboarding and retention mechanics automatically as you ship new features to keep growth loops optimized.
How to Use Skene
1) Connect your repo: Authorize Skene with read-only access to your GitHub, GitLab or Bitbucket repository (no code changes required) and select the site(s) to monitor. 2) Provide guidance: In the Repository Info panel add any priorities (e.g., focus on authentication or checkout flows) so the AI knows what to optimize first. 3) Let Skene analyze & generate: Skene parses code, APIs and docs, then generates role-specific journeys, interactive walkthroughs and experiment variants. 4) Monitor & ship: Review experiments and insights in the dashboard; Skene will run tests, measure results and deploy the winning configuration automatically, continuously updating as you ship.