# Skene > Code-first product-led growth automation for developers. Skene reads your codebase and your Supabase project, generates a prioritised growth plan, and automates lifecycle emails and in-app notifications — without leaving your repo. Skene is an open-source CLI and a managed dashboard. The CLI analyses code and drafts growth features; the dashboard deploys triggers into your linked Supabase project and runs the state engine that fires emails, webhooks, and in-app actions against real-time events. This file is a machine-readable index for large language models. For the expanded plain-text corpus, see [/llms-full.txt](/llms-full.txt). ## Company & trust - [About Skene](https://www.skene.ai/about): Founding team, mission, and how we think about PLG for developers. - [Editorial standards](https://www.skene.ai/editorial): Authorship, fact-checking, AI-assistance disclosure, corrections policy, and sponsorship stance for everything published on skene.ai. - [Contact](https://www.skene.ai/contact): Support email (support@skene.ai), Helsinki office, GitHub issues/discussions, Reddit community. - [Privacy](https://www.skene.ai/privacy): Data handling and user-data policy. - [Terms](https://www.skene.ai/terms): Service terms. ## Product - [Product overview](https://www.skene.ai/product): What Skene is and how it fits into a developer-led growth stack. - [How it works](https://www.skene.ai/product/how-it-works): The three-agent architecture: Product Manager, Growth, Go-to-market. - [Features](https://www.skene.ai/product/features): Full feature inventory including schema intelligence, triggers, and state engine. - [Architecture](https://www.skene.ai/product/architecture): System diagram — CLI, dashboard, linked Supabase, ingest path. - [Integrations](https://www.skene.ai/product/integrations): Supabase, Resend, Stripe, Slack, GitHub, GitLab, Bitbucket. - [Security](https://www.skene.ai/product/security): Data handling, encryption, RLS, and compliance posture. - [Pricing](https://www.skene.ai/product/pricing): Pro ($29), Scale ($99), Ultra ($199) plans and token limits. ## Solutions - [Onboarding](https://www.skene.ai/solutions/onboarding): Shorten time-to-value for new accounts. - [Customer success](https://www.skene.ai/solutions/customer-success): PLG-native CS motions driven by product signals. - [Lifecycle automation](https://www.skene.ai/solutions/lifecycle-automation): Event-driven emails, in-app prompts, and webhooks. - [Retention & churn](https://www.skene.ai/solutions/retention-and-churn): Churn prediction and re-engagement loops. - [Customer journeys](https://www.skene.ai/solutions/customer-journeys): Map and automate end-to-end product journeys. ## Product-led growth reference - [Product-led growth (PLG) reference hub](https://www.skene.ai/product-led-growth): A system-level reference for product-led growth (PLG): how it works, when it makes sense, and how the other PLG guides on this site fit together. - [What is product-led growth?](https://www.skene.ai/product-led-growth/what-is-plg): A canonical definition of product-led growth (PLG), how it compares to sales- and marketing-led models, and what it means for product, data, and go-to-market teams. - [AI vs traditional product-led growth](https://www.skene.ai/product-led-growth/ai-vs-traditional-plg): How AI-native products change activation, retention, and experimentation patterns in product-led growth. - [Onboarding vs activation](https://www.skene.ai/product-led-growth/onboarding-vs-activation): How to distinguish onboarding from activation, define the right activation events, and design flows that reliably lead new users to value. - [Retention loops](https://www.skene.ai/product-led-growth/retention-loops): Retention loops are self-reinforcing cycles that bring users back to your product repeatedly. Learn how to design, measure, and optimize retention loops that drive long-term engagement and expansion in product-led growth. - [Common PLG failures](https://www.skene.ai/product-led-growth/common-failures): Typical ways product-led growth efforts go wrong, and a structured way to debug a struggling PLG motion. - [PLG metrics](https://www.skene.ai/product-led-growth/plg-metrics): A reference for measuring product-led growth: key metrics across the PLG funnel and loops, including AI-specific quality and trust signals. ## Playbooks - [All playbooks](https://www.skene.ai/resources/playbooks): Index of production-tested PLG playbooks. - [Reduce time-to-value for new accounts](https://www.skene.ai/resources/playbooks/reduce-time-to-value): Design onboarding, milestones, and instrumentation so new users reach a real outcome in hours instead of weeks. - [Improve user activation rates](https://www.skene.ai/resources/playbooks/improve-user-activation): Define a precise activation event, redesign onboarding around it, and instrument progress so you can systematically lift activation. - [Onboarding without mature event instrumentation](https://www.skene.ai/resources/playbooks/onboarding-without-events): Use proxy signals, qualitative insight, and a staged instrumentation roadmap to move from guesses to measurable onboarding. - [Design self-serve retention loops](https://www.skene.ai/resources/playbooks/self-serve-retention): Move beyond one-time activation by designing product loops that create habitual, compounding usage in self-serve accounts. - [Run PLG with a small product and success team](https://www.skene.ai/resources/playbooks/plg-with-small-teams): Prioritize a narrow set of journeys, metrics, and automations so a small team can operate PLG without burning out. - [Route accounts to human touch using product signals](https://www.skene.ai/resources/playbooks/route-accounts-to-human-touch): Create routing rules that use product signals to decide when sales or success should step in, instead of treating all engaged accounts the same. - [Detect false activation and shallow success](https://www.skene.ai/resources/playbooks/detect-false-activation): Stress-test your activation definition and metrics so you can distinguish real customer success from shallow, one-off wins. - [Recover stalled but high-potential accounts](https://www.skene.ai/resources/playbooks/recover-stalled-high-potential-accounts): Use product signals and targeted plays to bring back accounts that looked promising but quietly stalled before they grew. - [Design expansion without introducing sales friction](https://www.skene.ai/resources/playbooks/expansion-without-sales-friction): Add expansion mechanics that feel natural inside the product so accounts can grow usage and spend without heavy, blocking sales touchpoints. - [Instrument leading indicators, not lagging metrics](https://www.skene.ai/resources/playbooks/instrument-leading-indicators): Shift your instrumentation from purely lagging outcomes to a small set of predictive product signals that give you early warning and opportunity. - [Handle regression after product changes](https://www.skene.ai/resources/playbooks/handle-regressions-after-product-changes): Add guardrails around releases and pricing changes so you can see and respond quickly when PLG metrics regress. - [Avoid over-automation in early PLG](https://www.skene.ai/resources/playbooks/avoid-over-automation-early-plg): Protect learning and trust by keeping some flows manual until you understand user behavior and edge cases well enough to automate safely. - [Redesign activation when value is delayed](https://www.skene.ai/resources/playbooks/delayed-value-activation): Introduce intermediate milestones, proxy value, and scaffolding so users stay engaged while waiting for full outcomes. - [Segment activation by account maturity](https://www.skene.ai/resources/playbooks/segment-activation-by-maturity): Define different activation journeys and success criteria for new, returning, and mature accounts so each gets the right path to value. - [Decide when PLG should stop](https://www.skene.ai/resources/playbooks/decide-when-plg-should-stop): Use clear criteria to decide when to rebalance from pure PLG toward hybrid or sales led motions without abandoning what works. ## Blog - [Blog index](https://www.skene.ai/resources/blog): All Skene blog posts, case studies, and long-form guides. - [How to Speed Up Development (Without Breaking Everything)](https://www.skene.ai/resources/blog/speed-up-development-without-breaking-everything): Practical strategies to accelerate development speed without sacrificing code quality. Real tactics from founders who ship fast and maintain stable products. - [How Skene Helped CelX Build V1 and Pivot from SaaS to Agents-as-a-Service](https://www.skene.ai/resources/blog/celx-plg-case-study): A three-run case study: CelX used Skene as a continuous build loop to fix onboarding leakage, harden security for agentic execution, and pivot from seat-based SaaS to outcome-based Agents-as-a-Service. - [How redesigning Pitchkit's creation page cut time to first pitch by 59%](https://www.skene.ai/resources/blog/pitchkit-creation-page-redesign): Pitchkit's fastest creation method (URL generation) was buried as one of four equal links. Only 12% of users tried it. I promoted it to hero, added progress animations, and switched to a card layout. Completion went from 38% to 58%. - [How Skene's PLG analysis helped Pitchkit cut first-pitch drop-off by 34%](https://www.skene.ai/resources/blog/pitchkit-plg-case-study): I ran Skene's PLG skills on my pitch deck builder. The analysis found decision paralysis on the creation page. I built a 4-step onboarding survey based on the recommendations. First-pitch completion jumped 34%. - [AI onboarding tools compared: what actually works in 2026](https://www.skene.ai/resources/blog/ai-onboarding-tools-comparison): An honest comparison of AI-powered onboarding tools for SaaS in 2026, covering features, pricing, and which type of team each tool fits. - [SaaS onboarding checklist template (2026): from signup to activation](https://www.skene.ai/resources/blog/saas-onboarding-checklist-template): A ready-to-use SaaS onboarding checklist template covering every step from signup to activation, with examples and metrics. - [What is activation rate and how to improve it (with 2026 benchmarks)](https://www.skene.ai/resources/blog/activation-rate-benchmarks-improvement): Everything you need to know about activation rate: how to define, measure, and improve it, with benchmark data by product type. - [Churn prediction for SaaS: how to spot at-risk accounts before they leave](https://www.skene.ai/resources/blog/churn-prediction-product-signals): How to identify at-risk SaaS accounts using product usage signals, support data, and engagement patterns before they churn. - [Developer onboarding: how to get developers to first API call in under 5 minutes](https://www.skene.ai/resources/blog/developer-onboarding-guide): Patterns from Stripe, Twilio, and Vercel for developer onboarding that gets developers to their first API call in minutes, not hours. - [Reverse trial strategy: when freemium beats free trial (and vice versa)](https://www.skene.ai/resources/blog/reverse-trial-strategy): A decision framework for choosing between reverse trials, freemium, and free trials in your PLG pricing strategy. - [How to define product-qualified leads (PQLs) for your SaaS product](https://www.skene.ai/resources/blog/how-to-define-pql-criteria): Step-by-step guide to defining PQL criteria, building a scoring model, and routing product-qualified leads to sales effectively. - [How to reduce time-to-value in SaaS onboarding (with examples)](https://www.skene.ai/resources/blog/time-to-value-saas-onboarding): A practical framework for measuring and reducing time-to-value in SaaS onboarding, with real examples from fast-growing companies. - [Self-serve onboarding without a CS team: the complete playbook](https://www.skene.ai/resources/blog/self-serve-onboarding-without-cs-team): How to build effective self-serve onboarding when you have no customer success team. A playbook for early-stage SaaS with zero CS headcount. - [Expansion revenue playbook: how top SaaS companies grow 40%+ from existing customers](https://www.skene.ai/resources/blog/expansion-revenue-playbook): Learn how top SaaS companies drive 40%+ of new ARR from expansion revenue. Frameworks for upsells, cross-sells, and usage-based growth. - [Product-led sales: how to add sales to your PLG motion without killing self-serve](https://www.skene.ai/resources/blog/product-led-sales-guide): A guide to implementing product-led sales (PLS) alongside your PLG motion. Learn when to layer in sales, how to define PQLs, and avoid killing self-serve. - [Usage-based pricing for SaaS: how to implement with Chargebee, Stripe, or Paddle](https://www.skene.ai/resources/blog/usage-based-pricing-implementation-guide): A practical guide to implementing usage-based pricing in your SaaS product, comparing Chargebee, Stripe, and Paddle for metering and billing. - [Retention loops vs growth loops: which to build first](https://www.skene.ai/resources/blog/retention-loops-vs-growth-loops): A decision framework for choosing between retention loops and growth loops in your PLG motion, with design templates and real examples. - [Stalled accounts: how to re-engage users who stopped onboarding](https://www.skene.ai/resources/blog/stalled-accounts-reengagement-playbook): A practical playbook for identifying and re-engaging stalled SaaS accounts that stopped onboarding midway, with email sequences and product signals. - [The PLG metrics dashboard: 12 metrics every product-led team should track](https://www.skene.ai/resources/blog/plg-metrics-dashboard): The 12 essential product-led growth metrics you should track, with benchmarks and a framework for building your PLG dashboard. - [BoxyHQ SaaS Starter Kit Review: PLG Audit 2026](https://www.skene.ai/resources/blog/plg-analysis-boxyhq-saas-starter-kit): Is the BoxyHQ SaaS Starter Kit good for product-led growth? We audited signup, feature gating, analytics, and billing. Score: 4.2/10 for PLG. Strong enterprise features (SAML, SCIM), but no plan-based gating or trials. - [ixartz SaaS Boilerplate scored 3/10 for PLG. Here is why.](https://www.skene.ai/resources/blog/plg-analysis-ixartz-saas-boilerplate): We audited the popular ixartz/SaaS-Boilerplate against ten product-led growth criteria. Free version lacks checkout, trials, and analytics. Pro pricing locks the parts you need to grow. Full breakdown plus what to use instead. - [JustShip SvelteKit Boilerplate Review: PLG Audit 2026](https://www.skene.ai/resources/blog/plg-analysis-justship-sveltekit): Is JustShip good for product-led growth? We audited signup, feature gating, analytics, and billing. Score: 2/10 for PLG. Clean auth with PostHog, but Stripe webhooks don't save to database and no feature gating exists. - [Launch MVP Review: Best Supabase SaaS Starter PLG Audit 2026](https://www.skene.ai/resources/blog/plg-analysis-launch-mvp-supabase): Is Launch MVP the best Supabase starter for SaaS? Highest PLG score (5.9/10) with working trials, onboarding, and PostHog analytics. See the full audit and what needs enabling. - [Nextbase Review: Next.js 16 + Supabase Starter PLG Audit 2026](https://www.skene.ai/resources/blog/plg-analysis-nextbase-supabase-starter): Is Nextbase good for SaaS? We audited signup flow, auth, and database schema. Best signup (8/10) among Supabase starters but zero monetization. Score: 3.2/10 for PLG. See what's missing. - [Saasfly Boilerplate Review: PLG Audit 2026](https://www.skene.ai/resources/blog/plg-analysis-saasfly): Is Saasfly good for product-led growth? We audited signup, feature gating, analytics, and billing. Score: 4/10 for PLG. Has PostHog and Stripe, but feature limits aren't enforced — code is commented out. - [SvelteKit Supabase SaaS Starter Review: PLG Audit 2026](https://www.skene.ai/resources/blog/plg-analysis-sveltekit-supabase-starter): Is the CMSaasStarter template good for product-led growth? We audited signup, feature gating, analytics, and billing. Score: 3.7/10 for PLG. Best Stripe integration of any SvelteKit starter, but no analytics or feature gating. - [Vercel Next.js Subscription Payments Template Review: PLG Audit 2026](https://www.skene.ai/resources/blog/plg-analysis-nextjs-subscription-payments): Is the Vercel Next.js Subscription Payments template good for SaaS? We audited signup flow, Stripe integration, analytics, and feature gating. Score: 3/10 for PLG. See what's missing and how to fix it. - [Skene raises €800,000 to turn software products into growth engines with autonomous AI agents](https://www.skene.ai/resources/blog/skene-raises-800k-pre-seed): Turning great tools into widely adopted, revenue-generating products without heavy sales and support is a challenge for most development teams. Skene's AI agents understand a product's code base, driving growth by guiding users to valuable outcomes. - [Best resources for learning product-led growth (2026)](https://www.skene.ai/resources/blog/best-resources-for-learning-product-led-growth): A curated list of the top resources for learning product-led growth in 2026: books, courses, newsletters, communities, and people to follow. - [How to achieve product-led growth?](https://www.skene.ai/resources/blog/how-to-achieve-product-led-growth): A practical playbook for early-stage teams whose PLG deck looks great but revenue doesn't. - [How to choose a CDP for product-led growth?](https://www.skene.ai/resources/blog/how-to-choose-a-cdp-for-product-led-growth): How to pick a CDP that actually supports product-led growth instead of becoming an expensive logging system. - [How to learn product-led growth strategy?](https://www.skene.ai/resources/blog/how-to-learn-product-led-growth-strategy): A practical path to actually learning product-led growth, by running real experiments instead of just reading buzzword decks. ## Glossary - [Glossary index](https://www.skene.ai/resources/glossary): All PLG terms with definitions and examples. - [Product-led growth (PLG)](https://www.skene.ai/resources/glossary/product-led-growth): A go-to-market strategy where the product experience itself drives acquisition, activation, expansion, and retention. - [Activation](https://www.skene.ai/resources/glossary/activation): The moment when a new user reaches a key milestone that strongly correlates with long-term retention or value. - [Time-to-value (TTV)](https://www.skene.ai/resources/glossary/time-to-value-ttv): The time it takes for a new user or account to experience their first meaningful outcome or "aha moment". - [Product-qualified lead (PQL)](https://www.skene.ai/resources/glossary/product-qualified-lead-pql): A lead that has reached a usage threshold or milestone in the product that indicates high buying intent. - [Onboarding journey](https://www.skene.ai/resources/glossary/onboarding-journey): A guided sequence of steps that helps new users reach activation, often personalized by role, use case, or plan. - [Feature adoption](https://www.skene.ai/resources/glossary/feature-adoption): The extent to which users discover, try, and consistently use specific features in your product. - [Expansion revenue](https://www.skene.ai/resources/glossary/expansion-revenue): Revenue from existing customers through increased usage, seat expansion, upsells, or cross-sells. - [Retention cohort](https://www.skene.ai/resources/glossary/retention-cohort): A group of users or accounts who started using your product in the same period and whose retention you track over time. - [Aha moment](https://www.skene.ai/resources/glossary/aha-moment): The moment when a user first experiences clear, personal value from your product. - [Self-serve signup](https://www.skene.ai/resources/glossary/self-serve-signup): A signup flow where users can start using the product without needing to talk to sales first. - [PLG funnel](https://www.skene.ai/resources/glossary/plg-funnel): A funnel that tracks how users move from acquisition to activation, engagement, and expansion in a product-led motion. - [Free trial vs freemium](https://www.skene.ai/resources/glossary/free-trial-vs-freemium): Two common PLG entry models: time-limited free trials and always-free freemium tiers, each with different tradeoffs. - [North star metric](https://www.skene.ai/resources/glossary/north-star-metric): A single metric that best captures the long-term value your product creates for customers and your business. - [Product usage signal](https://www.skene.ai/resources/glossary/product-usage-signal): A behavioral pattern in your product data that indicates customer intent, health, or risk. - [Onboarding checklist](https://www.skene.ai/resources/glossary/onboarding-checklist): A visible list of key steps new users should complete to reach activation in your product. - [Activation rate](https://www.skene.ai/resources/glossary/activation-rate): The percentage of new users or accounts that reach your defined activation milestone within a given time window. - [Customer health score](https://www.skene.ai/resources/glossary/customer-health-score): A composite metric that summarizes how likely a customer is to renew, expand, or churn based on product usage and contextual signals. - [Onboarding friction](https://www.skene.ai/resources/glossary/onboarding-friction): Any obstacle, delay, or confusion that slows a new user or account from reaching their first meaningful outcome. - [Trial-to-paid conversion rate](https://www.skene.ai/resources/glossary/trial-to-paid-conversion-rate): The percentage of trial signups that become paying customers within or shortly after the trial period. - [Net revenue retention (NRR)](https://www.skene.ai/resources/glossary/net-revenue-retention-nrr): A revenue metric that captures how much recurring revenue you retain and expand from existing customers over a period, including churn and expansion. - [Monthly recurring revenue (MRR)](https://www.skene.ai/resources/glossary/monthly-recurring-revenue-mrr): The predictable revenue a subscription business earns each month from active customers. - [Annual recurring revenue (ARR)](https://www.skene.ai/resources/glossary/annual-recurring-revenue-arr): The annualized value of recurring subscription revenue, used for long-term planning and valuation. - [Churn rate](https://www.skene.ai/resources/glossary/churn-rate): The percentage of customers or revenue lost over a given period. - [Customer lifetime value (LTV)](https://www.skene.ai/resources/glossary/customer-lifetime-value-ltv): The total revenue a customer generates over their relationship with your business. - [Customer acquisition cost (CAC)](https://www.skene.ai/resources/glossary/customer-acquisition-cost-cac): The total cost to acquire a new paying customer. - [Land and expand](https://www.skene.ai/resources/glossary/land-and-expand): A strategy where you acquire customers small and grow revenue through expansion. - [Reverse trial](https://www.skene.ai/resources/glossary/reverse-trial): Users start with full premium access, then transition to free if they do not convert. - [Growth loops](https://www.skene.ai/resources/glossary/growth-loops): Self-reinforcing cycles where user actions drive acquisition of new users. - [DAU/MAU ratio](https://www.skene.ai/resources/glossary/dau-mau-ratio): Ratio of daily to monthly active users, measuring stickiness. - [Product tour](https://www.skene.ai/resources/glossary/product-tour): A guided walkthrough that introduces users to key features. - [Usage-based pricing](https://www.skene.ai/resources/glossary/usage-based-pricing): Pricing where customers pay based on how much they use the product. - [User segmentation](https://www.skene.ai/resources/glossary/user-segmentation): Dividing users into groups based on shared characteristics or behaviors. - [Payback period](https://www.skene.ai/resources/glossary/payback-period): The time it takes to recover the cost of acquiring a customer. - [Product-market fit](https://www.skene.ai/resources/glossary/product-market-fit): When your product satisfies strong market demand. ## Documentation (Skene CLI) - [Skene CLI overview](https://www.skene.ai/resources/docs/skene): The open-source Skene command-line tool. - [Installation](https://www.skene.ai/resources/docs/skene/getting-started/installation): Install the Skene CLI. - [Quickstart](https://www.skene.ai/resources/docs/skene/getting-started/quickstart): First run of Skene against a codebase. - [Analyze](https://www.skene.ai/resources/docs/skene/guides/analyze): Run codebase analysis. - [Build](https://www.skene.ai/resources/docs/skene/guides/build): Generate growth features. - [Plan](https://www.skene.ai/resources/docs/skene/guides/plan): Produce a prioritised growth plan. - [Chat](https://www.skene.ai/resources/docs/skene/guides/chat): Iterative conversation with the Skene agent. - [Configuration](https://www.skene.ai/resources/docs/skene/guides/configuration): Configure the CLI and providers. - [LLM providers](https://www.skene.ai/resources/docs/skene/guides/llm-providers): Supported model providers. - [MCP server](https://www.skene.ai/resources/docs/skene/integrations/mcp-server): Model Context Protocol integration. - [CLI reference](https://www.skene.ai/resources/docs/skene/reference/cli): Command reference. - [Manifest schema](https://www.skene.ai/resources/docs/skene/reference/manifest-schema): skene/ manifest reference. - [Python API](https://www.skene.ai/resources/docs/skene/reference/python-api): Programmatic interface. - [Troubleshooting](https://www.skene.ai/resources/docs/skene/troubleshooting): Common issues and fixes. ## Alternatives & comparisons - [Alternatives hub](https://www.skene.ai/alternatives): Comparisons against major PLG and product-analytics tools. - [Skene vs Amplitude](https://www.skene.ai/alternatives/skene-vs-amplitude) - [Skene vs Mixpanel](https://www.skene.ai/alternatives/skene-vs-mixpanel) - [Skene vs Pendo](https://www.skene.ai/alternatives/skene-vs-pendo) - [Skene vs Segment](https://www.skene.ai/alternatives/skene-vs-segment) - [Skene vs ChurnZero](https://www.skene.ai/alternatives/skene-vs-churnzero) - [Skene vs Totango](https://www.skene.ai/alternatives/skene-vs-totango) - [Skene vs Planhat](https://www.skene.ai/alternatives/skene-vs-planhat) - [Skene vs custom instrumentation](https://www.skene.ai/alternatives/skene-vs-custom-instrumentation) - [Pendo vs Gainsight](https://www.skene.ai/alternatives/pendo-vs-gainsight) - [Gainsight vs ChurnZero](https://www.skene.ai/alternatives/gainsight-vs-churnzero) - [Pendo alternative](https://www.skene.ai/alternatives/pendo-alternative) - [Gainsight alternative](https://www.skene.ai/alternatives/gainsight-alternative) - [ChurnZero alternative](https://www.skene.ai/alternatives/churnzero-alternative) - [Planhat alternative](https://www.skene.ai/alternatives/planhat-alternative) - [Totango alternative](https://www.skene.ai/alternatives/totango-alternative) ## Open source & community - [Skene on GitHub](https://github.com/SkeneTechnologies): Open-source CLI and core. - [Skene repo](https://github.com/SkeneTechnologies/skene): The Skene CLI source and issue tracker. - [r/plgbuilders](https://www.reddit.com/r/plgbuilders): Community for PLG builders. - [Community hub](https://www.skene.ai/community): Discussions and resources. - [Open stack](https://www.skene.ai/open-stack): The open-source stack Skene is built on.