How PLGOS Powers
Scalable AI Workflows.
PLGOS is a product-led growth operating system for B2B SaaS teams. It tracks activation, engagement, and expansion revenue in a single dashboard — built and deployed in 7 days.
What is PLGOS?
Product-led growth sounds simple — let the product sell itself. In practice, it requires stitching together activation data, usage signals, expansion triggers, and automated workflows that most teams manage across five different tools. PLGOS consolidates the entire PLG motion into a single, AI-assisted operating system.
Stack
React · Node.js · Supabase · Stripe
Tags
Shipped in
PLG is a strategy without a system.
PLG is a strategy without a system.
Most B2B SaaS teams believe in product-led growth but execute it through a patchwork of spreadsheets, CRMs, and manual check-ins. Activation data lives in Mixpanel. Expansion opportunities sit in Salesforce. Growth experiments happen in Notion. PLGOS connects all of it.
The result?
Teams keep patching the problem with more tools, more headcount, or more manual work — none of which scales. PLGOS was built to fix the root cause.
What PLGOS solves
Click any use case to explore the full workflow, outcomes, and how it applies to your context.
AI Workflows
Automate product growth actions with AI-triggered workflows based on user behaviour.
Explore use case →Lead Automation
Convert free users to paid customers with intelligent, behaviour-based automation.
Explore use case →Growth Experiments
Run, track, and learn from product growth experiments in a structured system.
Explore use case →Product Analytics
Understand how users actually use your product with event-driven analytics.
Explore use case →Activation Tracking
Define and monitor the activation milestones that predict long-term retention.
Explore use case →Expansion Revenue
Identify and capture expansion opportunities from your existing user base.
Explore use case →How PLGOS is built
Real-Time Behavioural Data
Every user action streams into PLGOS in real-time — no batch jobs, no stale dashboards.
AI-Powered Scoring
PQL scores, churn risk scores, and expansion scores calculated by AI from raw product data.
Workflow Automation Engine
Rules-based automation engine fires actions across email, in-app, Slack, and CRM without code.
Experiment Framework
Structured growth experiment system with automatic statistical significance testing.
Stripe-Native Revenue Tracking
MRR, expansion revenue, and churn attributed to the product signals that caused them.
Supabase-Powered Backend
Scalable real-time database with row-level security and instant API generation.
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