TL;DR: Propane is an AI-powered customer context platform that gives product teams and AI agents a single, always-current view of every customer — automatically collected from all your tools. Built by a team of SaaS and deep learning veterans, it eliminates the context gap between product managers and coding agents. Sign up at usepropane.ai and use code PH001 for three months free on the base plan.
Every product team knows the friction: customer insights scattered across Jira, Slack, Intercom, support tickets, and a dozen other tools — no single source of truth. When you hand off a brief to an AI coding agent, it’s working blind. Propane is built to close that gap.
Launched today on Product Hunt with 287 upvotes, Propane centralizes everything your team knows about customers into one connected, always-current workspace. It integrates with your existing tools, indexes customer data automatically, and surfaces a shared canvas where both humans and AI agents operate from the same foundation. No more copy-pasting, no more stale docs, no more context switching.
Propane: Automatic Customer Context for Product Teams and AI Agents
The product’s three-step workflow is intentionally simple:
Key Features
- Collect: Automatically pulls customer feedback, signals, and market data from all connected tools into one shareable context — your team’s collective memory, maintained in real time.
- Collaborate: Product teams and AI agents work in the same canvas. No document ping-pong, no version drift, no context switching between systems.
- Commit: Hand off directly to coding or design agents with a canonical dataset built for meaningful outcomes — not guesswork from incomplete briefs.
- Always-on, always secure: Propane maintains context in the background so your team is always working from fresh, verified data.
- Flat, capped pricing: One price, unlimited users and tools. You only pay for new context indexed each month — with a hard cap and no surprise overages.
Who Propane Is For
Propane is purpose-built for product teams at growth-stage SaaS companies actively building with AI coding agents — and tired of rebuilding customer context infrastructure from scratch at every new role. If your PMs are spending more time synthesizing data than actually talking to customers, this tool is designed for that exact pain.
How Propane Compares
vs. Dovetail: Dovetail is a dedicated user research repository that requires manual tagging and synthesis. Propane automates context collection and makes it directly agent-ready — it’s less of a research archive and more of a live operating layer your agents can actually use.
vs. Notion / Confluence: General-purpose wikis are static by default. Propane is dynamic — continuously pulling new signals and staying current. Your Notion page about Customer Segment A is probably already stale; Propane’s context isn’t.
vs. Productboard: Productboard focuses on idea prioritization and roadmap management. Propane sits at the context layer beneath it — feeding agents and PMs the same unified customer intelligence before roadmap decisions are even made.
For teams that also need their customer data to power outbound marketing, automated follow-up sequences, and CRM workflows, Automated Sales Machine offers an all-in-one CRM and marketing automation platform worth evaluating alongside Propane.
Our Take
The founding thesis — that the Cursor moment is coming for product management, not just engineering — is compelling and well-timed. AI coding agents are only as good as the context they receive, and most teams are still manually bridging that gap with copy-paste and doc links. Propane attacks a real problem with clean architecture. Early traction (287 upvotes, 72 comments, 5.0/5 on launch day) suggests the market agrees. The flat, capped pricing model is a smart differentiator in a space where per-seat costs compound fast. Worth a trial — especially at three months free with code PH001.
👉 View Propane on Product Hunt | See how Automated Sales Machine can complement your product stack →