usePropane.ai
ResearchRocket.app
UserTesting.com
productboard
Optimal Workshop
UserZoom
Canny.io
Maze
Modem.dev
productboard
Canny.io
Enterpret
Miro
SignalPM
Superteam
UseResponse
Propane is the context layer for product. The infrastructure that gives teams and agents shared context, so the next generation of products is built on something real that customers love.
Modem connects customer feedback signals scattered across different platforms to create a custom context graph that allows you to surface topics and insights around issues that are impacting customers most. Then it allows you to take action on these insights by creating tickets, cross-referencing with data, or communicating with customers directly, closing the loop.
usePropane.ai Modem.devusePropane.ai's answer
We spent years in product leadership watching the same problem repeat itself. Customer data everywhere, context nowhere. Teams rebuilding the same understanding every sprint, agents building without knowing what customers actually need. Propane is the infrastructure we wished existed. The context layer that connects your stack, keeps itself up to date, and gives your team and your agents one shared picture to build from.
usePropane.ai's answer
Our customers are product teams at fast-moving B2B SaaS companies who are already building with a range of coding agents. They are scaling fast and do not want to build their own context infrastructure. They need their agents to work from real customer signals, not assumptions, and they need their whole team aligned on the same picture.
usePropane.ai's answer
Most tools ask you to bring the context. Propane builds it for you. It connects your entire stack into one shared layer that updates automatically, so your team and your agents always build from the same picture of what customers need. No manual upkeep, no context gaps.
usePropane.ai's answer
Because the problem is not insight, it is shared context. Other tools help you collect or analyse. Propane gives your whole team and your agents one live layer to build from. That is what makes product teams faster and agents more accurate.
usePropane.ai's answer
Product teams at B2B SaaS companies who are already building with a range of coding agents and need their agents to build from real customer context, not assumptions.
usePropane.ai's answer
We build on a modern, multi-modal AI stack using best-in-class models and infrastructure. Deep native integrations and MCP connectors keep your data flowing in real time. Currently web-based, with enterprise-grade security built in from day one.
ResearchRocket.app - AI-powered user research tool for founders. Validate business ideas with concept testing, pre-launch surveys, and waitlist landing pages.
productboard - Beautiful and powerful product management.
UserTesting.com - Usability testing has never been easier. Get videos of real people speaking their thoughts as they use websites, mobile apps, prototypes and more!
Canny.io - Canny helps you collect and organize feature requests to better understand customer needs and prioritize your roadmap.
Enterpret - Enterpret is the leading customer feedback analytics platform that unifies large volumes of feedback across tickets, calls, and reviews to surface customer insights and drive product decisions faster.
Optimal Workshop - A User Research Platform that helps you and your team make design decisions with confidence.