Full stack session recordings capture the entire stack, with all data correlated, enriched, and AI-ready. You have all the context you need to fix bugs, build features, and supercharge your AI tools.
We built Multiplayer because we were tired of incomplete bug reports and “can’t reproduce” tickets. QA says “it doesn’t work,” support says “i need more info”, and developers spend hours piecing it together.
Multiplayer records full-stack sessions. Where traditional recordings stop at the UI, we go deeper. We capture the entire stack (frontend screens, backend traces, logs, metrics, and full request/response content and headers) all correlated, enriched, and AI-ready.
We offer three recording modes:
On-demand (browser extension, widget, or SDK)
Continuous (no repro steps are needed)
Remote (when users don’t notice or report an issue)
Once a session is captured, you can annotate directly on screenshots, API calls, and traces, share it as a complete bug report, or even feed the context into AI tools (via MCP server) to generate fixes or build new features.
What we learned while building:
Capturing context without slowing down apps is harder than it sounds
Recordings only matter if they’re shareable and annotated, otherwise they’re not as actionable
We’d love your feedback:
👉 Would you use this mainly for debugging, testing, or feature development?
👉 Have you tried session replays before? What worked, what didn’t?
I like that it’s not just “replay the UI.” Most session tools stop there and you still have to dig through traces or metrics separately. Here you can follow the full path of what happened, which makes fixing issues way faster.
I’m Steph, the CEO and cofounder. I’m really proud of what we’ve built as a team. This started with us just wanting to find a better way to work on distributed systems, and it’s been amazing to see it turn into something that can save hours of unnecessary work. Thanks for checking it out!
Hey PH! From an engineering perspective, the hardest part was capturing full-stack context without slowing apps down. We experimented with a bunch of approaches before landing on something lightweight + OpenTelemetry-compatible. I’m happy to answer any questions!
Thrilled to launch Multiplayer today 🚀 I’m Head of Community and I’d love to hear any feedback of how you’d see it fit into your workflows (or what features you’d wish we supported)!
I love the idea of engineers having more context. Less time debugging means more time shipping feature I design! @vladi_stevanovic
I like this reduces ‘it works on my machine’ debates. If the full session is captured, the team sees the same truth. @vladi_stevanovic
Hi Product Hunt 👋
We built Multiplayer because we were tired of incomplete bug reports and “can’t reproduce” tickets. QA says “it doesn’t work,” support says “i need more info”, and developers spend hours piecing it together.
Multiplayer records full-stack sessions. Where traditional recordings stop at the UI, we go deeper. We capture the entire stack (frontend screens, backend traces, logs, metrics, and full request/response content and headers) all correlated, enriched, and AI-ready.
We offer three recording modes:
On-demand (browser extension, widget, or SDK)
Continuous (no repro steps are needed)
Remote (when users don’t notice or report an issue)
Once a session is captured, you can annotate directly on screenshots, API calls, and traces, share it as a complete bug report, or even feed the context into AI tools (via MCP server) to generate fixes or build new features.
What we learned while building:
Capturing context without slowing down apps is harder than it sounds
Recordings only matter if they’re shareable and annotated, otherwise they’re not as actionable
We’d love your feedback:
👉 Would you use this mainly for debugging, testing, or feature development?
👉 Have you tried session replays before? What worked, what didn’t?
Thanks for checking it out!