Signal
AI product analytics engineer
157 followers
AI product analytics engineer
157 followers
Signal uses multimodal AI to watch millions of sessions, tag them with english prompts, and turn them into metrics and dashboards. You can also chat with your sessions using a deep research interface to find what’s really broken. No custom event instrumentation. No analytics infra to build or maintain.
Hey Product Hunt! 👋
We’re Aditya and Yash, makers of Signal, and we’re excited to launch today!
🚀 Why we built Signal
Traditional product analytics tools rely heavily on manual event instrumentation — you define events, wait for deploys, and still end up guessing why users behaved a certain way.
We felt this was backwards.
So we built Signal, an AI-native product analytics engineer that understands user behavior directly from session replays, with zero custom events.
💡 How Signal is different
Most analytics tools tell you what happened. Signal helps you understand why it happened.
Instead of:
Setting up dozens of custom events
Binge-watching session replays
Writing SQL or endlessly building dashboards
With Signal, you can:
🧠 Label sessions in plain English (no instrumentation)
🔍 Search & chat with sessions like “users who struggled with checkout”
📊 Get instant metrics (funnels, retention, trends) from AI-generated tags
🎥 Watch only the right sessions — no more random replays
Signal’s multimodal AI watches sessions end-to-end, understands user flows, and turns raw replays into structured insights automatically.
🎯 Who it’s for
Product, growth, and engineering teams who want:
Faster answers
Fewer dashboards
Zero dev dependency for analytics
We’d love your feedback, questions, or skepticism — drop them below 🙌
Thanks for checking out Signal!