Thomas N. Hansen

Al has collapsed the time it takes to ship a feature. Now it's all about shipping the right thing. It's just as hard as it ever was. As coding gets automated, agentic analytics becomes the bottleneck. Teams that win will build within context rich environments that capture user behavior and customer feedback, making that data accessible to both builders and agents. Today @Amplitude_HQ is launching our Al Analytics Platform with Agents and MCP. Autonomous analytics that helps builders and coding agents ship products that their customers actually want. Just as our partner @claudeai has reinvented software, Amplitude is reinventing analytics for the Al age. We have achieved 76% accuracy for complex production grade queries and agentic usage has grown 10x in 3 months. Don't just build fast, build what's right. Try it for free, today.

Al has collapsed the time it takes to ship a feature. Now it's all about shipping the right thing. It's just as hard as it ever was. As coding gets automated, agentic analytics becomes the bottleneck. Teams that win will build within context rich environments that capture user behavior and customer feedback, making that data accessible to both builders and agents. Today @Amplitude_HQ is launching our Al Analytics Platform with Agents and MCP. Autonomous analytics that helps builders and coding agents ship products that their customers actually want. Just as our partner @claudeai has reinvented software, Amplitude is reinventing analytics for the Al age. We have achieved 76% accuracy for complex production grade queries and agentic usage has grown 10x in 3 months. Don't just build fast, build what's right. Try it for free, today.

We're proposing an open standard for tracing agent conversations to the code they generate. It's interoperable with any coding agent or interface. agent-trace.dev

People often ask how we balance speed and quality at @tryramp. We don’t. Because speed is how you get to quality. Even the best hitters in baseball miss 70% of the time. A .300 batting average means the world’s best still fail twice as often as they succeed. Building products is no different. Even if you deeply understand your customer, you’ll still be wrong most of the time — it just takes iteration to discover what actually works. Take two teams: Team A ships every 2 weeks. Weeks 2, 4, 6, 8 — all wrong. Week 10 — nailed it. Team B waits for “perfect.” Week 8 — wrong. Week 16 — wrong. Week 24 — finally right. Team A made more mistakes, but found truth faster. Team B “protected” quality and ended up slower, later, and with less conviction. In the real world, there’s no limit to your at-bats per inning. You can swing 100 times if you design your org and culture for it. Speed isn’t a trade-off with quality. Speed is the way to get to quality.