Spenser Skates

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.

@rachelwolan @vinaygo Awesome! I’ll email you

@spenserskates @vinaygo Would love that!

@vinaygo Congrats and amazing launch, Vinay!

Built Agent Analytics to connect what your agent does to the business outcomes you actually care about. Co-developing with a few companies - DM me or sign up using the link in the blog!

@rachelwolan Thanks Rachel!! We'd love to have you try it out at Webflow, could I send @vinaygo to co build this with you guys?

@spenserskates Very excited to check this out!

@vinaygo is looking to develop Agent Analytics with a few companies. Please let him know if you want to use it and you can get one of the best engineers at Amplitude working directly with you to build what you want!

@daraladje too real

@spenserskates here's to 13 years

Higher speed of iteration means more data means you beat everyone else. The difference with AI is dramatic- you can easily test 5, 10, 100 times more. The first iteration of a product never survives first contact with users.

@sandhya @Amplitude_HQ Thank you for being Amplitude's secret weapon!

@spenserskates So thrilled to work on this with @Amplitude_HQ. Combining llm traces with user behavior is incredible context for coding agents, being able to tell which harness update improved user retention will be 🤯🤯

@frankdotlee Where's the leaderboard of trace analysis??

it's been SOO much easier to monitor and improve our agents by having traces in the product + gamechanger to be able to understand the downstream product impact from agent performance. so excited to bring this to more customers so they can have their product + agent analytics in one place!

@jiabinlu123 sounds familiar 😊

@spenserskates Starting with our own problem is great! Building for yourself is the only way to give your product a nonzero chance of success in the new world.

@_bgiori Self improving products are so close! Dynamically improving software for each one of us all the time

@spenserskates Self-improving agents, here we come.

@ArBose Congrats on the launch, Arnab! Very excited for us to try this out

@ollysmyth_ @ycombinator Had to follow the trend here at Amplitude 😆

Black is the new blue. I analyzed 20 years of @ycombinator startup logos. 2,000+ companies, 2007 to 2026. Almost half of recent YC startups now use black logos. Black has replaced blue as the dominant brand color. But the history reveals something useful for anyone building right now. Here's what I found 🧵

@danshipper would love to do this for Amplitude @frankdotlee

i made a growth investigator skill in Codex that looks through all of your PostHog / prod database data and then finds the top bottlenecks and insights in your product it works extremely well:

@frankdotlee @Amplitude_HQ Step 1 towards self improving products. Incredible

just built a /discover-opportunities skill that looks across your @Amplitude_HQ data then finds the top opportunities to improve your product and growth 👀📈 it prioritized exactly the set of problems i previously spent hours scouring my data to find and is now recommending a bunch of fixes i can push to fix via claude code, codex, or cursor. this is 100x more powerful than other product analytics tools since we're already using agents to pre-analyze insights across your product: - pre-clustered themes from customer feedback (including slack, zendesk, gong, and public reviews) - top highlights and summaries from session replays - anomalies firing in active charts/dashboards/analytics - active experiments and how they're trending product agents are much more powerful when you have all of your behavioral data in one place and make it all accessible via mcp ❤️

@zeeg @clairevo We have a product, want to use it?

@clairevo Idk why product analytics tools haven’t embraced LLMs yet Clear opportunity

you should be doing this weekly 👇

Amplitude CEO @spenserskates says the SaaSpocalypse is real, and your old moat is dead. The only moat now is speed of innovation: "You have to be pushing the bleeding edge of what capabilities are. If you create a company that can do that, that's what customers will buy." "What the SaaSpocalypse has gotten right is - if you look at the median SaaS company, their innovation has actually slowed to a standstill." "It's crazy how little they ship in terms of net new products." "Speed of using the bleeding edge of these model capabilities is all that matters. You're even seeing it in the foundational model companies. Opus was the hottest thing a week ago, then it Codex literally launched the same day, saying, 'We're even better, and we're faster and we're on Cerebras chips.' I think all that matters is the rate of improvement." "It's like sushi. Buyers are always going to want the best thing. So if you're keeping up with innovating the best thing, you will be able to charge a premium. It's fine that the 7/11 gas station now sells sushi. It's not going to put Jiro in Japan out of business." "The lesson is - there is no moat anymore from what we've built. There's only a moat if we're able to deliver the most bleeding edge capability." From his February appearance on the show.

big fan of @cursor_ai automations + scheduled tasks for agents ❤️ i’m now running a /daily-brief skill that uses opus or codex to navigate @Amplitude_HQ mcp, review all my product dashboards, active experiments, incoming user feedback, and session replays each morning then push me issues that i can kickoff to coding agents. sooo crazy to see how the SDLC is evolving on a day to day basis!!