
Spenser Skates
@spenserskates • 12,003 subscribers
CEO, cofounder @Amplitude_HQ
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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 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 Claude 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.
Spenser Skates334,983 views • 8 months ago

Today we're launching Agent Analytics Every team shipping an AI agent has the same blind spot. Offline evals pass, you ship, and then you have no idea what's happening in production. AI fails silently. Users ask a question and get different answers. They all look 'engaged' in a classic dashboard. You don't know who got a great response and who got a terrible one. Agent Analytics solves it: - Every session scored out of the box on task completion, response quality, friction, safety, and negative feedback - Topic clustering across thousands of conversations, so you know if a failure hits 1 user or 10,000 - Eval agents that watch for regressions, and if you want will file a Linear ticket or the pull request themselves - Agent quality sits next to product data, so 'payment scheduling fails 31%' becomes 'which renewals did that cost us?' The Economist got their agent to a 96.9% task success rate and cut weekly failures 84%. Included on every plan. Free tier included.
Spenser Skates56,442 views • 1 month ago

Today we're introducing Wave. A proactive product agent that helps teams build self-improving products. Every product team runs the same loop. Build, ship, use, learn. AI has made building and shipping extraordinarily fast. Understanding usage and learning still happen by hand. Wave runs the whole loop: - Analyzes your Amplitude data for signals across analytics, feedback, session replays, error logs, agent traces, and experiment results - Surfaces opportunities in the form of full product specs that you or your agents can approve and ship - Tracks the experiments and outcomes of what you've built so you can start the loop over again Your product learns what works and gets smarter every cycle:
Spenser Skates117,847 views • 4 months ago

Watch the Analytics League Championship Grand Finals to crown the world's fastest data analyst! See who can accurately analyze data and share insights in the least amount of time. 📈📊💻⏱️💨 5 time world champion and Amplitude expert Olly Smyth is going up against newcomer Frank Lee using Claude with Amplitude MCP. 👨🏽💻🆚👨🏻💻🥊🏟️ WATCH LIVE NOW (and check out Amplitude MCP in the thread below):
Spenser Skates76,254 views • 1 year ago

Introducing Headless Amplitude. Say bye bye to the user interface. Agents are now first class users of Amplitude. - All core areas of Amplitude are now accessible via MCP server and we've optimized the interface for minimal token consumption - Developer CLI to manage events, experiments, flags, and projects so you can make changes in Amplitude deterministically - Service accounts so bots and scripts can query Amplitude on their own accounts In August alone, 6.3M MCP tool calls ran through Amplitude, 5x what we saw in March. Querying product data is now our fastest growing agent use case. You shouldn't have to log into the 100th SaaS dashboard to understand what your users are doing. Amplitude can show up in Codex, Claude, Cursor, or whatever agent your team is already using. We’re building toward that future with MCP, developer CLI, service accounts, and agent readable experiences. Use Amplitude without using the UI.
Spenser Skates10,705 views • 1 month ago

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:
Spenser Skates32,477 views • 1 year ago

We're opening up our Amplitude AI Agents Beta program today to every Amplitude customer. They are always on, persistent, stateful, and task specific agents. They can: -Automatically analyze charts and monitor dashboards -Perform root cause analysis -Analyze hundreds of session replays -Come up with strategies for improving conversion Sign up, try it out, and let me know what you think.
Spenser Skates28,089 views • 1 year ago

Today we're launching Amplitude Custom Agents. Teammates that automate recurring workflows on your product data, 24/7. The signal your team needs already exists in Amplitude. Getting it to the right person, in the right format, before the moment passes still requires someone to do the assembly. Custom Agents change that: - Describe the job once: give the agent a name, instructions, and output format and it runs that workflow on schedule - Connects to the tools your team already works in: Slack, Jira, Linear, GitHub, and more - Runs on behavioral data from Amplitude, so the output reflects what your users actually did - Pushes it to systems where you work: a filed ticket in Linear, a Slack message, a doc ready before a customer call If you're lacking inspiration, here are a bunch of use cases you can start from: Have fun!
Spenser Skates11,426 views • 4 months ago

We're excited to introduce the first fully automated AI Analyst: Amplitude Global Agent Global Agent can do anything a human can do in Amplitude. You can go from creating a cohort to deploying a guide in a few minutes. Global Agent is also available via our new Slack MCP.
Spenser Skates11,234 views • 8 months ago
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