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Spenser Skates

@spenserskates • 11,560 subscribers

CEO, cofounder @Amplitude_HQ

Shorts

We 3x'ed PRs in 6 months at Amplitude by building an autonomous software factory: - PR cycle time 5.2 hours to 44 minutes - Frontend CI: 30 minutes to 3-4 minutes - Bug reports down 55% - 5% of our PRs now come from designers and product managers - 3x the PRs with the same headcount What worked: faster CI, risk-based auto-approval, automated legacy migrations, and the hardest part: cultural changes in the team. Bonus: our designers even built out an interactive video game you can play to tell the story. Data monster speedruns the development pipeline.

We 3x'ed PRs in 6 months at Amplitude by building an autonomous software factory: - PR cycle time 5.2 hours to 44 minutes - Frontend CI: 30 minutes to 3-4 minutes - Bug reports down 55% - 5% of our PRs now come from designers and product managers - 3x the PRs with the same headcount What worked: faster CI, risk-based auto-approval, automated legacy migrations, and the hardest part: cultural changes in the team. Bonus: our designers even built out an interactive video game you can play to tell the story. Data monster speedruns the development pipeline.

63,181 views

Introducing the largest catalog of brand visibility across GPT, Claude, Gemini, and Google AI Overviews. We collected 44k+ prompts to track which brands AI models recommend across every category.

67,763 views

How we run bug fixing loops at Amplitude: - Bug found in Slack > agent ships a fix in minutes - One-off fixes > a system that remembers every bug it's seen - Manual review > risk-scored auto-approval - Testing hygiene still matters, automation isn't a substitute for it If you'd like to learn how to do the same, we've written it up as a dating-manual ebook (“Falling in Love with Loops”) and built the site as a teenage bedroom in Blender + Three.js. Walk the room, click the book to read it, there's a game hidden in the TV: Every product team will run on loops like this. Might as well fall in love now! ❤️🥰

How we run bug fixing loops at Amplitude: - Bug found in Slack > agent ships a fix in minutes - One-off fixes > a system that remembers every bug it's seen - Manual review > risk-scored auto-approval - Testing hygiene still matters, automation isn't a substitute for it If you'd like to learn how to do the same, we've written it up as a dating-manual ebook (“Falling in Love with Loops”) and built the site as a teenage bedroom in Blender + Three.js. Walk the room, click the book to read it, there's a game hidden in the TV: Every product team will run on loops like this. Might as well fall in love now! ❤️🥰

18,069 views

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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.

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.

50,763 views • 11 days ago

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.

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.

334,312 views • 6 months 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:

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:

117,379 views • 3 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):

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):

76,215 views • 10 months ago

Introducing the holy grail of AI Analytics: Automated Insights We've built an AI that works like an expert analyst. It proactively queries your data to figure out what's causing a change. See it in action:

Introducing the holy grail of AI Analytics: Automated Insights We've built an AI that works like an expert analyst. It proactively queries your data to figure out what's causing a change. See it in action:

37,725 views • 9 months 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:

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:

32,420 views • 10 months 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.

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.

28,089 views • 10 months ago

Just redesigned our Amplitude office after 3 years of putting it off. We’re kicking off 3 days a week in person with a sushi event today. What a line!

Just redesigned our Amplitude office after 3 years of putting it off. We’re kicking off 3 days a week in person with a sushi event today. What a line!

16,659 views • 5 months ago

"The way you produce your artifact, your software, is changing. The product development process is completely getting ripped and replaced" Self improving software is coming, and Amplitude is going to be the one to build it.

"The way you produce your artifact, your software, is changing. The product development process is completely getting ripped and replaced" Self improving software is coming, and Amplitude is going to be the one to build it.

26,257 views • 10 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.

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.

11,180 views • 6 months ago

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