Jake

Making places more accessible, sharable and memorable

[Spenser Skates @spenserskates]

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: https://t.co/ulbrPjgHed

[Spenser Skates @spenserskates]

You can now see Amplitude charts directly in Cursor without having to change your context.

MCP adoption continues to grow!

[Frank Lee @frankdotlee]

excited to launch an early preview of amplitude's plugin and skills library, designed to help you become a superhuman analyst using @claudeai cowork ❤️

ever been unsure what use cases you can run with amplitude's mcp? we're releasing a fast-growing library of expert-level workflows you can trigger in ai clients like claude with a simple slash command.

first up: deep chart analysis 📊
say you spot an unusual trend in a chart or metric and need to understand what's driving it. the /analyze-chart skill will:
- investigate the anomaly automatically
- pull related charts with properties correlated to the trend
- gather context from active experiments, deployments, and customer feedback
- hypothesize where the change is coming from by synthesizing these data sources together

instead of manually creating 15 charts, running the segmentations yourself, and piecing together an explanation in a doc, this skill handles it in one click 🔥

[Spenser Skates @spenserskates]

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.

[Amplitude @Amplitude_HQ]

🎉 Meet our Q3 Value Award winners: Mari Anderson, Teaja Smith, Jack Leiker, and Jake Lee!

These folks lead with humility, ownership, growth mindset, and customer centricity, and inspire us every day 💙 https://t.co/FkpnsqY3tb

[Spenser Skates @spenserskates]

"How can Amplitude be better?"

I ask this question to every Amplitude user I meet.

Customer feedback is the single most important signal for product teams. Every product team struggles to talk to users enough.

Introducing Amplitude AI Feedback: the brainchild of @yanabana, now on @Amplitude_HQ through our acquisition of @Kraftful

AI Feedback analyzes thousands of pieces of feedback from every channel and tells you what users are saying. Link @Zendesk and @intercom tickets, @Gong_io call transcriptions, app store reviews, @G2dotcom reviews, @Reddit and @X comments, first party surveys, and more with no engineering needed.

It surfaces feature requests, complaints, loved features, bugs, and pain points so you can build a better product.

Yana shares more:

[Jake @visiodeibc]

This release really hits differently. @Amplitude_HQ just released AI feedback, where we do all the heavy lifting with AI, aggregating, categorizing, and prioritizing of all different VOC!

All you have to do is click and see the magic happen! 🧚

#amplitudeaifeedback

[Amplitude @Amplitude_HQ]

Feedback is a gift 🎁

But sorting through sales calls, support tickets, @Reddit threads, and @G2dotcom reviews takes TIME. Which is why we're introducing Amplitude AI Feedback. Simply connect your feedback sources and get insights in minutes. Try it out: https://t.co/QKvrUz9Cu2

[Jake @visiodeibc]

@spenserskates LFGGGG

[Jake @visiodeibc]

There is significant upside and minimal downside to sequential testing compared to traditional t-testing for experimentation.

It's really challenging to understand the details of how and why, but @photoroom_app did an amazing job of recording this journey!

[Charlotte de Thiersant @cdethiersant]

We completely revamped our approach to experimentation, and we’re excited to share why.

https://t.co/1z7pdPaAI6

[Jake @visiodeibc]

How is your product/brand showing in LLM search?
How about your competition?
Get your LLM visibilty insight for free with amplitude
- https://t.co/64lw10HIrc

[Spenser Skates @spenserskates]

Use Amplitude AI Visibility (no signup required): https://t.co/YjIKWAWYpu

Huge shoutout to the team who made this happen!
@leojiang @CarmenDecouto @0xferruccio @Nirmal_Utwani

[Jake @visiodeibc]

@spenserskates Superb! 🚀 Being able to see which data MCP is using — and how it reasons through the process — without digging through countless charts… feels like a dream that arrived faster than expected!

[Jake @visiodeibc]

I did imagine a day when AI would answer all my questions

However, I didn't expect it to happen this quickly, especially at Amplitude.
With amplitude MCP, a simple question will allow you to discover complex insights that would have taken hours in minutes. What are you asking?

[Spenser Skates @spenserskates]

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 Skates @spenserskates]

The State of AI in SaaS:
SaaS is Dead, Long Live SaaS

This started as an analysis of Andrej Karpathy's excellent overview of AI's capabilities. Those who deeply understand this will make all the returns and everyone else will lose a lot of money.

"Ghosts" is a brilliant metaphor for what we've created. They're not animals, and they're definitely not human. They are imperfect replicas of us. Karpathy describes them as a "statistical distillation of humanity's documents".

AI channels that distribution more effectively than any human and can beat us at Go, schoolwork, analyzing medical images, and many well defined tasks. At the same time, it lacks the reward systems that humans use to improve including curiosity, empowerment, play, intrinsic motivation, and culture.

As a result, AI's capabilities are limited. If you watch how the best work gets done with AI, it happens in chunks where a human supervises the output and gives iterative feedback to the AI. Large scale autonomous agents are brittle and fail quickly. Watch anyone vibe code an application with any level of novel complexity.

AI also faces integration barriers into existing organizations. AI is not capable of pulling a lot of the levers you need to be effective like coordinating with multiple stakeholders, building trust, authenticity, and interacting with different modalities across time and space. You could argue that the average human doesn't either, but people know when they're interacting with an AI and don't allow it the same agency as they do to people. The most successful AI B2B companies actually need more humans to integrate what they've built (forward deployed engineers) than traditional B2B SaaS.

What's next?

Those who understand AI and its limitations will transform the industry.

Incumbents will be killed by those who know how to leverage AI. I've seen countless homepages talk about being the "AI platform for AI agents" but can't even string a demo together. Meanwhile they're trying to pitch a future where fully autonomous entities collaborate in parallel to write all the code and humans are useless. They will be the first to be replaced when they get surpassed by AI native companies.

The investors blindly throwing money into companies at 100x multiples are going to lose their money. I spoke with one of the most disciplined investors I know last week. They said they felt they had to play the game on the field even though they knew it didn't make sense. And this was from someone who is closer to the technology than 95% of investors.

On the other hand, companies who deeply understand AI will win everything. Cursor, Glean, Decagon, Sierra, Linear, Lovable, Replit, Bolt, and many AI natives are off to a great start.

While 90% of incumbents haven't adapted, it is possible. Figma, Notion, Vercel, Box, and Intercom have done a great job of tearing down what they have and rebuilding AI native products. They have teams who are close to the current capabilities of the models. They also understand their problem domain and as new capabilities come out know what capabilities will map well to what problems in what way. They are able to deliver on AI's promise to their customers. Whereas the majority of existing companies will die.

In analytics, the door is wide open. In spite of many of our competitors filling up their homepages with the text "AI", I haven't seen a single compelling demo. We're still working like it's 2015.

This will change. We have spent the last year at Amplitude rebuilding our team to be AI native. We've learned about what models are capable of, how to write prompts, and how to leverage evals for building great products. We've worked with our customers to see what gets used in practice and what doesn't. We are building a vision for the future of analytics. We are all in on AI at Amplitude.

Stay tuned for what's next. We're going to be fast and furious with AI products at Amplitude.

[Jake @visiodeibc]

Just revamped the map view now its much more interactive and accessible

https://t.co/NVlPJzq4b5

[Jake @visiodeibc]

@marclou Haha glad korea is treating you well!

[Jake @visiodeibc]

@duckwhocodes @_buildspace @_nightsweekends woah so kewl!!!!! i love it, i will play with it abit more later tonight

[Jake @visiodeibc]

@_buildspace

[Jake @visiodeibc]

Here are the MVP spec and tech stack I’m using!
* Sign up/sign in
* Create Map List
* View Created Map List
* Add Map Item

https://t.co/Y2cwr7NMeA

[Jake @visiodeibc]

@_buildspace Ing! Hahaha

[Jake @visiodeibc]

So thats what omni map is for! I want to make customizable, sharable and searchable map that everyone can make and use! Follow for more journey!

[Jake @visiodeibc]

Google Map sucks!

Making a personal list of places is so hard and inefficient on Google Maps.

@_buildspace @_nightsweekends @FarzaTV
https://t.co/msatJBSDNQ

[Jake @visiodeibc]

- Can’t record information that I want to track uniquely like personal rating, price of an coffee…etc
- Can’t search or sort by the information I want
- Can’t record/remember media of information I would like to remember