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"Claude Code is the first AI tool that can actually recreate how a data scientist thinks." Here's my new episode with Sumeet Marwaha (Head of Data at Brex) on exactly how to build an AI analyst with Claude Code. We covered: ✅ 3 queries to build a data analyst...

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Peter Yang

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39,600 просмотров • 4 месяцев назад •via X (Twitter)

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You can now clone any website just by writing a prompt. Simply add the new Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:
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You can now clone any website just by writing a prompt. Simply add the new Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:

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You can now clone any website just by writing a prompt. Simply add the Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:
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Alvaro Cintas

83,031 просмотров • 10 месяцев назад

You can now give AI agents the ability to interact with ANY website. This new MCP server lets Claude, Cursor, or any AI agent navigate, click, fill forms, and extract data from sites without APIs. Just connect it and give it a URL + goal. Here’s how to set it up:
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You can now give AI agents the ability to interact with ANY website. This new MCP server lets Claude, Cursor, or any AI agent navigate, click, fill forms, and extract data from sites without APIs. Just connect it and give it a URL + goal. Here’s how to set it up:

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77,654 просмотров • 6 месяцев назад

"Do this first before asking AI to code." Here's my new episode with Colin Matthews (top AI instructor), where we walk through how to pick the right AI prototyping tool and build a habit-tracking app in just 20 minutes with Bolt. Colin shared some incredible advice for AI prototyping, including: - Which tools beginners should start with - Why you should get the data model right first - How to avoid struggling with AI on bugs 📌 Watch now:
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Peter Yang

51,265 просмотров • 1 год назад

taught Claude Code how to ssh into my Apple Health data and fill in metrics based on prompts about my day.
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taught Claude Code how to ssh into my Apple Health data and fill in metrics based on prompts about my day.

Evan Bacon 🥓

132,794 просмотров • 5 месяцев назад

As AI agents get better at computer and tool use, or writing code on the fly for a task, we're going to be able to solve much broader domains of knowledge work. Here's an example of Box AI with the new Claude Skills to generate a clean powerpoint file from existing data.
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As AI agents get better at computer and tool use, or writing code on the fly for a task, we're going to be able to solve much broader domains of knowledge work. Here's an example of Box AI with the new Claude Skills to generate a clean powerpoint file from existing data.

Aaron Levie

30,235 просмотров • 8 месяцев назад

"Claude Code is not just for coding. It's an AI agent that can do whatever you want it to do." Here's my new tutorial with where he showed me exactly how to build a life OS with Claude Code in 25 minutes. He saves 2+ hours daily using: ✅ /researcher to analyze competitors ✅ /daily_brief to get AI news every morning ✅ /brain_dump to find patterns from notes His setup uses slash commands and sub-agents and honestly blew my mind 🔥 Watch the full tutorial to learn how to set up a life operating system for yourself. 📌 Watch now: Also available on: Spotify: Newsletter:
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"Claude Code is not just for coding. It's an AI agent that can do whatever you want it to do." Here's my new tutorial with where he showed me exactly how to build a life OS with Claude Code in 25 minutes. He saves 2+ hours daily using: ✅ /researcher to analyze competitors ✅ /daily_brief to get AI news every morning ✅ /brain_dump to find patterns from notes His setup uses slash commands and sub-agents and honestly blew my mind 🔥 Watch the full tutorial to learn how to set up a life operating system for yourself. 📌 Watch now: Also available on: Spotify: Newsletter:

Peter Yang

189,869 просмотров • 9 месяцев назад

I'm excited to introduce my FREE AI Pandas Data Analyst Copilot which created a data analysis report with dozens of charts from my questions in under 30 seconds. Today, I'll share with you how to automate data analysis with my Pandas AI Agent + Copilot, which is available on GitHub. I'll guide you through setting up the Copilot app, creating dozens of data analysis charts from any CSV or Excel file, and interacting with your data live. This AI is a BIG help! Table of Contents: 00:00 Introduction to the App 02:24 Setting Up the App 04:25 Using the App 08:58 Understanding the Python Code Github to AI Data Science Team (app is in the apps folder): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: === Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, April 9th, I'm sharing one of my best AI Projects: Time Series Forecasting with AI Register here (500 Seats):
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I'm excited to introduce my FREE AI Pandas Data Analyst Copilot which created a data analysis report with dozens of charts from my questions in under 30 seconds. Today, I'll share with you how to automate data analysis with my Pandas AI Agent + Copilot, which is available on GitHub. I'll guide you through setting up the Copilot app, creating dozens of data analysis charts from any CSV or Excel file, and interacting with your data live. This AI is a BIG help! Table of Contents: 00:00 Introduction to the App 02:24 Setting Up the App 04:25 Using the App 08:58 Understanding the Python Code Github to AI Data Science Team (app is in the apps folder): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: === Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, April 9th, I'm sharing one of my best AI Projects: Time Series Forecasting with AI Register here (500 Seats):

Matt Dancho (Business Science)

12,701 просмотров • 1 год назад

Screaming Frog launched an MCP that empowers SEOs to perform crawls + analyze data directly in Claude!! Here's how to set it up in 2 minutes:
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Screaming Frog launched an MCP that empowers SEOs to perform crawls + analyze data directly in Claude!! Here's how to set it up in 2 minutes:

Chris Long

33,228 просмотров • 19 дней назад

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Claude Code is the most powerful AI tool I've ever used Unfortunately 99% of people use it just for coding Here is how I use Claude Code to automate my entire life (ya, you're going to want to bookmark this):

Alex Finn

63,789 просмотров • 10 месяцев назад

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:
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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

32,289 просмотров • 7 месяцев назад

Claude Code is now scary good at full-stack! I asked it to build a real-time weather intelligence dashboard with an interactive 3D globe and a forecasting layer that predicts weather 3 days ahead. It came back with a spinning globe that has a day/night cycle using NASA satellite imagery, city lights on the dark side, weather icons that switch between sun and moon based on local time, and a time travel slider that scrubs through 10 days of data. Claude Code built the whole thing in a single session, including the backend, database, data pipeline, and frontend. For the database, I needed something fast for time-series workloads since the app ingests hourly weather readings across many cities and serves time-range queries on every slider interaction. I used Tiger Cloud by Tiger Data - Creators of TimescaleDB, which gives you managed TimescaleDB on the Postgres you already know. Claude Code connected to it through the Tiger CLI MCP server and set up the entire backend directly: - Provisioned the database service - Created hypertables for time-partitioned weather storage - Set up continuous aggregates for pre-computed rollups - Built the data ingestion pipeline and the full NextJS + ThreeJS frontend The time travel slider queries thousands of rows on every position change. On a regular Postgres table, this would require manual partitioning and index tuning to stay fast as data grows. TimescaleDB partitions the data by timestamp automatically, so each query only hits the relevant time chunk. Continuous aggregates serve the trend charts and forecast layer from pre-computed rollups instead of rescanning raw data on every request. The video below shows the final build in action, and I worked with the Tiger Data team to put this together. Tiger CLI is open-source (Apache 2.0) and works with Claude Code, Cursor, Codex, Gemini CLI, and VS Code. To try this yourself: → Sign up for Tiger Cloud (I have shared the link in the replies). It gives you $1,000 free credits (no card needed) → Install Tiger CLI: curl -fsSL https(:)//cli(.)tigerdata(.)com | sh → Run tiger mcp install claude-code → Give Claude Code a prompt and let it build Find the sign-up link in the replies.
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Claude Code is now scary good at full-stack! I asked it to build a real-time weather intelligence dashboard with an interactive 3D globe and a forecasting layer that predicts weather 3 days ahead. It came back with a spinning globe that has a day/night cycle using NASA satellite imagery, city lights on the dark side, weather icons that switch between sun and moon based on local time, and a time travel slider that scrubs through 10 days of data. Claude Code built the whole thing in a single session, including the backend, database, data pipeline, and frontend. For the database, I needed something fast for time-series workloads since the app ingests hourly weather readings across many cities and serves time-range queries on every slider interaction. I used Tiger Cloud by Tiger Data - Creators of TimescaleDB, which gives you managed TimescaleDB on the Postgres you already know. Claude Code connected to it through the Tiger CLI MCP server and set up the entire backend directly: - Provisioned the database service - Created hypertables for time-partitioned weather storage - Set up continuous aggregates for pre-computed rollups - Built the data ingestion pipeline and the full NextJS + ThreeJS frontend The time travel slider queries thousands of rows on every position change. On a regular Postgres table, this would require manual partitioning and index tuning to stay fast as data grows. TimescaleDB partitions the data by timestamp automatically, so each query only hits the relevant time chunk. Continuous aggregates serve the trend charts and forecast layer from pre-computed rollups instead of rescanning raw data on every request. The video below shows the final build in action, and I worked with the Tiger Data team to put this together. Tiger CLI is open-source (Apache 2.0) and works with Claude Code, Cursor, Codex, Gemini CLI, and VS Code. To try this yourself: → Sign up for Tiger Cloud (I have shared the link in the replies). It gives you $1,000 free credits (no card needed) → Install Tiger CLI: curl -fsSL https(:)//cli(.)tigerdata(.)com | sh → Run tiger mcp install claude-code → Give Claude Code a prompt and let it build Find the sign-up link in the replies.

Avi Chawla

14,579 просмотров • 16 дней назад

Claude Code is now included in the Claude Pro plan which means Pro plan subscribers can use their rate limits for Claude apps and Claude Code! To celebrate, here's a conversation with Claude Code's founding engineer, Boris Cherny, on: - how we use Claude Code at Anthropic - underrated tips for using it effectively - the future of coding tools - and more!
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Claude Code is now included in the Claude Pro plan which means Pro plan subscribers can use their rate limits for Claude apps and Claude Code! To celebrate, here's a conversation with Claude Code's founding engineer, Boris Cherny, on: - how we use Claude Code at Anthropic - underrated tips for using it effectively - the future of coding tools - and more!

Alex Albert

123,686 просмотров • 1 год назад

I turned Claude into my marketing analyst with MCP in under 5 minutes - it showed me EXACTLY how to grow - it pulled realtime data - it built a complete custom growth strategy
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I turned Claude into my marketing analyst with MCP in under 5 minutes - it showed me EXACTLY how to grow - it pulled realtime data - it built a complete custom growth strategy

The Boring Marketer

60,665 просмотров • 1 год назад

"Every morning, I type '/today' into Claude Code and watch it generate my to-do list." Here's my new episode with Teresa Torres where she demos how she uses two Claude Code terminals and a note taking app (Obsidian) to run her entire life and business. We cover: ✅ Her 3-layer context system (global rules → project rules → reference files) ✅ Writing 9,000-word blog posts in 1.5 days with Claude Code as a thought partner ✅ How to set up a personal OS with Claude Code step by step Some quotes from Teresa: "Whenever you explain something to Claude, stop and ask—will I have to explain this again? Then capture it in a context file." "I wrote 9,000 words in 1.5 days. There's no way I would have done this myself." "You don't have to get here overnight. Every time you do a new task, just ask—how can Claude help with this?" 📌 Watch now:
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"Every morning, I type '/today' into Claude Code and watch it generate my to-do list." Here's my new episode with Teresa Torres where she demos how she uses two Claude Code terminals and a note taking app (Obsidian) to run her entire life and business. We cover: ✅ Her 3-layer context system (global rules → project rules → reference files) ✅ Writing 9,000-word blog posts in 1.5 days with Claude Code as a thought partner ✅ How to set up a personal OS with Claude Code step by step Some quotes from Teresa: "Whenever you explain something to Claude, stop and ask—will I have to explain this again? Then capture it in a context file." "I wrote 9,000 words in 1.5 days. There's no way I would have done this myself." "You don't have to get here overnight. Every time you do a new task, just ask—how can Claude help with this?" 📌 Watch now:

Peter Yang

257,767 просмотров • 5 месяцев назад

ANTHROPIC JUST RELEASED A FREE 23-PAGE GUIDE THAT COMPANIES ARE PAYING $50,000 TO CONSULTANTS FOR. How to build Claude into your entire business infrastructure - 100% FREE. Most companies using AI in 2026 are doing the same thing. Anthropic explains what real enterprise AI infrastructure actually looks like. Not marketing, not a sales deck, just a practical guide from the people who build these systems. What is inside: ↳ How to move Claude from a chat tool to core business infrastructure ↳ How to connect it to your internal databases and live documents ↳ How to design automated workflows for your exact processes ↳ How to handle institutional data safely at scale The most important line in the whole document: The model alone is not enough. The value is in how it connects to your systems, data, and workflows. Save this.
0:26

ANTHROPIC JUST RELEASED A FREE 23-PAGE GUIDE THAT COMPANIES ARE PAYING $50,000 TO CONSULTANTS FOR. How to build Claude into your entire business infrastructure - 100% FREE. Most companies using AI in 2026 are doing the same thing. Anthropic explains what real enterprise AI infrastructure actually looks like. Not marketing, not a sales deck, just a practical guide from the people who build these systems. What is inside: ↳ How to move Claude from a chat tool to core business infrastructure ↳ How to connect it to your internal databases and live documents ↳ How to design automated workflows for your exact processes ↳ How to handle institutional data safely at scale The most important line in the whole document: The model alone is not enough. The value is in how it connects to your systems, data, and workflows. Save this.

Kanika

15,529 просмотров • 1 день назад

Boris Cherny, the creator of Claude Code, just explained why the features most users never find are the ones that matter most in this podcast he breaks down not just how to use Claude, but what it all means for the next few years: > the right way to give Claude context before it starts working > why giving it too much information is just as bad as too little > how Claude Code is already changing how engineers build things > how the people who built Claude actually use it day to day based on this podcast and months of using Claude myself, I put together a guide on everything Claude can do that most people have no idea exists you can find it below
1:22:03

Boris Cherny, the creator of Claude Code, just explained why the features most users never find are the ones that matter most in this podcast he breaks down not just how to use Claude, but what it all means for the next few years: > the right way to give Claude context before it starts working > why giving it too much information is just as bad as too little > how Claude Code is already changing how engineers build things > how the people who built Claude actually use it day to day based on this podcast and months of using Claude myself, I put together a guide on everything Claude can do that most people have no idea exists you can find it below

Anatoli Kopadze

22,226 просмотров • 21 дней назад

What if your personal data became an asset you actually owned? In this May 2026 AMA, Matrix AI Network explores one of the most important questions facing AI, Web3, and the future digital economy: Who owns the data that powers artificial intelligence? As AI models continue to improve, the next major bottleneck is no longer computing power—it is access to high-quality, verified human data. The discussion covers how personal biodata can become a valuable digital asset, how data quality is measured, and why future AI companies may depend directly on users as data providers. Topics include: ✅ Biodata as a new asset class ✅ AI-grade data quality scoring ✅ Wearable devices for raw data ✅ Data ownership and monetization models ✅ Preventing fake data and device spoofing ✅ Real-world applications in healthcare, sports science and mental wellness ✅ Hypnus and the future biodata ecosystem ✅ Project direction The future may not belong to companies that own data. It belongs to the people who create it. Watch now 👇 #AI #Web3 #DataOwnership
29:51

What if your personal data became an asset you actually owned? In this May 2026 AMA, Matrix AI Network explores one of the most important questions facing AI, Web3, and the future digital economy: Who owns the data that powers artificial intelligence? As AI models continue to improve, the next major bottleneck is no longer computing power—it is access to high-quality, verified human data. The discussion covers how personal biodata can become a valuable digital asset, how data quality is measured, and why future AI companies may depend directly on users as data providers. Topics include: ✅ Biodata as a new asset class ✅ AI-grade data quality scoring ✅ Wearable devices for raw data ✅ Data ownership and monetization models ✅ Preventing fake data and device spoofing ✅ Real-world applications in healthcare, sports science and mental wellness ✅ Hypnus and the future biodata ecosystem ✅ Project direction The future may not belong to companies that own data. It belongs to the people who create it. Watch now 👇 #AI #Web3 #DataOwnership

Matrix AI Network

48,110 просмотров • 13 дней назад

Nexus brings your data, tools, and AI together in one place. Here’s a sneak peek: see how to set up data lakes, connect LLMs, build agents, and chat with your data. 🎥 Watch the walkthrough: $NAI #MeetNexus
5:30

Nexus brings your data, tools, and AI together in one place. Here’s a sneak peek: see how to set up data lakes, connect LLMs, build agents, and chat with your data. 🎥 Watch the walkthrough: $NAI #MeetNexus

Nuklai

21,099 просмотров • 11 месяцев назад

In case you missed it, earlier this week we launched "MCP: Build Rich-Context AI Apps with Anthropic." Enroll now and: ✅ Explore how MCP standardizes access to tools and data for AI applications, its underlying architecture, and how it simplifies the integration of new tools and connections to external systems (e.g., GitHub repos, Google Docs, local files). ✅ Build and deploy an MCP server that provides tools, resources, and prompts, and add it to the configuration of AI applications, such as Claude Desktop, to extend them. ✅ Build an MCP-compatible application that hosts multiple MCP clients, each maintaining 1-to-1 connection to an MCP server. Join in for free:
1:09

In case you missed it, earlier this week we launched "MCP: Build Rich-Context AI Apps with Anthropic." Enroll now and: ✅ Explore how MCP standardizes access to tools and data for AI applications, its underlying architecture, and how it simplifies the integration of new tools and connections to external systems (e.g., GitHub repos, Google Docs, local files). ✅ Build and deploy an MCP server that provides tools, resources, and prompts, and add it to the configuration of AI applications, such as Claude Desktop, to extend them. ✅ Build an MCP-compatible application that hosts multiple MCP clients, each maintaining 1-to-1 connection to an MCP server. Join in for free:

DeepLearning.AI

23,829 просмотров • 1 год назад