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MCP Apps are live in nuxt-mcp-toolkit Write Vue components that become interactive widgets inside ChatGPT or Claude. Your users spend hours there daily. Bring your features to them. Let them interact without switching tabs. Nuxt makes it effortless.

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Today we open Laravel MCP (beta) to the public! Laravel MCP is a library that makes it simple to build Model Context Protocol servers in your Laravel apps. This gives AI clients (like Claude, Cursor, & ChatGPT) a structured way to interact with your application. It's already been field tested by powering Laravel Boost.

Today we open Laravel MCP (beta) to the public! Laravel MCP is a library that makes it simple to build Model Context Protocol servers in your Laravel apps. This gives AI clients (like Claude, Cursor, & ChatGPT) a structured way to interact with your application. It's already been field tested by powering Laravel Boost.

Laravel

78,017 views • 10 months ago

Don't know what is MCP and want to get a very quick intro lesson without the hype? I've got you covered MCP clients (like Claude, Cursor) are like the Android Phones and MCP Servers are like Android Apps. You can install them on your client and give it new capabilities!

Don't know what is MCP and want to get a very quick intro lesson without the hype? I've got you covered MCP clients (like Claude, Cursor) are like the Android Phones and MCP Servers are like Android Apps. You can install them on your client and give it new capabilities!

Shobhit Bakliwal

14,128 views • 1 year ago

Zapier MCP is now connected to Claude. That means you can plug Claude into 8,000+ apps and 30,000+ actions using Zapier. Here are a few things you can now ask Claude to do: * Pull CRM data before a sales call * Assign tasks in Asana or Jira * Update spreadsheets across tools * Draft and send emails (in your voice, without leaving Claude!) All from within the Claude chat (tab switching, no custom integrations, no dev work). If you’ve been waiting for AI that takes action, not just notes, this is it. Curious how it could help you and your org? Learn more about Claude + Zapier MCP here:

Zapier MCP is now connected to Claude. That means you can plug Claude into 8,000+ apps and 30,000+ actions using Zapier. Here are a few things you can now ask Claude to do: * Pull CRM data before a sales call * Assign tasks in Asana or Jira * Update spreadsheets across tools * Draft and send emails (in your voice, without leaving Claude!) All from within the Claude chat (tab switching, no custom integrations, no dev work). If you’ve been waiting for AI that takes action, not just notes, this is it. Curious how it could help you and your org? Learn more about Claude + Zapier MCP here:

Bryan Helmig 🍻

93,511 views • 1 year ago

French President Macron on video games: It is bad for your children to let them spend hours and hours in front of violent video games that condition them to violence. There are video games that sometimes even have an educational aspect and that are good. But it is clear that there are violent video games that create excitement and dependency, where young people and adolescents spend hours and hours and sometimes do not sleep. So we see sleep disorders and other problems. That is what I say to families first: your role is to pay attention to your children and your adolescents. Do not let them spend that much time.

French President Macron on video games: It is bad for your children to let them spend hours and hours in front of violent video games that condition them to violence. There are video games that sometimes even have an educational aspect and that are good. But it is clear that there are violent video games that create excitement and dependency, where young people and adolescents spend hours and hours and sometimes do not sleep. So we see sleep disorders and other problems. That is what I say to families first: your role is to pay attention to your children and your adolescents. Do not let them spend that much time.

Clash Report

26,495 views • 5 months ago

Excited to launch on ProductHunt today! Rube is the universal MCP server that connects your AI chat (Cursor, Claude, VSCode, etc.) to 500+ apps including Slack, Notion, Figma. Just add Rube and start taking actions across all your apps within your MCP client. We have been teasing Rube's magical ability of connecting anything and everything over the past week through absurdist videos. It has already become an essential part of workflows of our early users. Looking forward to your feedback! Would really appreciate your support on our launch page. Link in the first comment.

Excited to launch on ProductHunt today! Rube is the universal MCP server that connects your AI chat (Cursor, Claude, VSCode, etc.) to 500+ apps including Slack, Notion, Figma. Just add Rube and start taking actions across all your apps within your MCP client. We have been teasing Rube's magical ability of connecting anything and everything over the past week through absurdist videos. It has already become an essential part of workflows of our early users. Looking forward to your feedback! Would really appreciate your support on our launch page. Link in the first comment.

Karan Vaidya

40,463 views • 10 months ago

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,010 views • 1 year ago

As a researcher, this used to take me 3–4 hours. - Reading papers - Copying text into ChatGPT - Switching between tabs - Trying to compare findings Then I came across Tabbit: With Tabbit, it takes 20 minutes. Here’s how → Open your research papers directly in your browser → No more copy-pasting into ChatGPT or Claude → Just chat with the paper right there It doesn’t stop here.

As a researcher, this used to take me 3–4 hours. - Reading papers - Copying text into ChatGPT - Switching between tabs - Trying to compare findings Then I came across Tabbit: With Tabbit, it takes 20 minutes. Here’s how → Open your research papers directly in your browser → No more copy-pasting into ChatGPT or Claude → Just chat with the paper right there It doesn’t stop here.

Faheem Ullah

160,364 views • 3 months ago

Connect Claude, ChatGPT, Cursor, Perplexity, or Codex to Caffeine. The Caffeine MCP server is live. One URL. One browser sign-in. Describe what you want built from inside your AI tool - it sends the prompt straight to Caffeine. Get updates on what's being built without leaving your conversation. When it's done, ask your AI to review it. It reads the Caffeine conversation directly, so it has full context on every decision.

Connect Claude, ChatGPT, Cursor, Perplexity, or Codex to Caffeine. The Caffeine MCP server is live. One URL. One browser sign-in. Describe what you want built from inside your AI tool - it sends the prompt straight to Caffeine. Get updates on what's being built without leaving your conversation. When it's done, ask your AI to review it. It reads the Caffeine conversation directly, so it has full context on every decision.

caffeine

14,390 views • 1 month ago

Stop...Your AI shouldn’t sit in a sidebar. It should actually work inside your notes. AnySlate just made that real. Your AI can: • read your markdown files • edit sections • create docs • search your workspace • organize everything No copy paste No switching tabs No proprietary lock-in Every file is a real .md file Your notes stay portable forever And the wild part — it supports MCP natively So Claude, Cursor, or Windsurf can directly work inside your workspace This is the shift from AI that helps you write to AI that manages your knowledge Real-time collaboration Built-in AI assistant PDF + web publishing Version history Works on Mac Windows Linux + browser This is what a modern markdown editor should look like

Stop...Your AI shouldn’t sit in a sidebar. It should actually work inside your notes. AnySlate just made that real. Your AI can: • read your markdown files • edit sections • create docs • search your workspace • organize everything No copy paste No switching tabs No proprietary lock-in Every file is a real .md file Your notes stay portable forever And the wild part — it supports MCP natively So Claude, Cursor, or Windsurf can directly work inside your workspace This is the shift from AI that helps you write to AI that manages your knowledge Real-time collaboration Built-in AI assistant PDF + web publishing Version history Works on Mac Windows Linux + browser This is what a modern markdown editor should look like

Nainsi Dwivedi

13,617 views • 3 months ago

WeWeb MCP is here. Your favorite AI agents can now build directly inside WeWeb. Bring Claude Code, Cursor, ChatGPT, Codex, Antigravity, or any agent you choose. Your agent can help build secure web apps using WeWeb’s pages, components, workflows, API requests, databases, integrations, auth, storage, and more. You decide what it can work on: the full app, or only specific parts of your project. Everything stays visible and editable in WeWeb, so you can review what was built, make changes visually, and keep maintaining the app with your team. No black box. Open beta starts today.

WeWeb MCP is here. Your favorite AI agents can now build directly inside WeWeb. Bring Claude Code, Cursor, ChatGPT, Codex, Antigravity, or any agent you choose. Your agent can help build secure web apps using WeWeb’s pages, components, workflows, API requests, databases, integrations, auth, storage, and more. You decide what it can work on: the full app, or only specific parts of your project. Everything stays visible and editable in WeWeb, so you can review what was built, make changes visually, and keep maintaining the app with your team. No black box. Open beta starts today.

weweb.io

1,386,257 views • 23 days ago

We’re excited to launch OpenMemory MCP, a private memory for MCP-compatible clients powered by mem0 Today, most AI assistants and dev tools operate without memory. You plan your roadmap in Claude, implement tasks in Cursor, but none of them know what the other did. Each tool operates in isolation, and your context disappears as soon as the session ends. OpenMemory MCP solves this. Built on the open Model Context Protocol (MCP), OpenMemory MCP runs 100% locally and provides a persistent, portable memory layer for all your AI tools. It enables agents and assistants to read from and write to a shared memory, securely and privately. Key capabilities: ✅Works across MCP clients like Cursor, Claude Desktop, Windsurf, Cline and more ✅Provides standardized memory operations (add_memories, search_memory, list_memories, delete_all_memories) ✅Stores data on your machine, fully private ✅Offers a centralized dashboard for visibility and control ✅Simple Docker-based setup with no vendor lock-in If you're building on MCP, OpenMemory MCP is the easiest way to add persistent, private memory to your clients with zero cloud dependencies and full local control. We’ve put together a short demo to show how it works Check it out in the links below 👇

We’re excited to launch OpenMemory MCP, a private memory for MCP-compatible clients powered by mem0 Today, most AI assistants and dev tools operate without memory. You plan your roadmap in Claude, implement tasks in Cursor, but none of them know what the other did. Each tool operates in isolation, and your context disappears as soon as the session ends. OpenMemory MCP solves this. Built on the open Model Context Protocol (MCP), OpenMemory MCP runs 100% locally and provides a persistent, portable memory layer for all your AI tools. It enables agents and assistants to read from and write to a shared memory, securely and privately. Key capabilities: ✅Works across MCP clients like Cursor, Claude Desktop, Windsurf, Cline and more ✅Provides standardized memory operations (add_memories, search_memory, list_memories, delete_all_memories) ✅Stores data on your machine, fully private ✅Offers a centralized dashboard for visibility and control ✅Simple Docker-based setup with no vendor lock-in If you're building on MCP, OpenMemory MCP is the easiest way to add persistent, private memory to your clients with zero cloud dependencies and full local control. We’ve put together a short demo to show how it works Check it out in the links below 👇

Taranjeet

471,767 views • 1 year 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:

Spenser Skates

32,315 views • 9 months ago

🔮 MCP INTEGRATION NOW LIVE ON OPENSERV This is bigger than most realize. We're not just adding a feature - we're enabling a fundamentally new paradigm for agent infrastructure. Before MCP: agents trapped in walled gardens, limited by what you explicitly feed them. After MCP: agents that can access 10K+ tools, interact with your existing systems, and truly operate in your digital world. Think about this: -Every integration used to require custom code -Every data source needed specific formatting -Every agent had to be built for specific tools MCP eliminates all of that. One standard to connect any agent to any tool. This isn't just convenience - it's the unlock that makes agents actually useful in the real world. OpenServ + MCP = AI teams that can genuinely get things done, not just talk about doing them. This is the breakthrough that turns agents from toys into tools.

🔮 MCP INTEGRATION NOW LIVE ON OPENSERV This is bigger than most realize. We're not just adding a feature - we're enabling a fundamentally new paradigm for agent infrastructure. Before MCP: agents trapped in walled gardens, limited by what you explicitly feed them. After MCP: agents that can access 10K+ tools, interact with your existing systems, and truly operate in your digital world. Think about this: -Every integration used to require custom code -Every data source needed specific formatting -Every agent had to be built for specific tools MCP eliminates all of that. One standard to connect any agent to any tool. This isn't just convenience - it's the unlock that makes agents actually useful in the real world. OpenServ + MCP = AI teams that can genuinely get things done, not just talk about doing them. This is the breakthrough that turns agents from toys into tools.

OpenServ

34,665 views • 1 year ago

ATTN: Wallet Teams. Your users hold crypto and stablecoins. Now they can spend them online and in-store, without offramping. The WalletConnect Pay SDK is live. One integration. Most wallets go live in days. Give your users the best wallet-native payment experience that works alongside your card program, or gives you payment capability without one. No infrastructure to build. You earn interchange-like revenue on every transaction. Your users get cashback in $WCT every time they pay. Start integrating → [

ATTN: Wallet Teams. Your users hold crypto and stablecoins. Now they can spend them online and in-store, without offramping. The WalletConnect Pay SDK is live. One integration. Most wallets go live in days. Give your users the best wallet-native payment experience that works alongside your card program, or gives you payment capability without one. No infrastructure to build. You earn interchange-like revenue on every transaction. Your users get cashback in $WCT every time they pay. Start integrating → [

WalletConnect

87,055 views • 4 months ago

Box is a launch partner for Microsoft’s Apps in Copilot launch. The Box AI Agent for Microsoft365 Copilot will be able to surface rich visual previews like slides, graphs, and images right in the conversation and have access to all of the Box MCP server tools. Coming soon to the Box AI Agent in Microsoft 365 Copilot: 🔹 MCP-powered workflows — metadata extraction, document generation, and more 🔹 Visual-first search — view complicated graphs or rich visuals that are buried in your Box content, without having to open files. 🔹 Fewer clarifications, faster decisions - move from chat to action Enable agents to bring apps into the flow of work, while keeping IT in control:

Box is a launch partner for Microsoft’s Apps in Copilot launch. The Box AI Agent for Microsoft365 Copilot will be able to surface rich visual previews like slides, graphs, and images right in the conversation and have access to all of the Box MCP server tools. Coming soon to the Box AI Agent in Microsoft 365 Copilot: 🔹 MCP-powered workflows — metadata extraction, document generation, and more 🔹 Visual-first search — view complicated graphs or rich visuals that are buried in your Box content, without having to open files. 🔹 Fewer clarifications, faster decisions - move from chat to action Enable agents to bring apps into the flow of work, while keeping IT in control:

Box

335,591 views • 4 months ago

Today, we're launching C1 by Thesys on Product Hunt and giving away up to 5M free tokens if you retweet this and sign up within 24 hours. C1 is the world’s first Generative UI API that augments LLMs to respond with interactive UI like charts, forms, cards, and more in real-time, instead of plain text. Integrates seamlessly with any LLM, framework or MCP in just 2 lines of code - Fully customisable to match your brand - Supports custom components - Renders instantly with no latency Ship rich, interactive AI apps 10× faster, with 80% less UI overhead.

Rabi Shanker Guha

71,616 views • 9 months ago

We’ve integrated a first-of-its-kind, privacy-native MCP connector layer to the Dot platform, making DotChat agentic by default. Live at → Even in private AI, the standard product is: pick a model, send a prompt, maybe enable web search and get an answer. This is simply not enough. MCPs changed what AI agents can do, but they are trapped inside: Claude Code, Cursor, local agents, API tooling and enterprise setups. Through Dot, users can now connect any MCP directly into their AI workspace, while maintaining Dot’s privacy boundary around the entire workflow. This means Dot users won’t just ask models questions, they’ll be able to connect tools, inspect onchain state, check portfolios, prepare transactions, and interact with Base from inside the chat flow. And yes, we’re starting with the big one. The Base MCP. This is a major step toward Dot’s agentic vision: powerful AI agents that can interact with the world without compromising user privacy. Check our demo below, where we integrate the updated Base MCP into Dot, and utilize it to buy $10 in $DOT, all whilst retaining full anonymity ↓

We’ve integrated a first-of-its-kind, privacy-native MCP connector layer to the Dot platform, making DotChat agentic by default. Live at → Even in private AI, the standard product is: pick a model, send a prompt, maybe enable web search and get an answer. This is simply not enough. MCPs changed what AI agents can do, but they are trapped inside: Claude Code, Cursor, local agents, API tooling and enterprise setups. Through Dot, users can now connect any MCP directly into their AI workspace, while maintaining Dot’s privacy boundary around the entire workflow. This means Dot users won’t just ask models questions, they’ll be able to connect tools, inspect onchain state, check portfolios, prepare transactions, and interact with Base from inside the chat flow. And yes, we’re starting with the big one. The Base MCP. This is a major step toward Dot’s agentic vision: powerful AI agents that can interact with the world without compromising user privacy. Check our demo below, where we integrate the updated Base MCP into Dot, and utilize it to buy $10 in $DOT, all whilst retaining full anonymity ↓

Dot

10,268 views • 24 days ago

Base just launched something that changes how AI agents interact with blockchain. It's called Base MCP. Here's what it actually does 🧵 Base MCP is an open-source MCP server built by Coinbase for the Base network. It connects AI clients, Claude, ChatGPT, to Base Network. You type a natural language prompt. The agent prepares the transaction. You approve it. Done. Your keys never touch the server. Nothing moves on-chain without your explicit sign-off. you can use it to Track portfolio balances across Base and any Base Account supported EVM chain. View transaction history. Send funds Swap tokens Use supported apps and protocols on Base through skill plugins Pay for x402 enabled services To test it, I connected it to BlockLottery, an on-chain lottery protocol with NFT tickets and VRF-powered draws. Two questions to the agent: → "What lotteries are open right now?" Queried the factory contract. Matched the partner dashboard exactly. → "Check this wallet's portfolio." Scanned the chain, handled RPC limits, returned a clean breakdown. Spot on. This is what crypto-native AI tooling looks like. Not hype. An actual working MCP server, launched May 26, 2026. Base MCP docs: BlockLottery: Base Build Base #blockchain #AI #Web3

Base just launched something that changes how AI agents interact with blockchain. It's called Base MCP. Here's what it actually does 🧵 Base MCP is an open-source MCP server built by Coinbase for the Base network. It connects AI clients, Claude, ChatGPT, to Base Network. You type a natural language prompt. The agent prepares the transaction. You approve it. Done. Your keys never touch the server. Nothing moves on-chain without your explicit sign-off. you can use it to Track portfolio balances across Base and any Base Account supported EVM chain. View transaction history. Send funds Swap tokens Use supported apps and protocols on Base through skill plugins Pay for x402 enabled services To test it, I connected it to BlockLottery, an on-chain lottery protocol with NFT tickets and VRF-powered draws. Two questions to the agent: → "What lotteries are open right now?" Queried the factory contract. Matched the partner dashboard exactly. → "Check this wallet's portfolio." Scanned the chain, handled RPC limits, returned a clean breakdown. Spot on. This is what crypto-native AI tooling looks like. Not hype. An actual working MCP server, launched May 26, 2026. Base MCP docs: BlockLottery: Base Build Base #blockchain #AI #Web3

BlockLottery

11,612 views • 1 month ago

With Omneky AI Avatars, you can bring your products to life in seconds. Whether it’s a chef showcasing kitchenware or a fitness influencer highlighting gear, our avatars don’t just stand there—they interact, demonstrate, and drive results. Why brands are switching to Omneky: • Proven Performance: Up to 8x ROAS and 5x more sales. • Ultimate Customization: Choose from our diverse library or create your own custom avatar. • Seamless Workflow: Just upload your product, write your script, and launch. Ready to create smarter ads, faster? 📷 Try it for free at

Omneky

53,014 views • 5 months ago

Today, Tracelight is launching Spreadsheet Apps. For the first time, you can turn your Excel models into interactive, shareable apps that calculate live in the browser. Your spreadsheet is no longer just a file. It’s the back-end of any app you want to build. Here’s just a few things that makes possible: - Explore deals live: Toggle scenarios, adjust assumptions, and watch dashboards update instantly during meetings - Build dynamic EBITDA bridges: Switch base periods and drill into different categories - Animate cash flow: Use interactive Sankey diagrams to visualise exactly how cash flows through a business - Generate interactive reports: Embed responsive, calculation-driven charts directly into your commentary Your job is to create a story from complex data. Spreadsheet Apps are a new way to do that. Try them today at tracelight[dot]ai

Today, Tracelight is launching Spreadsheet Apps. For the first time, you can turn your Excel models into interactive, shareable apps that calculate live in the browser. Your spreadsheet is no longer just a file. It’s the back-end of any app you want to build. Here’s just a few things that makes possible: - Explore deals live: Toggle scenarios, adjust assumptions, and watch dashboards update instantly during meetings - Build dynamic EBITDA bridges: Switch base periods and drill into different categories - Animate cash flow: Use interactive Sankey diagrams to visualise exactly how cash flows through a business - Generate interactive reports: Embed responsive, calculation-driven charts directly into your commentary Your job is to create a story from complex data. Spreadsheet Apps are a new way to do that. Try them today at tracelight[dot]ai

Peter Fuller

68,142 views • 26 days ago