The countdown continues, and only a few tables remain if you want to exhibit at TechCrunch All Stage, happening July 15 in Boston, so now’s the moment to act. Only 4 days remain to book your table and until space is almost completely gone.
Why your startup should be in the room
This founder-focused conference is where startups — from early-stage to IPO — get discovered, funded, and fast-tracked. The show floor at TC All Stage draws the people who matter: investors, founders, media, and ecosystem leaders all searching for what’s next.
Image Credits:Halo Creative
Every exhibitor receives perks
All exhibiting startups receive the following perks — and more. For the complete breakdown, check out the TC All Stage exhibitor page.
A full-day 6’ x 3’ exhibit table in a prime, high-traffic location
Strategic brand visibility — featured on-site, online, and in the app
A ticket bundle so your team can attend sessions and network
Access to thousands of attendees, including potential partners and clients
Placement in TC All Stage official exhibitor guide
An unmatched opportunity to generate leads and build buzz
Secure your spot before the deadline slams shut in 4 days
TechCrunch All Stage is where startups break through. But only a few tables remain — and they’re going fast. Deadline is June 6 or until tables sell out, whichever comes first. Book your table now and be part of it.
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#Days #Left #Time #space #exhibit #Stage #TechCrunch
Microsoft Edge is adding a new feature that will allow its Copilot AI chatbot to gather information from all of your open tabs. When you start a conversation with Copilot, you can ask the chatbot questions about what’s in your tabs, compare the products you’re looking at, summarize your open articles, and more.
In its announcement, Microsoft says you can “select which experiences you want or leave off the ones you don’t.” The company is retiring Copilot Mode as well, which could similarly draw information from your tabs but offered some agentic features, like the ability to book a reservation on your behalf. Microsoft has since folded these agentic capabilities into its “Browse with Copilot” tool.
Several other AI features are coming to Edge, including an AI-powered “Study and Learn” mode that can turn the article you’re looking at into a study session or interactive quiz. There’s a new tool that turns your tabs into AI-powered podcasts as well, similar to what you’d find on NotebookLM, and an AI writing assistant that will pop up when you start entering text on a webpage.
You can also give Copilot permission to access your browsing history to provide more “relevant, high-quality answers,” according to Microsoft. Copilot in Edge on desktop and mobile will come with “long-term memory” as well, which can tailor its responses based on your previous conversations. And, when you open up a new tab, you’ll see a redesigned page that combines chat, search, and web navigation, along with the Journeys feature, which uses AI to organize your browsing history into categories that you can revisit.
Meanwhile, an update to Edge’s mobile app will allow you to share your screen with Copilot and talk through the questions about what you’re seeing. Microsoft says you’ll see “clear visual cues” when Copilot is active, “so you know when it’s taking an action, helping, listening, or viewing.”
Microsoft Edge is adding a new feature that will allow its Copilot AI chatbot to gather information from all of your open tabs. When you start a conversation with Copilot, you can ask the chatbot questions about what’s in your tabs, compare the products you’re looking at, summarize your open articles, and more.
In its announcement, Microsoft says you can “select which experiences you want or leave off the ones you don’t.” The company is retiring Copilot Mode as well, which could similarly draw information from your tabs but offered some agentic features, like the ability to book a reservation on your behalf. Microsoft has since folded these agentic capabilities into its “Browse with Copilot” tool.
Several other AI features are coming to Edge, including an AI-powered “Study and Learn” mode that can turn the article you’re looking at into a study session or interactive quiz. There’s a new tool that turns your tabs into AI-powered podcasts as well, similar to what you’d find on NotebookLM, and an AI writing assistant that will pop up when you start entering text on a webpage.
You can also give Copilot permission to access your browsing history to provide more “relevant, high-quality answers,” according to Microsoft. Copilot in Edge on desktop and mobile will come with “long-term memory” as well, which can tailor its responses based on your previous conversations. And, when you open up a new tab, you’ll see a redesigned page that combines chat, search, and web navigation, along with the Journeys feature, which uses AI to organize your browsing history into categories that you can revisit.
Meanwhile, an update to Edge’s mobile app will allow you to share your screen with Copilot and talk through the questions about what you’re seeing. Microsoft says you’ll see “clear visual cues” when Copilot is active, “so you know when it’s taking an action, helping, listening, or viewing.”
#Microsofts #Edge #Copilot #update #pull #information #tabsAI,Microsoft,News,Tech,Web">Microsoft’s Edge Copilot update uses AI to pull information from across your tabs
Microsoft Edge is adding a new feature that will allow its Copilot AI chatbot to gather information from all of your open tabs. When you start a conversation with Copilot, you can ask the chatbot questions about what’s in your tabs, compare the products you’re looking at, summarize your open articles, and more.
In its announcement, Microsoft says you can “select which experiences you want or leave off the ones you don’t.” The company is retiring Copilot Mode as well, which could similarly draw information from your tabs but offered some agentic features, like the ability to book a reservation on your behalf. Microsoft has since folded these agentic capabilities into its “Browse with Copilot” tool.
Several other AI features are coming to Edge, including an AI-powered “Study and Learn” mode that can turn the article you’re looking at into a study session or interactive quiz. There’s a new tool that turns your tabs into AI-powered podcasts as well, similar to what you’d find on NotebookLM, and an AI writing assistant that will pop up when you start entering text on a webpage.
You can also give Copilot permission to access your browsing history to provide more “relevant, high-quality answers,” according to Microsoft. Copilot in Edge on desktop and mobile will come with “long-term memory” as well, which can tailor its responses based on your previous conversations. And, when you open up a new tab, you’ll see a redesigned page that combines chat, search, and web navigation, along with the Journeys feature, which uses AI to organize your browsing history into categories that you can revisit.
Meanwhile, an update to Edge’s mobile app will allow you to share your screen with Copilot and talk through the questions about what you’re seeing. Microsoft says you’ll see “clear visual cues” when Copilot is active, “so you know when it’s taking an action, helping, listening, or viewing.”
In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.
By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.
In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.
However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure.
“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”
Image Credits:Notion
Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure.
You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.
The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment.
Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.
Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”
Image Credits:Notion
Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP — short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.
Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more.
There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.
Image Credits:Notion
Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.
The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.
It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.
“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.
By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.
In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.
However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure.
“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”
Image Credits:Notion
Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure.
You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.
The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment.
Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.
Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”
Image Credits:Notion
Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP — short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.
Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more.
There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.
Image Credits:Notion
Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.
The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.
It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.
“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
#Notion #turned #workspace #hub #agents #TechCrunchAI,AI agents,Notion">Notion just turned its workspace into a hub for AI agents | TechCrunch
Productivity software maker Notion is stepping into the agentic era.
In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.
By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.
In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.
However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure.
“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”
Image Credits:Notion
Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure.
You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.
The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment.
Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.
Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”
Image Credits:Notion
Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP — short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.
Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more.
There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.
Image Credits:Notion
Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.
The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.
It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.
“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
The EliteBook and ProBook series are clearly aimed at enterprise users, with features like HP Wolf Security and HP Sure View privacy protection. HP claims some configurations can deliver up to 85 TOPS of AI performance, though realistically, most users will probably care more about battery life and everyday responsiveness than AI numbers alone.
The OmniBook lineup, on the other hand, targets mainstream users and creators. Models like the OmniBook Ultra 14, OmniBook X, OmniBook 5, and OmniBook 3 focus heavily on portability and AI-assisted features like posture correction, gesture controls, and smart meeting enhancements. HP is also bundling compact GaN chargers with some models, which is genuinely useful for people constantly traveling with their laptops.
New Work Stations
For professionals working with demanding AI or rendering workloads, HP has launched new Z-series workstations in India, including the HP Z8 Fury G6i, HP ZGX Nano G1n AI Station, HP Z4 G6i, and HP ZBook X G2i 16. These machines can be configured with both AMD and Intel hardware and are aimed at creators, developers, engineers, and enterprise users handling heavy workflows.
HP also announced updates to its Workforce Experience Platform (WXP), which now includes AI-driven tools for device management and workflow automation. The goal here is to help IT teams monitor devices more efficiently and identify system issues before they become major problems.
The EliteBook and ProBook series are clearly aimed at enterprise users, with features like HP Wolf Security and HP Sure View privacy protection. HP claims some configurations can deliver up to 85 TOPS of AI performance, though realistically, most users will probably care more about battery life and everyday responsiveness than AI numbers alone.
The OmniBook lineup, on the other hand, targets mainstream users and creators. Models like the OmniBook Ultra 14, OmniBook X, OmniBook 5, and OmniBook 3 focus heavily on portability and AI-assisted features like posture correction, gesture controls, and smart meeting enhancements. HP is also bundling compact GaN chargers with some models, which is genuinely useful for people constantly traveling with their laptops.
New Work Stations
For professionals working with demanding AI or rendering workloads, HP has launched new Z-series workstations in India, including the HP Z8 Fury G6i, HP ZGX Nano G1n AI Station, HP Z4 G6i, and HP ZBook X G2i 16. These machines can be configured with both AMD and Intel hardware and are aimed at creators, developers, engineers, and enterprise users handling heavy workflows.
HP also announced updates to its Workforce Experience Platform (WXP), which now includes AI-driven tools for device management and workflow automation. The goal here is to help IT teams monitor devices more efficiently and identify system issues before they become major problems.
#Launches #PCs #OmniPad #Tablet #Workstations #IndiaHP">HP Launches 20+ New AI PCs, OmniPad Tablet, And Workstations In India
HP has announced a massive refresh of its India lineup with more than 20 new products spanning laptops, tablets, AI workstations, collaboration gear, and even printers. And yes, just like every other tech launch in 2026, the letters “AI” were everywhere. Still, there are a couple of genuinely interesting products here, especially HP’s first Android tablet for India and a bizarre new “keyboard PC” that honestly looks straight out of a sci-fi setup.
HP OmniPad 12
Windows tablets are nothing new and have been on the market for ages. So, when HP announced its new OmniPad, we all thought it would be a Windows tablet for creative users. Well, it’s not. The OmniPad 12 is powered by the Qualcomm Snapdragon SM6475Q processor and runs Android, optimized for the bigger screen. The front houses a 12-inch 2K (1,200×2,000 pixels) multi-touch display with a 90Hz refresh rate and a peak brightness of 400 nits.
For cameras, HP has included a 13MP rear sensor alongside a front-facing 8MP camera for video calls. The company claims the 31Wh battery can deliver up to 18 hours of usage. Pricing starts at ₹48,999, which places the OmniPad 12 directly against Apple’s iPad Air and premium Android tablets from Samsung. We should get our hands on a review unit soon to see how well it actually stacks up.
PC in a Keyboard?
Among all the announcements, the HP EliteBoard G1a Next Gen AI PC is probably the strangest. HP describes it as the world’s first AI keyboard PC, which basically means the entire computer is built into a keyboard.
HP says the machine can deliver up to 50 TOPS of NPU performance using the AMD processor and is designed for hybrid work environments where portability and simplicity matter. While AI branding is becoming exhausting at this point, the compact form factor itself is actually pretty interesting.
EliteBook, ProBook, And OmniBook Get AI Upgrades
Beyond the bizarrness of the EliteBoard, HP has refreshed almost its entire laptop lineup in India with new processors. This includes the EliteBook X G2, EliteBook 8 G2, ProBook 4 G2, and several new OmniBook models.
The EliteBook and ProBook series are clearly aimed at enterprise users, with features like HP Wolf Security and HP Sure View privacy protection. HP claims some configurations can deliver up to 85 TOPS of AI performance, though realistically, most users will probably care more about battery life and everyday responsiveness than AI numbers alone.
The OmniBook lineup, on the other hand, targets mainstream users and creators. Models like the OmniBook Ultra 14, OmniBook X, OmniBook 5, and OmniBook 3 focus heavily on portability and AI-assisted features like posture correction, gesture controls, and smart meeting enhancements. HP is also bundling compact GaN chargers with some models, which is genuinely useful for people constantly traveling with their laptops.
New Work Stations
For professionals working with demanding AI or rendering workloads, HP has launched new Z-series workstations in India, including the HP Z8 Fury G6i, HP ZGX Nano G1n AI Station, HP Z4 G6i, and HP ZBook X G2i 16. These machines can be configured with both AMD and Intel hardware and are aimed at creators, developers, engineers, and enterprise users handling heavy workflows.
HP also announced updates to its Workforce Experience Platform (WXP), which now includes AI-driven tools for device management and workflow automation. The goal here is to help IT teams monitor devices more efficiently and identify system issues before they become major problems.
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