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Linq raises $20M to enable AI assistants to live within messaging apps

Sometimes, you might be sitting on a hot product and not know it until the market demands it.

After launching as a digital business card that doubled as a lead capture tool for sales teams, Birmingham, Alabama-based Linq pivoted a few times before landing on an idea last year: helping businesses better communicate with their customers by upgrading from SMS (text) to iMessage and RCS.

Now, Apple already lets businesses do this via its Messages for Business service, and Twilio has built an $18.26 billion business by helping companies text their customers. But users can always tell when they’re talking to a business — the texts are displayed in gray, and the branding is often obvious.

Linq’s customers wanted to be able to send blue-bubble messages to their customers, not green or gray, to lend an air of authenticity to their communications.

The startup, founded by former Shipt executives Elliott Potter (CEO), Patrick Sullivan (CTO), and Jared Mattsson (president), heard that feedback and launched an API in February 2025 that lets companies message their customers natively within iMessage, leveraging all the capabilities Apple’s platform offers to iPhone users, like group chats, emojis, threaded replies, images, and voice notes. Within eight months, Linq had doubled its annual recurring revenue it had built over four years, Potter told TechCrunch.

Linq was not content with its newfound product-market fit, however, as the advent of AI agents gave the company an even larger market to sell its tech to. That idea was sparked by an AI assistant called Poke, which can handle tasks, answer questions, and schedule your calendar from inside iMessage.

“In spring of last year, this company came to us, called the Interaction Company of California, and they were building this AI assistant called poke.com and they were like, ‘Hey, we we don’t have a CRM, but we really want to use your API’,” Potter told TechCrunch.

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Poke went viral at launch last September, which, Potter says, led to his team being inundated with requests for tapping their messaging API. All of a sudden, a slew of AI companies wanted to offer their chatbots and assistants directly through iMessage, RCS, and SMS.

Linq now had a decision to make: stick with its original, steady revenue stream from serving B2B clients, or pivot once again to leverage its tech stack and become an infrastructure layer for a new segment of the AI market.

“We still love our sales customers, and we love that use case, but our choices were, do we stay a spoke of this wheel, or do we build the hub? Do we focus on being the infrastructure layer for all these different applications of programmatic messaging?”

Potter thinks that consumers are suffering from app fatigue; but with Linq’s technology, there’s no need to use another app to interact with AI assistants as they can all live within their messaging app. Also, developers won’t have to worry about building an app since they can just build for a messaging-native interface instead.

“Poke.com, along with others, have proved that AI has gotten good enough,” Potter said. “You don’t need a traditional app anymore to do things. Really, you just need an interface that will let you talk to an intelligent enough AI, maybe connect it to some of your systems, and just tell it what to do, and give it feedback.”

Linq ended up pivoting, and it says its customer base has expanded by 132% from the previous quarter, and on average its customer accounts have expanded by 34%. Its customers’ AI agents now reach 134,000 monthly active users via the platform. The company claims it facilitates more than 30 million messages per month, resulting in net revenue retention of 295% with zero churn.

To continue building its tech, the company said on Monday it has raised $20 million in a Series A funding round led by TQ Ventures. Mucker Capital and some angel investors also participated. The company plans to use the fresh cash to expand its team, develop a new go-to-market motion, and continue building its tech. Linq did not disclose its valuation.

Rosy outlook aside, the reality is that Linq is still building on top of Apple’s platform — at least for now. There’s no telling if Apple will pull a Meta and bar third parties from offering AI chatbots on its platform. Besides, iMessage is popular in the U.S., but the rest of the world also uses other messaging services like WhatsApp, WeChat, Telegram, and Signal.

Potter, however, says Linq’s eventual goal lies beyond messaging. “Our vision for the platform is everything you need to build conversational tech, and that’s not limited to a few channels. Right now, we have programmatic voice, we have iMessage, RCS, SMS. That’s just the beginning. Our ambition is, wherever your customers are, you should be able to talk to them, be it Slack, be it email, be it Telegram, WhatsApp, Discord, Signal, anywhere your customers are, and can converse.”

“By making AI-to-human communication as frictionless as texting a friend, Linq is enabling an entirely new category of companies,” Andrew Marks, co-founding partner of TQ Ventures, said in a statement. “Linq’s founding team is extraordinary, and we have no doubt in their ability to execute on this massive opportunity.” 

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Granola raises $125M, hits $1.5B valuation as it expands from meeting notetaker to enterprise AI app

Users might not like bots in meetings visibly taking notes, but a lot of them don’t mind if an app on someone’s computer is doing the transcription. That’s the core reason behind Granola’s popularity, which helped it secure $125 million in Series C funding led by Danny Rimer at Index Ventures, with participation from Mamoon Hamid at Kleiner Perkins. This has tipped the company’s valuation to $1.5 billion, it said, up from $250 million as of the last round.

The company said that existing investors like Lightspeed, Spark, and NFDG participated in the round as well. With this round, which comes less than a year after its $43 million round, the startup has raised $192 million.

From being a prosumer app that sits on your computer, transcribes meetings, and generates notes, Granola has been building features to suit an enterprise stack. For instance, last year, it started allowing teammates to collaborate on notes. It has now made inroads into enterprises such as Vanta, Gusto, Thumbtack, Asana, Cursor, Lovable, Decagon, and Mistral AI, it says.

With the fundraising announcement, Granola is also adding a feature called Spaces, which are essentially workspaces for a team. You can also create Folders within this workspace. Spaces have granular controls around who can access what part. Users can query notes from Spaces and folders separately.

Image Credits:Granola

The company understands that AI meeting notes are becoming a commodity at this point, with many players offering this feature. That is why, after introducing a Model Context Protocol (MCP) server in February, the company is introducing two new APIs for integrating the context of notes into AI workflows.

Granola now has a personal API that lets people access their notes and notes shared with them, and an enterprise API to let admins work with team context. The personal API is available to users on business and enterprise plans and the enterprise API is available only to enterprise users.

The API launch comes after a bunch of users, including an a16z partner, were mad at Granola for locking down its local database and breaking on-device AI agent workflows they had set up. Granola co-founder Chris Pedregal clarified that the company didn’t want to lock down data, but its local cache was not designed to handle AI workflows, and the startup decided to change how it stored the data. That move broke the agent workflows. Pedregal promised at that time that Granola would launch APIs for users to access data in bulk. He also said that the company will figure out a way to work with local AI agents.

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The company said that it is also updating its MCP server to let users see notes in folders and notes shared with them. It noted that its app already connects with tools including Claude, ChatGPT, Lovable, Figma Make, Replit, Manus, v0, Bolt.new, Duckbill, and Dreamer, and the startup is working on bringing more partners on board.

As meeting note-taking becomes a commonplace feature, the value for startups in this category is to enable users and companies to take actions based on the notes and transcripts. This could range from drafting follow-up emails, or finding time for the next set of meetings, or drawing knowledge from the company database and CRMs to get closer to finalizing a lead. Some companies, such as Read AI, Fireflies, and Quill, have already started working in this direction.

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Harvey confirms $11B valuation: Sequoia triples down

One of the blockbuster hits of the AI age is, without a doubt, legal tech startup Harvey. On Wednesday, the company confirmed that it had closed a new raise at an $11 billion valuation, after reports circulated last month that it was working on another monster round.

The company confirmed it inhaled $200 million from this round, co-led by returning investors Singapore’s GIC and Sequoia. Existing investors Andreessen Horowitz, Coatue, Conviction Partners, Elad Gil, Evantic, and Kleiner Perkins also participated.

With this new funding, the company has raised more than $1 billion in total, and its valuation jumped over 3.5x in a year. Harvey was valued at $8 billion from a round announced in December, led by Andreessen Horowitz. Before that, it was valued at $5 billion from a round led by Kleiner Perkins and Coatue, announced in June, and was at $3 billion from a Sequoia-led raise announced in February 2025.

Sequoia has now co-led three of its rounds since its Series A, a move even Sequoia partner Pat Grady acknowledged was an unusually large show of faith for the VC firm, Grady said in the press release. A few months ago, founder and CEO Winston Weinberg described to TechCrunch EIC what a wild ride it’s been.

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How soap opera-TikTok hybrids became a billion-dollar business

Over the past few years, a new category of mobile apps has quietly exploded into a multi-billion dollar business. They’re called “micro dramas” — short-form, mobile-first scripted shows designed to be watched vertically on your phone. Think soap opera meets TikTok, complete with secret billionaire romances, disapproving werewolf mothers-in-law, and cliffhangers engineered to keep users tapping. The leading app, ReelShort, made $1.2 billion in consumer spending last year alone. 

On this episode of TechCrunch’s Equity podcast, Rebecca Bellan and TechCrunch senior reporter Amanda Silberling sit down with Henry Soong, founder of Watch Club, who thinks the micro drama industry is still “in its MySpace era.” He has a vision for what the Facebook moment could look like. 

Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. 


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