Tech
Littlebird raises $11M for its AI-assisted ‘recall’ tool that reads your computer screen
There has been a lot of talk around building context for AI systems. In consumer software, we have seen startups being built around search, documents, and meetings. All of them want to capture context from your digital life, provide connections to other tools, and let you query all that data. Some tools went further. For instance, Rewind (which became Limitless and sold to Meta) and Microsoft Recall aim to capture everything happening on your screen and help you remember it all.
A new startup called Littlebird is trying a similar thing with a slightly different approach. While apps like Rewind store screenshots or some kind of visual data, Littlebird is “reading” the screen and storing the context in text format.
The core idea behind the product is that since it is reading your screen all the time, you don’t need to provide additional context for productivity. The startup believes that while a lot of AI tools are trying to distract you, Littlebird can work in the background and can only appear when you want it to.
When you set up Littlebird on your computer, you can customize which apps you want the app to ignore and not capture any context. The startup said that it automatically ignores password managers and sensitive fields in web forms like passwords and credit card details. You can opt to connect other apps like Gmail, Google Calendar, Apple Calendar, and Reminders with the app, as well.
The app lets you ask questions about your data, offering pre-generated prompts to get you started, such as “What have I been doing today?” or “What kind of emails are important to me?” In a couple of days of usage, I noticed that these prompts became more personalized as time went on.
Littlebird also has an in-built Granola-like notetaker that uses system audio and runs in the background to capture transcription from meetings and create notes and action items based on that. When you open a meeting in the detailed view, there’s an option called “Prep for meeting” that takes the context of past meetings, emails, and company history into account to give you more details about the meeting. The feature also fetches information from sources like Reddit to inform you what users are thinking about a particular product or a company.
Another tool called Routines offers detailed prompts for Littlebird to run at a repeated interval, such as daily, weekly, or monthly. The company lists some ready-to-use routines like daily briefing, weekly activity summary, and yesterday’s work summary. Users can create their own routines as well with custom instructions.
Littlebird was founded by Alap Shah, Naman Shah, and Alexander Green in 2024. Brothers Alap and Naman founded Sentieo, a platform for institutional investors, which was sold to market intelligence firm AlphaSense. They previously also co-founded a health-food company called Thistle. Alap was also a co-author of the viral Citrini paper on how AI agents could destroy the economy, which resulted in various tech stocks dipping. Green has built various companies in hardware, software, and AI.
“We got started when Alap posed an interesting problem that AI is going to be about your [users’] data. Models don’t know anything about you, and that limits their utility. We were thinking about various UI and OS paradigms that were likely to be ripe for disruption with AI and that kicked off Littlebird as a project,” Green told TechCrunch over a call.
Green noted that while Rewind was close to what Littlebird is trying to do, it relied on screenshots and didn’t have a great search experience. He said that the startup is just getting started and there are many more problems to solve, including making large language models (LLMs) understand different kinds of context about users.
With Littlebird, users can remove their data at any time, and their data is stored in the cloud with encryption. Green said that the rationale behind storing the data in the cloud was to run powerful models for different AI workflows, which is not possible locally.
“We don’t store any visual information. We only store text, which makes the data a lot lighter-weight. I think that was probably another reason that Recall and Rewind struggled, which is that taking a screenshot is a lot more data hungry. I also think it’s more invasive,” he said.
Littlebird is free to download and use, but to get more usage limits and access to features like image generation, users can pay for plans starting from $20 per month.
The startup has raised $11 million in funding led by Lotus Studio, with participation from Lenny Rachitsky, Scott Belsky, Gokul Rajaram, Justin Rosenstein, Shawn Wang, and Russ Heddleston.
Several of these investors are regular users of the product. Rajaram, who has worked at Google and Facebook on ad products, said that the product removes the friction of remembering, retrieving, and re-explaining your own work. DocSend co-founder and CEO Heddleston said that he rewrote the company’s marketing site using the tool, using context from meetings, email, Notion, and more.
Rachitsky, who runs his own newsletter and podcast, said that AI is as good as the context it has, and it misses so much about your day. He said he asks the tool about improving his productivity workflows and being happier. He said that for long-term success, the product will need to find a killer use case.
“I think it’s all about finding that killer must-have use case. That’s all that matters to this product’s success right now. I know a lot of people already have found that for themselves, and the team is leaning into these experiences as they see these use cases emerge,” he noted.
“I’ve had a lot of AI product builders on the podcast, and the most consistent theme is that you don’t actually know how people will use your product until you put it out. The strategy is to put out early stuff, see how people use it, and double down on those use cases versus waiting for something totally figured out.”
Tech
Anthropic releases Opus 4.8 with new ‘dynamic workflow’ tool
On Thursday, Anthropic released Opus 4.8, the newest version of its most advanced publicly available model. The model is available everywhere, with standard pricing at the same level as the previous Opus release.
The new model comes just 41 days after Opus 4.7 was released, a much faster upgrade cycle than normal for Anthropic. (The most recent Sonnet and Haiku models are three and seven months old, respectively.) The fast turnaround may have something to do with the chilly reception to Opus 4.7, which some users found disappointing.
That interval has also seen significant new releases for OpenAI’s Codex and Google’s Gemini Flash model, increasing the pressure on Anthropic to keep pace.
Opus 4.8 comes with the expected best-in-class benchmark results, but there’s also particular attention to how the model manages bad or uncertain data. In the launch post, Anthropic’s early testers found that the new model is “more likely to flag uncertainties about its work and less likely to make unsupported claims.”
Echoing this point, a testimonial from Bridgewater associates said the biggest difference in the upgrade was “Opus 4.8’s tendency to proactively flag issues with the inputs and outputs of an analysis, something other models routinely missed and left to the users to catch.”
Together with the new model, Anthropic launched a feature called Dynamic Workflows, which will be available in research preview. The system is designed to help larger models like Opus manage complex tasks across hundreds of parallel subagents.
“Claude Code alongside Opus 4.8 can now carry out codebase-scale migrations across hundreds of thousands of lines of code from kickoff to merge, with the existing test suite as its bar,” the post explains.
Anthropic is still holding back its most advanced Mythos model after a tentative preview last month raised cybersecurity concerns. However, the company hinted in today’s Opus release that the Mythos preview period might soon end, once necessary safeguards are complete.
“We’re making swift progress on developing these safeguards and expect to be able to bring Mythos-class models to all our customers in the coming weeks,” the company wrote.
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Tech
Corgi announces $106M raise at $2.6B valuation — double what it was worth 3 weeks ago
Insurance tech Corgi on Thursday announced a $106 million Series B1 raise, valuing the company at $2.6 billion, just three weeks after announcing a $160 million Series B at a $1.3 billion valuation and four months after its $108 million Series A. The company offers insurance, working specifically with startups in areas like tech, cyber, and general liability; it counts Deel and Artisan among its customers.
Even in the current go-go dealmaking environment, that sequencing is remarkable. While startups raising back-to-back rounds at steep step-ups have become almost routine, a company whose valuation doubles in three weeks is unusual enough to raise questions, particularly given the investor set in both rounds is the same.
Asked what material event justified that kind of jump in such a short window, investor Kanyi Maqubela of Kindred Ventures cited the company’s momentum. It’s an explanation may satisfy some, but the practice more generally is starting to attract scrutiny in LP circles. “There’s growing distrust of internal markups,” said one LP who backs numerous venture funds and asked not to be named. Said this person of exit mechanisms specifically, “[I]f a company [is] just getting re-priced upward with no real liquidity event, LPs notice.”
The specific concern is that a fund that invests at one valuation, then marks it up three weeks later can make portfolio performance look stronger on paper than the underlying business may justify.
In this case, Maqubela suggested, that’s not an issue for Kindred’s limited partners, nor for Corgi’s other investors, which include Prime Capital, Leblon Capital, Alumni Ventures, and Y Combinator.
“LPs really like exits above all,” Maqubela said in a message to TechCrunch. “They discount the value of markups since those aren’t always reflective of reality.” He added that in this case, revenue growth rationalized the new round.
Founded in 2024 by Emily Yuan and Nico Laqua, Corgi says it’s building coverage for what it calls “newer categories” of risk while also addressing an often underserved market among legacy insurance carriers — startups and the unique liability problems they face, including those related to AI.
“Corgi covers anything from when an AI system causes financial loss, misinformation, operational failures, or compliance issues,” Laqua told TechCrunch. “Many legacy policies either exclude these risks or handle them ambiguously.
Corgi is not alone in the insurtech market; Vouch, which is backed by Y Combinator, operates in a similar space.
When asked about the back-to-back rounds, Laqua said that insurance is a “highly capital-intensive industry,” and that “demand has accelerated quickly across new product lines and partnerships.” Building an AI-native platform compounds those costs further.
“We’re best known for our business insurance products, but the additional capital will be used to expand into new insurance categories, scale the AI underwriting platform, grow embedded distribution partnerships, and continue growing our team,” Laqua said.
Corgi has now raised $378 million in total funding from its investors.
Correction: The title of this headline originally misstated the valuation due to an editing error.
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Tech
Startup Battlefield 200 application deadline extended to June 8 after overwhelming demand
Founders, the battlefield is still open, but not for much longer.
After overwhelming demand from founders around the world, TechCrunch has extended the Startup Battlefield 200 application deadline to June 8. If you thought you missed your opportunity to pitch live on the Disrupt Stage in October at San Francisco’s Moscone West, this is your final chance to step into one of tech’s most competitive startup arenas.
Nominate a standout startup or submit your application before the deadline.
What is Startup Battlefield 200?
Startup Battlefield 200 is where ambitious early-stage startups go from unknown to impossible to ignore. Selected founders will take the spotlight at TechCrunch Disrupt 2026, pitching live in front of elite investors, influential media, and the global startup ecosystem. One startup will walk away with $100,000 in equity-free funding, but every company selected gains visibility that can reshape its trajectory.
More than 1,700 startups have participated in Startup Battlefield over the years. Together, they’ve raised more than $32 billion and produced over 250 exits, including acquisitions by companies like Microsoft, Google, Salesforce, Uber, and Amazon.
This is the same competition that helped launch companies like Dropbox, Discord, Mint, Fitbit, and Trello. More than 1,500 startups have competed in Startup Battlefield, and many have gone on to become category-defining businesses.
Why founders are still racing to apply
Competition for Startup Battlefield 200 has intensified as founders look for ways to stand out in a crowded fundraising environment. The extension gives more startups the opportunity to enter, but expectations are higher than ever.
Selected startups receive:
- A free exhibit table for all three days of Disrupt.
- Four complimentary Disrupt passes.
- Branding and visibility inside the Disrupt event app.
- Press exposure and lead-generation opportunities.
- Access to founder-only masterclasses.
- The opportunity to pitch live on the Disrupt Stage.
- Direct feedback from leading venture capitalists.
- A chance to win $100,000 in equity-free funding.
Who should apply
TechCrunch is looking for bold early-stage startups with a working MVP and a vision capable of disrupting an industry. Bootstrapped, pre-seed, and seed-stage startups are encouraged to apply. Select Series A startups in capital-intensive sectors may also qualify.
If you are building something category-changing, this is your chance to prove it on one of the biggest stages in tech.
The clock is still ticking
The deadline extension was driven by overwhelming demand, but the battlefield will not stay open forever. Thousands of startups are competing for a limited number of spots, and every application is reviewed closely by the TechCrunch team.
This is your opportunity to get in front of investors, customers, media, and future partners all in one place. Nominate or apply before June 8 and fight for your place among the next generation of breakout startups.
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