The conversation around providing AI systems with meaningful context is growing. In the consumer software space, numerous startups are emerging in areas like search, documents, and meetings. Their shared goal is to capture the context of your digital activities, integrate with other applications, and allow you to query that aggregated information. Some tools have taken this concept even further. Examples include Rewind—which later became Limitless and was acquired by Meta—and Microsoft Recall, both designed to record everything on your screen to aid memory. A new entrant, Littlebird, is pursuing a similar objective with a distinct method. Unlike applications such as Rewind that store screenshots or visual data, Littlebird "reads" the screen and saves the context in text format. The fundamental premise of the product is that by continuously reading your screen, it eliminates the need for you to manually provide additional context for productivity tasks. The startup posits that while many AI tools can be distracting, Littlebird operates unobtrusively in the background, only surfacing when you need it.

Upon installing Littlebird on a computer, users can specify which applications should be ignored to prevent context capture. The company states that it automatically excludes password managers and sensitive web form fields, such as those for passwords and credit card details. Users also have the option to connect other apps like Gmail, Google Calendar, Apple Calendar, and Reminders. The application allows you to ask questions about your data, providing pre-generated prompts to initiate queries, such as "What have I been doing today?" or "What kind of emails are important to me?" After a few days of use, these prompts tend to become more personalized. Littlebird also incorporates a built-in, Granola-like notetaking feature that uses system audio to run in the background, transcribing meetings and generating notes and action items. When viewing a meeting in detail, a "Prep for meeting" option leverages context from past meetings, emails, and company history to offer deeper insights. This feature additionally pulls information from sources like Reddit to provide perspectives on what users are saying about a specific product or company.

Another feature, called Routines, enables users to set detailed prompts for Littlebird to execute at regular intervals—daily, weekly, or monthly. The company provides several ready-to-use routines, including a daily briefing, weekly activity summary, and yesterday's work summary. Users can also create custom routines with their own instructions. Littlebird was founded in 2024 by Alap Shah, Naman Shah, and Alexander Green. Brothers Alap and Naman previously founded Sentieo, a platform for institutional investors that was sold to the market intelligence firm AlphaSense. They also co-founded a health-focused food company named Thistle. Alap was a co-author of the widely discussed Citrini paper on how AI agents could impact the economy, which led to temporary declines in various tech stocks. Green has experience building multiple companies across 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," Green noted. He observed that while Rewind approached a similar goal, it relied on screenshots and offered a suboptimal search experience. He emphasized that the startup is in its early stages, with many challenges remaining, such as enhancing large language models' (LLMs) ability to comprehend diverse user contexts.

With Littlebird, users can delete their data at any time, and all information is stored encrypted in the cloud. Green explained that cloud storage was chosen to enable the use of powerful models for various AI workflows, which isn't feasible with local processing. "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 stated.

Littlebird is free to download and use, but higher usage limits and access to features like image generation require a subscription, with plans starting at $20 per month. The startup has secured $11 million in funding led by Lotus Studio, with participation from investors including Lenny Rachitsky, Scott Belsky, Gokul Rajaram, Justin Rosenstein, Shawn Wang, and Russ Heddleston. Many of these investors are active users of the product. Rajaram, who has worked on ad products at Google and Facebook, remarked that the product reduces the friction of remembering, retrieving, and re-explaining your work. DocSend co-founder and CEO Heddleston mentioned using the tool to rewrite his company's marketing site by drawing context from meetings, email, Notion, and other sources. Rachitsky, who runs his own newsletter and podcast, noted that AI's effectiveness is tied to the context it possesses, and it often misses nuances of your daily life. He uses the tool to seek advice on improving his productivity workflows and enhancing his well-being. He added that for long-term success, the product must identify 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 observed. "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."