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Littlebird Raises $11M for AI Screen-Reading Recall Tool Revolutionizing Personal Data Querying and Productivity

Andrew LeeAndrew Lee2h ago

Littlebird Raises $11M for AI Screen-Reading Recall Tool Revolutionizing Personal Data Querying and Productivity

Littlebird announced $11 million in funding to develop its groundbreaking AI-assisted recall tool that reads your computer screen and stores context as searchable text.

This innovative approach allows users to query their entire digital workflow effortlessly, eliminating the need for manual context provision in daily tasks.

Transforming Productivity with Smarter Context Capture

By focusing on text extraction rather than screenshots, Littlebird offers a lighter, more privacy-conscious alternative to tools like Rewind—now Limitless and acquired by Meta—and Microsoft Recall.

Founded in 2024 by brothers Alap Shah and Naman Shah, alongside Alexander Green, the startup leverages the founders' success from selling Sentieo to AlphaSense and their viral Citrini Research paper on AI agents.

Powerful Features for Everyday Use

The tool runs silently in the background, integrating with Gmail, calendars, and reminders while automatically excluding sensitive data like passwords.

Personalized prompts evolve with usage, answering queries like "What have I been doing today?" or generating meeting prep from emails, past notes, and even Reddit insights.

Its notetaker transcribes system audio for action items, and Routines deliver automated daily, weekly, or custom summaries to boost efficiency.

Strong Backing from Top Investors

Led by Lotus Studio, the round includes prominent angels such as Lenny Rachitsky, Scott Belsky, Gokul Rajaram, and Russ Heddleston, many of whom are active users.

Investor Rachitsky emphasizes discovering killer use cases through early adoption, a strategy the team is pursuing to refine the product.

With data encrypted in the cloud and free access available, Littlebird positions itself for widespread adoption in the evolving AI productivity landscape.

Future enhancements will deepen LLM integration with user context, promising even greater impacts on personal and professional workflows.

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Published On: 2026-03-23 @ 16:00:00 (2 hours ago)

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