Product Overview

Littlebird’s software runs in the background, reading everything displayed on a computer screen and converting that visual data into searchable text. Users can select which applications to ignore, and the system automatically skips password managers and sensitive form fields such as passwords and credit‑card numbers. The app connects to Gmail, Google Calendar, Apple Calendar, and Reminders, allowing users to ask natural‑language questions about their recent activity, like “What have I been doing today?” or “What emails are important to me?” Over time the prompts become more personalized.

In addition to text capture, Littlebird includes a Granola‑style notetaker that listens to system audio, transcribes meetings, and creates notes with actionable items. A “Prep for meeting” view pulls context from past meetings, emails, and company history, and can even fetch public sentiment from sources like Reddit to inform users about products or companies discussed.

Routines let users schedule recurring prompts—daily briefings, weekly summaries, or custom instructions—so the tool can deliver regular updates without manual prompting.

Founders and Background

The company was founded by brothers Alap Shah and Naman Shah, along with Alexander Green, in 2024. Alap and Naman previously built Sentieo, a platform for institutional investors that was sold to AlphaSense, and they also co‑founded the health‑food brand Thistle. Green has a track record of creating hardware, software, and AI companies. The team designed Littlebird to address what they see as a core limitation of large language models: the lack of personal user data to make AI truly useful.

Funding and Business Model

Littlebird raised $11 million in a round led by Lotus Studio, with participation from investors such as Lenny Rachitsky, Scott Belsky, Gokul Rajaram, Justin Rosenstein, Shawn Wang, and Russ Heddleston. Many of these backers are active users of the product. The application is free to download, but paid plans start at $20 per month, offering higher usage caps and access to features like image generation. Data is stored encrypted in the cloud, allowing powerful AI models to run on user context without retaining any visual information.

Investors highlighted the tool’s ability to eliminate friction in recalling, retrieving, and re‑explaining one’s own work. They noted that the product’s long‑term success will depend on discovering a “killer” use case that users adopt broadly. The founders intend to iterate quickly, observe real‑world usage, and double down on the most valuable workflows.

Used: News Factory APP - news discovery and automation - ChatGPT for Business