The AI recall tool that silently watches your screen — and remembers everything — just raised $11 million. Littlebird is a new startup building an AI-powered productivity app that reads your computer screen in real time, stores that context as text, and lets you query your own digital life. It costs nothing to download, works in the background, and just secured serious backing to take on much bigger players.
 |
| Credit: Littlebird |
The Problem With AI That Knows Nothing About You
Here is something most people do not think about: every time you open an AI tool, it starts from zero. It does not know what you worked on yesterday, what was said in your last meeting, or what emails have been piling up in your inbox. That blank-slate limitation is one of the biggest barriers to making AI genuinely useful in everyday work.
Littlebird was built to fix exactly that. The founding team — Alap Shah, Naman Shah, and Alexander Green — started with a simple but powerful observation: AI models are only as useful as the context they have access to. If a model knows nothing about you, it can only do so much. The goal with Littlebird was to give AI a continuous, rolling window into your work life so it never has to start over.
How Littlebird Actually Works
When you install Littlebird on your computer, it begins reading what is happening on your screen and converting that activity into stored text. Unlike tools that capture screenshots or record video of your screen, Littlebird works entirely in text format. That makes it significantly lighter on storage, and the founders argue it is also meaningfully less invasive.
You have full control over what gets captured. When setting up the app, you can choose which applications to exclude entirely. Littlebird automatically skips password managers and sensitive fields like credit card forms and login credentials. You can also connect external tools including Gmail, Google Calendar, Apple Calendar, and Reminders to give the AI even richer context about your schedule and communications.
Once it has been running for a while, you can ask it anything. Built-in prompts like "What have I been doing today?" or "What emails are most important to me?" give you a starting point. Early users report that these prompts become increasingly personalized the longer the tool runs, adapting to your actual work patterns rather than offering generic suggestions.
A Meeting Notetaker That Actually Prepares You
One of the most compelling features inside Littlebird is its meeting tool. The app captures system audio in the background during calls and automatically generates transcripts, notes, and action items. That alone would make it useful. But the "Prep for Meeting" feature takes things further.
Before a meeting starts, Littlebird pulls together context from your past meetings, relevant emails, and company history to build a preparation brief. It also surfaces what people are saying about a particular product or business online, drawing from community discussions and user feedback. The result is a briefing that feels less like a calendar notification and more like a knowledgeable colleague who has done the homework for you.
This kind of contextual preparation is hard to replicate with standalone tools. It requires piecing together information from multiple sources, which most people simply do not have time to do before every call.
Routines: Automated Briefings on Your Schedule
Beyond reactive querying, Littlebird also lets you set up what it calls Routines. These are scheduled AI tasks that run automatically — daily, weekly, or monthly — based on prompts you define. Out of the box, the app offers options like a daily work briefing, a weekly activity summary, and a recap of the previous day's output.
You can also build your own Routines with custom instructions, making the tool adaptable to almost any workflow. A founder tracking a product launch might want a daily summary of user feedback signals. A consultant managing multiple clients might set up weekly summaries per account. The flexibility here is genuine rather than surface-level.
Why Text Storage Is a Strategic Advantage
One of the sharpest decisions the Littlebird team made is choosing to store screen context as text rather than as images or video. Previous attempts at this category of product leaned on screenshots, which eat up significant storage and create real questions about data sensitivity. Storing a visual record of everything on your screen is, as co-founder Alexander Green put it, a lot more invasive.
Text-based storage solves several problems at once. The data footprint is far smaller. The content is easier to search and process with language models. And it feels less like surveillance, which matters when you are asking people to run a tool that watches their screen all day.
All data is encrypted and stored in the cloud. The cloud approach was a deliberate choice — running powerful AI models locally is not yet feasible for the workflows Littlebird is targeting, and cloud storage is necessary to make the product work at scale. Users can delete their data at any time, and the company has built clear opt-out controls into the setup flow.
The Team Behind the Tool
The founding trio brings a strong track record to the table. Brothers Alap and Naman Shah previously built Sentieo, a research platform used by institutional investors, which was later acquired by a major market intelligence firm. They also co-founded a healthy food company, showing range beyond pure tech.
Alap's name became widely known in tech circles after he co-authored a paper exploring how AI agents could disrupt financial markets — a piece that briefly moved stock prices when it circulated. Alexander Green has built companies across hardware, software, and AI, giving the team both technical depth and product instincts.
Who Is Backing Littlebird
The $11 million seed round was led by Lotus Studio. The investor list also includes names well-known in product and startup circles — a newsletter and podcast operator focused on product growth, the co-founder of a document analytics platform, and a former product leader from two of the largest tech companies in the world. Several of these investors are active users of the product, not just check-writers, which is a meaningful signal about day-to-day usefulness.
One investor who leads product growth content put it plainly: AI is only as good as the context it has, and today's tools miss most of what actually happens in your work day. He uses Littlebird to ask about improving his own productivity systems and building better habits. His honest note on what it will take to win is that the product needs to find its killer use case — the one scenario where users feel they genuinely cannot work without it
Another backer shared that he rewrote an entire marketing site using Littlebird, pulling context from meetings, emails, and project notes without having to manually gather all that information first. That kind of workflow compression — saving real hours on a real deliverable — is exactly the kind of evidence that a productivity tool needs.
What Makes Littlebird Different From What Came Before
The screen-reading recall category has had notable attempts before Littlebird. One earlier player built a similar product around screenshots and search, but reportedly struggled with the search experience and the sheer weight of storing visual data. Another approach came from a major operating system maker, building recall functionality directly into the OS — but faced significant backlash over privacy concerns and paused its rollout.
Littlebird's text-first approach sidesteps many of those complaints. There is no visual record sitting somewhere on a server. There are no screenshots of your private messages or sensitive documents. Just structured text context that powers AI queries. That distinction may seem subtle, but it changes the privacy calculus meaningfully for a lot of users.
Is It Worth Using Right Now
Littlebird is free to download and use at the base tier. Users who want higher usage limits or access to additional features like image generation can upgrade to paid plans starting at $20 per month. For a tool that is meant to run continuously in the background and serve as a layer of memory across your entire work day, that price point is reasonable.
The honest answer to whether it is worth using right now is: it depends on your workflow. If you spend most of your day bouncing between meetings, emails, documents, and browser tabs — and you frequently feel like you are losing track of context or wasting time reconstructing what happened — Littlebird has a compelling pitch. The more time it has to learn your patterns, the more useful it becomes.
The founding team acknowledges they are still in the early phase of understanding exactly how people will use the product. Their strategy is to ship, observe, and double down on the use cases that resonate most deeply. That is a sensible approach for a tool this new. And with $11 million and a group of hands-on investors behind them, they have the runway to find out what those killer use cases really are.
