Littlebird

Full context AI that can recall details from your screen

Meetings

Artificial Intelligence

Virtual Assistants

I work in Customer Success here so I'll skip the pitch.

a few weeks ago I typed seven words to Littlebird with zero context. got back a full project breakdown. it already knew what I was working on. I hadn't told it anything.

some tools you use. some you think with. this one crossed that line for me pretty quickly.

proud of this team today.

my life has been easier since i started using littlebird. it runs on the side, watches on the side - and then one day you're mid-conversation and instead of scrambling you just go "let me ask littlebird." you stop losing things. that's basically it.

The "full context" framing isn't just marketing - it’s a game-changer for anyone managing a lot of moving parts.

I use it to keep track of everything from my training routine and kickboxing schedule to complex engineering.

What I love most is that I can just ask a question and Littlebird knows the answer because it saw what I saw. No more manual data entry or hunting through old notes to find out what was decided in a standup.

It gave me back the mental bandwidth to focus on deep work.

Being part of the the team that built a product that is used by a lot of users in very different scenarios and also the product the is used by your own on daily basis is amazing.

@Littlebird is all about context, your personal own context, that makes the interaction with Littlebird so magical and accurate.

As a technical person @Littlebird I am also spending time on interviews - with @Littlebird I am getting the summary 5 minutes after the call and it is not just summary and highlights from transcription. @Littlebird takes transcription, your personal notes from any application, candidates CV and most importantly - the captured context about the company, team, expectations, pain points that we want to resolve. As a result you are a getting summary that is so aligned with your personal impressions and internal track that your impression is just "Wow!!!".

And this is the only one scenario among hundreds of other where @Littlebird can help you, improve your productivity and be more confident daily.

@Littlebird knows how the things are done, it knows how you do things and it helps to make them better!

Anton Holub

Engineer and Technical Lead @ Littlebird

Really cool take on AI assistants 👀

The idea of removing constant context-switching and letting AI already know your work is powerful. Feels like a big step beyond prompt-based tools.

Excited to see how this evolves — especially around privacy and real-world daily use 🚀 , Congratulations on the Product Hunt launch! 🚀

The "full context from your screen" framing is interesting - where does the screen data actually live? Local only, or does it go through your servers? That's usually the first thing people ask before they'll actually use something like this.

Hey folks, Chris here 👋 I work on design at Littlebird. As someone whose work is spread across Figma, Slack, calls, and iterations, a lot of decisions don’t live in one place. Building Littlebird has been no different, except now I use Littlebird to keep track of it.

In a meeting recently, I was asked about a design decision from weeks back. I didn’t remember the specifics. That happens more often than I’d like, because the context is usually spread across multiple threads and explorations.

I asked Littlebird, and it pulled everything together, including the explorations, conversations, and the final direction. It helped me get back to the “why” quickly. That answer didn’t exist anywhere cleanly. Littlebird just pieces it together as you go.

Give it a try and see how it fits into your workflow. Would love to hear how you end up using it!

congrats on the launch, this is genuinely exciting stuff! curious about Routines specifically - how do you actually set one up? do you define what you want it to surface, or does it figure that out on its own over time?

Came out of a product meeting, opened Littlebird, typed: "what are my action points from the meeting?" Nothing else.

It came back with a full breakdown - who raised what, which asks were directed at me specifically, exact priorities in the order they were discussed. Hadn't told it anything else. Just asked, the way you'd ask someone who was sitting next to you in the room.

Most AI tools with "memory" are still just better search. What Littlebird does is closer to synthesis. "What should I focus on today?" gets you something specific to your actual week. "Prep me for this meeting" and it already knows who you were talking to, what got stuck, what needs addressing. None of that was set up. It just built up over nine months, the way context does with someone who's actually been paying attention.

I've been using Littlebird for a while now, and it's become an essential part of my day.

Here's one of my use cases: I've set up a routine that pulls all support emails related to the features I own, from the past 24 hours, and surfaces them with relevant context(a duplicate, something already fixed, or tied to a different issue I'm working on). I get up to speed in under a minute every morning. It's the first AI tool that feels like it's working with my day instead of asking me to manage it.

Congratulations on the launch! 🎉

My AI stack has changed a lot over the past year. Gemini for research, Kimi for execution, Littlebird for everything that needs context.

That last part is where it actually gets interesting. I've been building a system for my firm from scratch over the past few months - and through all of it, Littlebird tracked every thread without me having to re-brief it each session.

At 1am when the backend crashed, I didn't explain the project setup. I just showed the error. It told me which file to fix, which package was missing, what command to run. Next morning when I asked "where were we on the settings features?" it came back with the full backlog - what was done, what was parked, what the next priority was.

That kind of continuity usually costs you hours. With Littlebird it just doesn't happen.

It's also the only tool in my stack that notices things sideways. When I was evaluating a new tool, it flagged a potential compliance issue in a vendor contract - based on a document it had watched me read two weeks prior. Never mentioned it in that conversation. That's not recall, that's actually following your work.

The honest advisor part surprised me too. It told me my job search approach was scattered before I asked. Was right. Helped me figure out my career niche in one conversation.

I've requested features that later shipped. I've had it talk me out of bad decisions. At some point it stopped feeling like a tool.

Congrats on the launch!

This is so GOOOD!

How are you managing the data though. Access to this much applications and settings would mean data learning, what are your data governance policies and ideas?

I manage a lot of moving parts. Security audits, compliance reviews, vendor contracts, team stuff, back-to-back meetings - constant context-switching, all day.

Every AI tool I've used makes you do the setup work first. "Okay, so there's this vendor we're mid-negotiation with, the team flagged something in yesterday's standup, and there's this open compliance item from last week's meeting." Five minutes of explaining before you can even ask the actual question.

Now I just ask Littlebird. It already knows.

Asked it once if our compliance was in order. It named the exact vendor agreements still missing a signature, surfaced something from a meeting two weeks back I'd completely forgotten, and flagged a gap my team had raised that I hadn't even connected to the problem yet.

No briefing. Just the answer. @Littlebird

When Littlebird answers a question or drafts something, how do you keep it grounded and auditable—can users see what sources it used (meeting, doc, page), and how did you prioritize that transparency vs. speed/UX as you built the product?

Wanted to share a few ways I actually use Littlebird day-to-day as someone who's typically running 4-7 calls a day.

A personal favorite for me is quickly pulling themes from my calls to share w/ other teams. I do a lot of user calls, and Littlebird will go back through the recordings, pull out recurring themes and insights, then put it in a format I can easily share with marketing or product.

On heavy meeting days I lean on it to brief me before each back-to-back, I get the context, last conversation, open threads and can be fully prepped even with just a couple minutes.

Hey folks, Dhaval here from Littlebird(LB) Enginneering. I've always wanted to build products that I can personally use so, wanted to share one of the usecases for which I personally use LB as a developer.

I'm terminally online either on Slack,looking at our Obs dashboards, Cursor/CC, etc in case of an production issue. A lot of times its too much, multiple threads ongoing(not just with humans but with agents too) and you loose track of what everyone else is trying to debug, what you tried, what did you find, is it co-relating with what others arre saying or what users are saying, etc. In these cases, LB has been a live saver. I constantly take a step back, let LB analyze everything I did and keep on track for the next steps.

This is just one of many ways I like using LB. Everyone uses it in many different ways and it's always exciting to hear about those usecases! Do share if you also have scenarios where you might be context switching a lot(in a short or long span[days]) and we would love help you answer how LB can help in those cases :)
If this sounds exciting, you should most def give it a shot!

What I love most about Littlebird is that it doesn't rely on integrations. No connecting apps, no deciding what to feed it. If I've seen something, Littlebird has seen it too. A Slack message, a doc someone shared, a contract I opened once, an article I read. It's just all there.

That's where the unexpected use cases come from. You start asking things you'd never think to ask another tool, because it's not just capturing what it sees, it understands the timing, the context, the situation around it. It connects dots you didn't even know needed connecting.