There was plenty of discuss round constructing context for AI systems. In shopper software program, we’ve seen startups being constructed round search, paperwork, and conferences. All of them wish to seize context out of your digital life, present connections to different instruments, and allow you to question all that information. Some instruments went additional. As an example, Rewind (which grew to become Limitless and bought to Meta) and Microsoft Recall goal to seize all the pieces occurring in your display and aid you keep in mind all of it.
A brand new startup known as Littlebird is making an attempt the same factor with a barely totally different strategy. Whereas apps like Rewind retailer screenshots or some sort of visible information, Littlebird is “studying” the display and storing the context in textual content format.
The core concept behind the product is that since it’s studying your display on a regular basis, you don’t want to offer extra context for productiveness. The startup believes that whereas plenty of AI instruments are attempting to distract you, Littlebird can work within the background and may solely seem if you need it to.
If you arrange Littlebird in your pc, you’ll be able to customise which apps you need the app to disregard and never seize any context. The startup stated that it mechanically ignores password managers and delicate fields in internet types like passwords and bank card particulars. You possibly can decide to attach different apps like Gmail, Google Calendar, Apple Calendar, and Reminders with the app, as properly.
The app permits you to ask questions on your information, providing pre-generated prompts to get you began, reminiscent of “What have I been doing right now?” or “What sort of emails are essential to me?” In a few days of utilization, I observed that these prompts grew to become extra personalised as time went on.
Littlebird additionally has an in-built Granola-like notetaker that makes use of system audio and runs within the background to seize transcription from conferences and create notes and motion gadgets primarily based on that. If you open up a gathering within the detailed view, there’s an choice known as “Prep for assembly” that takes the context of previous conferences, emails, and firm historical past under consideration to offer you extra particulars concerning the assembly. The function additionally fetches info from sources like Reddit to tell you what customers are excited about a specific product or an organization.
One other device known as Routines affords detailed prompts for Littlebird to run at a repeated interval, reminiscent of every day, weekly, or month-to-month. The corporate lists some ready-to-use routines like every day briefing, weekly exercise abstract, and yesterday’s work abstract. Customers can create their very own routines as properly with customized directions.
Littlebird was based by Alap Shah, Naman Shah, and Alexander Inexperienced in 2024. Brothers Alap and Naman based Sentieo, a platform for institutional traders, which was bought to market intelligence agency AlphaSense. They beforehand additionally co-founded a wholesome meals firm known as Thistle. Alap was additionally a co-author of the viral Citrini paper on how AI brokers may destroy the financial system, which resulted in numerous tech shares dipping. Inexperienced has constructed numerous firms in {hardware}, software program, and AI.
“We acquired began when Alap posed an attention-grabbing downside that AI goes to be about your [users’] information. Fashions don’t know something about you, and that limits their utility. We had been excited about numerous UI and OS paradigms that had been more likely to be ripe for disruption with AI and that kicked off Littlebird as a mission,” Inexperienced advised TechCrunch over a name.
Inexperienced famous that whereas Rewind was near what Littlebird is making an attempt to do, it relied on screenshots and didn’t have an important search expertise. He stated that the startup is simply getting began and there are a lot of extra issues to unravel, together with making giant language fashions (LLMs) perceive totally different sorts of context about customers.
With Littlebird, customers can take away their information at any time, and their information is saved within the cloud with encryption. Inexperienced stated that the rationale behind storing the info within the cloud was to run highly effective fashions for various AI workflows, which isn’t attainable regionally.
“We don’t retailer any visible info. We solely retailer textual content, which makes the info so much lighter-weight. I believe that was most likely one more reason that Recall and Rewind struggled, which is that taking a screenshot is much more information hungry. I additionally suppose it’s extra invasive,” he stated.
Littlebird is free to obtain and use, however to get extra utilization limits and entry to options like picture era, customers will pay for plans ranging from $20 per 30 days.
The startup has raised $11 million in funding led by Lotus Studio, with participation from Lenny Rachitsky, Scott Belsky, Gokul Rajaram, Justin Rosenstein, Shawn Wang, and Russ Heddleston.
A number of of those traders are common customers of the product. Rajaram, who has labored at Google and Fb on advert merchandise, stated that the product removes the friction of remembering, retrieving, and re-explaining your personal work. DocSend co-founder and CEO Heddleston stated that he rewrote the corporate’s advertising website utilizing the device, utilizing context from conferences, electronic mail, Notion, and extra.
Rachitsky, who runs his personal publication and podcast, stated that AI is nearly as good because the context it has, and it misses a lot about your day. He stated he asks the device about bettering his productiveness workflows and being happier. He stated that for long-term success, the product might want to discover a killer use case.
“I believe it’s all about discovering that killer must-have use case. That’s all that issues to this product’s success proper now. I do know lots of people have already got discovered that for themselves, and the group is leaning into these experiences as they see these use circumstances emerge,” he famous.
“I’ve had plenty of AI product builders on the podcast, and probably the most constant theme is that you just don’t really understand how folks will use your product till you set it out. The technique is to place out early stuff, see how folks use it, and double down on these use circumstances versus ready for one thing completely discovered.”
