Sitting down with the founders of Mindstash means entering a conversation that is as much about human psychology as it is about code. The trio already turned heads during AI020: while the rest of the room was busy saving links, taking screenshots, and typing quick notes, Cosimo Radler, Omer Sharon Gabay, and Bhargav Teja Nallapusaw observed a familiar phenomenon. It wasn’t a lack of interest, but a gaping divide between collecting information and actually using it. We save everything, but we never look at it again.
It is a problem that got the founders thinking. With Mindstash, they aren’t building just another storage tool, but a system that adapts to people, rather than adapting people to systems. “We are trying to build something that behaves more like human memory,” Cosimo explains. This is no empty marketing phrase: all three founders share a background in neuroscience and cognitive systems. Bhargav even holds a PhD in Computational Neuroscience. This scientific lens serves as the blueprint for their product.
We save more data today than ever before. Why do we end up doing so little with it?
Omer points out that the fault lies largely within our current digital tools, explaining that we are constantly saving things like articles, PDFs, and screenshots, only for the vast majority to disappear into a digital black hole where they are never seen again. He highlights a massive gap between the moment you find something interesting and the moment you actually need it. Bhargav agrees, adding that the core issue these days isn’t storage capacity, as the technology to preserve data has existed for decades. Instead, Bhargav explains that the real challenge is context, and the focus of Mindstash is ensuring that this information automatically resurfaces at the exact right moment, when it becomes relevant to your work or project again, creating a system that evolves alongside how you think.
Your background in neuroscience heavily guided the design. How do you translate the human brain into software?
Bhargav explains that in the human brain, memories are not neatly organized into folders or lists like in a traditional computer, but rather work through associations, context, and relevance, where a specific word can suddenly trigger a memory tucked away deep down. Cosimo notes that current software systems mistakenly force us to manually create folder structures and label tags, a tedious process users rarely keep up. Therefore, Mindstash allows structure to emerge organically, Cosimo says, connecting information based on mutual relationships and meaning rather than rigid categories, effectively behaving more like an external memory.
Does this mean an AI will decide what I get to see? After all, many platforms already harvest our attention via algorithms.
Omer is quick to make a crucial distinction, emphasizing that Mindstash is entirely user-driven and that what surfaces in your system comes purely from what you or your team consciously chose to save. This makes the platform a lot quieter and more meaningful, he adds, since there is no algorithm fighting for your attention and everything you see is the result of your own decisions. Cosimo views this approach as a necessary counterpoint to today’s passive consumption culture, where we consume a massive amount of digital content but process very little of it. He uses the analogy of an analog camera, recalling how having only 24 or 36 photos on a roll forced people to think carefully before pressing the button, noting that this intentionality has completely vanished and that Mindstash helps bring meaning back to what you truly want to remember.
Since this data is so personal, how do you handle privacy and the deployment of AI?
Bhargav notes that the platform was built with privacy-by-design from day one, meaning their AI models are strictly separated from user identity. The system analyzes the content of the information to build connections, he explains, but it simply does not know who the user is. Cosimo reinforces this stance on security, adding that what people store in their Mindstash is their intellectual property and often deeply personal, whether it’s a scientist’s research or a design team’s raw concepts, meaning you have to treat that data with the absolute highest level of care.
What is the ultimate dream? Where will Mindstash be in a few years?
Omer smiles as he shares their ultimate goal, explaining that just like people no longer ‘search the internet’ but ‘Google’ it, they want them to stop ‘saving’ information and start ‘stashing’ it instead. Yet, Cosimo concludes that the real reward lies in behavioral change rather than just tech adoption, emphasizing that while curiosity is the starting point, the ultimate goal is action. If they can shrink the gap between inspiration and execution, so that ideas don’t die in a list but lead to new projects and creations, Cosimo believes they will have fully accomplished their mission.