7 Lessons SaaS Founders Can Learn from Brain-Computer Interfaces
What building technology for the most complex organ in the universe teaches us about product development
The brain is notoriously uncooperative. It doesn’t follow instructions, refuses to be standardized, and changes its mind—literally—on a daily basis. Yet somehow, about 25 clinical trials of BCI implants are currently underway, with companies racing to commercialize devices that translate thought into action. If you can build a product that successfully interfaces with 3 billion neurons firing in chaotic patterns 🧠, you can probably crack the comparatively simple challenge of building software that people actually want to use.
I’ve spent the last month deep in the weeds of neurotechnology research, and here’s what struck me: BCI companies are solving product development problems that would make most SaaS founders weep into their Notion boards. They’re dealing with users who can’t give traditional feedback, hardware that costs millions to iterate, and regulatory hurdles that make GDPR look like a suggestion box. And yet, they’re making remarkable progress.
The parallels are uncanny. Both industries obsess over user experience, wrestle with finding product-market fit, and live or die by their ability to iterate based on feedback. The difference? BCI founders are working with stakes so high that failure doesn’t just mean churn—it means someone’s quality of life. That pressure has forged some brutally effective product development wisdom.
Lesson 1: Your Users Can’t Always Tell You What They Need (And That’s Okay) 🎯
Here’s a counterintuitive truth from the BCI world: BCIs operate not by reading predefined commands, but by statistically correlating neural patterns with user-generated feedback, a process that requires continuous recalibration and adaptation to individual variability. Translation? The brain doesn’t speak “feature request.” It communicates in electrical patterns that need to be decoded, interpreted, and translated—often with the user having no conscious awareness of what signal they’re actually producing.
One patient used a BCI independently at home for more than two years without needing to recalibrate it each day, controlling his personal computer and working full-time. Over 4,800 hours of use, he communicated more than 237,000 sentences at around 56 words per minute. But here’s the kicker: he didn’t start by saying “I need a cursor control feature with 56 WPM throughput.” The product evolved through observation, measurement, and iteration.
For SaaS founders, the lesson is liberating: Stop waiting for users to hand you a perfect product roadmap. They won’t. They can’t. What users tell you they want and what they actually need are often wildly different things. Your job isn’t to be an order-taker—it’s to be a translator 📡.
Practical applications for your SaaS:
Watch what users do, not just what they say. Set up session recordings and heatmaps
Track feature usage patterns obsessively—adoption rates tell stories that surveys can’t
Run usability tests where you observe silently instead of asking leading questions
Build instrumentation into your product from day one so you can measure actual behavior
Create feedback loops that capture usage data automatically, not just self-reported preferences
The most successful BCI companies have learned that understanding user needs requires being part detective, part scientist, and part psychic 🔮. Your advantage as a SaaS founder? You can at least ask your users follow-up questions.
Lesson 2: Personalization Isn’t a Feature—It’s the Foundation 🏗️
Every brain is different. Like, profoundly different.
The scientific community continues to grapple with the fundamental limits of decoding complex brain signal intentions, as well as the need for highly personalized systems that account for individual variability in neural signals and psychological states. You can’t build one BCI and expect it to work for everyone—the neural signature for “move cursor left” varies dramatically between individuals and even within the same individual across different times of day.
The practical usability of a BCI depends on various factors, primarily the user-centric design of ARTs. The user-centric design is an iterative approach that includes users’ perspectives while developing BCI-based ARTs to fulfil individualized user needs. This isn’t about offering dark mode and calling it “personalized.”
Most SaaS products treat personalization like a garnish—a nice-to-have feature you sprinkle on top. BCI companies learned the hard way that personalization has to be baked into the architecture from the ground up. It’s not “Can we personalize this?” but rather “How do we make this work for this specific person?”
Think about your own product. Are you building for an abstract “ideal user persona,” or are you creating systems that adapt to how different people actually work? 💼
How to build real personalization into your SaaS:
Let users customize workflows, not just interface colors—actual behavior paths matter
Build progressive onboarding that adapts based on user skill level and role
Create preference systems that remember context, not just settings
Use behavioral data to automatically surface relevant features for each user segment
Design your data architecture to support user-specific configurations from day one
A blunt truth: If every user sees basically the same product experience, you’re leaving money on the table. The companies crushing it right now—Notion, Linear, Superhuman—all understand that power users and novices need fundamentally different experiences.
Lesson 3: Your MVP Probably Isn’t Minimal Enough ⚡
Morgan Stanley estimates an early total addressable market (TAM) of $80bn across three million US adults, potentially reaching $320bn with further advancements for BCIs. That’s a massive market. But companies aren’t trying to serve all of it at once.
Take Synchron’s approach:
In a four-patient trial, the Stentrode allowed participants with paralysis to control a computer, including texting, using thought alone. After 12 months, none of the patients had serious adverse events or blood vessel blockages. In 2025, the move is toward a pivotal trial that could make Stentrode the first commercially scalable implanted BCI. Four patients. Not four hundred. Not four thousand. They validated their core value proposition with four people before scaling.
Your SaaS “MVP” probably has way too many features 📊. You’re probably trying to solve too many problems for too many people. BCI companies don’t have that luxury—every additional feature means more surgical risk, more regulatory scrutiny, and more ways things can catastrophically fail.
Signs your MVP isn’t minimal enough:
Your roadmap for “launch” stretches beyond three months
You’re building features for hypothetical future users instead of actual current ones
You can’t explain your core value proposition in one sentence
Your beta testers are confused about what problem you’re actually solving
You’re debating “nice-to-have” features before you’ve validated “must-have” ones
The BCI approach: Prove one thing works incredibly well, then expand.
Most companies have the same goal: capturing enough information from the brain to decipher the user’s intention—aiding communication for people who can’t easily move or speak. They’re not trying to also handle entertainment, productivity enhancement, and meditation tracking in version 1.0.
What’s the one core problem your SaaS solves? If you can’t answer immediately, your MVP needs surgery 🔪.
Lesson 4: The Best Product Doesn’t Always Win—Distribution Does 🚀
Neuralink has all the headlines, the biggest valuation, and the most Twitter buzz. But here’s what the data actually shows:
As of August 2024, competitors Blackrock (40 implants), BrainGate (15 implants), and Synchron (10 implants) had all successfully implanted more devices into patients compared with Neuralink’s total of two people
The flashiest product isn’t winning. The companies with better distribution channels—clinical partnerships, FDA relationships, surgical scalability—are actually getting their devices into users’ brains (and yes, I realize how that sounds).
Synchron made a brilliant distribution bet:
Its key advantage over Neuralink is that its BCIs do not require brain surgery. Where Neuralink implants its interfaces directly into the cerebral cortex, Synchron implants its devices through the patient’s bloodstream, circumventing the cost and risks of physically penetrating the human skull. By making installation easier, they made distribution easier. Fewer neurosurgeons needed. Lower risk perception. Faster path to approval.
For SaaS founders, the parallel is brutal: A good product with great distribution beats a great product with good distribution every single time. You can build the most elegant, feature-rich, technically sophisticated solution, and still lose to a scrappier competitor who figured out how to actually reach customers.
Distribution channels that actually matter:
SEO that targets bottom-of-funnel intent, not just traffic volume
Strategic partnerships with complementary tools your users already trust
A product-led growth model where the product itself drives acquisition
Community building in spaces where your ICP already congregates
Word-of-mouth engines built directly into your product architecture
Think about how users discover and adopt your product. Is it friction-free? Or does it require the enterprise equivalent of brain surgery to get started? 🧪
Lesson 5: Obsess Over the Experience, Not Just the Output 💡
Jan Scheuermann, one of the most well-known early BCI research participants, summed it up: “Even though I had been a quadriplegic for 12 years and my body had forgotten how to move my arm, my brain hadn’t forgotten. My brain remembered and did what brains are supposed to do.” Her BCI experience speaks to the resilience of neural systems and the idea that motor intention can remain intact
But here’s what makes that quote powerful: she’s not talking about technical specs. She’s talking about how it felt. The experience mattered as much as the outcome.
Users described the surprisingly natural experience of using neuroprosthetics to control robotic arms or flight simulators directly. “Natural.” That’s the goal. Not “powerful” or “feature-rich” or “enterprise-grade.” Natural.
Most SaaS products feel like... well, software. They feel like work. They remind you constantly that you’re interfacing with a tool. The best products disappear—they become an extension of how you think and work, not an obstacle between you and your goals 🎨.
User experience principles from BCI development:
Reduce cognitive load—every decision point is friction
Make the interface feel like a natural extension of thought, not a separate system
Design feedback loops that feel immediate and intuitive
Minimize the gap between intention and action (fewer clicks, less latency)
Test for “flow state”—can users get lost in using your product?
When was the last time you actually enjoyed using your own product? Not just appreciated its utility, but genuinely found the experience pleasurable? If the answer is “never,” that’s your sign.
Lesson 6: Regulatory Constraints Are Features, Not Bugs 📋
Here’s something that sounds insane:
Many companies and institutes have found navigating the stringent FDA approval process for a commercial medical BCI device challenging. These medical devices are typically surgically implanted deep within or onto the surface of the brain. And yet, companies are still racing to build these products.
Why? Because constraints force clarity. When you can’t iterate quickly, you have to think deeply. When every change requires regulatory approval, you can’t ship half-baked features and “fix them in post.”
The FDA released draft guidance in February 2019 on “Implanted Brain-Computer Interface (BCI) Devices for Patients with Paralysis or Amputation”, creating a clear path forward—but an expensive, time-consuming one.
SaaS founders often think they want zero constraints. “Move fast and break things,” right? But unconstrained development leads to bloated products, technical debt, and feature graveyards. Sometimes constraints—self-imposed or external—are exactly what you need 🔒.
Productive constraints to consider:
Ship weekly, not daily—force prioritization and reduce context-switching
Limit feature releases to one per month—make each one count
Set a “complexity budget” that prevents feature creep
Implement required security reviews before any customer data feature ships
Create internal “regulatory” checkpoints that force design documentation
The companies that think “What would we build if we could only ship four features this year?” often build better products than those shipping forty features without strategic intent.
Lesson 7: Long-Term Thinking Isn’t Optional—It’s Existential 🌍
The Argus II retinal prosthesis initially restored partial vision to patients blinded by retinitis pigmentosa, but despite clinical success and regulatory approvals, it struggled commercially due to an insufficient patient population, prohibitive manufacturing costs, and high procedural and postoperative rehabilitation costs. The company eventually failed.
Meanwhile, Blackrock Neurotech boasts a rich history in BCI, having implanted devices in over 40 patients. Notably, it has the longest-serving BCI patient, who has had the device for over nine years, demonstrating its durability. They’re still around. Why?
Because they planned for decade-long timelines from day one. They built systems that wouldn’t degrade. They created relationships with institutions that would provide ongoing support. They designed their business model around sustainability, not just initial sales.
Experts told us that users may lose access to the benefits of their implanted BCIs for various reasons. For example, some clinical trial participants have had a BCI removed because there were no funds or medical support provided after the trial. Experts said there is a need to prioritize support and maintenance for participants. Abandoning users after the sale is unconscionable in BCIs—and it should be in SaaS too.
Think about your current burn rate and runway. Now think about what happens to your customers if you run out of money next year. Have you built your product in a way that creates dependencies that can’t be unwound? Are you making promises you might not be able to keep? 💰
Long-term sustainability strategies:
Build in export functionality from day one—never hold data hostage
Design architecture that doesn’t require constant expensive intervention
Create predictable, sustainable revenue models that match your cost structure
Document everything as if you might need to hand it off tomorrow
Make decisions assuming you’ll still be supporting this code in five years
Neuralink’s long-term business model is its planned evolution from low-volume, high-cost medical applications toward higher-volume, lower-cost deployment. Elon Musk has stated that in sufficient volumes, the implant could eventually cost closer to $1,000-2,000, with a streamlined “600-second surgery.” This would represent a fundamental shift from traditional medtech economics toward consumer electronics-style scaling. That’s thinking in decades, not quarters.
Are you building a product, or are you building a business that can support the product for as long as customers need it?
The brain is the most sophisticated piece of hardware in the known universe 🌌, and we’re figuring out how to interface with it using silicon and software. If that’s not humbling and inspiring in equal measure, I don’t know what is.
The lessons from BCI development aren’t just applicable to SaaS—they’re essential. Whether you’re building software to manage tasks or hardware to decode thoughts, the core challenges remain the same: understand your users deeply, validate ruthlessly, distribute effectively, and build for the long haul.
The BCI companies that will succeed aren’t necessarily the ones with the most funding or the flashiest demos. They’re the ones building with humility, scientific rigor, and genuine empathy for the humans they serve. Sound familiar? That’s exactly what separates great SaaS companies from the 90% that fail.
So here’s my question for you: If your product development process was as rigorous, user-focused, and carefully validated as building a brain implant, what would you do differently starting tomorrow?