Seeing Around Corners
"Only the paranoid survive." — Andy Grove
Can you learn to see around corners? To see the wave coming before everyone else does? To keep one foot leaning into the future, while the other stays grounded in the present?
As an entrepreneur, this is one of the most under-appreciated skills to develop.
What I mean by Seeing Around Corners is about picking up on weak signals, spotting messy patterns, and acting with clarity and purpose. Seeing around corners is not the same as predicting the future. Let’s be clear: no one can reliably predict the future.
The best we can do is see the present clearly and act early.
In 1985, Andy Grove asked Gordon Moore a question that would save Intel.
“If we got kicked out and the board brought in a new CEO, what would he do?”
Moore didn’t hesitate: “He’d get us out of memories.”
Grove: “Why shouldn’t you and I walk out the door, come back, and do it ourselves?”
They exited the memory chip business — Intel’s founding product, their identity, still profitable — and bet everything on microprocessors.
In retrospect, it looks inevitable. At the time, it was terrifying.
We talk about founders who “see around corners” as if they have a supernatural gift. They don’t. What they have is a cognitive discipline that scientific research can explain — and that you can practice.
1. Opportunity Prototypes & Recalibration
Robert Baron’s research (Academy of Management Perspectives, 2006) showed that great founders don’t predict the future. They detect meaningful patterns across seemingly unrelated events and connect them faster than anyone else.
Baron studied novice vs. experienced entrepreneurs and found something specific: experienced founders carry richer “opportunity prototypes” — mental templates for what a good opportunity looks like. They don’t just see more. They see differently, because their prototypes have been recalibrated by failure across multiple domains.
Your prototype is shaped by where you’ve succeeded. If you’ve only built in SaaS, your opportunity prototype is calibrated for SaaS. You’ll pattern-match everything against SaaS templates — and miss opportunities that don’t fit the mold.
The founders who see around corners aren’t the ones with the most dots. They’re the ones whose dots come from domains where their existing prototype failed, forcing a recalibration.
Luis von Ahn spent a decade in academic computer science, studying how humans solve problems machines can’t. He built CAPTCHA, then reCAPTCHA — turning those human solutions into labor that digitized books. Then he noticed a pattern: millions of people were voluntarily solving problems online. He associated that behavioral signal with the broken economics of language learning and the engagement loops of mobile games. Duolingo. An academic who’d never built a consumer product saw an opportunity that every edtech founder missed, precisely because his prototype was shaped outside the industry.
You don’t improve pattern recognition by going deeper in your domain. You improve it by deliberately exposing yourself to domains where your current opportunity prototype breaks. That’s where recalibration happens.
2. Alertness Is a Muscle, Not a Gene
Israel Kirzner (1973) defined entrepreneurial alertness as a cognitive readiness to notice what others overlook. He treated it theoretically — but didn’t offer a practical model for developing it.
Tang, Kacmar, and Busenitz (Journal of Business Venturing, 2012) did. They decomposed alertness into three trainable components:
Scanning — actively searching for new information.
Association — connecting new information with what you already know.
Evaluation — judging whether the connection represents a real opportunity.
Most founders only scan. They read industry news, follow trends, attend conferences. Necessary but insufficient.
The real leverage is in association. Deliberately asking: “What does this remind me of in a completely different domain?”
Grove ran all three steps as an organizational system, not just a personal habit. He didn’t just scan Japanese manufacturing data — he associated it with a pattern he’d seen in other industries where a cheaper, good-enough competitor displaced the incumbent. He evaluated it as a “10X force” — not normal competition, but a fundamental shift. Then he embedded that scanning-association-evaluation loop into Intel’s culture. “Only the paranoid survive” was an organizational alertness system.
You need less information and more association across domains.
3. Signal Fatigue
How many signals should you act on?
Gali, Hughes, Morgan, and Wang (Entrepreneurship Theory and Practice, 2024) studied 804 large US tech firms over 18 years. Their finding: every one-point increase in Entrepreneurial Orientation — risk-taking, innovativeness, proactiveness — increases the risk of firm failure by 24.9%.
The data is about firms, not individual founders. But the mechanism — irreversible resource depletion from too many bets — operates at every scale. Each initiative that doesn’t work burns resources that can’t be recovered. The entropy accumulates. Abrupt strategic changes compound the risk further, especially for firms already underperforming.
Founders who see around every corner and act on every signal exhaust their resources chasing optionality. The discipline isn’t in seeing more. It’s in choosing less.
Jensen Huang understood this before anyone. In the mid-2000s, NVIDIA was printing money from gaming GPUs. Huang killed profitable consumer product lines to bet on CUDA — a platform for general-purpose GPU computing that almost no one was asking for. The gaming industry thought he was insane. He saw AI and scientific computing coming a decade early. But the move that mattered wasn’t the bet on CUDA. It was the disciplined killing of revenue lines that would have diluted the bet.
Before acting on any signal, two questions:
What does this bet cost if it fails? (Not just money — attention, team energy, opportunity cost.)
Can I absorb the loss and still fund the next bet?
Don’t act on all the signals. Let them sit. Keep narrow and focused. Be intentional about the signals you choose to ignore — and hold yourself to it.
4. Uncertainty as Possibility (Not Anxiety)
Psychological entropy — the uncertainty that creates anxiety that creates paralysis — is the bottleneck between knowing and acting.
Noubar Afeyan built Moderna on a thesis that mRNA could be a platform, not just a therapy. For a decade, every pharma company that looked at mRNA saw a drug delivery mechanism — one application at a time. Afeyan, whose prototype was shaped by founding 60+ companies through Flagship Pioneering, saw a programmable infrastructure. The scientific community was skeptical. Investors were lukewarm. Afeyan held the uncertainty for ten years before COVID validated the platform thesis. That’s not conscientiousness. That’s emotional regulation at a scale most founders never face.
The pathological version is the founder who appears conscientious but cannot adapt. Rigid plans, polished decks, meticulous control — all masking an inability to hold uncertainty. The plan becomes the prison. Conviction without calibration.
Seeing Around Corners
Step Mechanism Practice SEE Pattern recognition Expose yourself to domains where your prototype fails. Recalibrate, don’t just accumulate. NOTICE Entrepreneurial alertness Force the association step: “Where have I seen this before, in a different context?” SELECT Signal discipline Resource audit before every bet. Kill bad bets fast. Subtraction > addition. ACT Emotional regulation Check your state before deciding. Clarity, not anxiety. The plan serves you; you don’t serve the plan.
To boil it down: Grove saw that his main business was toast and that Intel needed to hard pivot — and he was right to be paranoid. Grove scanned Japanese competition (SEE), associated it with historical displacement patterns (NOTICE), chose the single bet — microprocessors — and killed memory (SELECT), then held the terror of abandoning Intel’s founding product long enough to execute (ACT).
He didn’t predict the future. He was seeing around the corner.
"The real voyage of discovery consists not in seeking new landscapes, but in having new eyes." — Marcel Proust
Happy Sunday ✌🏻🌕
Sources: Baron (2006) · Kirzner (1973) · Tang, Kacmar & Busenitz (2012) · Gali, Hughes, Morgan & Wang (2024)
