For anyone with an idea and the drive to make it happen. Written by someone who’s been in the trenches. Think of this as your no-nonsense, pragmatic guide to making the right decisions before you burn time, energy, and money.
I. Conviction Before Code: Before writing a single line of code, you need to build conviction. But conviction isn’t built on blind faith; it’s built on real-world evidence.
II. Validate Before You Build: Start small and experiment. No need for an MVP — hack a simple experiment, get feedback and refine. Focus on simple experiments with high leverage, just like Dropbox, Netflix, and Airbnb did.
III. Make High-Velocity Decisions: Create systems to counteract your cognitive biases — because we all have them. The biggest challenge isn’t capital. It’s knowing what to build and unlocking the talent to do it right.
Ever played Dungeons & Dragons? It’s about decision-making on the fly: improvise, adapt, and choose wisely. The real challenge? Being the Dungeon Master who engineers the game.
A friend shared this from their session: DM: “What’s the one superpower you wish you had?” Player: “Solid decision-making skills.”
The answer was clever. It wasn’t about control but gaining the most powerful leverage through adaptability.
Entrepreneurship mirrors this. Forget wishing for a supercharged GPU. Wish for something better — mastery in decision-making. While we can’t eliminate all uncertainty, we can turn the right unknowns into knowns that move the needle. That’s the tricky, exciting part of the game.
Most startup ideas are plain bad. And chances are, your first raw idea is too. But here’s the thing: The best founders assume their “good idea” is False by default — until proven True.
That’s where conviction comes in. Before building anything, you need to build conviction. But conviction isn’t based on blind faith; it’s built on evidence.
Don’t rush into hacking an MVP. Instead, hack an experiment to see if customers actually want what you’re offering — quickly, cheaply, and easily. Engineer your luck first, then your software. As Naval Ravikant says, “You only have to be right once.” And if you validate smartly, you’ll know when that moment comes.
Algorithm to Build By
Netflix’s success didn’t come from perfecting the tech upfront — it came from validating first.
Before raising a cent, Marc Randolph and Reed Hastings asked a simple question: Would people rent DVDs by mail? Instead of creating business plans or pitching investors, Randolph bought a CD, mailed it to himself, and waited.
They had identified the critical path to delivering value and tested the biggest risk — whether discs could survive the mail — at almost no cost and minimal effort. When it arrived intact, they had their green light.
Even today, Netflix operates the same way: deeply understand first, then build. No endless meetings, no big bets on unproven ideas. If something works, it’s because the market says so, not the founders. This fast, low-cost validation is how Netflix grew into a $200 billion company.
Algorithm to Build By
Netflix didn’t succeed because they had the right idea. They succeeded because they adapted, faster than anyone else.
Notice how they adapted their bets with technology, always surfing the zeitgeist. But above all, they put customers first — obsessed with results, not ideas — never placing the same bet twice.
Real decision-making skills aren’t learned in theory; they’re forged through experience — across disciplines, by doing, by living.
Marc Randolph’s first venture? Selling personalized cereal boxes in the ’80s.
Reed Hastings? Before tech, he spent years teaching math in Swaziland with the Peace Corps.
Netflix? It started as a late-fee killer for DVD rentals — streaming wasn’t even a thought. But who you talk to shapes your thinking. The right conversations led them to the web, recognizing the internet’s rise in the late ‘90s.
Even more important than who you talk to? Who you study. For Netflix, it was Jeff Bezos and Amazon’s momentum.
There’s nothing new under the sun — tools and guidelines are everywhere. Yet, few have built products that truly matter across different contexts. The real edge? It’s about reasoning through those cases, breaking them down, and making the insights work for your unique situation.
Algorithm to Build By
Marc Randolph had a rule: assume your idea is bad until proven otherwise.
The quickest way to prove it? Validate it. No MVP, no code, no investors. Just real feedback from real people. He called it the “24-hour experiment.”
Here’s an example: A college student pitched Randolph on a clothing rental app. Instead of rushing to build a platform, he gave her this advice: Tape a sign on her dorm door that says, “Want to borrow my clothes? Knock.” In 24 hours, she had her answer. That’s the kind of validation you need before you build.
Of course, this is overly simplified. Not every idea can be validated in 24 hours but the principle is what matters: Validate fast. Learn early. Adapt before committing resources.
Bottom line: Startup success isn’t about being right from the start; it’s about figuring it out quickly.
Algorithm to Build By
Visualize the user experience across all touchpoints in the simplest way. Clarify what’s essential, why it needs to exist in our world, and how to validate it. This provides clarity and helps teams ask the right questions.
Understand customer behavior through real interactions and observations.
The best way to validate an idea? Keep it simple. You don’t need code or a fully functioning product. Start with scrappy, manual validations that prove assumptions. If it fails, great. Move on. If it works, refine and keep validating.
1.1. Before Building a Marketplace:
2.2. How Airbnb Experimented Without Tech:
3.3. What It Proved: Demand was real before building the tech. People were willing to stay in a stranger’s home and pay for it, even without a formalized booking system.
2.1. Before Building Full Software:
2.2. How Dropbox Experimented Without Tech:
2.3. What It Proved: The waitlist exploded overnight — demand validated before writing a single line of code.
3.1. Before Scaling DVD Rentals:
3.2. How Netflix Experimented Without Tech:
3.3. What It Proved: DVD-by-mail was logistically viable — worth building a business around.
Most experiments fail here, saving founders months — even years — of wasted effort. The best first step? Build something unviable. Not an MVP, but something scrappy, fast, and cheap.
If the experiment doesn’t validate your beliefs? Great. Move on to the next idea.
If it does, refine and keep experimenting until it works.
That’s the real first step.
Don’t be fooled by the idea of a ‘perfect’ MVP. Especially in deep tech, where the product’s breakthrough is key, many founders think they need a flawless product before validating. That’s a mistake. The best products start with low-tech validation — do it early, and validate the idea before the tech.
If customers don’t care, no amount of tech will save you.
If they do, go all in to achieve product-market fit. Then, scale problems follow.
Even the most rigorous experiments aren’t immune to cognitive biases. Watch out for these three high-impact biases that quietly shape decision-making:
01. Confirmation Bias: Seeking validation over truth. You focus on positive feedback and dismiss red flags. E.g.: You launch a feature and only focus on praise, ignoring churn. Fix: Seek dissenting opinions and trust objective data.
02. Overconfidence Bias — Thinking you know more than you do. You skip proper validation and misallocate resources. E.g.: You skip validation, assuming “users will love it.” They don’t. Fix: Trust data over gut feeling. Always have a Plan B.
03. Sunk Cost Fallacy: Sticking with bad bets just because you’ve already invested. E.g.: You’ve spent months coding, so you keep going — even when no one cares. Fix: Cut losses. Focus on future value, not past effort.
These biases explain why most founders struggle and why Netflix’s relentless experimentation mindset works. Funny how we cling to failing ideas, rationalizing instead of adapting. The question is: Which bias has tripped you up the most?
What’s the quickest, cheapest, and easiest way to validate this idea with real customers? A simple experiment with big insights.
Don’t waste time on a polished MVP. It could be something as simple as a survey, a landing page, or a manual process. Whatever it is, generate evidence through experiments to build conviction. Because the faster you fail, the faster you learn what works.
Don’t just go through the motions. Battle-test your ideas before launching them. History has never seen a commander win without simulating tactics first. You don’t earn unless you learn and move fast in the right direction. While there’s no perfect playbook, there are plenty of algorithms to adapt. And people to learn from. That’s where your edge is built.
Start with the right spark, and let the stars align.
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Still here? Either you’re loving this stuff or procrastinating something important. I respect both. If this sparked something, let’s compound the effect and pass it on. Or just say hello to trade notes on tech.
Behind the keyboard:
I’m in the trenches, figuring out what it really takes to build and scale products people genuinely want. That journey led me to the intersection of product inception and venture capital — where the best bets are placed before a single line of code is written.
I’m sharing insights from hands-on experience across Big Tech, Fortune 500s, a unicorn, and early-stage startups. Expect mental models, product insights, and actionable how-tos for immediate impact. In-depth.
How Netflix Iterated Its Way to $200B was originally published in Startup Stash on Medium, where people are continuing the conversation by highlighting and responding to this story.
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