Stop Optimizing, Start Doing: Why Clarity Beats Perfection Every Time
· Nia
There's a particular kind of failure that doesn't look like failure at all. It looks like research. It looks like preparation. It looks like being thorough.
I'm talking about the slow death of doing nothing while appearing to do everything.
Developer Kevin Lynagh captured this beautifully in a piece that went viral this week, describing two modes his projects fall into. Mode one: he just does it. Ships it. Done in a weekend. Mode two: he goes down a research rabbit hole, discovers scope he never imagined, spends hundreds of hours on background reading, and never actually builds the thing.
The difference between the two? It's not skill, discipline, or motivation. It's clarity of success criteria.
The Shelf vs. The PhD
Lynagh's example is almost comically perfect. He and a friend wanted to build a kitchen shelf. They brainstormed over coffee, used leftover materials, rounded corners by eye with a palm sander, and finished in a weekend. Absolute banger of a project, as he put it.
The success criteria was clear: jam on woodworking with a friend and make a shelf for this exact kitchen. That clarity made every decision easy. No agonizing over wood species. No researching optimal shelf bracket engineering. Just build the thing.
Contrast that with his other project — finding a better code diffing tool. He spent four hours falling into the rabbit hole of "semantic tree diffing is a PhD-level complex problem," browsing MCP servers he didn't want, and cycling through dark periods of scope anxiety before remembering: I just want a nicer workflow for myself in Emacs.
Four hours wasted because the success criteria was fuzzy.
This Isn't Just About Side Projects
I see this pattern everywhere, and it's not limited to weekend woodworking.
Ron Schneidermann, who scaled Liftopia to $60 million in revenue and went on to become CEO of AllTrails, told Fortune this week about living on canned soup for two years and taking just two days off when his daughter was born. His success criteria for years was simple and brutal: grow the company at any cost.
It worked — financially. But he calls it a mistake now. "You never get that time back."
The problem wasn't that he worked hard. The problem was that his success criteria was incomplete. He was optimizing for one variable (company growth) without ever stopping to define what "success" actually meant for his life.
By the time he became CEO of his current company Acely, Schneidermann had flipped the script. Monthly hackathons with no KPIs. No deliverables. Just exploration and play. Not because he became soft — because his success criteria became sharper: build something meaningful without destroying yourself doing it.
The Optimization Trap
Here's what I think is really going on. Smart, capable people are especially susceptible to what I'll call the optimization trap: the belief that with enough research, you can find the theoretically optimal solution before committing.
This feels responsible. It feels smart. But it's actually a form of procrastination wearing a lab coat.
The optimization trap has three stages:
Stage 1: Legitimate curiosity. You look into prior art. This is healthy and takes about 20 minutes.
Stage 2: Scope expansion. You discover the problem space is bigger than you thought. Other people have built solutions. They're imperfect. You start wondering if you should build on top of them, compete with them, or rethink your approach entirely. This is where the trouble starts.
Stage 3: Paralysis. You now know too much. Every option has tradeoffs. The simple thing feels naive. The complex thing feels overwhelming. You do nothing — or worse, you keep researching, which feels like doing something.
Lynagh nailed the emotional undercurrent: "I have a nagging sense of unease that my inner critic (fear of failure?) is silencing my generative tendencies."
That's it. That's the whole thing. The optimization trap isn't about being thorough. It's about being afraid — afraid that the thing you build won't be good enough, so you never build it at all.
What Clarity Actually Looks Like
Clarity of success criteria isn't about lowering your standards. It's about being honest with yourself about what you're actually trying to accomplish.
Ask yourself these questions before starting anything:
1. What's the smallest version of this that would make me happy?
Not the version that would impress others. Not the version that covers every edge case. The version that solves your specific problem on your specific Tuesday.
2. Who am I building this for?
If the answer is "me," then stop worrying about what the internet thinks. If the answer is "a specific user with a specific problem," then go talk to that user instead of reading more blog posts.
3. What does done look like?
This is the killer question. If you can't describe done in one sentence, your success criteria is too fuzzy. "Build a kitchen shelf" is clear. "Explore the space of structural diffing" is not.
4. What am I afraid of?
Sometimes the honest answer is: "I'm afraid this won't be as good as the thing that already exists." Great. Now you know the real blocker, and it's not a knowledge gap — it's an ego gap.
The CEO Lesson
Schneidermann's career arc is a masterclass in evolving success criteria. In his 20s, he got fired from Abercrombie & Fitch three times because he hated it. He quit a lucrative Accenture consulting gig because he "hated it." He told himself: I am never going to take a job for money again. Life is too short.
That's clarity. Brutal, uncomfortable clarity.
And it led him to startups through a friend of a friend — because when you know what you actually want, opportunities appear in unexpected places. Not through optimization, but through honest self-assessment.
Meta's CTO Andrew Bosworth said this week that he only gets stressed about five times a year, calling stress "a useful signal." That's not Zen Buddhism — it's clarity. When you know exactly what matters and what doesn't, most things simply don't warrant stress.
The Uncomfortable Truth
The uncomfortable truth is that most people don't stall because they lack information. They stall because they lack conviction.
Conviction doesn't come from research. It comes from knowing yourself well enough to say: This is what I'm trying to do. This is what success looks like. Everything else is noise.
Lynagh's shelf wasn't perfect. Schneidermann's first company cost him years with his kids. Bosworth probably misses things by not stressing more.
But all three of them built something real. And they did it by getting clear on what mattered — not by optimizing endlessly for what might.
The next time you catch yourself "researching" instead of building, stop and write one sentence: What does done look like?
If you can't write that sentence, that's your actual problem. Not the research. Not the prior art. Not the scope.
Just the sentence.
Write it. Then go build the thing.