“Validation or Vibes?” — The Founder Trap That Kills Startups Early
Last week, a founder told me:
“We’ve got strong validation—Product Hunt blew up, our waitlist is growing, and users love the product.”
Then I asked one question:
“How many are paying?”
Silence.
That gap—that difference between feels good and is real—is where most early-stage startups get stuck. This episode breaks down how to separate actual validation from what is essentially just… vibes.
The Core Idea: Validation ≠ Activity
Founders are constantly running “experiments.”
But most of them aren’t actually testing anything meaningful.
Validation (plain English):
Evidence that reduces risk in your business model.
Vibes:
Activity that feels like progress but doesn’t prove anything.
The problem?
Both often look the same on the surface.
The Framework: What Are You Actually Testing?
Before any experiment, ask:
What assumption am I testing?
What evidence would prove it?
What result would invalidate it?
If you can’t answer those three questions…
you’re probably running on vibes.
Example 1: “We Got 600 Upvotes on Product Hunt”
What founders think
High interest
strong demand
momentum
What’s actually happening
You got traffic
from people who love trying new tools
not necessarily your customers
The gap
No conversion data
No repeatability
No signal of willingness to pay
Example
A SaaS tool gets:
3,000 visitors
600 upvotes
0 paid users
That’s not traction.
That’s attention.
My suggestion is:
Measure conversions (signups, usage, payment)
Identify if the traffic matches your ICP (ideal customer profile)
Treat Product Hunt as a one-time spike—not a growth channel
Score: 3/10 (validation theater)
Example 2: “We Have 5,000 People on Our Waitlist”
What founders think
“Demand is obvious”
“We’re ready to build”
What’s actually happening
You captured emails
not commitment
The key mistake
Confusing interest with demand
Example:
People sign up for “AI writing tool”
but won’t pay when it launches
What real validation looks like
Pre-orders
deposits
paid beta signups
Better experiments
Post-signup survey
What problem are you solving today?
How urgent is it?
Fake feature test (smoke test)
Email: “Feature is live—try it now”
Measure clicks
Paid beta
“50 spots at $20/month”
Track actual commitment
Deposit test
$10–$50 to reserve access
My suggestion is:
Don’t grow the list—qualify the list
Score: 4–5/10 (potential, but incomplete)
Example 3: “Users Loved It in Our Pilot”
What founders think
“We nailed product-market fit”
What’s actually happening
You gave away something for free
people said nice things
nobody paid
Hard truth:
If they won’t pay after using it, that’s negative validation.
Example:
8 teams test your product
all say “this is great”
0 convert
That’s not success.
That’s a failed sales experiment.
Why This Happens
Founders design pilots like this:
Free access
no pricing discussion
no conversion expectation
So the outcome is predictable:
users enjoy it
no pressure to commit
no real signal
What to Do Instead
Before the pilot:
Define success criteria
Set pricing expectations
align on next step (contract if successful)
During the pilot:
measure actual usage and outcomes
After the pilot:
attempt conversion immediately
Example
Instead of:
“Try it and let us know what you think”
Say:
“If we reduce approval time by 30%, we’ll move to a $X/month contract.”
That changes everything.
Score: 2/10 (mostly vibes)
The Bigger Pattern
Across all three examples, the same mistake shows up:
Founders highlight the best-looking metric—not the most meaningful one.
Upvotes instead of revenue
waitlist size instead of intent
positive feedback instead of conversion
It’s not lying.
It’s selective interpretation.
Personal Opinion
Most early-stage founders aren’t short on effort.
They’re short on clarity about what counts as proof.
And that leads to:
overconfidence
premature scaling
bad fundraising narratives
The danger isn’t failure.
The danger is believing you’ve succeeded when you haven’t.
Recommendations
If you want real validation:
Test willingness to pay early
Even small amounts
Design experiments backward from the decision
What decision will this data support?
Avoid vanity metrics
Traffic ≠ traction
Build a validation roadmap
Test the riskiest assumption first
Be brutally honest about results
Good founders don’t protect ego
they protect learning
Final Takeaway
Validation is not about how good your numbers look.
It’s about how much risk they remove.
Actionable recommendation:
For your next experiment, write this down first:
“If this works, what will I do differently?”
If the answer is “nothing”…
you’re running on vibes.
About Josh David Miller
Over the past decade, Josh David Miller has empowered over 100 startup founders and innovators to launch and scale their ventures. As the driving force behind the Traction Lab Venture Accelerator,
Josh specializes in guiding early-stage startups through the intricate journey from ideation to product-market fit. His expertise lies in transforming innovative concepts into viable, market-ready solutions, ensuring entrepreneurs navigate the challenges of the startup ecosystem with confidence and strategic insight.
About Cameron R. Law
Cameron R. Law is a Sacramento native dedicated to building community, growing ecosystems, and empowering entrepreneurs.
As the Executive Director of the Carlsen Center for Innovation & Entrepreneurship at California State University, Sacramento, he leverages his passion for the region to foster innovation and support emerging ventures. Through his leadership, Cameron plays a pivotal role in shaping Sacramento's entrepreneurial landscape, ensuring that innovators and builders have the resources and support they need to succeed.
