Why Your Waitlist Is Lying to You (And What to Measure Instead)

The most dangerous metric in startups is the waitlist

Few things feel better than watching a waitlist grow.

You launch a landing page. People start signing up. Your brain immediately fills in the blanks:

"If this many people signed up, they must want it."

That feeling has killed more startups than bad code ever will.

Because waitlists are almost always lying.

Not maliciously. Just structurally.

Why waitlists exist (and why founders misuse them)

Waitlists were originally designed for one thing:

Managing supply for products that already had demand.

They were not designed to validate new ideas.

But in early-stage startups, waitlists became a proxy for:

• market demand
• product-market fit
• even investor readiness

This is a category error.

An email signup is one of the lowest-friction actions a human can take:

• no money
• no time commitment
• no switching cost
• no social risk

Curiosity ≠ intent

Interest ≠ urgency

Email ≠ demand

The psychology of false positives

Here's what's actually happening when someone joins your waitlist:

• "This looks vaguely interesting."
• "I don't want to miss out if it becomes big."
• "Maybe I'll check this out later."
• "This took 3 seconds — why not?"

None of those mean:

"I need this solved badly enough to change my behavior."

And yet founders routinely treat waitlists as proof.

That's the lie.

The three levels of validation signals

At Forge, we classify validation signals into three tiers.

Tier 1: Curiosity signals (weak)

These feel good but predict almost nothing.

Examples:
• Email signups
• Page views
• Likes, claps, upvotes
• "Sounds cool!" feedback

Use these only to compare messaging, not to validate demand.

Tier 2: Intent signals (medium)

These require effort or discomfort.

Examples:
• Booking a call
• Completing a long onboarding form
• Answering follow-up questions
• Installing something
• Uploading real data

Better — but still not enough on their own.

Tier 3: Commitment signals (strong)

These are hard to fake.

Examples:
• Pre-paying
• Deposits
• Pilots
• Letters of intent
• Repeated use without reminders

If you don't have at least one Tier 3 signal, you don't have validation.

You have hope.

Why AI made this problem worse (and better)

AI made it trivial to:
• spin up landing pages with tools like Lovable
• generate persuasive copy
• create polished visuals
• run ads cheaply

This means founders can now manufacture beautiful false positives at scale.

A good AI-written landing page can convince people to sign up for almost anything.

But AI also gives us the tools to fix this — if we're disciplined.

The solution is not "don't use waitlists." The solution is use waitlists as a filter, not a finish line.

How to turn a lying waitlist into a truth machine

A waitlist becomes useful only when you stress it.

Here are four ways to do that.

1. Add friction on purpose

Make the signup slightly uncomfortable.

Examples:
• Ask a specific qualifying question
• Require a role or company size
• Ask what they're currently using instead

If signups drop 80%, that's information — not failure.

2. Follow up immediately

Send a manual or semi-manual follow-up within 24–48 hours.

Ask:
• "What problem are you hoping this solves?"
• "How are you solving this today?"
• "What happens if this doesn't get solved?"

Silence is a signal.

3. Ask for time

Invite them to:
• a 15-minute call
• a short walkthrough
• a pilot cohort

You'll quickly discover who actually cares.

4. Ask for money (early and gently)

You don't need a checkout flow.

You can simply say:

"We're planning to charge £X/month. Would that be reasonable if this worked as described?"

Evasion is data. Objections are gold. Enthusiasm is rare — and meaningful.

A simple rule of thumb

If you wouldn't feel comfortable showing your waitlist conversion data to a skeptical investor or advisor, it's probably not real validation.

Real validation withstands scrutiny.

Fake validation collapses under a single follow-up question.