Updated in real-time

Founder Signal Engine

What founders want to build, where they hesitate, and what predicts action — from 300K+ interactions.

Industry Intent

Founder Intention Index

Which industries founders WANT to enter

Platforms dominate founder interest at 29.9% — 1.8× the next category.

Platforms29.9%
AI/Tech16.4%
E-commerce15.8%
Consulting/Services13.5%
HealthTech12.6%
SaaS11.9%
Customer Clarity

Customer Clarity Score

How specific founders describe their target

Only 36.7% of founders have a clear customer definition.

Semi-clear40%
Vague23.4%
Clear36.7%
Semi-clearVagueClear
Score Bands

Score Distribution

Last 180 days — distinct validations by score

Most ideas score 71-80 (46.2%) — execution matters more than perfection.

0-50
51-70
71-80
81-90
91-100
Behavior Types

Founder Behavior Distribution

Classified by sessions, idea changes, and execution

47.7% are Explorers — only 33.6% take action as Sprinters or Builders.

Explorer
Sprinter
Refiner
Analyzer
Builder
Conversion

Conversion by Category

% who take action within each category

Consulting/Services has the highest execution rate at 22%.

Consulting/Services22%
AI/Tech21%
Manufacturing20.2%
Brick & Mortar20.1%
E-commerce19.8%
EdTech18.4%
HealthTech15.8%
Platforms13.6%
Red Flags

"Should You Be Building This?" Signals

Early misalignment indicators

0% of ideas show distribution unclear — the #1 misalignment signal.

Distribution unclear0
Customer unclear0
Weak monetization0
Market too broad0
Solution-first / AI-for-X0
Quality Signals

Strong vs. Weak Idea Inputs

What makes an idea compelling (or not)

Strong ideas have constraints; weak ideas have technology

Strong Inputs

  • Specific customer
  • Clear daily pain
  • Lived experience
  • Narrow market
  • Revenue problem

Weak Inputs

  • "Everyone"
  • Vague aspiration
  • No domain edge
  • Abstract market
  • "AI for X"

Strong ideas start with constraints and proximity. Weak ideas start with technology and imagination.

Post-Mortem

Why High-Quality Ideas Don't Move Forward

Distribution of blocking factors (cohort: high score, no execution)

97.9% fail due to weak founder–problem proximity — not idea quality.

Weak founder–problem proximity97.9%
Customer too broad or abstract97.4%
No iteration after advice71.3%
Unclear first step after validation64.2%
Scope too large or unclear MVP20.2%
Low confidence signals in language6.6%
Aspirational problem framing2.4%