2,667 startup ideas β and my AI engine kept coming back to the same niche 23 times
Since EvoRadar went live, the engine has been doing three things on autopilot: scanning global signals, generating startup ideas, and killing the ones that aren't strong enough.
Here's what the data looks like now.
INPUTS (signal scanning)
β’ 1,034 signals collected from 308 distinct sources β government filings, R&D announcements, funding rounds, regulatory drafts
β’ Signal mix: 47% technology, 29% regulation, 19% funding
β’ Single highest-frequency signal source: EU AI Act (45 distinct events) β ahead of FDA, Nvidia, CATL, MIIT
OUTPUTS (after the engine evaluated and scored each idea)
β’ 2,667 startup ideas generated
β’ 608 survived the kill gate β survival rate 22.8%. The other three out of four were cut for thin defensibility, weak timing, or incumbent capture
β’ Of those 608 survivors, 213 (35.0%) were compliance- or regulation-driven
That alone is worth a pause. But the next part made me look twice.
THE ACTUAL POINT: CONVERGENCE
Across three independent engine iterations β with the signal mix rotating between US-heavy, Asia-heavy, and Europe-heavy weeks β the engine independently surfaced EU AI Act-related opportunities 23 separate times.
Not the same idea restated 23 times. Twenty-three different angles on the same niche: compliance kits for SMEs, conformity-assessment marketplaces, post-deployment monitoring dashboards, dual EU-China navigators, mechanistic interpretability auditsβ¦
Out of 2,667 ideas, the single highest-scoring one:
π "EU AI Act Compliance Platform" β 7.67/10
Compliance-driven ideas have held a 29β65% share across all three engine versions.

WHY THIS IS WORTH STOPPING FOR
EvoRadar is designed to chase novelty. Its imagination layer is biased toward unexpected cross-domain pairings, not safe well-trodden categories. When an engine like that keeps converging β across versions, across signal mixes, across months β onto the same opportunity space, the bias isn't in the engine. The market is sending a signal.
The EU AI Act enforcement window is now open. CBAM is expanding. GDPR enforcement is tightening. Tens of thousands of SMEs and non-EU AI exporters need to ship compliant products β and the existing tooling is either Big-4-priced enterprise consulting or DIY PDF templates from law firms.
That's the gap. The engine surfaced it 23 times.
WHAT'S NEXT
Given a signal that strong, I decided to build the tool myself β ComplianceLint, an EU AI Act compliance tool. Launching publicly in the next few days. A separate post will cover the architecture and positioning.

If you want to dig into the data behind this post, the engine's idea database is live:
π https://evoradar.ai
π https://compliancelint.dev


