We build systems that read community signals
for the AI era.
Venture studio focused on capturing real-world community signals and translating them into AI-readable authority.
AI doesn't understand communities. Yet.
AI prioritizes what it can read.
Communities produce rich signals… but invisible ones.
Likes, content, classic SEO ≠ primary signals.
The real is not structured.
Most community value is currently lost to AI systems.
Communities generate primary signals.
Authority is not published. It is detected.
Built from
curiosity,
not strategy.
Alexendre started building products early, driven by curiosity more than strategy. Over the years, he has designed and shipped applications across very different contexts — consumer apps, SaaS products, community platforms, immersive experiences.
Some projects scaled fast. Others didn't. But they all revealed the same pattern.
The most valuable signals were never the ones tracked in dashboards.
Signals before
content.
Today, the studio is built around a clear conviction: communities emit signals before they create content.
Those signals — presence, recurrence, relationships — are what AI systems increasingly rely on to determine credibility.
The work of the studio is to make those signals legible.
Not to chase attention.
But to build credibility that compounds.
Avec Trois E was created to focus on that blind spot.
Designing products and systems that start in the real world, capture meaningful interactions, and translate them into structured, AI-readable authority.
Products that capture
real signals.
Each system designed to transform invisible community behaviors into structured, verifiable authority signals.
Running Clubs
Track real engagement through physical presence and community growth patterns.
Local businesses
Capture workspace dynamics and professional relationship formation.
Events
Measure authentic community building through repeated participation.
Professional Networks
Quantify networking value through meaningful professional interactions.
Currently in production, generating real signals.
Signal thinking over feature thinking.
We don't build features.
We build systems that read the real.
Every interaction is designed as a potential signal.
If AI can't read it, it doesn't exist.
If you believe in signal over noise.
Build systems that make communities legible to AI.
If you're serious about community signals and AI credibility, let's talk.