Product Leader · AI · 0→1 · Growth
Anthony Peguet
Product leadership,
from zero to scale.
About
Discovery to delivery.
Owned end to end.
Two-time founder and product leader with ten years of experience building and scaling software products across AI, mobile, and B2B SaaS. I love collaborating with cross-functional teams to turn early ideas into products people actually use and enjoy.
My experience spans discovery, design, technical execution, and growth. I adjust plans quickly when user feedback comes in, keeping a constant focus on core business metrics. Prototyping early and speaking the engineering language helps me resolve trade-offs before they block delivery.
How I work
Strong opinions.
Fast execution.
Tight discovery cycles, direct involvement in execution, and clear ownership of business metrics.
01 · Continuous Discovery
Talk to users constantly.
Discovery is a continuous team habit. Interviewing users and analyzing data alongside engineering and design uncovers key opportunities that static roadmaps miss.
02 · Direct Validation
Build prototypes to learn.
Specifications are only the starting point. Prototyping interactive builds directly in code or design tools aligns the team faster and validates utility before writing production code.
03 · Outcome Ownership
Optimize for business impact.
Shipping code is output. Retention, conversion, and active usage are outcomes. Real product work continues post-launch by iterating on metrics until they move.
Selected work
Three products.
Three different bets.
Dynamilis
Educational app scaled from research prototype to 300K+ downloads
Scaled an EPFL spin-off (QS World #22) into a top-performing iPad app helping tens of thousands of children with handwriting difficulties.
Top 5% retention & conversion (RevenueCat, 75K+ apps)
View case study ›
Flyerz
Consumer app and B2B data platform scaled to 10M+ views
Built an event search engine with 97% regional market coverage across France and Switzerland.
300K opt-ins in 48h · 10M+ event views · WAU/MAU peaked at 90%
View case study ›AI support-routing pilot validated on 10,000 tickets
Built an AI support-routing prototype for a US fintech, designed around eval-driven LLM pipelines and human review safeguards.
Estimated 15h/week triage time reduction · 92% classification accuracy
View case study ›Judgment calls
Adapting strategy to market evidence.
I don't defend original plans when user behavior or market demand changes. Here are two decisions where shifting direction drove real growth.
"We built the product for therapists.
Parents were the ones buying it."
Interviews showed parents had the highest urgency because of long therapist waiting lists. We repositioned the app and acquisition channels toward families. Parents now generate 90% of revenue.
"Our data was more valuable
than our mobile application."
We started as a consumer app. When French media groups asked for access to our database, the business model became clear. We pivoted to B2B APIs and became their primary event data provider.
Track record