Warsaw, PL
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01 · My Product
Wensa — building a SaaS from zero
Resume builder · Solo founder · 4 months live · wensaresume.com
Wensa is a simple web-based resume builder with regular visitors and early revenue.
To launch, I built a basic MVP by hiring a freelance developer. A fast and cheap way to test and validate my hypothesis. Now I'm focused on growing the project.
What I'm solving now
The funnel has clear drop-off points, I see where users leave and work on reducing friction. Recently redesigned the login and paywall pages to improve conversion. Also expanding traffic channels beyond SEO. No new features until the fundamentals are working.
3×
traffic growth in 4 months
~$50/mo
revenue
547
resumes created
How I work on it
Here I'm more of a product manager than a designer, rarely open Figma. I think in hypotheses: what brings more traffic, what converts better, where users drop off. Look at the funnel, make a change, watch the numbers.
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02 · Recent Role
Fluently — growth at a YC startup
AI English tutor · YC W24 · 25k+ users · 2026
Fluently is a YC-backed AI English tutor for non-native speakers. I owned product design and supported growth: onboarding, paywall, progress tracking, vocabulary, courses.
The team worked at a pace I hadn't seen before, with an AI data agent for instant analytics and vibe coding for rapid prototyping. We could go from idea to test results in days, not weeks. Being in that environment sharpened how I think about iteration speed.
Experiment example
We built a tailored beginner onboarding expecting higher conversion. The control won. We found out in days, before committing to a full redesign of the entire flow. That's the value of speed, you fail cheap and move on.
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03 · Scale
TangoMe — live-streaming platform
Live-streaming · 400M+ downloads · ~$1.2M/day revenue · 2021–2023
I worked in a large team with PMs, analysts, and multiple engineering squads. We touched nearly every part of the app, but I spent the most time on chats, calls, stream UI, and the stream feed. Chats eventually became a direction I led independently.
Through analytics and constant user feedback, we found that chat activity correlated directly with retention and revenue — heavier chatters sent more gifts and stayed longer. But users were leaving to WhatsApp and Telegram because in-app messaging was bare-bones.
We iterated: privacy controls, quick gift access, 1-to-1 private streams, group conversations. Some features went through A/B testing before rollout, others shipped directly as table-stakes improvements. In the end, we built a full-featured messenger inside the app — and saw a significant drop in user churn and a meaningful lift in revenue.
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Summary
Speed over perfection
Ship and learn. Polish comes after validation.
Data over opinion
Analytics, A/B tests, user conversations.
Developers from day one
I collaborate closely with engineers and understand their constraints.
Own the outcome
Track metrics, iterate after launch.
© 2026, Artur Lopato 💀