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REBUILD — AI-Powered Adaptive Training
Built an AI-powered product end-to-end, from product strategy and data model to deployment and evaluation.
- Adaptive training plans based on real user performance
- Structured AI outputs with validation and guardrails
- Full-stack build with Next.js, Firebase and Vercel
- Designed inference costs and scalability into the product
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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The Last Memory
Coin cabinet — Charles Percier, Paris, ca. 1809–19
The Last Memory reimagines Charles Percier's Coin cabinet as an archive of human memory. Instead of preserving coins and medals, its drawers preserve fleeting fragments of human life. Most compartments have gone dark, leaving only a few fragile memories behind. I kept the cabinet grounded in the visual language of a real museum artifact and introduced one impossible idea: what if memory itself could be physically preserved?
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This is what a VPN experience should look like:
-Zero dirty neon buttons
-Looks clean and trustworthy, not creepy
-Great navigation
-No ads
Brand, landing page, icon, mobile app, and of course positioning. All done in 4 weeks.
🚨 MORE RECOMMENDATIONS CAN MAKE A TRAVEL APP WORSE.
01/30 MOBILE APP GROWTH TIPS
I’m starting a new series: 30 mobile products → 30 growth decisions.
Not about UI tricks. About product decisions that can actually change retention, activation, and user behavior.
The first case is travel. 🌍
Most travel apps optimize supply. The real bottleneck is confidence.
Users already have no shortage of places to discover. Google Maps, TikTok, Instagram, blogs, saved lists. There are already more options than they can realistically use.
So adding more recommendations often does not create more value. It creates decision entropy.
In Veya, I shifted the core loop.
Not: discover → browse → save
But: context → decision → successful experience → trust → delegation
Weather, time, location, energy level, taste, previous saves and skips are not just personalization data. They are a mechanism for reducing uncertainty.
If the product repeatedly answers “What is actually worth doing today for me?” well enough, it stops being a catalog. It becomes a decision layer.
And that creates a stronger retention loop: more usage → more context → better decisions → more trust → more delegation → more usage
💡 GROWTH TIP #01
DON’T MAXIMIZE RECOMMENDATIONS. MAXIMIZE HOW MUCH OF THE DECISION USERS ARE WILLING TO DELEGATE TO YOUR PRODUCT.
That is when personalization becomes a real growth mechanism, not just another feature.
Day 1/30 Veya Mobie App Redesign
29 more product decisions are coming around gamification, personalization, retention, monetization, and AI driven growth. 🚀
If this is your kind of topic, see you in #02.
#MobileAppGrowth #ProductStrategy #Gamification #Personalization #MobileUX #Asol_design #ProductDesign
