Portfolio
Free 9Last updated
Bet Advisor - Betting Picks
AI intelligence is not yet available for Gabriel Lupu. The portfolio data below is up to date.
9 apps analysed
Analysis in progress
Analysis in progress
Analysis in progress
Analysis in progress
Analysis in progress
Single-market publisher — every app ships only to United States.
Based on 2 of 9 apps with localized market data — more coverage rolling in as scans complete · last scanned .
User-sentiment analysis coming soon.
This app overlaps with the target by providing franchise management tools, though it is tethered to a larger console/mobile ecosystem.
Strategic outlook coming soon.
Down Dog dominates the same stretching and flexibility niche by offering a highly personalized, algorithm-driven practice generator that directly competes with the target's static session plans.
This app serves as a direct reference library for the same flexibility-seeking audience, focusing on educational depth.
This app directly challenges the target's management niche by offering a more modern, progression-based career simulation.
This app targets the same demographic with a more aggressive release cadence and specialized 'Wall Pilates' content.
It captures the management-simulation market by focusing on the college football ecosystem, appealing to users who prefer recruiting over professional GM duties.
It targets the same sports-gaming demographic by blending physics-based gameplay with online multiplayer competition.
This app competes for the attention of casual football fans by offering an arcade-focused alternative to the target's management-heavy simulation.
FitFlow competes by layering AI-driven health coaching and structured 28-day plans over the same flexibility-focused user base.
While the sport differs, it occupies the same 'niche sports simulation' category, appealing to users who enjoy deep, physics-based management games.
A recent launch targeting the regional market with a multilingual interface and a diverse workout library.
CorePower targets the same wellness-conscious user, though it bridges the gap between digital content and physical studio attendance.
OMFIT focuses on the 'time-poor' user segment, offering a massive library of short-duration workouts similar to the target's stretching sessions.
It targets the analytical, numbers-driven football fan who uses data to make decisions, mirroring the target's 'numbers-first' value proposition.
This app serves the educational side of the football market, providing reference material for the same audience interested in the sport's mechanics.
This newcomer leverages AI to provide predictive insights, appealing to the same data-centric user base as the target app.