Maksym Kiryanov
Pixel Pulse: Screen Burn Fix
Snapshot
Publisher DNA
What defines Maksym Kiryanov?
AI intelligence is not yet available for Maksym Kiryanov. The portfolio data below is up to date.
Portfolio
What does Maksym Kiryanov ship?
Apps
9 apps analysed
Analysis in progress
Analysis in progress
One-time payment model lowers the barrier to entry compared to subscription-based competitors
- Markerless AI body mapping removes the need for physical markers or professional equipment
Analysis in progress
Analysis in progress
Distributed across 14 markets, strongest in Europe.
Based on 2 of 9 apps with localized market data, more coverage rolling in as scans complete · last scanned .
Americas (3)
- United States2 / 2
- Canada1 / 2
- Mexico1 / 2
Europe (6)
- France1 / 2
- Germany1 / 2
- Italy1 / 2
- Spain1 / 2
- Turkey1 / 2
›+1 more europe market
- United Kingdom1 / 2
Asia-Pacific (5)
- Australia1 / 2
- India1 / 2
- Indonesia1 / 2
- Singapore1 / 2
- Vietnam1 / 2
Core markets (2/2 apps)
User Sentiment
How do users feel about their apps?
1
Positive apps
0
Neutral / mixed
0
Negative apps
90/100
Avg sentiment score
Rivals
Who does Maksym Kiryanov compete with?
The rivals identified
Nemeses(1)
TrainerRoad competes for the same performance-oriented cyclist audience by providing structured, data-driven training plans that complement the physical bike fit adjustments our app provides.
Contenders(3)
This app targets the indoor cycling experience, competing for the user's time and attention during their actual workout sessions.
FulGaz competes for the indoor cycling market share by offering high-quality, real-world route simulations for training.
This is a direct functional competitor that uses similar markerless tracking technology to analyze cycling posture and bike geometry.
Same space(4)
It occupies the cycling utility category by incentivizing daily riding through rewards and tracking, overlapping with our casual user base.
It competes for the e-bike segment of the cycling market by providing system-level monitoring and bike control features.
This app serves the same performance-minded cyclist who needs to analyze their training data and physical metrics.
This app shares the cycling utility space by focusing on sensor integration and structured workout data for performance tracking.
New entrants(1)
This newcomer enters the cycling training space with AI-driven plans, signaling a shift toward automated coaching that competes with our AI-first positioning.