Double Dog Studios
Known forBike Fast Fit Elite
Portfolio
Free 3Last updated
Bike Fast Fit Elite
v3.1.2
3mo ago
AI intelligence is not yet available for Double Dog Studios. The portfolio data below is up to date.
3 apps analysed
Tiered subscription captures both amateur and B2B segments
Analysis in progress
Real-time analysis capability removes hardware-setup friction for high-volume fitters
Distributed across 8 markets, strongest in Europe.
Based on 2 of 3 apps with localized market data — more coverage rolling in as scans complete · last scanned .
1
Positive apps
0
Neutral / mixed
0
Negative apps
75/100
Avg sentiment score
TrainerRoad dominates the structured training market, competing directly for the time and attention of serious cyclists who use BFF Pro for physical bike fitting.
Strategic outlook coming soon.
FulGaz competes for the indoor training experience, capturing the user's time during the same sessions where bike fit is optimized.
JOIN provides an adaptive coaching platform that competes for the user's subscription budget in the cycling performance space.
TrainerDay offers a low-cost, high-volume library of workouts that challenges the value proposition of any paid cycling utility.
Xert competes by offering advanced physiological modeling that appeals to the same data-driven cyclist demographic as BFF Pro.
Wattbike Hub overlaps with the target app by providing granular pedaling technique feedback, specifically targeting the biomechanical performance niche.
This app occupies the cycling utility space by incentivizing riding through rewards and tracking.
Fazua targets the hardware-connected cyclist, focusing on bike-specific data monitoring and control.
This app serves the same analytical, data-heavy user base that requires precision in their cycling setup.
HR2VP acts as a utility tool for cyclists, bridging the gap between heart rate data and power output estimation.
MyWhoosh occupies the virtual cycling space, competing for the time and attention of cyclists who train indoors.
A niche utility that focuses on the core sensor data required for both fitting and training.
A new AI-driven training platform that directly challenges established coaching apps in the cycling category.
A new entrant leveraging Apple Watch haptics to influence pacing, overlapping with the performance-optimization goals of BFF Pro.
