Double Dog Studios
Bike Fast Fit Elite
Publisher DNA
What defines Double Dog Studios?
AI intelligence is not yet available for Double Dog Studios. The portfolio data below is up to date.
Portfolio
What does Double Dog Studios ship?
Apps
3 apps analysed
Automated video capture reduces user effort during fitting sessions
- Automated marker tracking provides accurate biomechanical feedback for cyclists performing their own bike fits
- Marker tracking fails when lighting conditions or marker placement are not perfectly aligned with guidelines
Analysis in progress
Real-time analysis capability removes hardware-setup friction for high-volume fitters
- Markerless tracking library functions as a B2B distribution barrier into professional bike shops
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 .
Americas (3)
- Brazil2 / 2
- Mexico2 / 2
- United States2 / 2
Europe (5)
- France2 / 2
- Germany2 / 2
- Italy2 / 2
- Portugal2 / 2
- Spain2 / 2
Core markets (2/2 apps)
User Sentiment
How do users feel about their apps?
1
Positive apps
0
Neutral / mixed
0
Negative apps
75/100
Avg sentiment score
Rivals
Who does Double Dog Studios compete with?
The rivals identified
Nemeses(2)
Both applications target the bicycle fit analysis market by providing video-based posture assessment tools for riders seeking injury prevention and comfort.
TrainerRoad dominates the structured training market, competing directly for the time and attention of serious cyclists who use BFF Pro for physical bike fitting.
Contenders(12)
Both apps target cyclists seeking home-based bike fitting using AI-driven video analysis, directly competing for the DIY bike-fit market segment.
Xert competes by offering advanced physiological modeling that appeals to the same data-driven cyclist demographic as BFF Pro.
FulGaz competes for the indoor training experience, capturing the user's time during the same sessions where bike fit is optimized.
Both apps target cyclists performing home-based bike fits using camera-based biomechanical analysis. RoadFitter competes by offering a live, voice-guided experience without the subscription costs found in Bike Fast Fit Elite.
Both applications target cyclists seeking posture correction through AI-driven analysis, competing directly for the home-based bike fitting market.
Both apps target the same audience of amateur cyclists seeking home-based biomechanical bike fitting analysis without professional studio visits.
Both apps target cyclists performing home-based bike fits using markerless pose detection, directly competing for the amateur rider segment.
JOIN provides an adaptive coaching platform that competes for the user's subscription budget in the cycling performance space.
Both apps target amateur cyclists seeking biomechanical feedback via AI-driven pose estimation, creating direct competition for users evaluating home-based bike fitting solutions.
Both apps target cyclists seeking ergonomic improvements via markerless AI analysis, creating direct competition for amateur riders who prioritize cost and ease of use.
Both apps target the bike fitting market using AI-driven analysis, with Bike Fit Performance specifically focusing on the professional retail segment that Bike Fast Fit Elite's Pro tier also serves.
TrainerDay offers a low-cost, high-volume library of workouts that challenges the value proposition of any paid cycling utility.
Same space(14)
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.
Offers a hybrid fitting model that combines automated analysis with remote human expert feedback.
Acts as a comprehensive cycling computer that replaces external hardware, whereas the source app focuses on the pre-ride fitting process.
Focuses on general performance tracking and GPS logging, lacking the specialized markerless biomechanical analysis found in the source app.
Provides training plans and workout structure, serving as a post-fit companion for cyclists who have already optimized their position.
Targets the same performance-oriented cyclist audience but focuses on navigation and safety hardware integration rather than biomechanical analysis.
Provides a simplified, static calculation tool for saddle height, serving as a basic entry point compared to the source app's AI analysis.
Directly competes in the biomechanical fitting space by using computer vision for posture and alignment analysis.
This app serves the same analytical, data-heavy user base that requires precision in their cycling setup.
Serves as a hardware configuration utility for specific smart bikes, contrasting with the software-only biomechanical fitting approach.
Addresses the physical maintenance needs of the same cyclist demographic through an on-demand service model.
Shares the performance-tracking space but uses physics-based power estimation as a low-cost alternative to power meters.
A niche utility that focuses on the core sensor data required for both fitting and training.
New entrants(2)
A new entrant leveraging Apple Watch haptics to influence pacing, overlapping with the performance-optimization goals of BFF Pro.
A new AI-driven training platform that directly challenges established coaching apps in the cycling category.
