Design for the circuit
Requirements had to reflect how enthusiasts prepare for, drive, record, and review a real session at a track.
Track Day Genius customer story · Motorsport telemetry
How Track Day Genius turned racetrack data into actionable lap insights
Avant Garde Associates partnered with Shinetech to build a native iOS product that brought circuit profiles, video, GPS, motion data, and performance analysis into one track-day experience.
About Track Day Genius
Track Day Genius is a mobile product created for track-day enthusiasts who want to record, understand, compare, and share their driving performance.
The situation
The product had to translate a fast, physical experience into feedback drivers could understand and use.
The product vision combined preloaded circuit profiles, video capture, and visual telemetry analysis for enthusiasts who wanted more than a stopwatch after a track session.
Users needed a clear way to review how speed, acceleration, G-force, slope, vehicle setup, and circuit position changed across laps and sectors.
The product challenge
Combine field context, synchronized signals, and visual analysis in one mobile workflow.
The team needed to understand real track-day behavior before shaping the data model, architecture, capture flow, and review experience.
Synchronize multiple signals
Video, GPS, speed, acceleration, G-force, slope, and vehicle profiles had to become one coherent session record.
Turn data into decisions
Predictions, graphs, maps, sector comparisons, and summaries needed to make performance differences easy to interpret.
The solution
Track research informed a native iOS architecture for capture, telemetry analysis, review, and sharing.
Shinetech paired onshore product support with a distributed engineering team. Objective-C, C++, .NET Core, and GPS capabilities supported the mobile experience, while modular development kept capture, analysis, profiles, commerce, and sharing connected.
- 01
Learn at the track
Visit circuits with the client and observe the environment, user expectations, and review journey directly.
- 02
Build the capture and analysis foundation
Connect video, GPS, motion signals, circuit profiles, vehicle data, and telemetry calculations in a modular application framework.
- 03
Complete the product workflow
Add predictive timing, comparisons, graphs, satellite views, in-app purchases, and sharing around the core session record.
Product interface
One mobile journey connected capture, comparison, and lap-by-lap analysis.
These Track Day Genius screens show the delivered interface and the types of feedback available to drivers.
How we worked
Keep product decisions close to drivers and delivery decisions visible to the full team.
A London-based project lead also served as business analyst, working directly with the client while coordinating the distributed development team.
Track visits grounded product decisions in real user expectations instead of assumptions made away from the circuit.
Weekly demos, feedback, and Sprint planning helped every developer understand the overall product goal and take responsibility for quality.
01Observe
Study track-day behavior and expectations.
02Frame
Define the architecture and product modules.
03Demonstrate
Review working software every week.
04Refine
Use feedback to shape the next Sprint.
Product demonstration
See how Track Day Genius combined GoPro video with vehicle and lap telemetry.
The product demonstration shows the relationship between recorded video, circuit position, vehicle data, and lap analysis.
The result
The delivered iOS product turned each track session into visual telemetry and comparable performance records.
The application combined circuit profiles, video logging, speed, acceleration, G-force, slope, predictive lap timing, vehicle profiles, graphs, satellite views, and session summaries.
Live telemetryfrom GPS, speed, acceleration, G-force, and slope
Predictive timingfor lap, sector, and theoretical-best review
Shareable sessionswithin the product and through social channels
A complete session record
Video, circuit position, telemetry, and vehicle information gave users one place to revisit a run.
Analysis designed for action
Predictions, graphs, maps, and comparisons turned measurements into understandable feedback.
A product beyond the core timer
In-app purchases, imported video, profiles, and sharing extended the experience around lap analysis.
Case taxonomy
Searchable by client, industry, technology, and product capability.
Client and product
- Track Day Genius
- Avant Garde Associates
- Motorsports
- Mobile Application
Technology and delivery
- Native iOS
- Objective-C
- C++
- .NET Core
- GPS
- Agile
Product capability
- Video Capture
- Telemetry Algorithms
- Predictive Lap Timing
- G-force Analysis
- Session Comparison
- In-app Purchases
Make field data useful
Need a mobile product that turns sensor data into an experience people can act on?
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“A fantastic company to work with.” After the initial rapid development project, American Shipping Co. kept two Shinetech developers embedded for nearly four years, supporting internal and external tools and new AI initiatives.
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