Shilo
Shilo.designed for calm, trustworthy walk records
Shilo is a production-grade, map-first mobile application for recording and reviewing dog walks. Inspired by AllTrails, it treats each walk as a durable record — capturing route, duration, distance, and timing in a calm, reliable interface built for real-world use.
Technical Thesis.
Shilo is designed as a long-lived walking log rather than a marketplace or scheduling app. The system prioritizes clarity, trust, and spatial accuracy — ensuring each walk is captured as a verifiable artifact that can be revisited over time without noise or unnecessary features.
Visual_Manifest // Technical_Snapshots
Map-first walk recording
Each walk is recorded as a continuous GPS path rendered on a Mapbox map. The UI is intentionally minimal, allowing the route itself to become the primary visual artifact rather than surrounding controls or metrics.
Calm, AllTrails-inspired walk history
Completed walks are presented as a calm, scrollable log with map snapshots and essential stats. Spacing, typography, and hierarchy are tuned to reduce cognitive load and support quick outdoor glances.
Structured walk data model
Walks are modeled as durable records with explicit start and end times, distance, duration, and encoded polylines. This structure enables reliable summaries, future analytics, and owner-facing transparency without reprocessing raw GPS data.
Designed for professional and personal use
Shilo supports multiple pets per walk and clean separation between walkers and owners, allowing the same system to scale from personal use to professional walking without changing the core UX or data model.
Functional Proof.
Detailed logic applied to real-world production needs.
with accurate spatial tracking
Recording daily walks reliably
Walkers can start, pause, and finish walks while Loop records a continuous GPS path and aggregates distance and duration. This produces a trustworthy record without manual input or post-processing.
Technical_Focus
- Live GPS tracking
- Encoded polyline storage
- Snapshot generation for history views
Outcome
Each walk is saved as a verifiable, reusable artifact that can be reviewed later with full spatial context.
Media_Signal // Pending
DEPLOYMENT_IN_PROGRESS
SYSTEM_LOG: The visual documentation for Recording daily walks reliably is currently being structured and staged for production deployment. Check back for full structural reveal.
without real-time micromanagement
Providing transparency for pet owners
By presenting completed walks as clear map snapshots with essential stats, Loop enables owner trust without requiring live tracking or constant notifications.
Technical_Focus
- Post-walk summaries
- Owner-readable walk records
- Minimal notification surface
Outcome
Owners gain confidence in walks while walkers maintain a calm, interruption-free experience.
Media_Signal // Pending
DEPLOYMENT_IN_PROGRESS
SYSTEM_LOG: The visual documentation for Providing transparency for pet owners is currently being structured and staged for production deployment. Check back for full structural reveal.
without redesign
Scaling from personal use to professional workflows
The underlying data model supports multiple pets, walkers, and roles from day one. This allows Loop to grow into professional use cases without breaking existing walk records or UI assumptions.
Technical_Focus
- Role-aware schema design
- Multi-pet walks
- Forward-compatible architecture
Outcome
The product can evolve into professional workflows without forcing disruptive redesigns or migrations.
Media_Signal // Pending
DEPLOYMENT_IN_PROGRESS
SYSTEM_LOG: The visual documentation for Scaling from personal use to professional workflows is currently being structured and staged for production deployment. Check back for full structural reveal.
Stack_Manifest
Explicit tradeoff
"Instead of building payments, scheduling, or a two-sided marketplace, Shilo deliberately focuses on walk accuracy, spatial clarity, and calm presentation. This tradeoff keeps the system simple, reliable, and extensible without introducing premature complexity."