Audit & Parity Map
Catalogued every feature, edge case, and data dependency to ensure nothing was lost in transition.
HELM needed to evolve from a brittle MVP into a secure, reliable, and scalable platform without breaking existing user flows. Our challenge was to keep UI parity while rebuilding the entire backend, introducing CI/CD, and ensuring a zero-downtime cutover.

Migrate fragile MVP foundations built in Replit into a maintainable codebase, while keeping familiar UI and flows users already trusted.
Enable full booking flows — search, select, schedule — with robust roles, permissions, and scalable data handling.
Establish DevOps maturity through CI/CD pipelines, monitoring dashboards, and structured incident response.
Lay the groundwork for expansion into payments, reviews, availability calendars, and advanced marketplace features.
Each project follows a structured, outcome-driven process. Whether migrating brittle MVPs or scaling live ops, our methods ensure reliability, speed, and measurable impact.

Browse private chefs, valets, and lifestyle providers with clear categories, details, and pricing.

End-to-end scheduling, from service search to calendar-based booking and secure confirmations.

Personalized hub for managing active bookings, past history, payments, and account preferences.
Across industries, our work reduces error rates, accelerates releases, and creates platforms ready for growth.
We take MVPs from fragile prototypes to production-ready platforms in under 12 weeks. Speed never comes at the expense of quality or long-term scalability.
Error rates typically drop 60–80% after launch with proper monitoring in place. That means fewer incidents, smoother releases, and happier users.
We optimize infrastructure with observability and right-sizing from day one. That keeps cloud costs predictable while scaling sustainably.
We rebuilt HELM’s frontend and backend with scalable architecture, introduced observability, and deployed to GCP with confidence. A mix of speed and engineering discipline ensured stability without slowing delivery.
Catalogued every feature, edge case, and data dependency to ensure nothing was lost in transition.
Completed a 1-week migration to Next.js with cleaner state management, improved error handling, and performance optimizations.
Designed modular Express APIs, integrated background jobs, and implemented event-driven workflows using Inngest.
Set up Cloud Run, Cloud SQL, Redis, and CI/CD pipelines with full observability via Sentry and Cloud Logging.
Executed a blue-green release, closely monitored metrics, and rapidly resolved any post-launch regressions.