Whizplan
B2B travel safety platform with AI risk reports, dual-billing, and multi-tier RLS. Sole developer.
Visit the live productThe problem
Corporate travellers visiting unfamiliar locations need real-time intelligence on what is happening between their origin and destination. The regulatory environment around travel-risk intelligence demands that no user be identifiable to anyone, including the platform itself. Off-the-shelf travel platforms log everything for monetisation, which immediately disqualifies them from this market.
Why custom over SaaS
There is no SaaS that simultaneously delivers real-time AI-summarised travel intelligence and complete user anonymity. A privacy-first version of the same product has to be built from scratch with anonymisation baked into the architecture, not added on later.
What we built
A cross-platform mobile app (Flutter for Android, iOS, and web via CanvasKit). Every API call routes through a Supabase edge layer that strips identifying metadata before forwarding to upstream services. Google Maps API provides route data. Gemini AI with Google Search grounding generates a brief on conditions and notable events between any two points the traveller is moving through. Push notifications alert the user to changes en route. A Stripe and RevenueCat dual-billing layer handles paid tiers without exposing user identity to the payment processors at the app level.
The hardest part
Building a system that delivers personalised AI-generated content while maintaining complete user anonymity. The model needs context to write a useful brief, but the user must remain unidentifiable end to end. Every data path from the user's phone to the model and back was designed around routing through an anonymising edge layer. Add a real-time AI service, three platform targets, and dual-billing reconciliation, and the architecture stays demanding regardless of how clean the surface looks.
What it shows
Whizplan is the strongest demonstration we can offer of how to build a privacy-first AI consumer app. Cross-platform from a single codebase. AI integration with search grounding. Multi-tier subscription with dual payment providers. Multi-tenant data isolation. All of it shipped and maintained by one developer.
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