Rativa

Rativa is a hotel market intelligence platform I built independently. It collects competitors' public room rates, shows them beside the hotel's own rate for the next 14 nights, and flags the changes worth a look.

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Independent product. I built the web application, the database layer and the scheduling that feeds the data-collection workers.

• Next.js web application
• Supabase database and authentication
• Data-collection workers
• Pricing analytics and dashboards
• Calendars, alerts and hotel management
• Subscription billing

Independent hotels set their own rates but rarely have a revenue-management system. The aim was a quiet daily view of what the hotels guests compare you with charge for the coming nights, without spreadsheets or a dozen browser tabs.

• The app runs on Next.js (App Router) with Supabase for Postgres, sign-in and row-level security. Most reads and writes go straight to Supabase, scoped per user and hotel.
• A scheduled job queues collection tasks. A separate Python and Playwright worker, in its own repository and container, picks them up and stores the results for the app.
• Data states are shown honestly: priced, sold out, no match, not checked and stale. A failed check keeps the last known prices rather than showing a zero.

• Rates grid and calendar

  Nights by hotels, or a month view, with a detail panel for each night.

• Alerts

  Price moves and sell-outs grouped by night, with an email digest after each check.

• Rate advisor

  Rule-based pricing guidance for the next seven nights, with the working shown. Clearly labelled as not AI.

• Performance

  Nightly rooms sold, revenue, ADR and occupancy alongside the market view.

• Several hotels, eight languages

  Switch between hotels, each with its own competitors, alerts and schedule.

• Next.js (App Router)
• TypeScript
• Tailwind CSS
• Supabase (Postgres, Auth, RLS)
• Recharts
• Stripe
• Vercel and Vercel Cron
• Python and Playwright worker (Docker)