
AI-powered ops console for multi-property STR operators. Airbnb, Booking.com, MakeMyTrip, and direct — unified in one place.

Purpose-built for multi-property operators across every major booking channel.
Flags overlapping reservations across Airbnb, Booking.com, MakeMyTrip, and direct — before check-in.
Claude streams reasoning token-by-token and proposes a fix with a 0–100 confidence score.
Idempotent ingestion via SHA-256 row hashing — re-import any time without creating duplicates.
Occupancy %, ADR, and gross revenue computed from live Postgres rows via server components.
Claude-generated Markdown summaries delivered weekly to Slack via Vercel Cron.
Upcoming turnovers surfaced 48 hours ahead with channel and property context — auto-assigned nightly.
Upload a CSV or paste your Google Sheets URL — all channels ingested in one go, duplicates automatically skipped.
Rule-based reconciliation flags every double-book, pricing anomaly, gap, and mismatch — instantly, before any human reviews.
Claude reads the full booking context, streams its reasoning, proposes the right action, and captures your decision for training.
Early access feedback from multi-property STR operators across India
“Built to handle the exact chaos we see every peak season — double-books showing up across Airbnb and Booking.com at 11 pm. This is the tool I needed before last Diwali.”Multi-property operator, Goabeta tester
“The AI conflict resolution alone saved us from a nightmare double-booking during a wedding season. It flagged the issue, explained the clash, and suggested the fix in seconds.”STR host, Mumbai4 properties
“CSV import with automatic dedup was a game-changer. We were managing bookings in four different spreadsheets — now everything reconciles in one place without manual cross-checking.”Villa manager, Kerala12 villas
“The live KPI dashboard shows occupancy, ADR, and open conflicts in one view. Before this I was pulling numbers from three different channel portals every morning.”Airbnb Superhost, Delhi NCR6 properties
“Weekly AI reports land in Slack every Monday before I wake up. The summary catches things I would have missed — price mismatches, gap nights between bookings, underperforming properties.”Property manager, Bangalore9 units
“Turnover scheduling used to be a manual WhatsApp chain. Now the system auto-assigns cleaning slots from checkout data. Staff know where to be without a single message from me.”Resort operator, Rajasthan20+ rooms
We're onboarding early-access operators. No commitment — just a conversation.