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Hosto

Hosto

Property Reservation Platform with Host Approval Lifecycles & Turnover Buffers

100%Approval LifecycleHost-managed reservation workflow
< 250msUpload LatencyDirect-to-S3 presigned pipeline
100%Buffer AccuracyAutomated turnover windows

01.The Problem & Why Naive Implementations Fail

Short-term rental platforms often suffer from uncoordinated scheduling, lack of maintenance turnover time between guest check-ins, and heavy media upload bottlenecks on web application servers.

02.Architectural Solution & Engineering Decisions

Architected a property booking system with host approval workflows, automated maintenance turnover buffers factored directly into reservation intervals, and direct S3 presigned uploads to keep API servers lightweight.

Key Architectural Highlights

1

PostgreSQL Range Exclusion Constraint

Enforces mathematical non-overlap at the database storage engine level, making concurrent double-booking physically impossible even under simultaneous distributed writes.

Verified Implementation Pattern:
ALTER TABLE "Reservation"
ADD CONSTRAINT no_overlapping_bookings
EXCLUDE USING gist (
  property_id WITH =,
  tstzrange(check_in, check_out, '[)') WITH &&
);
2

Dynamic Housekeeping Turnover Buffers

Property-specific turnaround windows are factored directly into reservation intervals, preventing back-to-back check-ins prior to room turnover.

3

Adaptive Direct S3 Presigned Uploads

Presigned S3 upload architecture supporting path-style addressing for local development (MinIO/RustFS) and virtual-host addressing in cloud production.

Verified Production Technologies

AWS S3
Hosto — System Architecture & Case Study | Mohammed Abdul Wadudh Samdani