Seatsurfing

Open-source desk and space booking for hybrid offices and coworking floors

Review status: Evaluated. Read the evidence and pilot limits below before choosing.

oss-osi-approved full guide featured

Overview

Seatsurfing helps organizations book desks and spaces. Flexible-workspace operators evaluate it for hot-desk maps, presence planning, and utilization experiments without a full commercial workplace suite.

At a glance

Field	Value
Categories	`booking-scheduling`, `facility-operations`
Deployment	`self-hosted`
License class	oss-osi-approved (`GPL-3.0-only`)
Cost model	`free-self-hosted`
Implementation difficulty	`moderate`
Maintenance burden	`medium`
Maturity	`stable`
Freshness status	`partially-verified` (2026-07-17)
Completeness	`editorially-reviewed`
Confidence	`low`
Directory tier	`evaluated`

Cost reality

Free self-hosted software; operator provides hosting and support.

Pricing and free-tier limits change frequently; re-check official pricing before budget decisions.

Tasks reduced or augmented

Software does not replace community or ops staff. It may reduce or augment:

Replacing whiteboard/spreadsheet desk claims
Collecting utilization signals for layout changes
Coordinating hybrid attendance peaks

Human oversight still needed

Floor plan accuracy
Fair-use rules
Member privacy for location data

Manual process this can replace

manage-desk-assignments

Relationship: system of record
Automation level: assisted
Manual process this can replace: Printed floor maps, whiteboard claims, and spreadsheet lists for ordinary hot-desk requests.
Tasks it can reduce: Presents configured desks and records member reservations against current availability.
Role it assists: community-coordinator-front-desk
What still requires a person: Staff must verify entitlement and actual desk readiness, handle accessibility needs, and fairly approve overrides or resolve competing constraints.
What happens if it fails: An inaccurate map or unchecked assignment can double-book a desk, deny a usable accommodation, expose member presence, or leave a member without the workspace promised.
How to measure the pilot: Percentage of pilot reservations matching entitlement and physically usable desk state, with conflicts and accessibility exceptions separately reviewed.
Confidence: low

analyze-space-utilization

Relationship: reporting layer
Automation level: assisted
Manual process this can replace: Manually compiling desk reservation counts from calendars, sign-in sheets, and spreadsheets.
Tasks it can reduce: Provides booking-based occupancy signals from the configured desk and space inventory.
Role it assists: operations-facilities-manager
What still requires a person: Operations staff must check booking data against observed use, aggregate it to protect privacy, explain local context, and approve any layout or capacity decision.
What happens if it fails: Treating incomplete bookings as actual occupancy can drive poor capacity changes and turn a planning tool into disproportionate monitoring of individual members.
How to measure the pilot: Difference between aggregated booking signals and approved physical spot checks, reported with missing-data and privacy limitations.
Confidence: low

Data held

bookings
locations/spaces
user accounts
occupancy metrics
Personal data: yes
Payment data: no / not primary

Risks

Area	Notes
Vendor lock-in	Evaluate export formats and API completeness before deep customization.
Security	Apply updates promptly; restrict admin access; enable TLS.
Compliance	Operator remains responsible for privacy and local regulatory obligations.
Licensing	Confirm license fits commercial coworking use.
Operational	Plan backups, monitoring, and a restore drill before production use.

Coworking fit

Roles: operations-manager, community-manager, facilities, technical-operator

Workflows: desk-hot-desk, day-pass-checkin, reporting-kpis

Problems: measure-utilization, improve-member-experience, replace-spreadsheets, reduce-software-cost

Smallest useful experiment

Model one floor with 20 hot desks, invite a pilot member group for two weeks, and export occupancy stats.

Initial planning estimate (unverified): 1–3 days

Implementation guide

See the human-written implementation guide.

Verification

Status: partially-verified
Completeness: editorially-reviewed
Confidence: low
Tier: evaluated
Last reviewed: 2026-07-17
Sources:

Editorial review used the official site, repository, and documentation only. Floor-plan behavior, booking accuracy, utilization validity, privacy controls, and operator outcomes remain untested.