Scheduling and meetings decision

Gather

A small team can build a narrow virtual-office with proximity audio, chat, and a basic map, but reproducing Gather’s full, polished hosted product (scale, integrations, AI features, and brand ecosystem) is expensive and time-consuming—keep paying if you need the complete experience; roll your own only for a limited internal workflow.

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Subscription$12/month ✓ verified
Initial build80 hours
Monthly upkeep12 hours + $50
Evidence2/3 runs agree

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need — the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship.

What a replacement has to do

  • A user opens a shared office map, sees nearby people, starts/joins proximity audio/video, and sends chat messages.

What it still won’t have

  • Polished, battle-tested UX and polish of Gather's product
  • Scale and reliability of Gather's hosted media infrastructure
  • Built-in integrations (Google Calendar, Github, Spotify) catalog
  • Brand trust and ecosystem of existing customers
  • Proprietary AI meeting-notes/transcription implementation (unless you integrate third-party APIs)

What remains hard

  • Brand trustJoin 5,000+ remote teams who feel like teams
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 5 seats.

Paid seatsseats

Money you would actually spend

Keep paying

Subscription price × seats × 12

Build it

AI build APIs + hosting

Time you would spend

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal virtual office app using React for the web client, Node.js + Express for the backend, Postgres for persistent data, Redis for presence pub/sub, and Janus or Jitsi (hosted or self-hosted) for WebRTC signaling/SFU. In scope: 2D map with movable avatars, user authentication (email or OAuth), presence/location updates, proximity audio/video (attenuation by distance), persistent text chat (channels and DMs), a simple room editor to place tiles/objects, TURN server configuration, and basic logging/metrics. Out of scope: multi-tenant billing, enterprise SSO, advanced AI meeting-notes (you may wire OpenAI/Whisper or a transcription API as optional). Include error handling, unit/integration tests for backend endpoints, and a Docker-based deployment (compose or k8s) with instructions to run on a single VPS.
How we checked4 sources · 2/3 runs agreed · evidence score 63

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 4 cited sources+3
  • Price verified on pricing page+3
  • Evidence score63

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time — so the same evidence always produces the same number.

How scoring works →

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat quoted from the page