Scheduling and meetings decision
MeetGeek
A capable engineer can reproduce MeetGeek's core recording→transcription→summary loop in ~one week, but replicating its enterprise features, integrations catalog, voice agents, scale, and trust requires significant additional work and resources.
Visit website↗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
- Record or upload meeting audio → transcribe → speaker-label and index transcript → generate AI summary and action items → display searchable transcript and summary in a web UI
What it still won’t have
- Enterprise governance: SSO/SCIM, org-wide retention controls, on-prem options
- Scale, reliability, and multi-tenant telemetry/analytics at MeetGeek scale
- Pre-built catalog of integrations and no-code workflow builder
- Voice agents that autonomously take and act on calls
- Brand trust, vendor ecosystem, and managed onboarding/support
What remains hard
- Brand trust
Trusted by 50,000+ teams across 100+ countries
- Compliance and regulation
Enterprise-grade security, compliance, and trust.
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 16 seats.
Money you would actually spend
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
Build a minimal self-hosted meeting notetaker using Node.js (Express) backend, React frontend, Postgres, and S3-compatible storage. Core features in scope: (1) accept audio uploads and store files in S3, (2) transcribe audio using an external STT (Whisper or cloud STT) with speaker diarization, (3) call an LLM API to generate concise summaries and action items, (4) store transcripts, summaries, and metadata in Postgres and provide full-text search, (5) simple calendar integration (Google Calendar OAuth) and a webhook to push summaries to Slack. Out of scope: multi-tenant enterprise controls (SSO/SCIM), custom voice agents, UI polish, and paid integrations. Include error handling, retry logic for transcription and LLM calls, and unit/integration tests for the pipeline and API endpoints.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 5 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Hard moats found in the evidence-3
- Evidence score64
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 →Cited sources · 5
Every page the run actually retrieved.
- official productMeetGeek | AI Meeting Notetaker & Automation Platform
- official pricingPlans & Pricing | MeetGeek Meeting Assistant
- official productAI Notes Taker & Meeting Assistant for Product Teams - MeetGeek
- open sourceZackriya-Solutions/meetily
- open sourceVexa-ai/vexa
Integrity checks
What held up, and what did not.
