Scheduling and meetings decision
Jamie
A capable engineer can build a useful transcription+summary workflow and integrations; reproducing the full enterprise-grade, privacy-certified, cross-platform product (apps, SSO, ISO-level compliance) is larger and not realistic for a single developer to match.
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. All Jamie alternatives, with the arithmetic →
What a replacement has to do
- Record meeting audio, transcribe to text, join/label speakers, generate summary + action items, store searchable transcript and sync to docs/apps.
What it still won’t have
- Polished cross-platform desktop/mobile apps and installers
- Enterprise admin features (SSO, SCIM, audit logs) and certified compliance
- Built-in EU hosting / data residency guarantee and vendor-managed encryption at scale
- Speaker-recognition model quality and long-term speaker memory tuning
- Turnkey integrations catalog and priority support
What remains hard
- Compliance and regulation
Hosted in Europe
- Compliance and regulation
GDPR compliance
- Compliance and regulation
ISO 27001 Privacy and security measures to ensure that personal information is appropriately safeguarded.
- Compliance and regulation
SAML SSO & enterprise security & DPAs
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 5 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 privacy-first meeting note service using Node.js + Express backend, Postgres DB, React web UI, and Docker deployment to a single EU VPS. In scope: capture/local upload of meeting audio, chunking, call an ASR API to transcribe with timestamps, simple speaker diarization, call an LLM to produce meeting summary and action items, store transcripts and metadata in Postgres, a basic web UI to view/search notes, and 2 integrations (Notion, Google Docs) via their APIs. Out of scope: native desktop/mobile installers, SSO/SCIM, ISO certification, multi-tenant enterprise billing. Include error handling, retries for API calls, rate-limiting, logging, basic unit tests for transcription and summary pipelines, and a deployment script (Docker Compose).
How we checked
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
- 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 · 4
Every page the run actually retrieved.
- official productJamie - product
- official pricingJamie - pricing
- open sourceZackriya-Solutions/meetily
- open sourceNatively-AI-assistant/natively-cluely-ai-assistant
Integrity checks
What held up, and what did not.
