Scheduling and meetings decision

Fireflies.ai

A competent engineer can build a useful subset (transcription, summaries, search) using open-source components in a few weeks, but matching Fireflies' enterprise compliance, polished real-time features, integrations, and reliability at scale would be costly and time-consuming.

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You pay

$18/mo

$216/yr

Per seat. Read off the official pricing page.

You’d pay instead

$100one-off80 h to build

$150/mo8 h/mo upkeep

On cash alone, building overtakes the subscription at 9 seats.

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 Fireflies.ai alternatives, with the arithmetic →

What a replacement has to do

  • Record/ingest meeting audio, run ASR + speaker diarization, generate extractive/abstractive summaries and action items, index transcripts for search, and provide a simple web UI to view/download transcripts and summaries.

What it still won’t have

  • Enterprise-grade compliance, audit logs, and HIPAA/BAA enterprise controls
  • Zero-data-retention / private storage enterprise options
  • Polished Live Assist / real-time coaching and Voice Agents
  • Built-in integrations catalogue (CRM, dialers, project tools) and automatic calendar joining
  • Mobile / desktop apps, Chrome extension, and production-grade recording reliability at scale

What remains hard

  • Compliance and regulationSOC 2 Type II Fireflies follows industry standards for data security, privacy, and confidentiality.
  • Compliance and regulationHIPAA Compliant Complete protection for healthcare organizations.
  • Brand trustUSED ACROSS 1 MILLION+ COMPANIES
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 9 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
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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 meeting-intelligence service using Node.js (Express) backend, PostgreSQL for metadata, a vector DB (Chroma/pgvector), and a React frontend. In scope: (1) upload or record audio files, (2) run ASR with speaker diarization (Whisper or cloud ASR), (3) produce time-stamped transcripts, (4) call an LLM to generate meeting summaries, bullets, and action items, (5) index transcripts+embeddings for semantic search and an "Ask" endpoint, and (6) a web UI to play audio, view transcripts, summaries, search, and export downloads. Out of scope: implementing enterprise SSO/SCIM, HIPAA BAA contracting, mobile/desktop apps, and a large integrations marketplace. Include retries, input validation, pagination, signed uploads, unit/integration tests for each API, and basic CI. Provide Docker compose for local dev and deployment manifests (Helm or k8s) for production.
How we checked5 sources · 3/3 runs agreed · evidence score 64

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.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 3 moats quoted from the page