Scheduling and meetings decision
Amie
A focused self‑hosted workflow (upload→transcribe→summarize→export) is realistic for a single developer in ~30 hours, but duplicating Amie's polished desktop UX, full integrations, and automation features is substantially more work.
Visit website↗$15/mo
$180/yr
Not verified against a pricing page.
$50one-off30 h to build
$150/mo8 h/mo upkeep
On cash alone, building overtakes the subscription at 11 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 Amie alternatives, with the arithmetic →
What a replacement has to do
- Upload or record meeting audio → transcribe audio with an STT API → identify speakers and timestamps → summarize transcript and extract action items with an LLM → save notes and push to calendar/third‑party integrations
What it still won’t have
- desktop floating/overlay recorder and bot‑free in‑call recording UX
- deep, prebuilt integrations and polished one‑click exports to many apps
- built‑in AI scheduling and automatic background recording
- multi‑language speaker‑labeling quality and proprietary tuning
- polish around shareable pages and team workflows
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 11 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 self‑hosted minimal AI meeting notes web app using Next.js + Postgres + Supabase auth, deployable to Vercel. In scope: upload or record meeting audio, store audio in S3, call a speech‑to‑text API (e.g., OpenAI/Whisper or AssemblyAI) to generate timestamped transcripts, run an LLM (OpenAI/GPT or Claude) to produce a concise meeting summary and extract action items, map action items to calendar/todo items via Google Calendar and Notion APIs, and provide a web UI to view/edit/share meeting pages and export to Slack/Notion. Out of scope: native macOS/iOS floating overlay recorder, enterprise SSO, advanced multi‑language speaker diarization tuning. Include error handling for failed transcriptions and API rate limits, authentication, and unit/integration tests for transcription→summary→export flows.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 5 cited sources+3
- Evidence score60
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 productAmie - AI Note Taker
- official pricingAmie - Pricing
- official docsDocumentation - Amie
- open sourceZackriya-Solutions/meetily
- open sourceVexa-ai/vexa
Integrity checks
What held up, and what did not.
