AI assistants and search decision
Natively AI
Do not rebuild — the project's own open-source repo provides a runnable implementation; a technical user should self-host or extend it rather than reimplementing from scratch.
Visit website↗$8/mo
$96/yr
Read off the official pricing page.
$20one-off8 h to build
$30/mo3 h/mo upkeep
On cash alone, building overtakes the subscription at 4 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 Natively AI alternatives, with the arithmetic →
What a replacement has to do
- Capture meeting audio, convert to text (STT), run LLM with user resume/context to produce real-time cues and post-meeting structured notes, surface actions/answers in a desktop overlay.
What it still won’t have
- Managed hosting, SLA and usage bundling from Natively's managed plans
- Polish and cross-platform packaged desktop UX and installer
- Any proprietary token-based Pro unlocks and governance features
- Potential performance/latency optimizations from their hosted infra
What remains hard
- Brand trust
56,385+ Downloads
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 4 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 runnable self-hosted instance of the Natively meeting assistant using Electron (or Tauri) + Node.js backend and SQLite, integrating: (1) system/mic audio capture via a virtual audio device or OS APIs, (2) configurable speech-to-text provider (Deepgram/Google) via provider APIs, (3) configurable LLM interface that accepts OpenAI/Anthropic/other API keys, (4) a simple overlay UI that shows live transcript, real-time suggestions from the LLM, and a post-meeting structured notes page with action items and search. Out of scope: training new models, blockchain/token integration, enterprise SSO. Include error handling for failed STT/LLM calls, configurable rate limits, basic tests for audio capture, STT and LLM flows, and a README with install and run steps.
How we checked
How the score was reached
- Build verdict base78
- An open-source build was found+5
- 4 cited sources+3
- Price verified on pricing page+3
- 1/1 assessment runs agreed+4
- Evidence score93
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 productNatively homepage
- official docsNatively features
- official pricingNatively pricing
- open sourceNatively GitHub (prior art)
Integrity checks
What held up, and what did not.
