Can Granola be vibe coded?
AI meeting notepad that turns transcripts into structured notes
A local recorder plus Whisper transcription plus an LLM note template covers the core personal loop. The paid product is mainly polish, meeting context, sync, and team workflow.
Jump to the build brief ↓Checked Jul 2026
What you pay today, before any DIY hosting
medium editorial confidence
Buildability by layer
Screens, forms, and focused interactions
The repeatable job the product performs
Availability and legality of required data
Uptime, queues, support, and maintenance
Security, compliance, and user confidence
The achievable core
- Record system/mic audio, transcribe with Whisper or a hosted speech API, send transcript plus your rough notes to an LLM, save Markdown notes by date and meeting title.
- Capture supplied audio, transcribe it, create structured notes, and export them.
- A responsive interface with real empty, loading, success, and error states.
The parts a prompt cannot buy
- sync across devices
- the mobile app
- automatic calendar joins
- someone else's servers & support
- The last 20 percent is sync, migration fidelity, speed, and edge cases.
- Connectors, OAuth flows, and vendor API changes require constant upkeep.
Why people still pay
They pay because it is always on, nicely integrated with calendar/work calls, and trustworthy enough not to lose meeting history.
The last 20 percent is sync, migration fidelity, speed, and edge cases.
Connectors, OAuth flows, and vendor API changes require constant upkeep.
The brief
Context, requirements, acceptance criteria, non-goals, and the full production standard — as Markdown, ready for any coding agent.
Build brief — a focused alternative to Granola
Context
**Granola** — AI meeting notepad that turns transcripts into structured notes. It currently costs $14/mo.
A local recorder plus Whisper transcription plus an LLM note template covers the core personal loop. The paid product is mainly polish, meeting context, sync, and team workflow.
This brief describes a focused, single-operator replacement for the part of Granola that is genuinely reproducible. It is deliberately narrower than the product it replaces, and it says so in writing. Build the useful core; do not pretend to have rebuilt the rest.
What you are building
Record system/mic audio, transcribe with Whisper or a hosted speech API, send transcript plus your rough notes to an LLM, save Markdown notes by date and meeting title.
Capture supplied audio, transcribe it, create structured notes, and export them.
A responsive interface with real empty, loading, success, and error states.
Requirements
Functional
MacOS or Windows audio capture library.
Local folder or SQLite database.
Data and integrations
OpenAI/Anthropic API key or local Whisper model.
Each of these needs a real account, credential, or quota. Set them up before writing feature code.
Non-functional
Accessibility: semantic markup, labelled controls, visible focus, and reduced-motion support.
Security: server-side secrets, validated input, and no credentials in the client bundle.
Reliability: retries with backoff on external calls, and a clear failure state when a provider is down.
Portability: the operator can export their data and leave without losing it.
Implementation brief
Build me a local meeting-notes app like Granola for macOS. Requirements:
A menu bar app (Swift or an Electron tray app · pick the simpler to ship) with
Start/Stop Recording. Record system audio + mic (use whatever screen-audio capture
permission approach is standard).
On stop: transcribe the audio locally with whisper.cpp (medium model), or via
OpenAI/Groq Whisper API if a key is present in .env.
Send the transcript to an LLM (key from .env) with a prompt that produces: a
5-bullet summary, decisions made, and action items with owners.
Save to ~/MeetingNotes/YYYY-MM-DD-HHMM.md: summary at top, full transcript below
a divider. Keep the audio file next to it.
No accounts, no cloud storage, no telemetry. Everything stays on my machine except
the API calls, and work fully offline if whisper.cpp + a local model are available.
Include a README with the permissions I need to grant and how to install deps.
Delivery standard
Inspect the repository first, then write a short implementation plan before writing code.
Deliver the smallest complete end-to-end workflow first; every primary control must work against persisted data.
Use real validation and storage; never substitute fake dashboards, decorative controls, hard-coded success states, or mock integrations.
Include responsive layouts plus genuine empty, loading, success, validation, and failure states.
Keep secrets server-side in environment variables, provide .env.example, and never commit credentials or user data.
Add structured logs around every external call and return actionable errors without leaking sensitive details.
Write unit tests for the core logic and one automated test of the main user journey.
Finish with a README covering setup, architecture, data location, backups, tests, deployment, and known limitations.
Acceptance criteria
A clean install starts the app using only the README and .env.example.
The primary journey works from first visit through saved result, reload, edit, export, and deletion where applicable.
Invalid input, missing configuration, provider failure, and an empty database each have a usable state.
The interface works at 390px and 1440px, is keyboard navigable, and shows visible focus on every control.
Tests, type checking, linting, and a production build all pass with no ignored failures.
No part of the interface implies a live integration, security guarantee, or scale capability that was not actually built and verified.
Non-goals
Do not build these, and do not claim to have replaced them:
Sync across devices.
The mobile app.
Automatic calendar joins.
Someone else's servers & support.
The last 20 percent is sync, migration fidelity, speed, and edge cases.
Connectors, OAuth flows, and vendor API changes require constant upkeep.
What you still own after launch
Secure credentials, rotate secrets, and handle provider rate limits.
Run migrations, backups, restores, and dependency updates.
Test the critical journey after every model, API, or hosting change.
Monitor failures and fix the edge cases a first prompt will miss.
Maintain every third-party integration as APIs and OAuth rules change.
Risk
**Operational risk.** The code is achievable; dependable data, integrations, and ongoing operations are the real cost.
Editorial confidence in this assessment: medium. No independent one-shot implementation is linked yet.
Prior art
Working open-source software you can read, fork, or borrow from before starting:
[quill](https://github.com/dremnik/quill) — open-source Granola alternative
[whisper.cpp](https://github.com/ggml-org/whisper.cpp) — local transcription engine
Generated by [Can It Be Vibe Coded?](https://www.canitbevibecoded.com) · Full report: https://www.canitbevibecoded.com/granola
You still own the product
- Secure credentials, rotate secrets, and handle provider rate limits.
- Run migrations, backups, restores, and dependency updates.
- Test the critical journey after every model, API, or hosting change.
- Monitor failures and fix the edge cases a first prompt will miss.
- Maintain every third-party integration as APIs and OAuth rules change.
Open-source prior art
Before you start
Can Granola be vibe coded?
Yes, for personal use. A local recorder plus Whisper transcription plus an LLM note template covers the core personal loop. The paid product is mainly polish, meeting context, sync, and team workflow.
What can an AI coding agent reproduce from Granola?
Record system/mic audio, transcribe with Whisper or a hosted speech API, send transcript plus your rough notes to an LLM, save Markdown notes by date and meeting title. Capture supplied audio, transcribe it, create structured notes, and export them. A responsive interface with real empty, loading, success, and error states.
What will a DIY Granola replacement still be missing?
sync across devices; the mobile app; automatic calendar joins; someone else's servers & support; The last 20 percent is sync, migration fidelity, speed, and edge cases.; Connectors, OAuth flows, and vendor API changes require constant upkeep.
What do I still own after building a Granola alternative?
Secure credentials, rotate secrets, and handle provider rate limits. Run migrations, backups, restores, and dependency updates. Test the critical journey after every model, API, or hosting change. Monitor failures and fix the edge cases a first prompt will miss. Maintain every third-party integration as APIs and OAuth rules change.