Can Loom be vibe coded?
Async screen recording with instant hosting, transcripts, and team sharing
Local screen recording is easy, but instant hosting, permissions, viewer analytics, comments, trimming, and team libraries push it well beyond the core.
Jump to the build brief ↓Checked Jul 2026
What you pay today, before any DIY hosting
high 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 screen and camera, encode video, upload to storage, generate transcript/summary, and serve a share page.
- Build a focused single-user workflow with real persistence, search, and export.
- A responsive interface with real empty, loading, success, and error states.
The parts a prompt cannot buy
- instant reliable hosting
- permissions
- comments
- analytics
- Reliability at the vendor's scale is an operations problem, not a prompt.
- Permissions, presence, and shared workflows are difficult to simplify.
Why people still pay
They pay because a Loom link works everywhere and preserves context for the team.
Reliability at the vendor's scale is an operations problem, not a prompt.
Permissions, presence, and shared workflows are difficult to simplify.
The last 20 percent is sync, migration fidelity, speed, and edge cases.
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 Loom
Context
**Loom** — Async screen recording with instant hosting, transcripts, and team sharing. It currently costs $18/mo.
Local screen recording is easy, but instant hosting, permissions, viewer analytics, comments, trimming, and team libraries push it well beyond the core.
This brief describes a focused, single-operator replacement for the part of Loom 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 screen and camera, encode video, upload to storage, generate transcript/summary, and serve a share page.
Build a focused single-user workflow with real persistence, search, and export.
A responsive interface with real empty, loading, success, and error states.
Requirements
Functional
Ffmpeg.
Object storage.
Hosted app.
Auth.
Data and integrations
Screen capture API.
Optional transcription API.
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 screen-record-and-share tool to replace Loom on macOS. Requirements:
Two parts: a local recording CLI and a share server on my own VPS.
Recording: `rec start` / `rec stop` wrapping ffmpeg's avfoundation capture,
screen plus mic, saved to ~/Recordings/YYYY-MM-DD-HHMM.mp4. No camera bubble.
On stop: transcode to web-friendly H.264, transcribe with whisper.cpp, then
upload video and transcript to the server with rsync over SSH.
The server (Node + Express + better-sqlite3 behind my existing reverse proxy)
serves each recording at an unguessable /v/<random-id> URL: player, title, date,
and the transcript below it, searchable in-page.
`rec stop` ends by printing the share URL and copying it to my clipboard. Target:
under a minute from stop to link for a 2-minute video.
The index page listing all recordings stays private (localhost or VPN only); the
share pages are link-only, no listing anywhere. No accounts, no telemetry.
Out of scope: viewer analytics, comments, trimming, and team libraries. The
unlisted URL is the entire permission model.
README: macOS screen-recording and mic permissions, finding the right ffmpeg
device index, and the server deploy steps.
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:
Instant reliable hosting.
Permissions.
Comments.
Analytics.
Reliability at the vendor's scale is an operations problem, not a prompt.
Permissions, presence, and shared workflows are difficult to simplify.
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.
Risk
**Operational risk.** The code is achievable; dependable data, integrations, and ongoing operations are the real cost.
Editorial confidence in this assessment: high. No independent one-shot implementation is linked yet.
Prior art
Working open-source software you can read, fork, or borrow from before starting:
[OBS Studio](https://github.com/obsproject/obs-studio) — Excellent open-source recording engine; hosting/sharing remains the DIY gap
Generated by [Can It Be Vibe Coded?](https://www.canitbevibecoded.com) · Full report: https://www.canitbevibecoded.com/loom
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.
Open-source prior art
Before you start
Can Loom be vibe coded?
Partly, if you narrow it. Local screen recording is easy, but instant hosting, permissions, viewer analytics, comments, trimming, and team libraries push it well beyond the core.
What can an AI coding agent reproduce from Loom?
Record screen and camera, encode video, upload to storage, generate transcript/summary, and serve a share page. Build a focused single-user workflow with real persistence, search, and export. A responsive interface with real empty, loading, success, and error states.
What will a DIY Loom replacement still be missing?
instant reliable hosting; permissions; comments; analytics; Reliability at the vendor's scale is an operations problem, not a prompt.; Permissions, presence, and shared workflows are difficult to simplify.
What do I still own after building a Loom 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.