Miguel Ángel
121cdd2d9f
Studio-triggered renders emit render_complete / render_error from the CLI preview-server process, which stamps every event with the install's anonymousId (client.ts drainQueueToPayload). The browser, meanwhile, fires studio_session_start / studio_render_start under its own getAnonymousId(). So the render outcome and the render start never share a person_id — verified in data: of 15,125 users who started a studio render in 30d, ZERO have any render_complete under any source, and the 898 studio-tagged completers are disjoint server UUIDs. The studio render funnel — the product's core value moment and strongest retention signal — is therefore unmeasurable. Thread the browser's telemetry id through to the render-outcome events: - client.ts: trackEvent takes an optional distinctId; drainQueueToPayload uses `event.distinctId ?? config.anonymousId`. CLI renders unchanged. - events.ts: trackRenderComplete/trackRenderError forward an optional distinctId. - studioRenderTelemetry.ts: emitStudioRender* pass opts.distinctId through. - core studio-api (types.ts + routes/render.ts): the render route reads `telemetryDistinctId` from the request body (validated string) and passes it to the adapter's startRender, which already forwards opts to the emitters. - studio (useRenderQueue.ts): include getAnonymousId() as telemetryDistinctId in the render POST — the same id studio_* events already use. Result: studio render_complete/error now carry the browser user's id and join studio_session_start / studio_render_start. Older clients that don't send the field fall back to anonymousId (no regression). No new tracking surface — it's the existing anonymous studio id. Tests: per-event override forwarding (events), studio render distinctId threading + older-client fallback (studioRenderTelemetry), and route body → adapter forwarding incl. non-string rejection (core render route).
hyperframes
CLI for creating, previewing, and rendering HTML video compositions.
Install
npm install -g hyperframes
Or use directly with npx:
npx hyperframes <command>
Requirements: Node.js >= 22, FFmpeg
Commands
init
Scaffold a new Hyperframes project from a template:
npx hyperframes init my-video
cd my-video
preview
Start the live preview studio in your browser:
npx hyperframes preview
# Studio running at http://localhost:3002
npx hyperframes preview --port 4567
render
Render a composition to MP4:
npx hyperframes render ./my-composition.html -o output.mp4
lint
Validate your Hyperframes HTML:
npx hyperframes lint ./my-composition
npx hyperframes lint ./my-composition --json # JSON output for CI/tooling
npx hyperframes lint ./my-composition --verbose # Include info-level findings
By default only errors and warnings are shown. Use --verbose to also display informational findings (e.g., external script dependency notices). Use --json for machine-readable output with errorCount, warningCount, infoCount, and a findings array.
compositions
List compositions found in the current project:
npx hyperframes compositions
benchmark
Run rendering benchmarks:
npx hyperframes benchmark ./my-composition.html
doctor
Check your environment for required dependencies (Chrome, FFmpeg, Node.js):
npx hyperframes doctor
browser
Manage the bundled Chrome/Chromium installation:
npx hyperframes browser
info
Print version and environment info:
npx hyperframes info
docs
Open the documentation in your browser:
npx hyperframes docs
upgrade
Check for updates and show upgrade instructions:
npx hyperframes upgrade
npx hyperframes upgrade --check --json # machine-readable for agents
Documentation
Full documentation: hyperframes.heygen.com/packages/cli
Related packages
@hyperframes/core— types, parsers, frame adapters@hyperframes/engine— rendering engine@hyperframes/producer— render pipeline@hyperframes/studio— composition editor UI