Scheduling and meetings decision

Livestorm

A small technical team can reproduce a usable webinar workflow (registration, browser-based streaming, chat, recording, replay) for modest audiences, but Livestorm's enterprise-grade compliance, large-attendee scale, polished AI features and extensive integrations are nontrivial to match and justify keeping the paid service for those needs.

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You pay

$2.5/mo

$30/yr

Read off the official pricing page.

You’d pay instead

$50one-off30 h to build

$150/mo8 h/mo upkeep

On cash alone, building overtakes the subscription at 62 seats.

No open-source build does this yet

Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.

What a replacement has to do

  • Create an event registration page, accept registrants, run a browser-based live webinar (audio/video + screen sharing), collect chat/Q&A and polls, record the session and publish replay with basic attendance analytics.

What it still won’t have

  • Enterprise-grade SLA, dedicated Customer Success and VIP support
  • Large-scale attendee capacity and proven global delivery at thousands of attendees
  • ISO 27001 certification, formal GDPR compliance controls and legal assurances
  • Built-in thousands of native integrations and advanced custom analytics
  • Polished AI features (AI Studio, content repurposing, live translations) and turnkey add-ons

What remains hard

  • Compliance and regulationISO 27001 certified
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 62 seats.

Paid seatsseats

Money you would actually spend

Keep paying
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Subscription price × seats × 12

Build it
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AI build —APIs + hosting —

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

Not run yet
Build a minimal self-hosted webinar platform using Node.js + Postgres + React, deploying on a single cloud region. In scope: (1) event registration pages with custom fields and attendee storage in Postgres; (2) browser-based live streaming using an open-source SFU (deploy Jitsi or Janus) with server-side recording saved to S3; (3) in-room chat/Q&A and polls (WebSocket), moderator controls (mute, remove), and role-based session access; (4) email reminder/follow-up workflows using SendGrid with templates; (5) replay hosting with basic attendance analytics and CSV export. Out of scope: global multi-region scaling for thousands of attendees, ISO 27001 certification, advanced AI transcription/repurposing, deep CRM native integrations, and SLA/support. Include error handling, retry logic for recording uploads and emails, logging, basic E2E tests for registration-to-replay flow, and deployment scripts (Terraform or CloudFormation) plus a runbook for incident recovery.
How we checked3 sources · 2/3 runs agreed · evidence score 52

How the score was reached

  • Partly verdict base52
  • 3 cited sources+3
  • Price verified on pricing page+3
  • Hard moats found in the evidence-6
  • Evidence score52

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 · 3

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat quoted from the page