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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Subscription$2.5/month ✓ verified
Initial build30 hours
Monthly upkeep8 hours + $150
Evidence2/3 runs agree

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 ischeaper in year one.

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

Paid seatsseats

Money you would actually spend

Keep paying

Subscription price × seats × 12

Build it

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