Cal.com
Relevance AI
| Feature | Relevance AI | |
|---|---|---|
| Pricing | Free / from $12/mo | Free / from $199/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.4 / 5 | 4.2 / 5 |
| Best For | developers, startups, agencies, privacy-conscious-teams | operations-teams, sales-teams, agencies, business-analysts |
| Founded | 2021 | 2020 |
| Scheduling | ✓ | ✓ |
| Self Hosting | ✓ | ✗ |
| Api | ✓ | ✗ |
| Webhooks | ✓ | ✗ |
| Round Robin | ✓ | ✗ |
| Collective Scheduling | ✓ | ✗ |
| Embed | ✓ | ✗ |
| Agent Builder | ✗ | ✓ |
| Tool Steps | ✗ | ✓ |
| Knowledge Base | ✗ | ✓ |
| Integrations | ✗ | ✓ |
| Analytics | ✗ | ✓ |
✓ Cal.com Pros
- Open-source and self-hostable
- Unlimited event types on free plan
- Full API and webhook access
- White-label and embed options
✗ Cal.com Cons
- Self-hosting requires technical setup
- Fewer integrations than Calendly
- UI less polished than Calendly
✓ Relevance AI Pros
- No-code agent builder
- Pre-built agent templates
- Multi-step tool chains
- Team management for AI agents
✗ Relevance AI Cons
- Expensive for heavy usage
- Complex agents need iteration
- Limited LLM provider choices
The Verdict
Cal.com is built for developers and startups, with a focus on scheduling and self-hosting. Relevance AI targets operations teams and sales teams and leads with agent-builder and tool-steps.
On pricing, Cal.com is the clear winner for budget-conscious users — starting at $12/mo compared to $199/mo for Relevance AI. That $187/mo difference adds up quickly for growing teams.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, Cal.com offers broader built-in capabilities (7 features vs 6), while Relevance AI takes a more focused approach — which can mean a simpler, faster onboarding experience.
Both tools are a solid fit for agencies — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.