Bookedin
MRRdeals Score · 38/100BookedIn ai is a no-code AI platform agencies use to create and manage AI receptionists and sales agents across voice, SMS, email, and messaging apps like Instagram. These agents can instantly engage
What this SaaS is
No-code AI platform for agencies to create and manage AI receptionists and sales agents.
- AI receptionists
- Sales agents
- No-code platform
- Multi-channel support
- Founded <12mo ago— Less than 12 months of operating history. Retention is unproven.
- No active customers— Zero customers reported. Hard to model retention or growth.
- Single acquisition channel— All customers come from one acquisition channel. Pull the plug and revenue dies.
Numbers that matter
Score breakdown
How the composite score above splits across seven independent signals. Each axis is graded 0-100. Hover for details.
Payback period, asking price vs category median multiple, and 30-day profit margin.
30-day MRR delta, with a small bonus when historical snapshots confirm a sustained climb.
Revenue per visitor, customer count, plus live-site UX signals (pricing reachability, core pages, copyright freshness).
AI-disruption risk, presence on review platforms (G2, ProductHunt, AppSumo…), penalty when built on no-code rails.
Diversity of marketing channels, Merchant-of-Record status, cofounder count. Solo founders and no-code stacks get docked.
Listing freshness, payment provider trust, business age, customer concentration. Higher score = less risky.
Structured market read across TAM, saturation, 3-year trend, and hype cycle, blended with our category momentum signal.
Market read
- TAMmid
The market for AI receptionists is mid-sized, appealing to various agencies.
- Saturationgrowing
The niche is growing as more agencies adopt AI solutions for lead conversion.
- 3y trendgrowing
Interest in AI-driven sales tools has been increasing over the past three years.
- AI disruptionvulnerable
The product could be vulnerable as similar solutions can be developed quickly by solo developers.
- Hype cycleearly
The concept is still early in its adoption phase, with potential for growth.
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