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Roomtone

The right introduction
changes everything.

Kapil Shah, Founder · kapil@roomtone.ai
Company Purpose

Your members are remarkable people.
Most of them never meet each other.
Roomtone fixes that.

Step 01
🎙️
5-min voice interview
Step 02
🤖
In-depth member portrait
Step 03
🤝
Better introductions
Problem

Community Managers are overwhelmed at scale

90%
of introductions are made on gut feel
$2K+
what members pay to be in a curated community
0
existing platforms know if the introductions they made actually worked
Solution

A smarter way to make introductions

01
🎙️
Voice Interview
02
🤖
AI Portrait
03
💡
Intro Suggestions
04
📊
Outcome Tracked
Why Now

The timing has never been better.
Or more obvious.

1
AI can finally understand a person from a short conversation
2
People are paying thousands to be in the right room
3
"Big social" is broken and everyone knows it
Market Size

Operators already pay for tools that don't do this.

TAM
$4.6B
Global community platform market
(Hype Auditor 2025 estimate)
SAM
$680M
Curated paid communities
(≥$500/yr membership · est. 340K globally)
SOM
$34M
Year 5 target
5K communities × $600 ARR = $3M ARR
Roomtone's wedge: operators charging $500+/yr per member who believe the introduction is the product — not a nice-to-have.
Competition

Roomtone focuses on Conversational Chemistry

Member Portraits Intro Suggestions Outcome Tracking Cross-community Intel
Circle / Hivebrite
Mighty Networks Partial
Luma
Manual (spreadsheet)
⬡ Roomtone
Product

Three things leading hosts care about.
We built all of them.

Live
🎙️
Knowing Members Deeply
Member portrait: 5-min voice interview
Archetype is created
Live
💡
Who to Introduce
Introduction engine: Scores every member pair
Track the quality of each introduction
Building
📈
Better Curation Over Time
Matching algorithm: Surfaces patterns across communities
Curate groups based on chemistry · Improves with usage
Business Model

Recurring Revenue with pricing power

Pricing
Starter
Up to 50 members
$49/mo
Community
Up to 200 members
$149/mo
MOST VALUE
Scale
Unlimited + Intelligence
$349/mo
Unit Economics (Target)
Avg. contract value
Community tier
$149/mo
Target CAC
Word-of-mouth + founder-led
<$200
Target LTV (12mo)
75% 6-month retention
$1,600+
LTV : CAC
Target at 50 communities
Defensibility

Data Network Effects & Counter-Positioning

01
Outcome
Recorded
Host logs whether an introduction happened
02
Pattern
Emerges
Roomtone surfaces what member profiles predicted chemistry
03
Algorithm
Sharpens
Matching weights update. Next intros are more accurate.
04
Data
Compounds
After 18 months: labeled outcome data no competitor can quickly replicate.
This loop runs continuously. Competition can copy a feature. They cannot copy 18 months of accumulated data.
Founder Background
Kapil Shah

Kapil Shah

Founder & CEO, Roomtone
COO — KeySkillset
Ran operations for an ed-tech platform. Saw first-hand what operators need and what software they abandon.
Finance Manager — Procter & Gamble
Managed cross-functional teams & oversaw P&L.
Hedge Fund Analyst — Bourne Park Capital
Trained to find signal in noise within financial markets. Now applied to social connectivity.
Financials

Initial Target — 30 paying communities in 2026

Use of Funds
Product & Engineering45%
Matching intelligence, host UX, mobile
Community Acquisition30%
First 30 paying communities
Operations & Infra15%
Supabase, Gemini API, Resend
Reserve / Legal10%
Corp setup, contracts
18-Month Milestones
Q3 2026
10 paying communities · $16K MRR
Q4 2026
30 communities · Intelligence live · $48K MRR
Q1 2027
50 communities · 500+ outcomes logged · moat visible
Q2 2027
Fundraise option at $100K+ MRR
R
Roomtone
The people in existing communities
can change each other's lives.
They just haven't met yet.
Message the Founder
Kapil Shah · kapil@roomtone.ai · roomtone.ai