CONVERGE

Stop scrolling strangers' reviews. Start following your taste twin.

A taste-based social network for going out.  ·  90,022 venues live across 9 cities in 5 countries.
Jared Keys  ·  Founder  ·  Howard University · Finance · Class of 2027
Pre-seed · Investor Overview · 2026
[email protected]  ·  convergehq.ai
The Problem

Going out is broken — no incumbent knows your taste

Yelp

Strangers' ratings

Shows what 100 anonymous reviewers clicked four stars — not what you'd love.

Google Maps

What's closest

Optimized for proximity and ads, not taste or a night out.

Instagram

Algorithmic popularity

Shows what's viral and who you already follow — not taste-matched discovery.

The Group Chat

Dies before you decide

Five tastes, zero decisions. Same five spots on rotation.

Recommendation quality is a behavioral-data problem, not a ratings problem.
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The Solution

Three layers, one engine — live in the product

Taste archetype reveal
01

Build your taste

A five-step onboarding — city, board, taste scenes, mood, artists. We extract a 9-dimensional taste vector.

→ matched to you
Taste-twin profile
02

Discover your taste twin

A feed and map of people whose vectors mathematically match yours. Follow, save, share.

→ people, not places
The plan arc
03

Plan a night in 60s

Private inputs → a group composite → three identity-coded itineraries. Vote. Ship.

→ an answer becomes a plan
The unifying primitive is the taste vector. Every swipe, follow, plan, and vote sharpens it.
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Why It's Defensible

A behavioral data flywheel

The Flywheel
1
Swipes, saves, follows, real outings
2
A 9-dimensional taste vector per user
3
Cluster discovery — mathematically similar people
4
Follow / save / share with your taste twin
5
More data → sharper vectors → repeat
Why incumbents can't replicate

Yelp / Google

Unit economics are venue advertising, not social-graph density.

Instagram / TikTok

Optimizes for content engagement, not local taste discovery.

Resy / OpenTable

Transactional booking — no behavioral taste-data layer.

By the time an incumbent pivots to a taste graph, the data lead compounds against them.
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Market

A big backdrop — but we size what we can capture

$0T
US dining-out industry (TAM)
Context, not our revenue.
$0B
Serviceable market (SAM)
Discovery-influenced local spend.
~$0K
Revenue per mature city / yr
Bottoms-up, illustrative.
~10 cities ≈ $8M ARR · ~30 cities ≈ $24M ARR (core engines). We never sum engines into one TAM.
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Traction & Roadmap

Shipped and in production — scaling by design

0
venues & events, 9 cities · 5 countries
9-D
taste-vector engine, live
0+
API endpoints · app live on iOS
Early proof — small-scale, pre-marketing
0
saves / 16 boards
0
plans generated
0
real-world outings
0
registered users
Honest status: pre-user-scale. The engine and the inventory are built; the demand side is the work ahead.
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Strategic Beachhead

Why Howard, why now

01

Founder is in the cohort

A Howard finance senior building for how Howard students actually plan nights — inside-out, not an outsider's bet.

02

HBCU density compounds

Tightly-connected social graphs bootstrap the taste flywheel faster from a dense, high-trust cohort.

03

HBCU campuses set culture

Howard's scene shapes taste far beyond its walls — Hampton, Spelman, Morehouse, then beyond.

Beachhead: Howard, August 2026  ·  UCLA follows in September.
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Business Model

One engine, four ways to earn

Live

Consumer affiliate

Ticketmaster, Viator, OpenTable on bookings — wired in production.

Live

B2B venue data

Cluster-save analytics + labeled "Promoted" placement. The lead engine.

Near

Seasonal sponsorship

Brand activations tied to local moments and campus seasons.

Later

Artist agency

Taste-layer for artists — booking & management on venue relationships.

Monetize the supply side — never the taste signal. No pay-to-rank; sponsored is firewalled from organic discovery.
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Team & Advisors

Operators with the exact edges this needs

JK

Jared Keys

Founder & CEO

Howard finance senior; product, strategy, and the AI-assisted codebase.

LD

Lead Developer

In seat since May 2026

Software/SaaS + computer vision. Owns the React Native app + backend. Name shared in diligence.

TB

Talia Balogun

Head of Growth

Acquisition, campus operations, and the student rep program.

CK

Craig Keys

Advisor · Live Nation SVP

Music/nightlife: A&R, venue & talent relationships. (Related-party governed.)

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Why Now

The AI-enabled founder advantage

60–80% cost compression

AI engineering vs. a 2022 consumer-app build — a production stack a small team can own.

Interface unbundling

The knowledge front door is shifting from search to AI chat — attention and habit are up for grabs.

In-person demand peak

Loneliness at public-health levels; a generation craving real connection over more screen time.

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The Ask

Pre-seed round

$0K
Post-money SAFE  ·  $5M valuation cap
Illustrative pre-seed terms — ~10% at close.
Milestones this raise funds
First paying venue accounts
5 HBCU campuses in the network
First sponsored activation live
Validated city-one density economics
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Closing Vision

The taste-data layer for a generation.

Howard first. Then every HBCU. Then every city.
The product is live — web and the App Store. The flywheel is seeding. Converge optimizes for going.
Jared Keys  ·  [email protected]  ·  convergehq.ai
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