Aiiioli Logo

Your Social Radius, Wherever You Go

Oliver Zhang

Oliver Zhang

Founder

  • Technical & Product Leadership
    • Business Analytics (M.S.), Marketing (B.S.)
    • Full-stack iOS development: Swift, SwiftUI, PostgreSQL, real-time systems
    • Python, SQL, TypeScript, Tableau, Power BI, Product Management, A/B Testing
  • Data-Driven Operations Experience
    • Operations analytics across major metropolitan markets
    • Built dashboards and predictive models for resource optimization
    • Digital marketing, CRM systems, and growth strategy execution

Early Contributors & Advisors

Gregory Page

Gregory Page

Master Lecturer, Boston University

  • MIT (MBA), Harvard (M.Ed.), Stanford (B.A.)
  • Teaches Data Mining & Marketing Analytics at Boston University.
  • Expertise in Machine Learning and E-Commerce applications.
  • Major, U.S. Army Reserve; Iraq/Afghanistan Veteran.
Xin Chen

Xin Chen

Architectural Designer

  • Harvard University (M.Arch II), Carnegie Mellon (B.Arch).
  • Former Teaching Assistant at Harvard's Graduate School of Design.
  • Expertise in design thinking and visual composition.
Shiyun Li

Shiyun Li

SEO & Marketing Analyst

  • Boston College (MBA).
  • Experience driving data-driven marketing for top consumer brands (e.g., Victoria's Secret, CVS).
  • Specializes in SEO, competitor research, and trend forecasting.
Barrett Wong

Barrett Wong

Email Copywriter & Marketing Strategist

  • Boston University (B.S., Business Administration)
  • Experience in copywriting and SEO for tech companies (Neo4j, Cprime).
  • Specializes in crafting compelling user onboarding and brand narratives.

The Problem: A Story of Disconnection

We talk to our neighbors less and less.

Our friend groups are shrinking.

The Solution: Dynamic Proximity Platform

Your Moving Social Layer

  • Instantly broadcast your needs.
  • Visible only to people nearby.
  • Guaranteed visibility and immediate attention from a focused, nearby audience.

Person-Centered Connections

  • Proximity → Easy & Frequent Meetups → Real Friendships.
  • Never miss a potential connection.
  • No labels, no expectations. Just organic relationships.

Location-Agnostic & Context-Aware

At Your Base

Engage with people nearby and build connections that are easy to maintain.

At Base Example 1 At Base Example 2

On The Move

Arrive in a new place, instantly tap into the local scene, and form temporary connections.

On Move Example 1 On Move Example 2
👉 Thesis: Metaverse is Dead? Necessity Platforms and How We Will Dominate Augmented Reality

How We Make Money

Early Stage

75/25

Subscription / Ads

Focus on user value

Growth Stage

52/48

Subscription / Ads

Balanced revenue

Scale Stage

47/53

Subscription / Ads

Advertising scales

Subscription Model

$14.99

per month

Premium Benefits
  • Unlimited posting (vs 5/week)
  • Extended 1-mile radius
  • Ad-free experience
  • Priority visibility algorithm
  • Advanced filtering tools
  • Exclusive badges & customization

Conversion: 5% → 15% as network grows

Hyperlocal Advertising

0.5 Mile Precision

Surgical geographic targeting

Target Categories
  • Campus recruitment & talent acquisition
  • Neighborhood retail & services
  • Cultural & demographic precision
  • Event & venue promotion
  • Real estate & housing
  • Emergency & time-sensitive offers

CPM: $10 → $20 with scale & data

Dual-track revenue model: Subscription provides stable, predictable income while hyperlocal advertising leverages our unique 0.5-mile targeting capability. Unlike broad platforms, we deliver unmatched precision for location-critical campaigns.

Our Growth Playbook

How We Grow

Seeding

High-density hubs (universities, apartment complexes) to establish critical mass in focused geographic areas.

Expansion

Neighborhood-by-neighborhood growth through hyper-contextual events and word-of-mouth referrals.

Scale

Multi-city network effects with premium features and hyperlocal advertising revenue streams.

How Much a User Is Worth

Annual Revenue Per User grows through engagement, premium features, and local advertising monetization

The Architecture of Trust

Foundation: Proximity & Familiarity

  • Shared Spaces
  • Elevator Encounters
  • Lobby Sightings
  • Familiar Strangers

Layer 1: Low-Stakes Utility

  • Borrowing Tools
  • Sharing Food
  • Small Favors
  • Trust-Building

Layer 2: Shared Activities

  • Card Games
  • Yoga Partners
  • Local Outings
  • Connections

Apex: Social Proof & Reputation

  • Optional Profile Linking
  • LinkedIn / Instagram
  • Community Vouching
  • Building Reputation
  • Trust isn't a feature to be verified; it's a relationship to be built.
  • Our product design facilitates this organic process, mirroring how real communities work.
  • We cultivate safety by starting with low-stakes interactions and enabling layered, optional social proof.

Where We Fit in the Market?

Competition Analysis

Platform Their Focus Their Strength Our Edge
Nextdoor Home-based community Established user base Goes where you go
TaskRabbit Paid services only Clear monetization Social + utility mix
Facebook Groups Online communities Massive reach Real-world focus
Meetup Organized events In-person meetings Spontaneous + instant

Key Differentiator: While others anchor to fixed locations or pure transactions, Aiiioli creates a dynamic social layer that moves with you—your personal 0.5-mile radius wherever you go.

View Detailed Analysis & Metrics →

Risk & Mitigation

Network Effects Dependency

Data Point:

87% of social platforms fail to reach critical mass (Kleiner Perkins, 2023)

Our Mitigation:

Utility-first approach ensures value even with low user density. Focus on high-density seeding locations.

Big Tech Competition

Data Point:

Meta launches 1-2 hyperlocal features annually (TechCrunch, 2024)

Our Mitigation:

Mobile-native, privacy-first design. Deep specialization in hyperlocal utility vs broad social features.

Trust & Safety Challenges

Data Point:

78% of users cite safety as top concern for local meetups (Pew Research, 2023)

Our Mitigation:

Multi-layer verification system. Community-based reputation. Integration with existing social proof.

Traction, Ask & Allocation

Current Status

Product
  • • Live on the App Store with full functionality
  • • SwiftUI + Supabase stack for rapid iteration
  • • AI-native development workflow (Claude + Gemini integration)
Traction
  • • Core user loop validated through beta testing
  • • Engaged early adopters providing product feedback
  • • Promising early user engagement signals
Growth
  • • Hyper-targeted micro-ads (Facebook)
  • • Direct engagement in residential hubs
  • • Community seeding in private groups
Team
  • • Founder with full-stack technical capability
  • • Expert advisory network (MIT, Harvard, BU)
  • • Equity-based compensation until funding

The Ask

$200k Pre-Seed Round

Phase 1-2 Execution: Scale from 4k to 20k Users • Prove Monetization ($238k ARR) • Series A Ready

Open to angels & institutions · SAFE preferred, terms flexible

Allocation & Efficiency

Fund Allocation

Capital Efficiency Snapshot

$0.002 Cost per user (at scale) — Supabase backend + efficient architecture
$28 CAC (blended) — Mixed channels: campus + micro-influencers + events
20 months Payback period — $28 CAC ÷ ($16.74 ARPU ÷ 12 months)
50k users Free runway — Minimal infrastructure costs in early phases (leveraging free tiers)

Unit Economics Foundation: All CAC calculations, payback period analysis, and financial projections are built on first-principles math and conservative industry benchmarks.

Capital & Cost Analysis Growth & ARPU Models