• Live on iOS & Android · Seeking $300K SAFE

The job swap engine for the 45M closed-job market.

Millions of workers commute past each other every day, doing the same job at different locations. SwitcherHub is the AI network that anonymously matches them for a swap — same role, same pay, shorter drive.
Talk to founders
See how it works
  • 01 · The Problem

The real labor market is invisible.

Job boards show open roles. But most workers sit in roles that are already occupied — and never indexed anywhere.
1

Long commutes are a hidden tax

Workers spend 45–90 minutes a day commuting — because the same job closer to home is never visible.

2

The real market is invisible

Job boards show only open positions. The occupied roles — where the real workforce lives — never appear.

3

Commute kills time & money

250–400 hours lost per year. $2,000–$4,000 in costs. Family time, rest, safety — all eroded.

4

No way to exchange workplaces

Workers in identical roles pass each other on the highway — with no mechanism to swap.

Worker pain

6–10

full work weeks lost to commuting every year

$2–4K

spent annually in commute costs alone

Employer pain

$3,500

cost of each replacement: hiring, onboarding, lost productivity

#1

reason frontline workers quit — not the job, the commute

  • 02 · The Solution

A swap engine for the closed-job market.

Not a job board. Not staffing. SwitcherHub redistributes workers across companies by unlocking mobility inside already-occupied roles.

For workers

We reduce commute time by matching workers with identical roles closer to home.

Not by job searching — but by swapping positions with someone in a nearby location who wants the opposite commute.

  • Same job
  • Same pay
  • Shorter distance
  • Fully anonymous until HR approval

They don’t browse jobs. They get matched for a closer one.

For employers

We reduce avoidable churn by enabling symmetric workforce swaps across companies.
Employers gain:
  • Lower turnover costs ($6,000–$12,000 saved per swap)
  • More stable staffing across locations
  • Improved retention without increasing pay
  • Zero disruption no new hiring, no training

We keep employees in their roles just at the right location.

SwitcherHub redistributes frontline workers across companies by unlocking mobility inside already-occupied roles.
  • Not hiring
  • Not staffing
  • Pure retention infrastructure
  • 03 · How it works

Powered by AI. Finished in one click.

01

Worker creates a workplace profile

Job location, home, desired commute. Anonymous. No resume. No job search.

02

AI identifies a symmetric swap

Optimal match, commute before/after, minutes saved, confidence score.

03

HR approves in one click

Employers review two anonymous profiles and commute impact. Approve.

04

Swap completed

Worker keeps the same role — closer to home. Employer prevents churn with zero hiring.

  • Worker join
  • ⇒
  • increases local liquidity
  • ⇒
  • more matches
  • ⇒
  • higher employer trust
  • ⇒
  • more workers
  • 04 · Market size

The closed-job market is 22× larger than what HR tech sees today.

Open positions are a sliver. SwitcherHub operates in the largest untapped labor market in the US — already-filled roles no system indexes.
TAM
45M

frontline workers (US)

Occupied roles, currently invisible to HR tech.

SAM
30–35M

interchangeable roles

Multi-location employers: retail, QSR, logistics, healthcare support.

SOM
12–15M

long-commute workers

30–60+ minute commutes. The strongest demand for symmetric swaps.

Beachhead
147K

Florida frontline

Dense clusters, heavy commutes, multi-location employers. Ideal first market.

Business Segment

Multi-Location Employers With Interchangeable Roles

Retail chains

4M+ US locations. Walmart (5,000), Target (1,900), Home Depot (2,200), Lowe’s (2,000).

Grocery & pharmacy

Kroger (2,800), Publix (1,438), Walgreens (8,250), CVS (9,000).

Food service & QSR

750K restaurants. McDonald’s (14,300), Subway (19,573), Starbucks (15,800).

Logistics & warehousing

Amazon fulfillment centers, USPS sorting, FedEx / UPS hubs.

Hospitality

168 chains · 40,000 hotels across the US.

These employers operate millions of identical roles across nearby locations — the perfect environment for symmetric job swaps.

  • 05 · Competitive landscape

Not a job board — workforce redistribution infrastructure.

Every existing player looks at open roles. SwitcherHub looks at everything else.

Job boards

Indeed · ZipRecruiter · LinkedIn

  • Only show open roles
  • No commute optimization
  • Cannot match across companies
  • Not built for swaps

We operate in the part of the market HR tech never sees.

Internal transfer tools

Workday · UKG · SAP

  • Work only inside one company
  • No cross-employer matching
  • No anonymity layer
  • No commute logic

We unlock mobility between companies.

Staffing & recruiters

Agencies · headhunters

  • Focus on hiring, not retention
  • High cost per placement
  • No commute optimization
  • No symmetric matching

We reduce churn, not source new candidates.

  • 06 · Revenue model

$150 per successful swap.

Charged only after HR approval. 15-day performance guarantee. Zero cost for workers. Replaces a $6–12K turnover cost with a $150 fee.

Core Pricing

  • Paid by employer
  • Charged only after HR approval
  • 15-day performance guarantee

Why This Model Works

  • No subscription fatigue
  • No paywalls blocking adoption
  • Zero cost for workers
  • Clear ROI for employers ($6,000–$12,000 saved per prevented churn)

Why these numbers are realistic

  • 40–45M frontline workers
  • ~30M in interchangeable roles
  • ~12–15M with long commutes
  • Swap rates of 1–2% are conservative relative to shown need

Annual Revenue at Scale

Based on U.S. workforce mobility patterns:

Swaps / yearRevenue
135,000$40.5M
270,000$81M
405,000$121.5M
540,000$162M
High-margin, event-based revenue tied to retention — not hiring.
  • 07 · Traction

The product is live. Demand is organic.

Shipped

iOS + Android

MVP is live in both app stores. Workers can create profiles, receive anonymous matches, review commute savings, and send matches to HR.

Organic signups · 2 weeks

500+

Achieved with almost no paid advertising. Validates natural demand — workers want this when friction is low.

Ready for pilot

Live infra

Matching engine functional. HR approval dashboard deployed. Link-based employer flow operational. No longer theoretical.

  • 08 · Use of funds

$300K SAFE — focused on match liquidity.

Liquidity is the only thing that matters for unlocking revenue in a swap-based model. Funding is deployed accordingly.
50–70k

AI Matching Engine & HR Dashboard

Core algorithm, commute optimization, anonymity, HR approval & payments.
160–190k

Worker Acquisition & Liquidity Marketing

Hyper-local GEO campaigns, field activation, cluster onboarding.
 Goal: 20,000 workers in swap-dense zones → predictable match flow.
40–50k

Operations (Lean Team)

Match validation, HR coordination, data feedback loop

  • 09 · Team

Operators who've built before.

Maksym Palamarchuk

Serial entrepreneur · CEO & Co-founder, JMD Global

Alexander Serdyuk

CTO & Co-founder · architect of SwitcherHub matching engine

Contact us

If you have questions regarding the provided presentations please contact us