TeardownHQ
M

MaidsnBlack

Home Cleaning Tech Driven Platform

Founded 2013HQ USPayments stripeAudience B2CSite maidsinblack.com
MarketplaceB2CSeen on TrustMRR
Data as of 2026-06-09
ARR · est
+29%
$0.00
30d
MRR
$0.00
verified · TrustMRR
Rank
#6
overall

Overview

aggregated · trustmrr + sourced research
TL;DR: MaidsnBlack won by arbitraging the web-marketing skill gap in residential cleaning: instant online booking, a 200% guarantee, and long-tail Google Ads against incumbents who still answered phones, then productized its own booking system into a SaaS.(as of Jun 2026)
Category
Marketplace
Payments
stripe
Audience
B2C
Founded
2013
HQ
Washington, DC, US (serves DC/MD/VA)
Team size
Small ops team
Stage
Bootstrapped/profitable
Total revenue
$22.38M
TeardownHQ rank
#6 Marketplace
Headquarters
Washington, DC, US (serves DC/MD/VA)
Legal entity
Maids in Black
Team size
Small ops team
Stage
Bootstrapped/profitable
Hiring
Cleaning teams (local)
Publicly stated revenue
$15.00M~$15M-$21M+ (founder-stated)

Financials

payment-provider verified · daily
Monthly revenue · verified avg
$83.7K
$226.0K$8942013-022015-042017-062019-082021-102023-122026-022026-05
Monthly revenue · 2013-022026-05
$226.0K$8942013-022015-042017-062019-082021-102023-122026-022026-05
All-time revenue
$22.4M
Trailing 12 mo
$1.0M
Best month
$226.0K
2015-07
Months to $10k-mo
1
first revenue 2013-02
Revenue by year
2013$959.1K
2014$2.0M
2015$2.4M
2016$2.4M
2017$2.4M
2018$2.1M
2019$2.0M
2020$1.4M
2021$1.6M
2022$1.5M
2023$1.2M
2024$1.1M
2025$918.2K
2026$516.9K

Funding & investors

sourced research
Total funding
$450Bootstrapped (started with ~$450)
Investors
None (bootstrapped)
Stage
Bootstrapped/profitable

Traffic & SEO

not yet sourced
Traffic data coming soon

Domain rating, organic keywords, backlinks and channel mix light up once a traffic provider is wired in.

Pricing & monetization

sourced research
Pricing
Flat-fee online booking for residential cleaning; book/pay/rate online.

Competitive landscape

not yet sourced
Competitor set coming soon

A category model places MaidsnBlack against its peers on pricing, take-rate and estimated ARR.

Social & community footprint

company-owned accounts

Company-owned accounts only. We deliberately omit any named individuals.

The TeardownHQ playbook

premium · editorial
TeardownHQ editorial26 min readv1

How the founder built a $22M-lifetime cleaning company without ever cleaning a house

Direct-response marketing skill applied to a fragmented offline category, then the playbook itself sold as software

  • 01Executive Summary
  • 02Part 1: The Product
  • 03Part 2: The Founder
  • 04Part 3: Market & Strategy
  • 05Part 4: Growth & Financials
  • 06Part 5: The Replicable Playbook
  • 07Sources
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Executive Summary

MaidsnBlack (Maids in Black) is not a cleaning company that learned marketing. It is a direct-response marketing operation that rented cleaning labor. The founder, a corporate accountant with a string of failed side projects that each taught one acquisition channel, applied 2011-era internet marketing (long-tail Google Ads, Yelp positioning, local blogger giveaways, instant online booking) to a $17 billion residential cleaning market where 74% of revenue sat with independents who could not build a checkout page [1, 2]. The cleaning itself was subcontracted to existing teams from day one [3]. The wedge was never the clean: it was compressing a phone-call-and-estimate purchase into a 60-second online booking, backed by a 200% guarantee, in a category where the median competitor had no functional website. The company then ran the loop twice: the internal booking system became Launch27, a SaaS sold to thousands of other cleaning businesses [4], which rebranded to Automaid in May 2026 [5].

The numbers behind this are unusually legible because the company's Stripe account is connected to TrustMRR. Local snapshot data [6] shows $22.38 million in cumulative gross charge volume across 149,586 charges since February 2013, a peak month of $226,010 in July 2015, a long decline to roughly $70K-84K per month through 2025, and a sharp re-acceleration to $137,131 in May 2026, up 78% from May 2025. This is gross charge volume, not audited MRR, and we treat it accordingly throughout.

Thesis componentEvidenceConfidenceOperator implication
Wedge: online instant booking + flat pricing in an offline categoryCompany booking flow ("book in 60 seconds", bedroom/bathroom pricing) [7]; 2012 founder interview describing competitors requiring phone estimates [3]High (verified product, self-reported context)Pick a fragmented local service where buying is still a phone call
Distribution: direct-response skill stack incumbents lackedSelf-reported 2,000-3,000 AdWords keywords vs competitors' 10-15; #1 Yelp rank in DC; blogger giveaway with 500% traffic spike [3]Medium (self-reported, internally consistent)The skill gap, not the product, was the moat in 2011-2015
Trust conversion assets: 200% guarantee, background checks, visible phone numberCompany About page (200% guarantee) [8]; 2012 founder interview on designing the guarantee from competitors' 1-star Yelp reviews [3]High (verified on site)Guarantees are cheap when service quality is controllable
Retention engine: recurring cleans by defaultWeekly/bi-weekly/monthly plans with discounts on site [7]; charge data shows 370-650 charges/month on a 13-year-old book [6]High for the product offering; recurring mix inferred, not confirmedRecurring scheduling is the LTV multiplier in home services
Second loop: productize the playbookLaunch27 founded 2013 out of the internal booking tool [5]; PR Newswire confirms rebrand to Automaid, May 2026 [5]; maidsinblack.com still runs customer login on a launch27.com subdomain [8]High (verified)Your internal tooling is a second company if the category is fragmented
Decay: the playbook commoditizedCharge count fell from 17,525 (2016) to 5,719 (2024) as "remote cleaning business" courses proliferated [9] and home-services CPCs rose for 75% of businesses [10]Medium (local TrustMRR data + third-party estimates, causal link inferred)Teaching your playbook publicly recruits your future competitors

What a buyer of this teardown should take away: the company demonstrates the most repeatable pattern in local services, which is acquiring demand with skills from a different industry, fulfilling with other people's labor, and keeping the customer on a recurring schedule. It also demonstrates the pattern's half-life. When the skill gap closes, gross volume halves, and the only durable assets left are the recurring customer base, the review moat, and whatever software you built along the way.

6 more sections: the full teardown, sourced and dated.

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