Most early-stage service + SaaS hybrids fail because they lack documented systems or rely on founders to execute everything manually.We have eliminated this risk through: • 300+ SOPs, checklists, workflows, and documents already created • Full membership program frameworks (ECC/ACE/LEAP) • 45 training courses fully developed • Complete operator tools, onboarding flows, and performance systems • Automation-ready architecture • Pre-built digital assets (templates, scripts, calculators, etc.) We are not “figuring out the model.”The model is built.Operators and platform modules plug into a system that already exists.
Instead of over-engineering a fragile custom platform, 1Stroke OS uses: • Supabase (Postgres + RLS) — stable, scalable, enterprise-grade • Lovable.dev — rapid build, battle-tested • Relevance AI / Make.com — automation layer • Stripe — payments • Resend — transactional email • Jobber integration optional This architecture: • minimizes custom dev risks • keeps engineering costs low • accelerates speed to market • provides clean server-side logic control • protects proprietary formulas through edge functions We avoid the #1 killer of vertical SaaS startups: expensive, slow, unmaintainable custom software.
This is not theory.Lightmen Painting has already: • sold painting services successfully • generated organic leads • validated membership demand • run field teams • executed production systems • proven the need for better tools • built brand credibility • tested early-stage operator concepts The market pull is real.We’re scaling a model that has been proven inside the industry.
We have six acquisition channels already built: 1. SEO blog engine (150+ articles built + ongoing) 2. Cold email system (ServiceMail) 3. Door-to-door canvassing framework 4. Membership programs (recurring revenue engine) 5. Operator networks (scale via partners, not payroll) 6. Digital asset sales (instant revenue streams) No single channel determines success.This eliminates platform dependency risk.
We have five distinct revenue streams, each validated: 1. SaaS (1Stroke OS) 2. Membership programs (ECC, ACE, LEAP) 3. Operator profit share 4. Digital assets and courses 5. Direct service revenue (local operations) If one line underperforms, the business still accelerates. We are not a single-revenue startup.
Traditional service companies fail to scale because: • hiring is slow • training is inconsistent • management overhead grows • turnover kills margins Our operator system: • removes payroll bottlenecks • reduces onboarding time • decentralizes execution • keeps liability low • allows rapid geographic expansion This is franchising without the friction — meaning no franchise legal overhead, no massive onboarding costs, and no payroll drag.
We fully protect IP through: • Non-equity operator structure • Mandatory IP assignment agreements • NDA + non-compete + non-solicitation contracts • Entire formula logic kept server-side • No operators or contractors touch core logic • Brand and system licensing controlled centrally Our playbooks, pricing models, formulas, and systems cannot be copied by operators or employees.
No competitor currently offers: • SaaS • operator licensing • membership programs • full training center • 300+ SOPs • digital asset ecosystem Most are: • CRM tools • basic painting software • generic franchise systems • DIY courses Our moat is the full stack, not one feature.And because our system is built, we move faster than competitors who haven’t started.
We do not need millions to scale. $165K funds: • platform • operators • membership program launch • SEO engine • GTM rollout • automations We avoid: • salaried engineering team • bloated staff • expensive burn • long development cycles This is a scrappy, efficient use of capital with fast revenue activation.
You are not an outsider founder. You have: • years in the industry • proven demand • actual production experience • operational expertise • marketing skill • early traction • a built brand • a system already functioning Founders who understand the problem from the inside drastically reduce execution risk.
We intentionally: • expanded operator rollout only in states with no painting license • built compliant membership contracts • created operator revenue systems that avoid franchise classification • drafted NDAs, IP agreements, and non-competes • structured the operator model as DBA licensing, not equity or employment This removes the most common legal pitfalls.
We have reduced risk across execution, technical development, customer acquisition, retention, revenue, market entry, and legal exposure. This is not a typical pre-seed startup still proving its model. We’ve already: • validated the need • built the systems • built the IP • defined the operator structure • defined the revenue engine • built hundreds of assets • established real-world traction The capital now accelerates scale — not discovery. We’re not raising to figure things out. We’re raising to expand what already works.