Robby targets 2.5M+ home repair businesses still running on sticky notes – the tech bar is low, but the revenue opportunity is anything but.
ENTRY ANGLES
AI tools for home services technicians using standard smartphones · AI-powered solutions targeting old-school operational processes in service companies · Simple AI features integrated into existing technician workflows
VERTICALS
CAPABILITIES
AI/machine learning development, Mobile app development for field technicians, Understanding of home services operations and pain points
ROBBY FOUNDER
“turn every technician visit into revenue.”
Robby promises home services companies a simple proposition: "turn every technician visit into revenue."
On the surface, every service call already generates revenue. In practice, it's more complicated than that.
Technicians who show up without the right parts or information can't complete the job – they return one or two more times, burning time that could have gone to a different customer. That's lost revenue.
Then there's the upside: once a technician is inside a home, there's a natural opportunity to spot other things that need fixing – work the company could do itself or hand off to a colleague. Additional revenue the company might never see otherwise.
As the startup puts it: the biggest opportunities to earn (or save) money are right there in the customer's home – but not every technician capitalizes on them. Not out of negligence, but because technicians forget things before and after visits, or don't pass the right information back to the office for future reference.
Robby is a personal AI assistant for technicians, available at every stage of the job:
- Before a visit: Robby reviews the job details and reminds the technician what the problem is, which tools and materials to bring, and what to check so there's no need for a return trip.
- During a visit: Robby answers technical questions about diagnosis and repairs, and prompts the technician on what else to look at or ask about – creating an opening for additional work.
- After a visit: Robby files the job report, captures the technician's notes, and schedules follow-up actions (finish this, verify that, service the other thing), pushing everything to the office and syncing to connected databases automatically.
Even in this basic form, Robby reportedly generates an additional $135,000 in revenue per technician per year and reduces the rate of repeat visits within a single job by 15%.
Robby is currently in Y Combinator and published its platform announcement on the YC blog a few days ago. Despite the early stage, the startup already has paying customers from what it describes as "leading service companies"
The home services market is enormous. The US alone has more than 2.5 million companies operating across different categories of residential repair and maintenance. The vast majority are small – which means they typically lack the time, bandwidth, and systems to manage field operations well.
That's exactly why tools as straightforward as Robby can have outsized impact. "Simple" is a surface-level description; under the hood, these platforms involve meaningful AI capability.
The broader trend is clear: applying AI to solve practical, concrete problems in the massive home services market. Several startups have already moved into this space with distinct angles.
Elyos ([related review](/review/sotni-tysjach-kompanij-u-kotoryh-ii-ne-otberjot-rabotu)) raised £9.7M (roughly $13M) in January for a platform running six separate AI agents – from a field technician assistant to a company-wide scheduling agent.
Cactus ([related review](/review/sjuda-eshhjo-mozhno-uspet)) went through Y Combinator with an AI agent for self-employed service workers that answered calls and scheduled appointments. After pivoting to focus specifically on home repair technicians, it raised $7M shortly after in November.
WorkHero ([related review](/review/prodavaj-vot-takoj-servis-vmesto-it-platformy)) targets HVAC companies specifically, offering outsourced office management – real human office managers who handle inbound calls, technician scheduling, and admin tasks, operating with AI tools developed by the startup. WorkHero raised $5M in its first round last October.
Siro ([related review](/review/smotri-ka-ved-takie-prodazhi-tozhe-nuzhno-uluchshat)) started as an AI coaching tool for phone sales before pivoting to home services, after which it raised $50M. The current product listens to field conversations between technicians or salespeople and customers, then provides coaching feedback afterward on what could have gone better.
XOi ([related review](/review/tema-v-kotoroj-mozhno-i-horosho-zarabatyvat-i-horosho-prodatsja)) raised $200M in a single round last February for an app that lets technicians photograph an equipment nameplate and receive a step-by-step diagnostic guide, followed by a step-by-step repair guide.
Given the momentum, the direction is obvious: build AI tools for home services companies and their technicians.
But the key word is "simple." XOi's original product was smart glasses for technicians. It raised $200M only after it gave up on the glasses and put its technology inside a standard smartphone.
So: what simple AI tool for service companies or technicians could you build?
The appeal of this moment is that most of these companies still operate with old-school processes. Almost any AI tool you introduce is likely to deliver meaningful value. The job is just finding the right entry point.