Homeowners track everything from daily steps to stock portfolios on their phones, but domestic upkeep remains stuck in paper folders and forgotten reminders. Hint wants to change that. Launched on July 29, 2026, the free iOS application combines public records, localized soil data, document parsing, and computer vision to turn physical property care into an automated operating system. What makes the platform stand out isn't just its $10 million seed round or dual-engine AI architecture—it’s the active involvement of lifestyle icon Martha Stewart, who serves as an equity co-founder rather than a paid spokesperson.
Martha Stewart’s Hands-On Role in Model Validation
Stewart isn't just licensing her name for marketing assets. According to co-founder and Chief Technology Officer Kyle Rush, Stewart holds a substantial equity stake and meets with the technical team twice weekly at her home. During these sessions, she tests the application's diagnostic output directly against her decades of estate management experience. When the underlying model makes an incorrect call about soil quality or misjudges routine maintenance, Stewart flags the error so engineers can refine the instructions.
That practical domain knowledge directly informs Hint’s operational logic, language, and design. Rush, who previously led engineering at mattress brand Casper during its rapid scaling phase, served as CTO at online retailer Maisonette, and built campaign technology for Barack Obama and Hillary Clinton, directs technical development out of New York. Meanwhile, co-founder and Chief Executive Officer Yih-Han Ma—formerly Senior Vice President and General Manager at Red Ventures—manages operational strategy from Charlotte, North Carolina.
From Decarbonization Software to Total Property Intelligence
The company didn't start with a broad mandate for residential operations. Founded in 2024, the startup originally built software to help property owners navigate federal and local energy decarbonization incentives. But as the team tested early prototypes, they hit a glaring structural gap: while consumers use specialized apps for personal health, vehicle maintenance, and wealth management, no single platform existed to manage physical housing assets.
That realization triggered a fast strategic pivot. The founders renamed the venture Hint—a brand combining the "H" from "home" with "intelligence." They expanded the software beyond energy retrofits to handle complete home lifecycle management. Today, the platform bridges the gap between static file storage and continuous domestic maintenance, aligning with broader shifts in agentic commerce.
Ingesting Soil Data, Weather Risks, and Home Records
Getting started on Hint begins with entering a street address. From that single prompt, the platform pulls public property records, climate patterns, regional air quality data, utility metrics, and localized soil characteristics to construct a detailed digital profile of the residence.
This contextual dataset highlights physical risks around the home. Soil composition analysis beneath a foundation exposes early drainage issues or settlement risks before structural cracking starts. Regional climate indices and drought data warn homeowners about potential flood hazards, energy consumption spikes, or shifts in insurance pricing reported by TechCrunch.
Homeowners can also upload paper documents directly to the platform—including home inspection reports, warranties, mortgage contracts, contractor estimates, insurance policies, and historical energy bills. Hint’s integrated chatbot lets users query these files directly. Owners can ask simple factual questions, such as when an air conditioner was last serviced, or evaluate complex financial moves, such as whether securing a Home Equity Line of Credit (HELOC) makes sense based on their current equity.
Computer Vision and Proactive Maintenance Workflows
Beyond text parsing, Hint uses visual model recognition to manage physical appliances. Homeowners photograph major household equipment, and the app processes the images to generate operating steps and custom upkeep plans.
Many home repairs stem from simple oversight. While most people remember to replace refrigerator water filters, few realize that vacuuming condenser coils is essential for preventing fire hazards and motor strain. Checking salt levels in home wells or flushing water heaters are similarly neglected. Hint addresses this by building personalized maintenance schedules that push proactive notifications based on structural needs, system age, and seasonal shifts.
The software assigns each property a numerical "home score" to give owners an at-a-glance evaluation of their maintenance habits. Users can also enter custom one-off tasks, such as replacing a damaged window screen or re-caulking baseboards, ensuring no repair falls through the cracks.
Decoding Home Insurance Policies and Utility Expenses
Deciphering home insurance coverage and utility bills is notoriously frustrating. Hint's conversational model parses complex policy documents to spot missing coverage, review deductible limits, and advise whether filing a repair claim could trigger rate increases or non-renewal.
By matching estimated repair bills against deductible thresholds, the assistant helps homeowners avoid filing small claims that compromise long-term coverage. The system also monitors energy expenses, allowing users to verify their exact cost per kilowatt-hour for electricity and benchmark seasonal usage spikes against local averages.
Dual-AI Tech Stack, $10M Seed Capital, and Unbiased Advice
Under the hood, Hint operates a dual-model architecture. It relies on OpenAI's foundation models for complex text reasoning and document parsing, alongside Google's Gemini models for visual inspection of appliances and paper files.
To fund software engineering and national distribution, Hint raised $10 million in seed financing. Investors include Montauk Capital, Brian Kelly (founder of The Points Guy), Slow Ventures, Tusk Venture Partners, Energy Impact Partners, Amplo VC, and Hannah Grey.
The iOS app is free to download without ads or subscription paywalls. Hint earns affiliate revenue through a network of verified service contractors. Rush emphasizes that this revenue stream is strictly firewalled from the core AI engine: referral algorithms cannot prioritize affiliate partners, ensuring unbiased home advice. Moving forward, the team plans to maintain a free tier for primary homes while introducing a paid subscription tier for multi-property managers and power users.
