Preface

Hint is an app that brings artificial intelligence into everyday home care by combining practical technology with hands-on expertise. Launched with involvement from lifestyle icon Martha Stewart, the platform aims to simplify home maintenance, paperwork, and energy-related decisions for homeowners. This article explains what Hint does, how it works, and why Stewart’s active role and the team’s technical background matter. It also covers the app’s features — from creating a home profile using public data to managing documents and appliances — and how it transforms scattered information into actionable recommendations.

Lazy bag

Hint is an AI-driven home-management app co-founded with Martha Stewart that builds a profile of your house, stores documents, and issues proactive maintenance reminders. Key takeaways include document storage and searchable AI assistance, personalized maintenance schedules, and environmental and insurance insights. The app leverages public records and user-uploaded files to offer practical guidance and a simple "home score" to track upkeep.

Main Body

Hint is an AI-powered application designed to help homeowners manage the many tasks, records, and decisions that come with maintaining a property. The company’s launch is notable because Martha Stewart, known for her expertise in home and lifestyle management, is a co-founder and an engaged contributor to the product’s development. According to the startup’s CTO, Stewart is actively involved in reviewing and refining features, branding, and the app’s guidance — not merely a public-facing name. She participates in regular reviews and provides practical corrections and suggestions that shape the app’s outputs.

The startup began in 2024 focused on helping homeowners access decarbonization incentives tied to their properties. During early development, the team recognized a larger opportunity: few comprehensive tools exist that consolidate home-related information, maintenance scheduling, and decision-making assistance in a single place. The product pivoted to become a broader "AI for your home," expanding beyond incentives to cover the full range of home-management needs.

To set up Hint, users enter their home address. The app aggregates public data such as property records, local weather and soil details, and utility information to construct a baseline profile. Homeowners can then upload documents — inspection reports, warranties, mortgage papers, contracts, insurance policies, invoices, and more — which the app stores and makes searchable through an integrated AI assistant. Uploading photos of major appliances lets the app give targeted maintenance advice and step-by-step instructions for common tasks.

The value of this approach is practical and sometimes surprising. Many routine maintenance tasks are overlooked; for example, beyond replacing a refrigerator water filter, some units require periodic coil cleaning to reduce fire risk. Other less obvious chores include flushing a water heater or checking salt levels for a private well. Hint converts these implied responsibilities into explicit reminders by generating a personalized maintenance schedule based on the home’s systems, local environmental factors, and the uploaded documentation. The app sends proactive push notifications so homeowners do not have to remember every detail themselves.

Hint also provides environmental and financial context for home-related decisions. Using aggregated public data and user documents, the app can report on soil conditions that may affect drainage or foundation stability, local air quality, drought and flood risk, and how these variables could influence insurance premiums or energy consumption. The AI assistant can answer both basic queries — for instance, when a specific system was last serviced — and more complex questions such as per-kilowatt-hour energy costs or whether tapping into a HELOC makes sense for a given situation.

Insurance-related guidance is another practical feature. The app can help homeowners evaluate deductibles, identify gaps in coverage, and decide whether filing a claim for a particular repair is advisable. All of this guidance is meant to be tactical and user-centered, combining automated data analysis with Stewart’s domain experience to refine recommendations and language.

On the technical side, Hint’s engineering team draws on commercial AI libraries to power the assistant and uses specialized models for image understanding. The founders have backgrounds in consumer tech and campaign technology, bringing experience in scaling products and building reliable systems. The company has secured funding from several investors to support development and growth. The initial business model keeps the core AI features free, with plans for an optional paid tier for power users who need extra capabilities such as managing multiple properties. The app currently monetizes via affiliate relationships with service providers; the team says these partnerships are segregated from the AI’s recommendation logic to avoid bias.

Users see a concise "home score" that summarizes how well they are maintaining their property, giving a quick indicator of overall status. Beyond the automated schedule, homeowners can add ad hoc tasks — like replacing a window screen or re-caulking trim — and the app will incorporate those tasks into the notification timeline. The iOS app is available at launch without ads or subscription requirements, reflecting the founders’ goal to make home-management tools widely accessible.

In short, Hint aims to centralize home-related knowledge and make upkeep actionable. By combining public records, uploaded documents, image-based appliance recognition, and an AI assistant informed by practical experience, the app seeks to reduce friction in home ownership. With Martha Stewart’s active input and a technically experienced team, the startup positions itself to translate everyday home care into clear, data-driven recommendations that save time and reduce risk for homeowners.

Key Insights Table