Martha Stewart just launched Hint, an AI app for home care

Buying a home is stressful enough, but keeping it from falling apart is a lifelong chore most people are totally unprepared for.

Most homeowners know to swap out a water filter. Far fewer realize that neglecting the dust on your refrigerator coils can be a genuine fire hazard, or know when to flush a water heater before sediment ruins it.

Now, Martha Stewart wants to fix that with artificial intelligence. The lifestyle icon has co-founded Hint, an AI-powered home management app launching on iOS alongside $10 million in fresh funding from Slow Ventures, Tusk Venture Partners, and others.

Martha is reviewing the prompts

Hint didn't start as a digital estate manager. Founded in 2024, the startup initially built software to help homeowners navigate complex decarbonization incentives. When the founders realized that practically nobody has a modern, dedicated tool to manage their house, they pivoted.

CTO Kyle Rush, who previously led engineering at mattress darling Casper and built systems for high-profile political campaigns, made it clear that Stewart isn't just lending her famous face to a marketing campaign. She holds real equity, took no cash investment route, and actively works on product design.

Rush visits Stewart's home roughly twice a week. Whenever the underlying models get facts wrong about soil composition or deliver questionable household advice, Stewart calls it out on the spot.

Under the hood, Hint relies on off-the-shelf commercial APIs rather than custom-trained foundation models. OpenAI powers the core reasoning and document querying, while Google's Gemini handles image recognition for appliances.

Property data meets appliance snapshots

Getting started requires just a street address. Hint pulls public records, local weather history, utilities, and soil data to construct an environmental baseline of the property. It can flag foundation shift risks based on ground composition or calculate how drought trends might impact insurance premiums.

Homeowners can then scan inspection reports, mortgage agreements, and warranty receipts into an encrypted file vault, alongside photos of major appliances.

From there, Hint creates an adaptive maintenance schedule that proactively pushes reminders when it is time to check water well salt or vacuum mechanical coils. A built-in AI chatbot handles ad-hoc inquiries, like calculating kilowatt-hour electricity costs or debating whether to tap a home equity line of credit.

For now, the app is completely free, with no ads or subscriptions. Revenue currently comes from affiliate fees via a network of home service contractors, though Rush insists that commercial layer is firewalled from the AI's actual recommendations.

Why it matters

We think Hint is a prime example of where consumer AI needs to go: abandoning generic chatbot wrappers in favor of hyper-specific vertical contexts.

Instead of asking users to write long prompts about their home, Hint pre-fills the context window with property records, geological data, and appliance specs. For new homeowners staring at a bewildering stack of inspection paperwork, that alone makes the app well worth trying out today for zero cost.

However, the real test lies in execution. Home maintenance is inherently low-frequency and notoriously stubborn. An alert telling you to clean your baseboards often gets swiped away, while an emergency roof leak requires a vetted contractor, not conversational empathy.

Hint plans to monetize through contractor referrals while promising an algorithmic firewall. Keeping AI recommendations genuinely unbiased while leaning on home-service lead generation for cash flow is a notoriously tricky needle to thread.