nowfound

AI · May 22, 2026

Housivity

Creating a world of stress-free property search

What it does

Housivity is the AI-native property discovery platform that turns the chaotic search for a home into an engaging, visual journey. Property shorts feed for immersive scrolling, a conversational AI assistant for instant tailored suggestions, and deep-dive listing profiles, all in one place. Built for modern home seekers and agents who are tired of stitching three different apps together. Our belief: finding a home should feel like a swipe, not a chore. Stop scrolling. Start living.

Does the same job

all alternatives →
  • Houmify2024 · ▲140

    Homeowners' personalized AI assistant

  • ZOYO2023 · ▲311

    AI real estate platform

  • Nobbas Real Estate App2019 · ▲86

    AI-powered, suggestive home swiping & real estate app

  • AI Real Estate Agent - reAlpha2024 · ▲76

    A Super App for Homebuying

  • WM
    We made a photo search engine for homes for sale2025 · ▲71

    We're a small team of 3 engineers, and wanted to make a better way to look for for properties online. Traditional portals (esp. outside of US) are just a bit rubbish for doing anything other than basic searching. So we've: - Created a crawler that reads through estate agents websites to find homes for sale - Parses that through a series of LLMs and other models to understand each home in depth (e.g. floor type, location, total sqft) - Parses every photo through an embeddings vector space so that people can search for whatever they want. Check it out: https://jitty.com Currently…

  • Abodex SpaceMay 2026 · abodex.space · ▲14

    AI property search for Bangalore. No calls, no spam.

More ai this month

the category →
  • I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

    AI · 17d ago · simedw.com

  • Astute585

    Automate your B2B brand going viral, with new media creators

    AI · 18d ago · company-app.joinastute.com

  • Grok Bot547

    AI teammates that you can give real work to

    AI · 25d ago · x.ai

  • Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…

    AI · 27d ago · cactuscompute.com

  • Monid474

    OpenRouter for agent tools

    AI · 6d ago · monid.ai

  • Turn website visitors into qualified pipeline

    AI · 19d ago · clarasdr.ai

Launched alongside, May 2026

the whole month →
  • Brew 905

    Like Claude design for email marketing

    AI · May 2026 · brew.new

  • Parallel agents, diff reviewer, and multi-model comparisons

    Dev tools · May 2026 · kilo.ai

  • StoreClaw805

    Grow your store profits with agents that know how to sell

    AI · May 2026 · storeclaw.ai

  • Give your agent a real number and voice to make calls.

    AI · May 2026 · pollyreach.ai

  • NW

    Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

    Life & fun · May 2026 · github.com

  • FM

    Dev tools · May 2026 · github.com