This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Go beyond average property prices. MicroParis helps you explore Paris real estate at the neighborhood level. Discover local property prices, analyze market trends, compare neighborhoods, and explore transaction data through interactive analytics. Ask questions in natural language with our AI-powered assistant and gain a deeper understanding of Paris's residential markets, one neighborhood at a time.
I started this project with a simple observation: Paris real estate is often discussed through average prices, but these figures don't tell the whole story.
Two neighboring districts can have very different property prices, transaction activity, market structures, and trends.
I wanted to build a platform that makes these differences easier to explore and understand.
MicroParis brings together public property transaction data, neighborhood-level analytics, market comparisons, and an AI assistant that lets you ask questions in natural language.
It's an independent project, built around one city I'm passionate about: Paris.
I'd love to hear your feedback, especially from people interested in real estate, data analytics, and urban markets.
No comment highlights available yet. Please check back later!
About MicroParis on Product Hunt
“Real Estate Intelligence for Paris Neighborhoods”
MicroParis was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #382 on the daily leaderboard. Go beyond average property prices. MicroParis helps you explore Paris real estate at the neighborhood level. Discover local property prices, analyze market trends, compare neighborhoods, and explore transaction data through interactive analytics. Ask questions in natural language with our AI-powered assistant and gain a deeper understanding of Paris's residential markets, one neighborhood at a time.
MicroParis was featured in Artificial Intelligence (483k followers), Data Visualization (3.7k followers) and Neighborhood (322 followers) on Product Hunt. Together, these topics include over 137.6k products, making this a competitive space to launch in.
Who hunted MicroParis?
MicroParis was hunted by Walid Masrouki. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how MicroParis stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Walid Masrouki
Hi Product Hunt! 👋
I'm the maker behind MicroParis.
I started this project with a simple observation: Paris real estate is often discussed through average prices, but these figures don't tell the whole story.
Two neighboring districts can have very different property prices, transaction activity, market structures, and trends.
I wanted to build a platform that makes these differences easier to explore and understand.
MicroParis brings together public property transaction data, neighborhood-level analytics, market comparisons, and an AI assistant that lets you ask questions in natural language.
It's an independent project, built around one city I'm passionate about: Paris.
I'd love to hear your feedback, especially from people interested in real estate, data analytics, and urban markets.
Thanks for checking it out! 🚀