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ARVnote
Run AI comp reports on any US address before you offer
Type any US address and ARVnote builds the comp report in less than a couple of minutes. The AI searches recent sales, ranks the six best comps on proximity, size, recency, condition, then adjusts each for square footage, lot, beds, baths, garage and pool the way an appraiser would, showing every one. You get an ARV, a confidence score, and the reasoning for both. Deal math is on the same page: wholesale MAO, flip projections, BRRRR, an AI repair estimator. Works in non-disclosure states.
Hi I built ARVnote, it turns any US address into a comp report with an ARV in less than a couple of minutes.
I built it because pulling comps by hand is the slowest part of underwriting and the part you end up least sure about. You scroll Zillow deciding which sales count, average a few of them, and the number you walk into a negotiation with has nothing behind it.
So the AI does the picking. It searches recent sales, ranks the six best comps on proximity, size, recency and condition, then adjusts each one for square footage, lot size, beds, baths, garage and pool the way an appraiser would. Every adjustment is on the page instead of folded into one number, and you get an ARV, a confidence score, and the reasoning for both.
The deal math sits next to the comps rather than in a separate spreadsheet: wholesale MAO, flip projections, BRRRR, and an AI repair estimator you can actually talk to.
btw: it works in Texas and the other non-disclosure states, where the county never publishes sale prices. It tells you when it is working from market estimates instead of quietly presenting a guess as a sold price.
You can run one free on any address at arvnote.com/demo, no signup. Ask me anything.
About ARVnote on Product Hunt
“Run AI comp reports on any US address before you offer”
ARVnote was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #103 on the daily leaderboard. Type any US address and ARVnote builds the comp report in less than a couple of minutes. The AI searches recent sales, ranks the six best comps on proximity, size, recency, condition, then adjusts each for square footage, lot, beds, baths, garage and pool the way an appraiser would, showing every one. You get an ARV, a confidence score, and the reasoning for both. Deal math is on the same page: wholesale MAO, flip projections, BRRRR, an AI repair estimator. Works in non-disclosure states.
On the analytics side, ARVnote competes within Investing, Artificial Intelligence and Data & Analytics — topics that collectively have 508.4k followers on Product Hunt. The dashboard above tracks how ARVnote performed against the three products that launched closest to it on the same day.
Who hunted ARVnote?
ARVnote was hunted by Youssef Ateya. 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.
For a complete overview of ARVnote including community comment highlights and product details, visit the product overview.
Youssef Ateya