doorhunter.ai

What is DoorHunter?

DoorHunter is a real estate investment analysis tool. Its focus is not browsing homes for sale but screening markets and listings against return targets you define. You pick a market, set rules such as a minimum monthly cash flow, and the site estimates whether tracked listings clear that bar. The page describes it as a way to "compare property listings, estimate rental cash flow, and model investment returns."

What it actually does

Three steps structure the workflow, per the site's own framing:

1. Explore a market. Compare markets by median asking price, median rent, rent-to-price ratio, estimated cap rate, and days on market. The page shows a sortable list of 108 markets, so you can rank places like Akron, Austin, or Atlanta by estimated cap rate rather than by familiarity.
2. Set your buy box. Define financing assumptions and return targets — the example uses 25% down, a 6% mortgage rate, and a $200/month cash-flow target.
3. Look inside the deal. For a listing, see estimated monthly cash flow, cap rate, cash-on-cash return, and DSCR side by side, then adjust assumptions and watch the numbers move.

A concrete scenario

Say you want at least $200/month in cash flow and a DSCR above 1.25. Instead of opening dozens of listing tabs, you set those thresholds once, scan markets, and only open listings that already pass. The sample listing on the page — a $285,000 three-bed in Austin — shows $254/month cash flow, a 7.0% cap rate, 3.6% cash-on-cash, and 1.30 DSCR under those assumptions.

Where it fits, and where it doesn't

The trade-off is the familiar one for screening tools: speed and comparability come from standardized assumptions, so taxes, insurance, maintenance, and vacancy will differ from your actual deal. The page notes one free market, with all markets on a premium tier that includes a 14-day trial. It also acknowledges that many users arrive from Zillow, which suggests the intended pattern is to use DoorHunter for the return math and a listing site for the property itself.

Next step: pick one market you already know well, run its numbers against your own assumptions, and compare the output with a deal you have personally underwritten. If the estimates land close, the screening layer is trustworthy enough to widen your search.

How can I compare rental cash flow across different real estate markets?

Use a consistent set of financing and expense assumptions for every market, then compare the resulting cash flow and return metrics side by side. DoorHunter is built around this workflow: its market table shows median asking price, monthly rent, rent-to-price ratio, estimated cap rate, and days on market for each metro, so you can screen many markets without opening individual listings first. DoorHunter

A practical comparison method

1. Fix your assumptions. Decide down payment, mortgage rate, vacancy, taxes, insurance, maintenance, and property management up front. Changing these between markets makes the comparison meaningless.
2. Screen at the market level. Rent-to-price ratio and estimated cap rate quickly separate high-yield, lower-price markets from expensive, low-yield ones.
3. Set a buy box. Define minimum monthly cash flow, minimum cap rate, and maximum price, then filter listings against those thresholds.
4. Check the deal, not just the median. A market median hides wide variation between neighborhoods, property types, and condition.

DoorHunter's illustrative example uses 25% down, a 6% mortgage, and the demo's expense figures to show $254/month estimated cash flow, a 7.0% cap rate, 3.6% cash-on-cash return, and 1.30 DSCR on a $285,000 Austin property. Those are example inputs, not defaults you should accept. DoorHunter

What the numbers tell you

A concrete example: DoorHunter's market list shows Akron, OH with a median asking price of $214,900, $1,250 monthly rent, a 0.58% rent-to-price ratio, and an estimated 10.48% cap rate, against Austin, TX at $515,000, $2,450 rent, 0.48%, and 3.93%. Akron screens as the stronger cash-flow market on these medians, but that gap usually reflects differences in taxes, insurance, tenant demand, and property condition that a median cannot show. DoorHunter

Where to look next

For a first pass, rank markets by rent-to-price ratio, then verify the top few with actual listings rather than medians. Cross-check rents against Zillow and Rentometer, and pull county tax and assessor records for the specific parcel before trusting any estimate. If a market only works with optimistic rent growth or minimal maintenance, it does not work.

What financing assumptions does DoorHunter use to estimate returns?

DoorHunter's worked example is built on three stated financing assumptions: 25% down, a 6% mortgage rate, and the expenses shown in the demo. The site labels the resulting figures—$254/month estimated cash flow, 7.0% cap rate, 3.6% cash-on-cash, 1.30 DSCR on the $285,000 Austin property—as an illustrative example, so treat them as a template rather than fixed underwriting.

That matters because the page also says you can "compare tracked listings using your financing assumptions and return targets." In other words, the 25%/6% setup appears to be the default demonstration, while the product is designed for you to substitute your own down payment, rate and expense inputs. The cap rate and rent figures shown for each market (for example, Akron at a 10.48% estimated cap rate versus Austin at 3.93%) come from the market-level medians, not from a single financing structure.

How to use this

Enter your real numbers before trusting any output:

• Down payment: a 25% down assumption produces different cash-on-cash than 20% or 35%.
• Mortgage rate: 6% is a round demo figure; your actual quoted rate changes DSCR and cash flow directly.
• Expenses: the demo's expense set drives the 7.0% cap rate, so check whether it includes taxes, insurance, vacancy, maintenance and management.

A practical test: if a deal only clears your target at 25% down and 6%, rerun it at a higher rate and a 5–10% vacancy allowance. If the cash flow target still holds, the deal has margin; if it flips negative, the original number was a rate assumption, not a property advantage.

Can I set my own buy box criteria for property deals?

Yes. DoorHunter is built around a "set your buy box" step, so you define the rules a deal must meet rather than scrolling through every listing. The site describes comparing tracked listings against your own financing assumptions and return targets, with filters such as cash-flow targets and estimated returns.

What you can screen on

The page evidence points to these levers:

• Market selection — compare asking prices, rents, rent-to-price ratios and estimated cap rates across supported markets before drilling into listings.
• Return targets — the illustrative example flags a deal as meeting a $200/month cash-flow target, alongside cap rate, cash-on-cash and DSCR.
• Financing assumptions — the sample figures use 25% down and a 6% mortgage, which you adjust so the returns reflect your own deal terms.

How to use it in practice

Suppose you want at least $200/month in cash flow and a DSCR above 1.25. You would set those thresholds, then let the market view narrow the field before you open individual listings. The example property — 805 Oakwood Drive in Austin at $285,000 — shows how a single deal gets scored against your targets, which is more useful than a raw listing feed because it tells you whether the numbers actually clear your bar.

Trade-offs to weigh

Your buy box is only as good as the assumptions behind it. Rent estimates, expense estimates and mortgage rates drive every output, so a loose assumption can make a marginal deal look strong. Treat the scores as a first filter and verify rents, taxes, insurance and condition on the specific property.

Access matters too: the page indicates one free market, with all markets requiring premium and a 14-day trial. If you invest in one metro, the free tier may be enough; if you are comparing several markets, the paid tier is where the comparison becomes useful.

Next step: pick one market you already know well, set a conservative buy box, and see whether the flagged deals match your own gut check on local rents and prices. That tells you quickly whether the tool's assumptions align with your market.

How does DoorHunter integrate with Zillow?

DoorHunter does not replace Zillow; it sits on top of the browsing you already do there. Its own page asks "Already browsing Zillow?" and offers a free account, which points to a workflow where you find a property on a listing site, then bring that address into DoorHunter to run the numbers.

What the integration actually is

Based on the site's own framing, treat DoorHunter as a deal-analysis layer rather than a Zillow plugin or a synced account. You pick a market, set a "buy box" (your target cash flow, return thresholds, financing assumptions), and then look inside individual deals. The example listing, 805 Oakwood Drive in Austin, shows what that output looks like: estimated monthly cash flow of $254 against a $200/month target, a 7.0% cap rate, 3.6% cash-on-cash and a 1.30 DSCR, using 25% down at a 6% mortgage rate.

How to use the two together

A practical loop for a buyer shopping on Zillow:

1. Browse listings on Zillow as usual to build a shortlist.
2. Note the market and the address.
3. In DoorHunter, compare that market's median asking price, rent and estimated cap rate against others before committing.
4. Enter the specific property and test your own financing assumptions and return targets.
5. Keep only the deals that clear your buy box.

Where the trade-off shows up

Zillow is strongest for inventory, photos and listing alerts. DoorHunter is strongest for screening markets and stress-testing returns. The catch is that DoorHunter's figures are estimates built on assumptions you supply, so a deal that "passes" is only as good as the rent, vacancy and expense inputs behind it.

Access is also tiered: one free market, with all markets on premium including a 14-day trial. If you invest in a single metro, the free tier may be enough; if you are comparing across states, the paid tier matters.

For market-level context alongside these tools, Zillow publishes research, and Realtor.com and Redfin offer comparable listing coverage if you want a second source on rents and days on market.

A sensible next step: pick one market you already know, run three real listings through DoorHunter with your own down payment and rate, and see whether the cash-flow estimates match what local landlords actually report.

What is included in the free account versus the premium subscription?

DoorHunter's free tier is built around a single market: you pick one, apply your own buy box and financing assumptions, and see estimated cash flow, cap rate, cash-on-cash return and DSCR for tracked listings. Premium removes that one-market limit so you can screen and compare deals across all supported markets, and it starts with a 14-day trial. The site's own example — a three-bed Austin listing at an illustrative $254/month cash flow against a $200 target — shows the kind of output both tiers are designed to produce.

What that split means in practice

The practical difference is breadth of search, not depth of analysis. A free user can model a deal just as thoroughly; they just cannot run the same screen across dozens of markets to find where the numbers work best.

Who each tier suits

• Free: a first-time investor who already knows their target city and wants to test whether specific listings clear a cash-flow or DSCR threshold before committing to a market.
• Premium: someone still choosing a market, or comparing several. The market table makes this concrete — Akron's median rent-to-price ratio and estimated cap rate look very different from Austin's, and comparing those side by side is the whole point of multi-market access.

A useful next step

Before deciding, write down your buy box — target monthly cash flow, minimum DSCR, maximum down payment — and run one market on the free tier. If the listings that pass are too few to act on, that is your signal to use the trial to widen the search rather than to conclude the strategy is unworkable. Treat the cap rates and cash-flow figures as estimates driven by your own inputs, and verify rents, taxes and insurance locally before making an offer.