u/Infamous_Injury_9288

I've been investing for a few years and the workflow that drove me nuts was: open a Zillow listing, copy the price/sqft/beds/baths, paste into a spreadsheet, look up taxes separately, guess at rent, compute cap rate by hand. Repeat 50 times a week. The data is right there on the page but Zillow's never going to surface "is this a deal."

I built a Chrome extension that overlays the numbers I actually want on every zillow.com/homedetails page:

- Estimated monthly rent (Random Forest model trained on tens of thousands of public rental listings)

- Cap rate using the actual property tax pulled from Zillow + itemized expenses (not the lazy 50% rule that overpenalizes low-tax markets)

- Cash-on-cash with user-configurable assumptions (down payment %, interest rate, insurance, maintenance, vacancy, management)

- Days on market + saves with a 7-tier demand pill: insane / very hot / hot / healthy / mild / cold / dead

- Zillow's own "sells faster than X%" indicator when it appears

- Price reduction history

- A 0–100 composite deal score

- Save listings to a list with one click + CSV export

It's called homes.plus. Free for 10 lookups/month + weekly bonus credits when you sign in. Pro is $19/mo (or $199/yr) for unlimited lookups — no upsell pressure in the overlay itself.

Web Store: https://chromewebstore.google.com/detail/ohimgedgfajhdaghfappeelfbombmeki

What I want from this thread: brutal feedback. Things I already know are imperfect:

- The rent model is more accurate in some markets than others. The overlay shows a "limited coverage" pill when it's degrading to broader fallbacks, so you know when to trust the number.

- Pure rental investors won't care about half the demand signals (saves/day matters more for flips and quick-resale plays).

- No comps view yet. Will reintroduce a max-allowable-offer once comps are wired up — using list price as ARV is meaningless.

If you try it on a listing you know well, let me know how far off the rent prediction is. That's the metric I most want to improve.

— Ben, eCuras LLC

I've been investing for a few years and the workflow that drove me nuts was: open a Zillow listing, copy the price/sqft/beds/baths, paste into a spreadsheet, look up taxes separately, guess at rent, compute cap rate by hand. Repeat 50 times a week. The data is right there on the page but Zillow's never going to surface "is this a deal."

I built a Chrome extension that overlays the numbers I actually want on every zillow.com/homedetails page:

- Estimated monthly rent (Random Forest model trained on tens of thousands of public rental listings)

- Cap rate using the actual property tax pulled from Zillow + itemized expenses (not the lazy 50% rule that overpenalizes low-tax markets)

- Cash-on-cash with user-configurable assumptions (down payment %, interest rate, insurance, maintenance, vacancy, management)

- Days on market + saves with a 7-tier demand pill: insane / very hot / hot / healthy / mild / cold / dead

- Zillow's own "sells faster than X%" indicator when it appears

- Price reduction history

- A 0–100 composite deal score

- Save listings to a list with one click + CSV export

It's called homes.plus. Free for 10 lookups/month + weekly bonus credits when you sign in. Pro is $19/mo (or $199/yr) for unlimited lookups — no upsell pressure in the overlay itself.

Web Store: https://chromewebstore.google.com/detail/ohimgedgfajhdaghfappeelfbombmeki

What I want from this thread: brutal feedback. Things I already know are imperfect:

- The rent model is more accurate in some markets than others. The overlay shows a "limited coverage" pill when it's degrading to broader fallbacks, so you know when to trust the number.

- Pure rental investors won't care about half the demand signals (saves/day matters more for flips and quick-resale plays).

- No comps view yet. Will reintroduce a max-allowable-offer once comps are wired up — using list price as ARV is meaningless.

If you try it on a listing you know well, let me know how far off the rent prediction is. That's the metric I most want to improve.

— Ben, eCuras LLC

I've been investing for a few years and the workflow that drove me nuts was: open a Zillow listing, copy the price/sqft/beds/baths, paste into a spreadsheet, look up taxes separately, guess at rent, compute cap rate by hand. Repeat 50 times a week. The data is right there on the page but Zillow's never going to surface "is this a deal."

I built a Chrome extension that overlays the numbers I actually want on every zillow.com/homedetails page:

- Estimated monthly rent (Random Forest model trained on tens of thousands of public rental listings)

- Cap rate using the actual property tax pulled from Zillow + itemized expenses (not the lazy 50% rule that overpenalizes low-tax markets)

- Cash-on-cash with user-configurable assumptions (down payment %, interest rate, insurance, maintenance, vacancy, management)

- Days on market + saves with a 7-tier demand pill: insane / very hot / hot / healthy / mild / cold / dead

- Zillow's own "sells faster than X%" indicator when it appears

- Price reduction history

- A 0–100 composite deal score

- Save listings to a list with one click + CSV export

It's called homes.plus. Free for 10 lookups/month + weekly bonus credits when you sign in. Pro is $19/mo (or $199/yr) for unlimited lookups — no upsell pressure in the overlay itself.

Web Store: https://chromewebstore.google.com/detail/ohimgedgfajhdaghfappeelfbombmeki

What I want from this thread: brutal feedback. Things I already know are imperfect:

- The rent model is more accurate in some markets than others. The overlay shows a "limited coverage" pill when it's degrading to broader fallbacks, so you know when to trust the number.

- Pure rental investors won't care about half the demand signals (saves/day matters more for flips and quick-resale plays).

- No comps view yet. Will reintroduce a max-allowable-offer once comps are wired up — using list price as ARV is meaningless.

If you try it on a listing you know well, let me know how far off the rent prediction is. That's the metric I most want to improve.

— Ben, eCuras LLC

The thing that finally made me build this: every Zillow listing turns into the same 40-second chore. Copy price, sqft, beds, baths into a spreadsheet. New tab for property tax. Eyeball rent. Cap rate by hand. Times 50 listings a week, that's an hour I'd rather spend walking a property. All the inputs are right there on the page. Zillow just won't connect them for you.

I built a Chrome extension that overlays the numbers I actually want on every zillow.com/homedetails page:

- Estimated monthly rent (Random Forest model trained on tens of thousands of public rental listings)

- Cap rate using the actual property tax pulled from Zillow + itemized expenses (not the lazy 50% rule that overpenalizes low-tax markets)

- Cash-on-cash with user-configurable assumptions (down payment %, interest rate, insurance, maintenance, vacancy, management)

- Days on market + saves with a 7-tier demand pill: insane / very hot / hot / healthy / mild / cold / dead

- Zillow's own "sells faster than X%" indicator when it appears

- Price reduction history

- A 0–100 composite deal score

- Save listings to a list with one click + CSV export

It's called Homes Plus Free: 10 lookups/month plus weekly bonus credits when you sign in. Pro is $19/mo (or $199/yr) for unlimited lookups — no upsell pressure in the overlay itself.

Web Store: https://chromewebstore.google.com/detail/ohimgedgfajhdaghfappeelfbombmeki

What I want from this thread: brutal feedback. Things I already know are imperfect:

- The rent model is more accurate in some markets than others. The overlay shows a "limited coverage" pill when it's degrading to broader fallbacks, so you know when to trust the number.

- Pure rental investors won't care about half the demand signals (saves/day matters more for flips and quick-resale plays).

- No comps view yet. We'll reintroduce a max-allowable-offer once comps are wired up. Using the list price as ARV is meaningless.

Please try it on a listing you know well and let me know how far off the rent prediction is. That's the metric I most want to improve.

— Ben, eCuras LLC