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Show HN: OfferGridAI – side-by-side comparison of real estate offers from PDFs

offergridai.com

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Re: Show HN: OfferGridAI – side-by-side comparison of real estate offers from PDFs

#2

Post by beechwood »

Hello HN, I’m a solo developer building tools for real estate workflows. I built OfferGridAI after watching listing agents repeatedly struggle with the same problem during hot markets.

When a property gets multiple offers, each offer usually comes in as a 10–20 page PDF. Under tight time pressure, agents have to manually dig through each document and rebuild a spreadsheet to compare things like price, net to seller, contingencies, financing, closing timeline, escalation clauses, etc. It’s not conceptually hard, but it’s stressful, time-consuming, and easy to miss details buried deep in the PDFs.

I wanted a way to make that moment less chaotic.

The idea: Upload multiple offer PDFs → extract the key terms → generate a clean, side-by-side comparison grid that’s easy to walk through with a seller.

Instead of just dumping text, the tool normalizes the information into comparable fields (price vs net, contingencies, financing strength, days to close) and adds a short summary highlighting tradeoffs (e.g. highest price vs highest certainty to close).

What it focuses on:

Structured extraction of common purchase-agreement terms

Normalizing offers so sellers can compare apples to apples

Surfacing risk factors (financing type, contingencies, timeline)

Producing a seller-ready grid rather than raw AI output

What it intentionally does not do:

Make decisions for agents or sellers

Replace professional judgment

Integrate with MLS or transaction management systems (at least for now)

The goal is to be a fast decision-support tool for a very specific, high-pressure moment.

I’m early and still refining the scope, especially around:

Which fields matter most in practice

How to communicate “risk” without over-claiming

How tolerant users are of “best effort” extraction vs perfection

I’d love feedback from anyone who’s worked with complex PDFs, document comparison, or decision-support tools under time pressure, or from anyone who’s built vertical SaaS in heavily regulated industries.

Happy to answer questions and learn from the community.

Re: Show HN: OfferGridAI – side-by-side comparison of real estate offers from PDFs

#3

Post by jgalt212 »

beechwood wrote: post #2

Hello HN, I’m a solo developer building tools for real estate workflows. I built OfferGridAI after watching listing agents repeatedly struggle with the same problem during hot markets. When a property gets multiple offers, each offer usually comes in as a 10–20 page PDF. Under tight time pressure, agents have to manually dig through each document and rebuild a spreadsheet to compare things like price, net to seller,…

> each offer usually comes in as a 10–20 page PDF.

When sold out vacation home, we had multiple offers, but I seem to recall the offer letters being 1 pagers. Does offer letter length vary by region?

Re: Show HN: OfferGridAI – side-by-side comparison of real estate offers from PDFs

#5

Post by beechwood »

jgalt212 wrote: post #3
beechwood wrote: post #2

Hello HN, I’m a solo developer building tools for real estate workflows. I built OfferGridAI after watching listing agents repeatedly struggle with the same problem during hot markets. When a property gets multiple offers, each offer usually comes in as a 10–20 page PDF. Under tight time pressure, agents have to manually dig through each document and rebuild a spreadsheet to compare things like price, net to seller,…

> each offer usually comes in as a 10–20 page PDF. When sold out vacation home, we had multiple offers, but I seem to recall the offer letters being 1 pagers. Does offer letter length vary by region?

Yes, I think it varies by state.

Re: Show HN: OfferGridAI – side-by-side comparison of real estate offers from PDFs

#7

Post by simonw »

beechwood wrote: post #2

Hello HN, I’m a solo developer building tools for real estate workflows. I built OfferGridAI after watching listing agents repeatedly struggle with the same problem during hot markets. When a property gets multiple offers, each offer usually comes in as a 10–20 page PDF. Under tight time pressure, agents have to manually dig through each document and rebuild a spreadsheet to compare things like price, net to seller,…

For covering the risk of mistakes I suggest considering ways of "visually quoting" the documents.

If the summary says "closing timeline: X" but there's an icon I can click that pops open an overlay with a visual cropped screenshot of that part of the original PDF - maybe even with a red circle around that detail - I can trust those summaries a whole lot more.

Gemini 2.5 has image bounding box and masking features that can help with this (sadly missing from Gemini 3.)

Re: Show HN: OfferGridAI – side-by-side comparison of real estate offers from PDFs

#8

Post by beechwood »

simonw wrote: post #7
beechwood wrote: post #2

Hello HN, I’m a solo developer building tools for real estate workflows. I built OfferGridAI after watching listing agents repeatedly struggle with the same problem during hot markets. When a property gets multiple offers, each offer usually comes in as a 10–20 page PDF. Under tight time pressure, agents have to manually dig through each document and rebuild a spreadsheet to compare things like price, net to seller,…

For covering the risk of mistakes I suggest considering ways of "visually quoting" the documents. If the summary says "closing timeline: X" but there's an icon I can click that pops open an overlay with a visual cropped screenshot of that part of the original PDF - maybe even with a red circle around that detail - I can trust those summaries a whole lot more. Gemini 2.5 has image bounding box and masking features tha…

Ok, gotcha. I think this is doable. Show the excerpt from the original document so the user has confidence the data is correct.

Thank you for the feedback.

Re: Show HN: OfferGridAI – side-by-side comparison of real estate offers from PDFs

#9

Post by lysecret »

simonw wrote: post #7
beechwood wrote: post #2

Hello HN, I’m a solo developer building tools for real estate workflows. I built OfferGridAI after watching listing agents repeatedly struggle with the same problem during hot markets. When a property gets multiple offers, each offer usually comes in as a 10–20 page PDF. Under tight time pressure, agents have to manually dig through each document and rebuild a spreadsheet to compare things like price, net to seller,…

For covering the risk of mistakes I suggest considering ways of "visually quoting" the documents. If the summary says "closing timeline: X" but there's an icon I can click that pops open an overlay with a visual cropped screenshot of that part of the original PDF - maybe even with a red circle around that detail - I can trust those summaries a whole lot more. Gemini 2.5 has image bounding box and masking features tha…

Oh I didn’t know about the visual bounding boxes this is super cool!

Quick question are you talking about this feature?

https://docs.cloud.google.com/vertex-ai/generative-ai/docs/b...

Because it’s just using structured response so it should be doable with Gemini 3 ? (We are using Gemini 3 for some docs processing and its visual understanding is just incredible)

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