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beechwood

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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.

This is a recruiter-facing tool that compares a candidate’s resume with their LinkedIn profile PDF (uploaded by the recruiter) and flags mismatches in job titles, dates, roles, skills, and timelines.

I would love some feedback.

This is not a fancy web app. I simply made it because I'm a single parent and while I'm trying to make dinner my 9 year old is down some YouTube rabbit hole. I figured I would share because I can't be the only parent that has this issue.

So I made a web app where I could add channels that I approve. There is no algo recommendations in the side bar, just the video.

Please share feedback if you have any.