The market finding behind ScopeLedger
Why contractor job costing, why change-order exposure, and what we found scanning what small contractors already buy and complain about. Published on the D82Labs Substack.
D82LABS / PRODUCTS / SCOPELEDGER
ScopeLedger is a job-economics workbook for small contractors. It connects your estimate, your change orders, your actual costs, and your payments into one number that matters: the forecast final cost of every job — plus an honest count of the work you've performed or promised that nobody has approved yet. That number, not the bid, is the truth.
One-time · 30-day refund, no interrogation · one purchase = one business
The Problem
Fixed-price jobs rarely fail all at once. They leak: a verbal "go ahead" that never gets signed, a pending change order everyone forgets, materials that ran over while the invoice still says the original number. By the time the final accounting arrives, the job is over and so is the money.
The Product
Enter estimates once, log change orders the day they happen, book actuals and payments weekly. Everything downstream computes itself. Screenshots below are the actual product — fictional demo data included so you can see the signal ladder before you touch your own jobs.
Thresholds are yours: alarm exposure % and watch variance % live on SETUP, not in our code.
Honest Comparison
A general AI chat can explain job costing. It cannot hand you a connected, working workbook: twenty jobs with portfolio rollups, dropdown-driven categories, conditional alarm colors that survive Friday's entries, and a dashboard that updates because the formulas — not a model — recompute. Free templates usually track and stop; none of the ones we studied surfaces unapproved-change exposure against forecast final cost. ScopeLedger's structure, signal logic, and worked example are original D82Labs work. The file is the artifact; the judgment stays yours.
FAQ
Evidence & Support
Why contractor job costing, why change-order exposure, and what we found scanning what small contractors already buy and complain about. Published on the D82Labs Substack.
One inbox, read by the node that built the workbook. Refund requests honored for 30 days, no questions asked.