2by4

Price comparison for construction materials. Search or browse lumber, electrical, plumbing and tools, filter by real specs (wire gauge, length, lumber size, PEX diameter…), and see what each item costs at Home Depot, Lowe's, Menards, Ace Hardware, Harbor Freight and Amazon. Includes in-store prices at your nearest stores and online prices with shipping, plus unit prices (per ft, per sheet, per 100 ct).

Draft: all prices come from a mock provider that generates believable sample data. See Real price data for the plan to plug in real sources.

Stack

• Next.js 16 (App Router, Cache Components) + TypeScript + Tailwind CSS 4
• PostgreSQL + Prisma 7 (@prisma/adapter-pg)

Getting started

Requirements: Node 20+ and a PostgreSQL database. Local Postgres works, or use a free hosted tier (Neon, Supabase, Prisma Postgres).

npm install
cp .env.example .env          # then edit DATABASE_URL
npm run db:migrate            # create tables
npm run db:seed               # load sample catalog + prices
npm run dev                   # http://localhost:3000

Other scripts:

Script	What it does
npm run prices:refresh [-- <retailer-slug>]	Pull fresh quotes from each retailer's provider
npm run amazon:match [-- --apply]	Find Amazon ASINs for products (needs Amazon credentials)
npm test	Unit tests (optimizer, Amazon provider)
npm run db:reset	Drop, re-migrate and re-seed the database
npm run typecheck / npm run lint	Checks

Deploy (free: Vercel + Neon)

The app needs a Node server and Postgres, so it runs on Vercel's free Hobby plan with a free Neon database added through Vercel. Deploys come straight from GitHub.

1. Sign in at vercel.com with your GitHub account (Hobby plan).
2. Add New → Project, import SailTheUniverse/2by4, and click Deploy. This first deploy fails because there's no database yet. That's expected.
3. In the project, open Storage → Create Database → Neon, choose the free plan and a US East region, and connect it to the project for all environments. Keep the default variable names (DATABASE_URL, DATABASE_URL_UNPOOLED).
4. Optional, keeps sample prices fresh: Settings → Environment Variables, add CRON_SECRET with a long random value.
5. Deployments → ⋯ → Redeploy. The build runs migrations and, on an empty database, seeds the sample catalog (adds 2–3 minutes to the first build). Later deploys keep existing data.

vercel.json schedules /api/cron/refresh-prices weekly (Mondays). It refreshes prices and trims history older than 120 days, which keeps the database at roughly 130–150 MB, well under Neon's free 0.5 GB. Every push to draft-mvp redeploys. If the seed data changed (prisma/seed/*), the deploy reseeds the catalog automatically. Project lists are kept and re-linked to products by slug.

How it works

Category (tree) ──< AttributeDef        filterable specs per category (ENUM / NUMBER / BOOLEAN)
Product (specs JSON, unitLabel/unitQty)  one canonical item, matched across retailers
  └─< Listing (product × retailer, url, retailerSku e.g. ASIN)
        ├─< Offer (current price per location: a Store id or "online"; source = mock | live)
        └─< PricePoint (price history)
Retailer ──< Store (zip)
ProjectList ──< ProjectItem (product, quantity)

• Filters come from the URL (/c/wire?gauge=12+AWG&length=250&sort=unit), so every view can be shared. Facet counts are disjunctive: each one ignores its own selection. See src/lib/filters.ts.
• Adding a category or spec is data only. Add it to prisma/seed/categories.ts with its attributes. Product specs are JSON keyed by attribute key, so no migration is needed.
• Local pricing: the shopper's ZIP is stored in a cookie. For each retailer we use the nearest store in the same ZIP zone (first digit), and the "best price" is the cheaper of in-store pickup and online plus shipping. See src/lib/location.ts and src/lib/pricing.ts.
• Project lists (/list, shareable at /lists/[id]): there are no accounts yet, so the list id lives in a cookie. src/lib/optimizer.ts tries every combination of retailers and pickup vs. online and returns the cheapest plan overall, with up to 2 stops, and with one stop. Shipping is one fee per online order: free if any item in the order ships free on its own, otherwise the largest single-item fee.
• Price history: every refresh appends PricePoints. The product page charts each retailer's best price per day for your location (30/90 days) and flags "Lowest price in 90 days". The seed back-fills 90 days of sample history.

Project layout

prisma/schema.prisma         data model
prisma/seed/                 sample retailers, stores, categories, products
scripts/refresh-prices.ts    price refresh job
scripts/amazon-match.ts      ASIN matching for Amazon listings
src/lib/providers/           PriceProvider interface, mock + Amazon providers
src/lib/catalog.ts           queries (products, prices, history)
src/lib/filters.ts           filter parsing, facets, sorting
src/lib/optimizer.ts         cheapest-plan search for project lists
src/app/                     pages: / , /c/[slug], /p/[slug], /search, /list, /lists/[id]
src/components/              UI

Real price data

Each retailer gets a PriceProvider (src/lib/providers/types.ts). Providers are picked per retailer in src/lib/providers/index.ts, and every offer records its source, so the UI tags live prices with LIVE. Options, roughly in order of cost:

1. Free: Amazon Creators API (built in, see below), and affiliate network product feeds (Impact, CJ, Rakuten), which carry some home-improvement retailers.
2. Paid ($50–200/mo): retail data APIs (e.g. SerpApi's Home Depot/Walmart engines, Google Shopping APIs, Unwrangle, BlueCart). These cover Home Depot and Lowe's, which have no public API and prohibit scraping.

This is the beginning of the README. Read the rest at the original. Read the full README ↗