PrepDealsGrocery deals become a plan of action.
PrepDeals finds the week’s strongest specials, connects them to relevant recipes, and helps each person adjust servings, calories, and their grocery list.
A product born from a real problem.
Eating toward your goals without missing the week’s best deals should be simple.
PrepDeals began as a personal tool: a faster way to compare flyers, discover new meals, and stay in control of cost, servings, and nutrition. That idea grew into a public product designed specifically for the Quebec market.
See what is genuinely worth buying this week.
Flyers from seven major banners are transformed into comparable data. n8n workflows support extraction, normalization, and the matching of products to ingredients used by recipes.
People can filter by grocer and start with a deal to find something worth cooking.
From the deal to the cart, without losing the thread.
Each recipe connects required ingredients to products that are actually on sale. Estimated cost per serving, savings, and grouping by grocer turn a meal idea into a practical grocery list.
The quantities follow your goals.
A calories-per-serving control and a serving-count control adjust ingredients and nutrition totals. The same meal can adapt to the person—not the other way around.
Designed to move from the kitchen to the grocery store.
Recipe discovery and grocery lists remain useful on a small screen: find an idea at home, then check products directly in the aisle.
A complete product, owned end to end.
PrepDeals demonstrates more than an interface: it is a living system bringing together data collection, matching logic, product experience, dynamic content, and production infrastructure.
- 01Product design
- 02UI/UX
- 03React
- 04Node.js
- 05PostgreSQL
- 06API
- 07n8n
- 08SEO/SSR
- 09Analytics
- 10Hosting
In beta, already built to learn.
PrepDeals is in its early acquisition phase to gather real feedback. Analytics guide upcoming decisions, while dynamic recipe pages and the sitemap steadily grow its search presence.
Acquisition
Observe how the first users discover and use the product.
Content
Add roughly ten recipes per week and expand the matching possibilities.
Evolution
Improve journeys based on observed behavior and feedback.