Build MVP Data-Driven Product Platform (Next.js + Supabase)

We are looking for a developer to build an MVP for a data-driven product platform. This is not a standard brochure website or ecommerce site. The platform will store structured product data, support bulk upload and bulk editing, apply a rule-based scoring system, and generate searchable product pages from that data. The goal is to create a scalable foundation that can later support a much larger catalogue. Preferred Stack Please propose your recommended approach, but the preferred stack is: [login to view URL] Tailwind CSS or similar Supabase / PostgreSQL Vercel or similar hosting Open to alternatives if clearly justified. Core Requirements 1. Product Database The platform should support structured storage for product data, including fields such as: product name brand category / type status attributes / ingredients / composition fields analytical or metric fields scoring fields summary / notes The data model should be scalable and suitable for hundreds or thousands of products. 2. Bulk Upload and Bulk Editing The system must support efficient catalogue management. It should be possible to bulk upload products via CSV or similar structured file format. It should also support practical bulk updating of existing records, for example: updating category or brand values across multiple products refreshing imported product data updating status fields in batches updating scoring-related fields in bulk Where possible, existing products should be updated rather than duplicated, using a sensible matching method such as ID, slug, SKU, or product name. 3. Scoring Engine A rule-based scoring system is required. The scoring system should: assign a score to each product support bonuses and penalties use defined rules rather than manual scoring per product be reasonably easy to update later For the MVP, this can be simple, but it should be structured cleanly. 4. Product Listing Page A public-facing listing page should include: product cards or rows product name brand / category score search basic filtering 5. Product Detail Page Each product page should display: product title score key attributes / data points summary text breakdown or flags where appropriate The layout does not need to be highly polished, but it should be clean and usable. 6. Admin Interface A simple admin interface is needed to: add products edit products delete or archive products if required bulk upload products bulk update products update product attributes trigger or refresh scoring if required A lightweight internal dashboard is fine, but it must be practical for managing a growing product database efficiently. Non-Functional Requirements The solution should have: clean, scalable database structure maintainable codebase sensible project structure mobile-friendly frontend basic security and access control for admin area documentation sufficient for handover Out of Scope for MVP The following are not required in the first phase unless you believe they are essential: mobile app payment integration crowdfunding functionality advanced automation complex AI workflows advanced analytics dashboards highly bespoke UI design These may be added later. Deliverables Please include the following in the delivered project: working MVP deployed version source code database schema setup / deployment instructions brief handover notes Proposal Requirements Please include in your proposal: relevant examples of similar work recommended stack and architecture estimated timeline suggested milestones any questions or assumptions Optional Paid Scoping Task We may ask shortlisted candidates to complete a small paid scoping task before awarding the full project. This may include: proposed database schema suggested architecture approach to implementing scoring logic Important This project is best suited to someone with experience in: data-driven platforms SaaS products dashboards or admin systems structured database-backed websites This is not a WordPress-style content site. We are specifically looking for someone who understands data modelling and application structure.

Project ID: 40360233