Building an ethical product discovery platform designed to scale

Etho is an ethical product discovery platform that helps users find products aligned with their values.

Instead of selling products directly, the platform gathers listings from across the web, organizes them using clear ethical criteria, and sends users to the original seller to complete their purchase.

The first version was built as a pre-revenue MVP focused on validation. The goal was to test interest, understand user behavior, and create a scalable starting point before adding transactions.

Ethical shopping is growing, but the experience is still fragmented and hard to trust.

Users often struggle with three things: ethical products are spread across small, disconnected sources; claims like "eco-friendly" or "sustainable" are hard to verify; and many platforms rely on manual curation, which makes them difficult to scale.

Etho needed to solve more than discoverability. It had to make product discovery feel more trustworthy, while creating a model that could grow without depending on manual effort.

One of the most important decisions was to position Etho as a discovery platform, not a marketplace.

That choice kept the MVP focused and reduced operational overhead. Instead of solving payments, fulfillment, and seller operations too early, the product could focus on what mattered most at this stage: whether users would search, engage, and click through with real intent.

This gave the team a leaner path to validation without weakening the long-term product vision.

Even at MVP stage, the product needed a foundation that would not create limits later.

The system was built with a distributed architecture that separated scraping, AI tagging, and backend services. It also used asynchronous workflows and queue-based processing to move data from raw collection to tagged products and storefront display.

This made the platform more scalable, easier to maintain, and better prepared for future growth.

The MVP gave Etho a strong product foundation and a practical way to validate the market.

It reduced dependence on manual curation, made ethical product discovery more scalable, and created a behavioral data layer that can inform future product and business decisions.

It also opened a path to future monetization through commissions, memberships, or SaaS-style offerings.

The core MVP was completed in around three months, from early December to early March, and the team is now continuing through QA and product refinements.