Diffyn VS LOOKSY.TECH

Diffyn's answer

Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.

LOOKSY.TECH's answer:

LOOKSY.TECH gives online stores a deep, native-feeling AI layer inside their own website — not just a try-on button, but an extended recommendation and consultation system that helps shoppers pick the right item, size, and full outfit. We integrate deeply into the store's product experience while keeping setup fast: most brands go live in 1 business day. Add to that a modern design, regular product updates, and a growing lineup of AI tools — while most competitors ship a single point solution and stop there, LOOKSY.TECH keeps expanding the product to match how shoppers and stores actually make decisions.

Diffyn's answer

Diffyn is the platform that specializes on both change management and multi-model analysis.

LOOKSY.TECH's answer:

LOOKSY.TECH gives stores a two-in-one AI stack: the virtual try-on and the AI shopping assistant can work together as one connected experience, or run independently — whichever fits the store's strategy. Most competitors offer only one of these tools. Beyond that: measurable results (+17% AOV, up to +21% conversion, −10% size-related returns), integration in 1 business day with Shopify, WooCommerce, Magento (Adobe Commerce), WordPress, and any custom store via API, and no development required on the merchant's side.

Diffyn's answer

React, Next.js, POSTGRESQL

Diffyn's answer

Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.

LOOKSY.TECH's answer:

Online stores and online retailers of any size — from mid-market DTC brands to larger e-commerce players — who want to grow average order value, boost conversion, and reduce returns without building AI in-house. LOOKSY.TECH works not just with clothing, but also with footwear, eyewear, jewelry, bags, and accessories — and can be applied to any category where shoppers benefit from AI-driven try-on, size guidance, or product consultation. The platform runs globally with clients in Europe, the Middle East, the CIS region, and the US.

Diffyn's answer

I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.

LOOKSY.TECH's answer:

LOOKSY.TECH started as a virtual fitting room — an AI that lets online shoppers see any item on their own photo. But it quickly became clear that the shopper's journey doesn't end at try-on: buyers also need help choosing the right item for an occasion, matching by specific attributes, comparing options, and getting confident about the purchase. Merchants told us the same thing from their side — they wanted a tool that helps shoppers actually decide, not just visualize. We built on that insight: added AI size recommendations, look completion, and a full AI shopping assistant. Today LOOKSY.TECH is a connected AI product that supports the whole shopper journey inside the store's own site.