Hendri Martasari
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0 → 1 Product

Appliqué First Prototype

The first Applique prototype explores whether AI can reduce uncertainty around fit, proportion, styling, and confidence before someone buys online.

Role

Founder and Product Builder

Industry

Consumer AI and Fashion Tech

Duration

2 Weeks

Time

October 2025

Stacks

Next.js, TypeScript, multimodal APIs, image tooling

Applique styling progression board showing inspiration-to-outfit outcomes

Key Achievements

0 → 1 Product Prototype

Built the first version of the product experience from scratch, marking my journey as AI-native product builder

3 Core Product Innovations

Shaped the foundation for Appliqué's base model system, AI try-on experience, and fit intelligence layer.

AWS Hackathon Finalist

Joined my first hackathon as a solo builder and advanced as a finalist with Appliqué's AI fashion concept.

1 Clear Product Vision

Created the early product direction and brand message for Appliqué.

Intro

I built the first Applique prototype to explore one simple question: what if online shoppers could see themselves in an item and analyze the fit before deciding to buy?

The goal was not just to create a virtual try-on demo. It was to test whether AI could reduce the uncertainty people feel when shopping online around fit, proportion, styling, and whether something actually feels like them.

Problem

Choosing what to wear online is not only a style decision. It is a confidence decision.

People often discover an outfit they love, then immediately start questioning it: Will this look good on me? Will the fit feel right? Can I actually pull this off?

A woman looking uncertain while deciding what to wear
Will this work on me? Too big? Too small?
Will it look good on me? I never wear something like this before.
Am I confident trying this?

Also, this is a genuinely painful customer journey. At least for me, online shopping can become a perpetually paralyzing experience where I cannot decide what to buy.

Customer journey showing uncertainty between inspiration and purchase
Roadblock/Missing Layer

Prototype Goal

I built the first prototype from my own frustration with existing try-on apps.

What I disliked

  1. They only work inside retailer websites.
  2. They require a full-body photo, which I do not always have.
  3. They show a try-on image, but do not predict sizing or fit.

What I wanted to test instead

  1. Create a personalized base model from a single selfie.
  2. Let users upload inspiration, product links, or images from anywhere.
  3. Add fit prediction and analysis, not just a visual try-on.

The goal was simple: make virtual try-on feel more personal, flexible, and useful before buying.

The Solution

I designed Applique around one simple idea: create your base model once, then try on clothes from anywhere.

Instead of requiring a perfect full-body photo or being locked inside one retailer website, the prototype lets users upload a selfie and basic information like height and weight.

From there, Applique creates an ideal personalized base model that users can apply across different shopping moments. The goal is to make try-on more flexible and useful so users can test clothes from anywhere, see how they might look, and get sizing prediction before deciding to buy.