DRESSED

What DRESSED does

DRESSED is a Chicago-based, founder-operated AI personal styling application delivered as a Progressive Web App at trydressed.com, built and run by Bryson Meunier through his Illinois LLC, AlgoFāv LLC. The product generates complete outfit recommendations from a user's existing wardrobe every morning, calibrated to local weather, Google Calendar events, and a learned taste profile maintained by Vera, the proprietary AI stylist agent. Core features include Today's Look (daily outfit), Plan My Week (seven-day planning), Pack a Trip (travel packing from the user's actual closet), AI Shopper (wardrobe gap analysis with Amazon and eBay product recommendations), Rate My Outfit (photo scoring across five dimensions), and Closet Cleanout (donation flow via ThredUp). Vera employs a 13+ step style-rules enforcement chain and a self-critique loop (PICK → CRITIQUE → REVISE → FINAL) to validate outputs.

Underlying technology is built on Supabase (database and authentication), Google OAuth and Google Calendar API (sign-in and calendar sync), and Stripe (subscription billing), with computer vision and natural language capabilities powering garment identification from photos and a conversational styling interface. The product is mobile-distributed via PWA install rather than native app stores.

The business model is freemium self-serve: a free tier with approximately 30 outfits per month plus full closet and AI Shopper access, and a Pro subscription at $8/month or $80/year unlocking unlimited daily outfit generation, Plan My Week, Pack a Trip, and calendar sync. The company earns additional revenue through the Amazon Associates affiliate program (and recently eBay via EPN) when users purchase recommended gap-filling items, and contributes 1% of subscription revenue to Stripe Climate. Go-to-market is product-led growth paired with content marketing via a 20+ article Style Guide hub, organic SEO leveraging the founder's 25-year search-marketing background, and social/Product Hunt presence. The company is bootstrapped with $0 in external funding and operates with a single founder.

Name

DRESSED

Legal name

AlgoFāv LLC

Website

https://trydressed.com

Company type

Private

Founded year

2026

Operating status

Operating

Headcount range

1–10 employees

Short description

DRESSED is a Chicago-based AI personal styling Progressive Web App that generates daily outfit recommendations from a user's existing wardrobe, calibrated to weather, calendar events, and learned taste. Operated by AlgoFāv LLC, it serves individual consumers via a freemium subscription model.

Ownership category

akta.pro rank

Product category

AI Personal Styling Software

akta.pro industry

PRIMARYHSACAJAF

Virtual Styling & Outfit Planning

Home & Personal Services/Event & Personal Concierge Services/Personal Shopping & Styling Services

SECONDARYHSACAJAD

Personal Color Analysis & Style Consulting

Home & Personal Services/Event & Personal Concierge Services/Personal Shopping & Styling Services

SECONDARYHSACAJAL

Sustainable/Ethical Shopping & Capsule Wardrobe Building

Home & Personal Services/Event & Personal Concierge Services/Personal Shopping & Styling Services

SECONDARYHSAFABAE

Seasonal Rotation & Capsule Wardrobe Setup

Home & Personal Services/Home Organization & Decluttering/Closet & Wardrobe Organization

Keywords

• AI personal styling
• Outfit recommendation app
• Digital wardrobe manager
• AI fashion assistant
• Daily outfit planner

Headquarters

HQ city

Park Ridge

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2C

Offering type

Software

Cost components

Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Pro Subscription: Monthly ($8) or annual ($80) subscription providing unlimited daily outfit generation, Plan My Week, Pack a Trip, and calendar sync. Billed via Stripe with automatic renewal.
2. Free Tier: Free tier with approximately 30 outfits per month, full closet access, and AI Shopper. Free tier never charges and requires no credit card.
3. Amazon Associates Affiliate Revenue: Participates in Amazon Associates Program. Earns commission on qualifying purchases when users click product links in AI Shopper feature. 1% of subscription payments contributed to Stripe Climate carbon removal.

Pricing tiers

Go-to-market motion1 record

Distribution channels1 record

Marketing channels7 records

Core offering

DRESSED is a consumer-facing AI personal styling Progressive Web App that generates daily outfit recommendations drawn from a user's existing wardrobe, calibrated to local weather, calendar events, and the user's taste history. The conversational AI agent Vera provides outfit planning, weekly look scheduling, travel packing lists, wardrobe gap analysis, and an AI Shopper feature that surfaces affiliate-linked purchases for missing pieces. The product is offered on a freemium subscription model with paid tiers unlocking advanced planning, analytics, and shopping features.

Product overview

DRESSED is a unified AI personal styling PWA (progressive web app) centered on Vera, a conversational AI stylist agent. The core product generates daily outfit recommendations from users' existing wardrobes, calibrated to weather, calendar events, and learned taste preferences. Core features include Today's Look (daily outfit), Plan My Week (7-day planning), AI Shopper (wardrobe gap analysis), Pack a Trip (packing lists), Rate My Outfit (photo critique), and Closet Cleanout (donation suggestions). The app also includes a Style Guide content hub with 23 practical dressing guides. Pricing is free tier (limited outfits) and Pro subscription ($8/month or $80/year).

Differentiator

Problem solved

Functional benefit

Products and services

• DRESSED AI Personal Stylist AI-powered Progressive Web App that generates daily outfit recommendations from the user's existing wardrobe, calibrated to weather, calendar events, and personal taste history. Conversational stylist Vera interprets natural-language style intent and serves style-conscious individual consumers seeking help with daily outfit decisions.
• Weekly Outfit Planning Premium feature of DRESSED that schedules outfits across an entire week, coordinated with the user's calendar and weather forecast. Aimed at paying subscribers who want look coordination beyond the single-day free-tier recommendation.
• Travel Packing Assistant Premium DRESSED feature that generates a packing list and trip-appropriate outfits from the user's existing wardrobe, accounting for destination weather and event types. Targeted at frequent travelers who want to avoid overpacking and dress appropriately across varied itineraries.
• Wardrobe Gap Analysis Premium DRESSED analytics feature that identifies underused wardrobe items and missing pieces, providing actionable insights about closet utilization. Aimed at engaged paying subscribers who want deeper understanding of their wardrobe composition.
• AI Shopper Affiliate-referral feature within DRESSED that surfaces purchase links to retailers (Amazon, eBay) for wardrobe items identified as gaps. Targeted at DRESSED users who want to fill missing pieces identified by wardrobe gap analysis, with DRESSED earning affiliate commissions on resulting purchases.

Quantifiable outcome

• 17 minutes saved per morning on outfit decisions
• +2 more outcomes

Named customers4 records

Segments4 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration5 records

AI capability9 records

Feature7 records

Partnerships

Eight partnerships are on record, tiered minor and core.

• ThredUpminorGTM or Marketing Partner · 27 April 2026ThredUp partnership for Closet Cleanout feature donation flow. Users can send unworn items to ThredUp for resale. Affiliate tracking enabled for revenue sharing.
• eBayminorGTM or Marketing Partner · 12 April 2026Secondhand eBay integration added to AI Shopper. Users can find gap-filling wardrobe items secondhand on eBay. Affiliate tracking enabled via EPN format for commission on qualifying purchases.
• Product HuntminorGTM or Marketing Partner · 2 April 2026Platform for product launch and early user acquisition. Scheduled for April 8, 2026 launch with promotional code for first month Pro free.
• Google CalendarcoreTechnology or IntegrationGoogle Calendar integration allows DRESSED to read user's calendar and adjust outfit recommendations based on scheduled events. Client presentations, job interviews, dinner reservations, and casual Fridays each trigger different formality levels. Calendar events inform both daily outfit generation and weekly planning.
• StripecoreTechnology or IntegrationStripe processes subscription billing for Pro plans ($8/month, $80/year). DRESSED participates in Stripe Climate, contributing 1% of subscription payments to carbon removal.
• Amazon Associates ProgramcoreGTM or Marketing PartnerDRESSED participates in Amazon Associates Program. When users click product links in AI Shopper feature, DRESSED earns commission on qualifying purchases at no additional cost to users.
• Google Sign-In (OAuth)coreTechnology or IntegrationGoogle account sign-in option for app authentication. Alternative to emailed sign-in link. Data access scope under Google review for calendar integration.
• SupabasecoreTechnology or IntegrationBackend database and authentication infrastructure for DRESSED. Stores user profiles, wardrobe data, outfit history, and style preferences.

Scale indicators2 records

Recent moves6 records

Expansion highlights5 records

Emerging players

• Ask Angelica: AI shopping assistant that recommends clothing from existing online retailers based on user style. Comparable AI Shopper layer (intent-to-product) and similar consumer-grade go-to-market.

Direct peers

• Acloset: AI-powered digital wardrobe and outfit recommendation app for consumers. Closest direct competitor on the core 'closet cataloguing + daily outfit suggestion' proposition, though without DRESSED's depth on calendar and weather integration.
• Stylebook: Long-standing iOS closet-management app with outfit planning, packing lists, and statistics. Comparable on wardrobe digitalization and outfit building; less AI-native but well-established with fashion-forward consumers.
• Indyx: Wardrobe cataloguing and styling platform that digitizes closets and pairs users with stylists. Overlaps on the wardrobe-as-data concept and bridges to human stylists, contrasting DRESSED's pure-AI model.
• Wishi: Online personal styling service pairing users with human stylists for outfit recommendations. Targets the same 'wardrobe paralysis' pain point but executes via human stylists rather than Vera.
• Cladwell: Capsule-wardrobe and outfit-recommendation app focused on helping users wear more of what they own. Direct overlap on the 'wear what you already have' thesis that DRESSED's marketing leans into heavily.
• Save Your Wardrobe: AI wardrobe management app with garment recognition, repair/cleaning service hooks, and outfit suggestions. Comparable AI-vision-and-recommendation stack with B2B elements.
• Pureple: Outfit planner and wardrobe app that auto-generates outfit combinations and tracks what users wear. Closest functional analogue on the combinatorial outfit-generation experience.

Broad incumbents

• Stitch Fix: Public-category incumbent in AI-assisted personal styling and apparel subscription. Much broader scope (curated boxes, inventory, logistics) but addresses the same consumer problem of 'what should I wear' and is referenced directly in DRESSED's user testimonial ('like your own Stitch Fix').
• Vue.ai: Enterprise AI fashion platform for retailers covering styling, recommendations, and catalog tagging. Overlaps on the underlying AI-for-outfit-recommendation technology, but sold B2B to retailers rather than D2C.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• Instagraminstagram.com/trydressed

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about DRESSED