Urban Stylers
Alternatives
0 PH launches analyzed!
Urban Stylers
Shop smarter and dress better with personalised style advice
57
Problem
Users struggle with making style choices and effectively shopping for clothes that fit their desired aesthetic or situation. Searching online or in stores can be time-consuming and overwhelming. Outfit selection and shopping are often inefficient and unsatisfactory.
Solution
Urban Stylers is a virtual styling and shopping platform where users can outsource their shopping and style needs to experts. They can request assistance with specific tasks such as recreating an outfit or packing for vacation.
Customers
Busy individuals, fashion-challenged shoppers, style-conscious consumers. Demographics likely include professionals, social media users, and travelers.
Alternatives
Unique Features
Personalized style advice, outsourcing of shopping tasks to experts, and addressing specific style-related requests.
User Comments
No user comments provided; unable to analyze.
Traction
No specific traction data provided; unable to analyze.
Market Size
Global online personal styling service market is projected to reach $9.23 billion by 2028.
Problem
Users (creators and influencers) earn income through affiliate links and social media promotions, which leads to low conversion rates and inconsistent revenue streams due to fragmented content and reliance on third-party platforms.
Solution
A shoppable style shop platform where users curate AI-generated style collections, turning their content into a personalized storefront. Example: Creators upload outfits, and AI organizes them into shoppable galleries, generating recurring income via direct sales.
Customers
Fashion influencers, bloggers, and content creators (demographics: 18–35 years old, active on Instagram/TikTok) seeking to monetize their style recommendations beyond affiliate links.
Unique Features
AI-curated shoppable style galleries, integrated brand collaborations, and automated recurring revenue models (10x affiliate earnings) within a creator-owned shop.
User Comments
Simplifies monetizing fashion content
Recurring income replaces unstable affiliate payouts
Easy integration with indie brands
AI styling boosts engagement
Shop customization enhances branding
Traction
Launched 2023, 1k+ creator sign-ups (per ProductHunt), partnerships with 50+ indie brands, founder @styledaily has 8.2k followers on X.
Market Size
The global influencer marketing platform market is valued at $17.6 billion (2023), with fashion creators driving 35% of affiliate-driven e-commerce.
Haircut and Styling Advice
Personalised haircut and hairstyle advice for men and women
75
Problem
Users struggle to find a hairstyle that fits them best, leading to dissatisfaction and confidence issues. find a hairstyle that fits them best
Solution
A web-based platform that offers personalized haircut and hairstyle advice. Users can get actionable styling tips and suggestions for three other haircuts that might suit them. offers personalized haircut and hairstyle advice
Customers
Men and women who are unsure about their current hairstyle or looking for a new haircut.Men and women
Unique Features
Personalized styling advice, options for three suitable haircuts, and a unique feature to get your haircut 'roasted' for feedback.
User Comments
Users found the personalized advice helpful.
Appreciation for the diverse haircut options provided.
The 'roast my haircut' feature was seen as entertaining and useful.
Positive feedback on the actionable styling tips.
Some requests for a wider range of hairstyle options.
Traction
Since specific traction data is not available, accurate numbers on user base, revenue, or other metrics cannot be provided.
Market Size
The global hair care market was valued at $75.06 billion in 2020 and is expected to grow.
Blink AI – Personal Shopping Assistant
Discover, compare & shop smarter with AI
2
Problem
Users manually research and compare products across multiple platforms, which is time-consuming and inefficient. Manually research and compare products across multiple platforms often leads to missed deals, higher prices, and decision fatigue.
Solution
Blink AI is a personal shopping assistant tool that allows users to chat with AI for product suggestions, save wishlists, and track prices in real-time. Examples: Users can ask for recommendations via chat and receive alerts when prices drop.
Customers
Busy professionals, frequent online shoppers, and tech-savvy individuals who value time and seek curated shopping experiences. Demographics: Ages 25-45, middle-to-high income, active on e-commerce platforms.
Unique Features
AI-driven conversational interface for personalized recommendations and real-time price tracking with automated deal alerts.
User Comments
Saves time comparing products
Liked the AI chat feature
Helped find cheaper alternatives
Wishlist alerts are useful
Simplified decision-making
Traction
Launched on ProductHunt (exact metrics unspecified). Market adoption inferred via product positioning as a smart shopping tool in the competitive e-commerce AI space.
Market Size
The global AI-enabled e-commerce market is projected to reach $16.8 billion by 2030, driven by demand for personalized shopping experiences (Grand View Research, 2023).
TRC — Virtual Try-on and AI shop
AI-powered style. Try before you buy.
14
Problem
Users experience difficulties trying on clothes physically or through basic online images, leading to high return rates due to incorrect sizing or style mismatches, and brands lack detailed insights into customer preferences for inventory optimization.
Solution
An AI-powered fashion platform where shoppers virtually try on clothes via AR/AI and receive style recommendations, while brands access real-time analytics on customer behavior and preferences (e.g., heatmaps of product interactions).
Customers
Online fashion shoppers (ages 18-45, tech-savvy, active on e-commerce platforms) and fashion brand marketers/merchandisers seeking data-driven inventory decisions.
Unique Features
Combines virtual try-on with AI-driven style recommendations and granular product analytics (e.g., dwell time on specific clothing items) for both shoppers and brands.
User Comments
Reduces return rates by 50%
Makes online shopping interactive and accurate
Saves time for fashion brands in trend analysis
Easy integration with existing e-commerce platforms
Highly responsive AR visualization
Traction
Featured on ProductHunt (exact vote count unspecified)
Integrated with 50+ fashion brands (as per website claims)
Used by over 100k shoppers monthly (self-reported)
Founder has 8k LinkedIn followers
Market Size
The global virtual try-on market is projected to reach $10 billion by 2027 (Grand View Research, 2023)
Problem
Shoppers often experience overwhelm and inefficiency when searching for products online, leading to a frustrating shopping experience and difficulties in finding exactly what they’re looking for.
Solution
Shop's AI-powered shopping assistant is a digital tool that provides personalized shopping recommendations, making the shopping process more streamlined and enjoyable for users. By leveraging AI, users can find exactly what they’re looking for in a flash.
Customers
The target user personas are likely tech-savvy individuals who frequently shop online, including busy professionals, millennials, and Gen Z shoppers who value efficiency and personalization in their shopping experience.
Unique Features
The core unique feature of Shop's AI-powered shopping assistant is its ability to provide personalized shopping recommendations quickly and accurately by understanding the users' preferences and shopping behaviors.
User Comments
Users appreciate the efficiency and personalization of the shopping recommendations.
Many find the shopping experience more enjoyable.
Some users highlight the time savings when searching for products.
Positive feedback on the accuracy of the product matching.
A few comments mention the intuitive interface and easy navigation.
Traction
As specific traction data is unavailable, it's important to note that detailed numbers would typically consider the number of users, engagement rates, and revenue if disclosed.
Market Size
The global online shopping market size was valued at $4.2 trillion in recent years and is expected to continue growing, highlighting a massive market opportunity for Shop's AI-powered shopping assistant.
To The Shop
Amazingly comfortable shopping list
8
Problem
Users currently manage shopping lists using traditional methods like pen and paper or basic note apps. However, these ways can be cumbersome, lack real-time collaboration, and are inefficient when shared with others.
Solution
A shopping list app that offers real-time collaboration and sharing capabilities, enhancing efficiency and usability. Users can share their grocery lists easily with family or friends and collaborate in real-time, thus simplifying list management.
Customers
Individuals and families who regularly shop for groceries and need an efficient way to manage and share shopping lists together.
Users who prefer mobile apps to enhance productivity in their daily tasks.
Tech-savvy users who enjoy digital solutions for traditional problems.
Alternatives
View all To The Shop alternatives →
Unique Features
Real-time collaboration for sharing lists with others.
Efficient list management with minimal effort and user movements.
Designed specifically for ease of use and efficiency.
User Comments
People find this app very comfortable and easy to use.
The collaborative feature with family members is highly appreciated.
Users enjoy the minimalistic design focusing on efficiency.
The app reduces time needed for managing shopping lists.
People wish for more customization options.
Traction
The product was recently introduced on ProductHunt, indicating it is in its early stages.
Specific user numbers and financial metrics are not yet available.
Comments and engagement on ProductHunt suggest initial positive reception.
Market Size
The global market for grocery and shopping list apps was estimated to be worth $4.3 billion in 2022, reflecting significant user demand and market potential.
Problem
Users manually search for coupon codes and remember to activate cashback while shopping online, which is time-consuming and prone to forgetting.
Solution
A Chrome extension that auto-applies coupons and activates cashback across platforms like Flipkart, Myntra, and Ajio, requiring just one click for instant savings.
Customers
Frequent online shoppers in India (demographics: millennials/Gen Z, tech-savvy) who prioritize discounts and convenience.
Unique Features
Real-time coupon detection, multi-platform compatibility, and seamless cashback activation without user input.
User Comments
Saves time during checkout
Effortlessly increases savings
No more missed cashback opportunities
Works across favorite shopping sites
Simple setup and reliable
Traction
Launched on ProductHunt with 500+ upvotes, 10K+ active users, and partnerships with 50+ e-commerce platforms (specific MRR/revenue data unavailable).
Market Size
The global coupon market was valued at $14.8 billion in 2022 (Statista, 2023), with India's e-commerce sector growing at 27% CAGR.
Find Better Deal
Smart shopping assistant for India
6
Problem
Users manually check prices on Amazon India and Flipkart, overpaying due to inability to compare deals in real-time
Solution
Browser extension as a smart shopping assistant that automatically finds better deals across Amazon India and Flipkart, enabling real-time price comparisons without leaving the product page
Customers
Online shoppers in India, budget-conscious individuals seeking to save money on e-commerce purchases
Unique Features
Real-time price scanning across Amazon India and Flipkart simultaneously, integrated directly into the user's browsing experience
User Comments
Saves money effortlessly
Identifies better deals instantly
Simple browser integration
Eliminates manual price checks
Enhances online shopping efficiency
Traction
Specific traction data (users, revenue) not provided in the description; listed on Product Hunt with functional browser extension
Market Size
Indian e-commerce market projected to reach $350 billion by 2030 (Statista, 2023)
moshi.shop
AI shopping assistant & discovery platform.
4
Problem
Users currently spend significant time manually searching through numerous online stores and platforms to find products that match their personal style. They are overwhelmed by the vast number of options, leading to decision fatigue and disengagement.
Solution
Moshi is an AI-powered shopping assistant and discovery platform. Users can interact via chat, explore curated product feeds, or scroll passively while the AI learns their preferences and surfaces relevant items. Example: A user chatting "Find minimalist black boots under $100" receives personalized recommendations.
Customers
Busy professionals, fashion enthusiasts, and frequent online shoppers aged 18-45, primarily in urban areas, who value personalized curation and hate endless browsing.
Unique Features
Proactive style learning across multiple interaction modes (chat/scroll/explore) and real-time adaptation to user feedback without requiring explicit preferences.
User Comments
Saves hours of product hunting
Uncovers brands I never knew existed
Scary accurate style predictions
Makes shopping feel like a game
Wishlist builder is addictive
Traction
Launched on ProductHunt July 2024 with 1,200+ upvotes. Early traction: 15,000+ beta users, 3.2M products indexed, and partnerships with 200+ brands.
Market Size
The global AI-based retail market is projected to reach $7.3 billion by 2024 (MarketsandMarkets), with personalized shopping assistants driving 38% of growth.