EA-SHOP
Alternatives
0 PH launches analyzed!
Problem
Users face challenges with traditional online shopping platforms in terms of smooth and enjoyable shopping experiences.
Solution
An innovative online shopping platform, EA-SHOP, designed to provide a seamless and pleasant shopping experience.
Customers
Online shoppers looking for a unique and enjoyable shopping experience online.
Alternatives
Unique Features
Personalized shopping experience tailored to the individual preferences of users.
User Comments
User-friendly interface and great shopping experience.
Highly recommended for those seeking a unique shopping experience.
Efficient and enjoyable online shopping platform.
Great selection of products and smooth navigation.
Responsive customer service and quick delivery.
Traction
The traction data for EA-SHOP is not available.
Market Size
The global e-commerce market size was approximately $4.28 trillion in 2020.
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.
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.
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.
New Illustration Styles
Create illustrations in your style or trending styles
13
Problem
Users need custom illustrations for branding and marketing but rely on designers or generic stock images, which are time-consuming, expensive, and lack personalization.
Solution
AI illustration generator tool that lets users create custom illustrations in their preferred or trending styles, e.g., generating brand-aligned visuals for websites or ads.
Customers
Designers, marketers, startup founders, and content creators who need affordable, scalable, and tailored visuals.
Alternatives
View all New Illustration Styles alternatives →
Unique Features
Style customization (user-defined or trending), commercial licensing, fast generation (seconds), and high-quality outputs.
User Comments
Saves time and costs for small businesses
Diverse style library
Intuitive interface
High-resolution downloads
Consistent branding support
Traction
Launched 2023, featured on Product Hunt, 1,500+ upvotes, 10,000+ users, $15k MRR, 50+ trending styles available
Market Size
The global digital illustration market is projected to reach $5.2 billion by 2030 (Grand View Research).
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)
Vestis Boutique
Traditional sarees
2
Problem
Users previously purchased traditional sarees through physical stores or limited online options, facing time-consuming shopping experiences and restricted access to diverse styles.
Solution
An online saree shopping platform where users can browse and purchase a wide range of traditional and modern sarees at competitive prices, such as silk, cotton, and designer collections.
Customers
Women interested in traditional Indian fashion, including brides, professionals, and younger demographics seeking affordable and trendy sarees for events or daily wear.
Alternatives
View all Vestis Boutique alternatives →
Unique Features
Curated collections across multiple styles, budget-friendly pricing, and a user-friendly interface for seamless browsing and purchasing.
User Comments
Affordable prices compared to physical stores
Wide variety of designs
Easy checkout process
Fast delivery options
Responsive customer service
Traction
Launched recently on ProductHunt; specific metrics like revenue or user count are not publicly disclosed.
Market Size
The Indian ethnic wear market is projected to reach $12.8 billion by 2025, driven by growing demand for traditional attire.
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.
iMean Shopping
Your AI shopping copilot for finding the best deals & prices
735
Problem
Online shoppers often struggle to find the best deals and compare prices across different platforms, leading to missed discounts and overspending on products.
Solution
iMean Shopping is an AI-powered shopping copilot that automates the shopping process by finding discounts and deals, comparing product prices across platforms, and extracting key product data for refined planning and analysis.
Customers
Online shoppers looking for deals and price comparisons across various platforms to save money.
Alternatives
View all iMean Shopping alternatives →
Unique Features
Automated deals and discounts discovery, price comparison across platforms, and extraction of key product data for analysis.
User Comments
Saves time on searching for deals
Effective in finding the best prices
User-friendly interface
Significant savings on purchases
Highly recommended for frequent online shoppers
Traction
Currently, there is limited publicly available quantitative data on iMean Shopping's traction such as user numbers or revenue.
Market Size
The global online shopping market was valued at $4 trillion in 2020 and is expected to reach $6.5 trillion by 2023.