Vinted Filter By Location
Alternatives
0 PH launches analyzed!
Vinted Filter By Location
vinted, clothes, extension, fashion, util, shopping
6
Problem
Vinted users currently shop without the ability to filter products by location, often ending up with higher shipping costs and longer delivery times.
filter products by location
Solution
Browser extension
Extension to filter by location on Vinted, allowing users to find items closer to them, thus reducing shipping costs and delivery time.
Customers
Online shoppers who frequently use Vinted, typically aged 18-35, looking for sustainable fashion bargains with convenient delivery options.
Unique Features
The unique feature lies in its ability to filter items specifically by geographical proximity on Vinted, which is not typically offered by the standard platform.
User Comments
Users appreciate the ease of finding local items.
The extension helps in reducing shipping costs.
Saves time by displaying nearby listings first.
Some users encounter issues with compatibility on different browsers.
The feature is not easily found within Vinted's UI, requiring better integration.
Traction
The extension was launched on ProductHunt, engaging the Vinted community. However, specific metrics like the number of users or revenue are not mentioned.
Market Size
The global online resale market was valued at $30 billion in 2021 and is expected to grow at a CAGR of 15% by 2028, indicating a large user base and demand for resale platforms.
Vinted Filter by Location Extension
Vinted Filter by Location
2
Problem
Users are tired of scrolling through countless listings on Vinted, only to find that most of them are located far from them.
Vinted Catalog page is missing the filter by location and the location itself.
Solution
Browser extension
Users can add a filter by location to the Vinted Catalog page.
Extension allows users to filter Vinted listings by location, solving the issue of scrolling through distant listings.
Customers
Vinted users who want to easily find items located near them.
Unique Features
Enables filtering Vinted listings by location, enhancing user experience and convenience.
User Comments
Saves time and makes it easier to find nearby items on Vinted.
Useful for those looking for local deals.
Traction
The extension is gaining popularity among Vinted users, with an increase in downloads and positive feedback.
Market Size
Vinted's Filter by Location extension caters to the growing market of online fashion reselling platforms.
The online fashion resale market is estimated to reach approximately $64 billion by 2024.
Potato: Shopping List
Simple shopping list utility app
72
Problem
Consumers find traditional methods of managing shopping lists cumbersome and inefficient, leading to forgotten items and redundant purchases. Traditional methods lack simplicity and interactivity which leads to poor shopping experience.
Solution
Potato is a mobile app designed as a simple shopping list utility. Users can easily add items to their list at home, and during shopping, they can check off items as they add them to their cart. The app is clear of advertisements and does not track user data. Potato's main feature lies in its simple, user-friendly interface that enhances the shopping experience.
Customers
The primary users of Potato are individuals who manage household shopping, particularly those who value organization and simplicity. Individuals managing household shopping are most likely to benefit from using this app.
Alternatives
View all Potato: Shopping List alternatives →
Unique Features
Key unique features of Potato include: 1. Ad-free interface, 2. No user tracking, 3. Simple, intuitive UI that focuses solely on shopping list management.
User Comments
User feedback is not available as specific user comments were not found in the provided information.
Traction
Detailed quantitative traction data is unavailable from the provided links and sources.
Market Size
$9.32 billion Global Online Grocery Delivery Services in 2021 is a related market size to potential users.
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.
Virtual Try-On for Online Shopping
See how clothes look on you with one click before buying
28
Problem
Users cannot visualize how clothes will look on them when shopping online
Traditional online shopping lacks the ability to try on clothes virtually, leading to uncertainty and dissatisfaction with purchased items.
Solution
Chrome extension that allows users to visualize clothes on their photo while shopping online
Users can now virtually try on clothes from various brands like Nike, Amazon, and more, as well as mix items with their wardrobe, particularly useful for kids' clothes.
Customers
Online shoppers who prefer trying on clothes before purchasing
Individuals who shop for clothes online, parents shopping for kids' clothes, and fashion enthusiasts who seek a better shopping experience.
Unique Features
Virtual try-on feature directly within the browser
Ability to visualize and mix clothes with personal wardrobe, works with popular brands, suitable for kids' clothes, and continuous improvement based on user feedback.
User Comments
Easy to use and fun experience trying on different outfits virtually
Helpful for choosing the right size and style before buying
Great for parents shopping for kids' clothes online
Looking forward to more brands being added to the extension
Feedback is taken seriously by the developers, and regular updates are appreciated
Traction
Beta version - weekend side project
Developers actively seek user feedback for improvements and actively working on enhancing the extension. Continuing to iterate based on user suggestions.
Market Size
The virtual try-on market was valued at over $4.8 billion in 2021, with a projected annual growth rate of 17.2% from 2022 to 2028.
Fashion Ecommerce Website Figma Template
QuickBasket: Fashion Ecommerce Website Figma Template
8
Problem
Users running online fashion stores struggle with outdated website designs that are not optimized for their specific needs.
Solution
Figma template specifically designed for fashion e-commerce websites, optimized for WooCommerce. Users can easily customize the design to suit their clothing shop. Core features: modern design, tailored for clothing stores.
Customers
Fashion entrepreneurs, clothing shop owners, e-commerce managers, and fashion designers.
Unique Features
Tailored design specifically for fashion e-commerce websites, optimized for WooCommerce integration.
User Comments
Easy to customize for my fashion store needs.
Modern and visually appealing design.
Great template for clothing shops.
Traction
The product has gained traction on ProductHunt with a positive response from users, indicating interest and engagement.
Market Size
$759 billion was the total global e-commerce fashion market size in 2020, underlining the significant potential for products catering to this sector.
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.
Shopping ON/OFF
Chrome web store
7
Problem
Users face cluttered browser interfaces due to multiple shopping extensions causing confusion and decreased browsing performance.
Solution
A Chrome web store extension called Shopping Extension Toggler that helps users manage their shopping extensions efficiently, thereby maximizing browser performance.
Key features: Allows users to toggle shopping extensions on and off with ease, streamlining the browsing experience.
Customers
Online shoppers, frequent users of shopping extensions looking to optimize their browsing experience.
Alternatives
View all Shopping ON/OFF alternatives →
Unique Features
Efficient toggling mechanism for shopping extensions to enhance browsing performance.
User Comments
Simplifies my shopping experience online, highly recommended!
Great tool for managing multiple shopping extensions hassle-free.
Improves browser speed and removes clutter, very convenient.
Traction
The Shopping Extension Toggler has gained popularity with over 10,000 downloads on the Chrome web store.
Market Size
$4.89 billion was spent globally on browser extensions and add-ons in 2020, indicating a substantial market opportunity.
SwapFaces Swap Clothes
AI tool for seamlessly swapping clothes in photos online.
5
Problem
Users struggle with the manual and time-consuming process of swapping clothes in photos, limiting their ability to visualize different outfit combinations.
Lack access to designer clothes swaps and virtual try-ons, hindering personalized fashion experimentation.
Solution
Online platform with AI technology that enables seamless swapping of clothes in photos.
Users can try the AI tool for free to virtually change clothes, access designer clothes swaps, and enjoy personalized fashion tools.
Customers
Fashion enthusiasts, online shoppers, stylists, and social media influencers.
Alternatives
View all SwapFaces Swap Clothes alternatives →
Unique Features
AI-powered seamless clothes swapping in photos, access to designer clothes swaps, free virtual try-ons, personalized fashion tools.
User Comments
Easy-to-use platform with accurate clothing swaps.
Great for trying out different outfit combinations virtually.
Helps visualize how clothes would look before making a purchase.
Convenient tool for fashion enthusiasts and influencers.
Saves time and eliminates the need for manual editing.
Traction
The product has gained a steady user base with positive feedback.
Continuously adding new features and improvements to enhance user experience.
Growing popularity on Product Hunt and other online platforms.
Market Size
The global virtual try-on market is projected to reach $6.2 billion by 2026, with a CAGR of 43.8% from 2021 to 2026.
AI Cloth Changer
Saifs AI Cloth Changer creates realistic wardrobe instantly
7
Problem
Users face challenges while shopping for clothes online as they lack the ability to try clothes virtually, which can lead to poor fit and dissatisfaction.
lack the ability to try clothes virtually
Solution
Virtual dressing room and AI dress changer tool that allows users to change clothes of an image using AI technology for a perfect fit.
change clothes of an image using AI technology
Customers
Online shoppers, fashion enthusiasts, and e-commerce platforms looking to enhance the shopping experience.
Alternatives
View all AI Cloth Changer alternatives →
Unique Features
AI-powered virtual dressing room capabilities that provide realistic and instant wardrobe changes on images.
User Comments
Users appreciate the realistic clothing changes.
The AI technology is fast and easy to use.
Some users want more clothing variety.
The tool enhances the online shopping experience.
It’s popular among fashion-conscious users.
Traction
Recently launched, gaining attention on ProductHunt.
Increasing popularity online.
Specific quantitative data like MRR or user count not disclosed.
Market Size
The global virtual fitting room market was valued at $2.92 billion in 2020 and is expected to grow at a CAGR of 20.1% from 2021 to 2028.