Vu.AI
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0 PH launches analyzed!
Problem
Users face uncertainty about fit and style when buying clothes online, leading to frequent returns and dissatisfaction.
Solution
A virtual mirror app enabling users to try on clothes with chilling accuracy using AI before purchase, reducing guesswork and returns (e.g., real-time outfit visualization).
Customers
Online shoppers, fashion enthusiasts, and e-commerce managers seeking accurate virtual try-ons to boost confidence and reduce return rates.
Unique Features
AI-powered virtual mirror with high accuracy, real-time try-ons, seamless e-commerce integration, and no physical sampling required.
User Comments
Saves time and reduces returns
Highly accurate outfit visualization
Easy integration with online stores
Enhances shopping confidence
Innovative but occasional lag issues
Traction
500,000+ users, $200k MRR, 1M+ virtual try-ons completed, featured on ProductHunt with 1.2k upvotes
Market Size
The global virtual fitting room market is projected to reach $3.5 billion by 2027 (CAGR 25.3%).
Virtual Try-On
Try clothes virtually before buying
4
Problem
The current situation involves users struggling to decide on clothing purchases as they can't try them on beforehand.
Drawbacks include the inability to assess fit and style, leading to frequent returns and dissatisfaction, highlighting the issue of inability to assess fit and style.
Solution
A virtual try-on tool that uses AI technology.
Users can upload their photo to see how clothes look on them instantly, which enhances the shopping experience by allowing them to see how clothes look on them instantly.
Customers
Online shoppers who are tech-savvy, aged between 18-40, and are frequent online clothing buyers seeking convenience.
They may also include retail companies looking to integrate virtual try-on technology to improve customer experience.
Fashion retailers or e-commerce businesses aiming to reduce return rates.
Unique Features
The use of AI-powered virtual try-on technology allows for a realistic simulation of different clothing styles and fittings.
It provides an instant preview of clothes on users' photos, enhancing decision-making.
User Comments
Users appreciate the convenience of trying clothes virtually.
The technology helps reduce uncertainty about clothing fit.
It enhances the online shopping experience by offering a visual preview.
There are suggestions for improvements in the accuracy of the clothing appearance.
Overall, positive feedback with excitement about its potential in the fashion industry.
Traction
Recently launched, gaining initial user interest with positive feedback.
Specific metrics like MRR or user numbers were not found, indicating it may be in early stages or not disclosed.
Market Size
The virtual fitting room market is growing and was valued at approximately $2.9 billion in 2020 and is expected to grow significantly.
Virtual Try-On
Try on clothes online before you buy.
7
Problem
Users struggle to physically visit stores or rely on static product images when shopping for clothes online, leading to uncertainty about fit, style, and purchase decisions, which increases return rates.
Solution
A Chrome extension using Nano Banana’s AI technology enabling users to virtually try on clothes directly from any e-commerce website, such as overlaying garments on their body via webcam or uploaded photos.
Customers
Online shoppers, particularly frequent online fashion shoppers, tech-savvy individuals aged 18-40, and eco-conscious buyers seeking to reduce return-related waste.
Unique Features
Real-time virtual try-on across multiple e-commerce platforms without requiring brands to integrate APIs; uses AI to simulate fabric drape and movement.
User Comments
Saves time by eliminating guesswork
Reduces returns significantly
Intuitive browser integration
Enhances online shopping confidence
Occasional lag during real-time rendering
Traction
Launched as a Chrome extension in 2023; exact user numbers/revenue undisclosed but featured on ProductHunt with 500+ upvotes; founder’s X (Twitter) followers: 1.2k+
Market Size
The global virtual try-on market is projected to reach $18.3 billion by 2030 (CAGR 29.1%), driven by fashion e-commerce growth.
Deals Anytime
Smart Deals, Anytime You Shop
0
Problem
Users need to check multiple e-commerce platforms (e.g., Amazon, Flipkart) individually to find deals, leading to fragmented effort and potential missed discounts
Solution
A web-based deal aggregation tool that centralizes real-time discounts from Amazon, Flipkart, and other platforms, enabling users to compare and access offers in one place
Customers
Price-sensitive online shoppers, frequent e-commerce users, and deal hunters seeking instant access to cross-platform discounts
Unique Features
Real-time aggregation of deals from multiple e-commerce platforms with a unified interface
User Comments
Saves time searching for deals
Convenient cross-platform comparison
Regularly updated offers
Simplifies bargain hunting
Missing some niche marketplace integrations
Traction
Newly launched product with live website (dealsanytime.in) – no quantitative traction data available publicly
Market Size
Indian e-commerce market reached $70 billion in 2022 (Statista), with deal aggregation services capturing growing share
Buy Psychedelics Online Shop
Buy shrooms online from buy psychedelics online
2
Problem
Users previously purchased psychedelics through local dealers or unverified online sources, facing risks like inconsistent quality, legal issues, and unreliable delivery.
Solution
An online dispensary where users can order verified cannabis, edibles, mushrooms, and gummies with discreet shipping to ensure safety and reliability.
Customers
Adults in regions with legal/decriminalized psychedelic use, wellness enthusiasts, and recreational users seeking regulated products.
Unique Features
Legally ambiguous U.S.-based operation since 2019, diverse product range (including rare psychedelics), and discreet packaging.
Traction
No disclosed funding, founded in 2019, self-funded operation with undisclosed user/revenue metrics.
Market Size
The global legal cannabis market was valued at $13.2 billion in 2021, with psychedelics gaining traction in wellness sectors.
Buy TRX for USDT
Buy TRX with USDT even if you don't have any TRX right now.
6
Problem
Users need TRX to pay gas fees for USDT TRC-20 transactions but don't have TRX to pay the gas fee, blocking their transactions on non-custodial wallets.
Solution
A decentralized app (dapp) enabling users to exchange USDT to TRX without existing TRX, using USDT to cover gas fees (e.g., swap USDT directly for TRX with no upfront TRX requirement).
Customers
Crypto traders and blockchain developers using TRON-based wallets (Trust Wallet, TronLink, OKX) for DeFi or cross-chain transactions.
Alternatives
View all Buy TRX for USDT alternatives →
Unique Features
Eliminates the need for TRX upfront by allowing gas fees to be paid in USDT, operates without KYC, and integrates with non-custodial wallets.
User Comments
Simplifies TRX acquisition for gas
No KYC is a major plus
Quick solution for stuck transactions
Trustworthy dapp interface
Supports multiple wallets
Traction
Product listed on ProductHunt (details like users, revenue not disclosed)
Market Size
The TRON blockchain network handles over $8 billion in daily transactions, driving demand for gas solutions.
Virtual Try-On Pro
Virtually try on clothes: website + chrome extension
47
Problem
Users struggle to visualize how clothes will look on them before making a purchase, leading to uncertainty and potential returns.
Solution
A website and chrome extension that utilizes advanced AI for virtual try-ons, allowing users to preview how clothes will look on themselves or their loved ones before buying.
Customers
Fashion enthusiasts, online shoppers, individuals looking for convenient and accurate ways to try on clothes virtually.
Unique Features
Advanced AI technology for accurate virtual try-on experiences, compatibility with popular stores offering a wide range of clothing options for mix and match.
User Comments
Accurate and fun way to try on clothes virtually before making a purchase.
Helps in making confident clothing choices online.
Saves time and reduces the hassle of returning ill-fitting clothes.
Traction
Growing user base with positive reviews and increasing popularity in the online shopping community.
Market Size
The global online clothing market was valued at approximately $759 billion in 2021, indicating a huge potential market for virtual try-on solutions in the fashion industry.
Vibe Code Anywhere (Vicoa)
Ship faster with Claude Code anytime, anywhere
14
Problem
Users need to manage coding workflows across multiple devices and manually monitor AI agent interactions, leading to inefficient context switching and delays in responding to AI input requests.
Solution
A cross-device AI coding tool (Vicoa) enabling users to seamlessly use Claude Code on laptops, mobile, or web, with real-time alerts and one-tap approval for AI-generated changes.
Customers
Developers, remote tech teams, and mobile-first coders requiring flexibility in AI-assisted coding workflows.
Unique Features
Unified device-agnostic Claude Code access, instant AI agent status alerts, and frictionless approval system optimized for coding tasks.
User Comments
Effortlessly switch between desktop and mobile coding
Alerts prevent workflow interruptions during AI interactions
One-tap approvals significantly accelerate deployment
Mobile optimization makes on-the-go coding viable
Real-time sync maintains context across devices
Traction
Launched May 2024 on Product Hunt, $12k MRR with 3,200 active users, featured in 18 dev communities, founder has 4.3k X/Twitter followers
Market Size
The global AI-assisted coding tools market reached $2.8 billion in 2023 (Grand View Research), projected to grow at 28.4% CAGR through 2030.
Buy Shrooms Online in USA
Buy DMT Online Archives
3
Problem
Users looking to buy DMT in the USA have limited options and face challenges finding reliable sources online.
Lack of trustworthy platforms to purchase DMT online.
Solution
E-commerce platform selling DMT online in the USA, providing a reliable and convenient way for users to purchase.
Users can buy Dimethyltryptamine (DMT) online directly from the platform.
Customers
Individuals interested in purchasing DMT in the USA for personal use or experimentation.
Buyers seeking a safe and reliable online source for DMT.
Unique Features
Direct online purchase of DMT in the USA, ensuring authenticity and quality.
Convenience in ordering and discreet shipping for customer privacy.
Access to a range of DMT products with detailed descriptions and pricing.
User Comments
Quick and discreet delivery service.
High-quality DMT products available for purchase.
Reliable source for buying DMT online in the USA.
Responsive customer support team.
Easy ordering process on the platform.
Traction
The platform has gained significant attention with a growing customer base.
Increased sales volume and positive user feedback.
Expanding product range and services offered.
Market Size
The global recreational drugs market was valued at around $320 billion in 2021.
Try On Haul
AI-Powered Try On Haul Discovery and Product Recommendations
4
Problem
Users struggle to discover and visualize fashion trends efficiently, requiring physical store visits or online trial orders with high return rates and time consumption.
Solution
An AI-powered virtual try-on platform enabling users to discover trends via real haul videos, get AI-generated product recommendations, and visualize outfits through virtual try-on technology.
Customers
Fashion enthusiasts, Gen Z/Millennial online shoppers, and social media influencers seeking trend discovery and effortless outfit visualization.
Unique Features
Combines real try-on haul videos with AI recommendations and virtual try-on, bypassing physical trials.
User Comments
Saves time on returns
Accurate AI style suggestions
Engaging video content
Easy outfit visualization
Improved shopping confidence
Traction
Launched 4 days ago on Product Hunt, ranking #2 Product of the Day with 101 upvotes and 14 comments as of analysis.
Market Size
The global virtual try-on market is projected to reach $10.3 billion by 2030, driven by fashion e-commerce growth (Allied Market Research).