Publicly launched on Google Play · iOS coming soon
AI-powered personal styling
Helping everyone dress with greater confidence.
DripMaxx analyzes outfit photos, delivers detailed ratings and personalized recommendations, and turns style improvement into a social, rewarding experience.
Company summary
Personal style guidance, on demand.
DripMaxx is an independently founded technology startup headquartered in Saint John, New Brunswick, Canada. The Android product is publicly available on Google Play, with its iOS and App Store release coming soon.
The problem
Useful fashion advice is difficult to access.
Most people do not have affordable, immediate access to personalized fashion guidance. Inspiration platforms show what others wear, but rarely explain how a user's own colors, fit, proportions, trend relevance, and preferences work together.
The solution
Scan, understand, improve.
DripMaxx turns an outfit photo into evidence-based scores and practical next steps. Users can follow their progress, join challenges, compare looks, and build confidence over time.
Mission
Make personalized, practical style guidance instantly accessible.
DripMaxx is being built as a global AI styling and fashion-discovery platform where people can improve their style, participate in communities, discover creators and brands, and make more confident clothing decisions.
The product
More than an outfit score.
A cross-platform consumer product combining personalized AI analysis, progress tracking, competition, and rewards.
Granular AI analysis
Independent scoring for color, fit, trend, personal style, and body compatibility, supported by category-level criteria.
Actionable recommendations
AI-generated suggestions explain what works and how a user can strengthen their outfit.
Personal progress
Scan history, outfit comparison, rankings, and rewards turn feedback into an ongoing style journey.
Social engagement
Country and style leaderboards, private groups, challenges, community voting, XP, and scan rewards.
Traction snapshot
Early users are putting DripMaxx to work.
Verified production snapshot as of July 21, 2026. Monthly activity is available through Google Play Console; DAU and retention are not yet measured.
User feedback
“I would use it if I’m going to a special occasion where there’s a theme and I need extra help to decide.”
— DripMaxx user
Founder feedback
Public Product Hunt feedback from Zvonimir Sabljic, creator of Pazi.
Independent public comment; not a paid partnership or customer review.Market and go-to-market
Built for a social, style-conscious generation.
The initial audience and launch strategy below reflect the founder's current direction and will evolve as DripMaxx gathers more user data.
Primary audience
Gen Z users ages 16–24 who are fashion-conscious and interested in self-improvement, fitness, dating, streetwear, confidence, and social media.
Secondary audience
Women seeking accessible outfit feedback, practical styling advice, and greater confidence in what they wear.
Market rollout
Canada is the launch market. The United States, United Kingdom, and Australia are the next markets under consideration.
Direct competitors
Current competitive research includes ULook, Twirl, Rate Outfit, Plan Your Outfit, and FitCheck.
Broader alternatives
Users may also turn to ChatGPT for outfit advice, Pinterest for inspiration, Instagram, TikTok, and fashion creators.
Indirect competitors
Adjacent AI self-improvement products include Rizz AI, Umax, and Cal AI.
Creator strategy
Start with micro-creators across fashion, gym, streetwear, sneakers, hair, college, and dating content.
Growth channels
Prioritize organic TikTok, Instagram, YouTube Shorts, Reddit, and micro-influencer content, with minimal paid advertising initially.
Brand partnerships
Brand deals and retail partnerships are not currently part of the plan and will remain open for future consideration.
Execution
Milestones reached.
Development began
The initial Expo product foundation and core experience were established.
AI and backend introduced
FastAPI, Supabase persistence, outfit scoring, recommendations, and scan history were implemented.
Social retention loop built
Leaderboards, groups, challenges, voting, XP, rewards, and bonus scan credits expanded the product.
Monetization integrated
RevenueCat subscriptions, entitlement validation, purchase restoration, and backend enforcement were added.
Launched publicly on Google Play
DripMaxx progressed from an idea and working beta to a publicly available Android product.
Public web presence launched
Marketing, privacy, account deletion, customer-support, and company pages went live.
Scoring recalibrated
Granular scoring, profile-aware weighting, deterministic calculations, and regression tests were implemented.
Company overview
The DripMaxx story.
Problem
Personalized fashion advice remains expensive, inconsistent, and inaccessible to most people.
Solution
Instant outfit analysis paired with understandable scores and practical recommendations.
Product
A photo-first experience with granular AI scoring, personalization, history, challenges, and rankings.
Engagement
XP, rewards, voting, private groups, competitions, and social sharing support repeat use.
Business model
Freemium access with a mobile monthly subscription managed through RevenueCat.
Technology
Expo and React Native, FastAPI, Supabase, Replicate AI, and RevenueCat.
Market
Gen Z users ages 16–24 are the initial focus, launching in Canada with organic, creator-led growth.
Traction
19 Google Play installs, 26 registered users, 51 outfit scans, and 64 social followers as of July 21, 2026.
Funding status
Bootstrapped and not fundraising. The company plans to remain bootstrapped until further notice.
Simple financial model
A transparent starting point.
These founder-approved planning assumptions are goals, not guarantees or actual performance. Operating expenses remain to be measured.
Planning inputs
- Reporting currency
- USD
- Monthly price
- $3.99 USD
- Estimated AI cost
- $0.03–$0.10 / scan
- Target paid conversion
- 5%
- Expected monthly churn
- 5–8%
- Operating expenses
- To be measured
- Funding
- Bootstrapped
User growth goals
| Milestone | Goal | Status |
|---|---|---|
| Month 1 | 1,000 users | Goal |
| Month 3 | 5,000 users | Goal |
| Month 6 | 20,000 users | Goal |
| Month 12 | 100,000+ users | Goal |
| Forecast note | Targets only; not guaranteed projections | |
Transaction dashboard
Revenue visibility, without customer exposure.
Founder story
Onyia Kamsiyochukwu Alexander
Onyia is a Software Engineering student at the University of New Brunswick and the founder of DripMaxx.
He created DripMaxx to help people improve their confidence through fashion. Too many people second-guess what they wear before going out, while useful fashion advice can be expensive, inconsistent, or inaccessible. DripMaxx gives people instant AI-powered outfit feedback so they can become more confident in how they dress.
Onyia built DripMaxx from idea to public launch—designing its backend, building its mobile experience, integrating its AI pipeline and payments, and publishing the product on Google Play while continuing his university studies.
The journey required learning mobile development, building and calibrating an AI pipeline, navigating Play Store publishing, integrating payments, and preparing the backend to scale.
“Confidence starts before you speak—it starts with how you feel about yourself. Our goal at DripMaxx is to help millions of people feel more confident every time they get dressed.”Connect on LinkedIn
The next chapter
Building the future of personal style intelligence.
DripMaxx is bootstrapped and focused on product development, responsible growth, and verified traction. The company is not fundraising at this time.
Connect with the founder