SkinGPT AI is a personal styling and wardrobe management app that uses AI to analyze skin tones and catalog clothing items on iOS.
Product velocity
Maintenance
Daily rank 🇺🇸
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Lifestyle
Sentiment
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Nemesis
CLOSET
The App DNA
What makes this app unique?
Users hire the app to reduce the cognitive load of daily outfit selection, though the manual cataloging requirement creates a significant barrier to sustained usage.
For Individuals seeking automated personal styling assistance and wardrobe management tools.
Key features
Analyzes user selfies to identify color palettes and clothing styles matching skin tone and features
Catalogs clothing items via photo uploads to create a searchable digital inventory
Generates outfit combinations based on occasion, time of day, and user-defined vibe
How much does it cost?
The app is currently free with no visible IAP or subscription gates.
Velocity
Maintenance developmentopaqueShow more...
The app launched on April 7, 2026, and has not received any subsequent updates in the following 35 days. With only a single release recorded, the development cadence is currently at the maintenance level. There is no evidence of ongoing feature development or live operations at this time.
Who built it?
Humanity Founders
2 apps tracked · Lifestyle
FaceGPT: Reverse Image SearchUser Sentiment
What do users think recently?
How are ratings & reviews evolving?
Not enough recent reviews to extract reliable themes yet.
Read the full review analysisCompetition
Competitive landscape for SkinGPT AI
How's the Lifestyle market?
SkinGPT operates as a free utility in the Lifestyle category, lacking the historical user data and cost-per-wear analytics that define the market leader, CLOSET.
Read the market outlookThe rivals identified
By junggyu son
CLOSET is a direct competitor that dominates the wardrobe management space by combining deep analytics with automated outfit generation, mirroring SkinGPT's core value proposition.
- Offers advanced cost-per-wear analytics that provide financial insights into a user's existing clothing collection
- Established user base of over 23,000 reviewers creates a significant data flywheel for outfit recommendations
UNIFORMContender
Outfit Maker - Pronti AIContender
AI Outfit Maker - OnStyleContender
Alvin's Club - AI fashionContenderUnlock the head-to-head verdict: where this rival wins, and where it loses.
Access the full report for freeThe Analyst's Read
Key takeaways for SkinGPT AI
Where is it heading?
The personal styling market is consolidating around apps that provide immediate utility through automated inventory and social inspiration. SkinGPT is currently exposed due to its manual-entry requirement, so the team must pivot to automated cataloging to survive the initial user-onboarding phase.
- The app launched recently with a focus on AI-styling, but lacks the retention loops required to compete with established lifestyle apps.
- Manual inventory entry creates a high friction barrier, which historically leads to rapid user drop-off in the wardrobe management category.
The SWOT
- AI-driven skin-tone analysis provides hyper-personalized color suggestions
- Streamlined interface focuses on AI-first interactions
- B2B partnerships with fashion retailers for virtual try-on
- Integration of cost-per-wear analytics to increase user utility
Next best moves
Ship automated clothing recognition because manual photo-cataloging is the top friction point → increase user retention
+ 1 more prioritized moveThe counter-intuitive read
The lack of monetization is a strategic error…
Read the full takeFeature gaps
Cost-per-wear analytics (available in CLOSET) +2
Since the last report: The app's intelligence profile shifted from a general observation of friction to a concrete, prioritized roadmap focused on automated cataloging and cost-per-wear analytics.
Bottom line
SkinGPT offers a strong AI-driven personalization engine, but it lacks the retention-focused utility of established rivals, so the team must prioritize automated cataloging to lower the barrier to entry and prevent immediate churn.
Unlock 3 critical frictions, 2 market threats, 1 more prioritized move and the analyst’s take.
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