130 All-Time Launches
7 2026 Launches
0.33 Avg Engagement
-68% YoY Change

Five years. 130 Fashion products. Every quarter analyzed. This page tells you whether the category is worth entering, worth investing in, or worth avoiding.

Launches Per Year

24 2021
19 2022
30 2023
28 2024
22 2025
7 2026

Quarterly Breakdown

QuarterLaunchesAvg Interest ScoreTop Product
Q1 2026 7 78 Soul 2.0
Q1 2025 3 32 dressme
Q2 2025 10 134 Lookverse.ai
Q3 2025 7 38 Glowzy
Q4 2025 2 83 SSENSELESS
Q1 2024 8 85 Drippy
Q2 2024 6 51 Outfit.fm
Q3 2024 6 100 OHMNI
Q4 2024 8 145 Tattoon App
Q1 2023 5 129 Deep Agency
Q2 2023 6 117 HopShop
Q3 2023 10 104 Cheyn
Q4 2023 9 158 Pixite.ai
Q1 2022 4 104 WANTD
Q2 2022 4 68 Eco-Index by Changing Room
Q3 2022 4 150 Styletyx

Market Direction

The Fashion category has been steady over the past 6 years of tracked data. Total launches went from 24 in 2021 to 7 in 2026.

Average engagement ratio across all Fashion launches: 0.33. Products above that line tend to solve a specific, painful problem. Products below it often entered a crowded space without clear differentiation.

Peak Activity

Fashion peaked in 2023 with 30 launches. That was 3 years ago. The decline since then could signal market consolidation, saturation, or attention shifting to adjacent categories.

Engagement Quality

Average engagement per product has risen from 0.21 in 2021 to 0.32 in 2026. That upward trend means the community is spending more time with each new launch. Either the products are getting better, or the audience is getting more selective. Probably both.

Strongest Quarter

The highest-performing quarter was Q4 2023, with an average interest score of 158 across 9 launches. Pixite.ai led that quarter.

B2B vs B2C Split

70 B2B launches (53%) vs 60 B2C (47%) across the full Fashion dataset. The split is close to even. Fashion serves both business buyers and individual users.

Year by Year

2021: 24 launches. Average interest: 91. Average engagement: 0.21. Top launch: unspun (168 interest).

2022: 19 launches (-21% vs 2021). Average interest: 99. Average engagement: 0.18. Top launch: Styletyx (352 interest).

2023: 30 launches (+58% vs 2022). Average interest: 127. Average engagement: 0.38. Top launch: Deep Agency (351 interest).

2024: 28 launches (-7% vs 2023). Average interest: 98. Average engagement: 0.23. Top launch: Tattoon App (346 interest).

2025: 22 launches (-21% vs 2024). Average interest: 85. Average engagement: 0.62. Top launch: Lookverse.ai (682 interest).

2026: 7 launches (-68% vs 2025). Average interest: 78. Average engagement: 0.32. Top launch: Soul 2.0 (133 interest).

Top Fashion Products by Year

2026

Fashion-Grade AI Photos Without the Camera Crew
133
Mar 2026 7 discussions
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Mix, match, and create stunning consistent campaign visuals
122
Mar 2026 11 discussions
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outfit engine for the modern runner
84
Feb 2026 9 discussions
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Generate clothing tech packs (image → PDF/Excel)
82
Feb 2026 6 discussions
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Your catalog. Re-shot. Instantly.
66
Mar 2026 51 discussions
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2025

App for personalized fashion discovery and shopping
682
May 2025 113 discussions
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Try on clothes and plan your outfit
181
Sep 2025 14 discussions
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Shop smarter, dress better, with real stylists by your side
174
May 2025 25 discussions
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The personal stylist programmed just for you
159
Jun 2025 25 discussions
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Quick AI outfit preview
131
May 2025 19 discussions
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2024

Realistic overlay of tattoos on people's bodies with AI
346
Oct 2024 36 discussions
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Anti-surveillance fashion from M.I.A
225
Jul 2024 22 discussions
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Get stunning clothing photos without hiring studios
214
Oct 2024 20 discussions
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Your virtual dressing room
207
May 2024 35 discussions
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Expedia for secondhand
159
Nov 2024 13 discussions
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2023

AI photo studio and modelling agency
351
Mar 2023 50 discussions
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We turn your imagination into wearable fashion
345
Nov 2023 61 discussions
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Hairstyle try on that saves you time & money
276
Dec 2023 71 discussions
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Create realistic try-on models for garments and accessories
258
Nov 2023 91 discussions
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Create 3D streetwear mockups in realtime
199
Aug 2023 55 discussions
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Frequently Asked Questions

Sum of all interest scores in the quarter divided by number of products. Simple average. We don't weight by category or product age.

Depends on what's declining. If volume drops but engagement rises, the market is maturing. That's often good for existing players. If both drop, the category may be dying. The quarterly breakdown on each page tells you which pattern you're seeing.

At least three. Two data points is a line, not a trend. We have five years of data for most categories, which is enough to distinguish real shifts from noise.

Current year launches compared to the same period last year. Positive means more products launching. Negative means the category cooled. Neither is inherently good or bad. A mature category with fewer but better launches is often healthier than one flooding the market with clones.

Launch volume drops but engagement per product rises. Fewer builders entering, but the ones that do find a more receptive audience. That's an opportunity signal. We flag it when we see it.

We report what happened. We don't predict. Five years of data shows patterns, but markets surprise people for a living.

Three common reasons. The market consolidated around winners. The technology matured and stopped generating new startups. Or builder attention shifted to adjacent categories. Usually it's a combination.

Fashion market moves, weekly

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