Investor deck

Seven slides.
One ask.

Problem01

People scroll fashion all day and buy almost none of it.

  • Search only works when you already know the answer.
  • Size charts describe clothes, not bodies. Returns follow.
  • Resale runs on screenshots, DMs, and blind trust.

Auption . discovery led fashion for India

Market02

India is the last large market still up for grabs.

  • [FOUNDER: India fashion e-commerce TAM, sourced]
  • [FOUNDER: organised resale SAM, sourced]
  • Beachhead: metro Gen Z resale and drop culture.

Auption . discovery led fashion for India

Solution03

One feed. Fit you can trust, sellers you can verify.

  • Digital Twin: build once, fit accuracy everywhere.
  • Trust Layer: verified photos, seller history, local handover.
  • New and resale ranked in the same feed.

Auption . discovery led fashion for India

Moat04

The twin gets sharper every time someone shops.

  • Fit data compounds per user and per garment. It cannot be scraped.
  • Trust graph is local and reputational, not a database anyone can copy.
  • Creator storefronts lock supply and distribution to the platform.

Auption . discovery led fashion for India

Team05

Solo founder, full stack of the problem.

  • [FOUNDER: your name, one line identity]
  • [FOUNDER: prior role and outcome]
  • Product, design, engineering, and distribution in one person.

Auption . discovery led fashion for India

Ask06

Raising 100K to reach listing density in three cities.

  • 40 percent: supply and creator acquisition.
  • 35 percent: twin accuracy loop and trust tooling.
  • 25 percent: 18 months of runway for a solo operator.

Auption . discovery led fashion for India

Next07

Back the feed India buys from.

  • Live product, not a mockup.
  • Creator engine already self serve.
  • hello@auption.com

Auption . discovery led fashion for India