Pikstage

TL;DR — Pikstage (https://pikstage.com) is an AI product photography tool with a real moat: brand-locked consistency. We preserve your product's identity (label text, colors, shape) across 25+ generated scenes. Competitors break past ~10. Built in 30 days, $0 raised, solo founder in Vancouver.

The honest story:

I tried Pebblely, Flair, Photoroom, and Booth AI on the same candle photo. All four warped the label text by photo 8. For a Shopify seller, that's a non-starter — your product looks "mostly right" which is worse than no AI photo at all.

The technical fix is IP-Adapter image conditioning (vs. pure text prompting). I spent Day 4 of the build testing 4 different models with Claude scoring identity preservation. Flux Kontext Pro scored 8.25/10. Locked it in.

The stack:

- Next.js 16 on Hetzner ($5/mo)

- Supabase for auth + DB + storage (free tier)

- Replicate for image gen (~$0.05/image — this is where the costs go)

- Stripe + Resend + Cloudflare

- Total month-1 burn: ~$60 + image API costs

Pricing:

- Lite: $9.99/mo / 25 photos

- Starter: $14.99/mo / 100 photos

- Pro: $39/mo / 500 photos

- Agency: $149/mo / 2,000 photos

Unit economics: ~$0.05 cost per photo, charging $0.40/photo at Lite, $0.15 at Starter, $0.078 at Pro. 60-85% gross margin from day one.

What's hard:

- Distribution. I have a working product and zero customers. That's why I'm here.

- Onboarding. Customers don't know what "IP-Adapter" means or why to care. Wedge is hard to explain in <10 words.

- Glass / reflective products are still wonky. Working on it.

What I'd love from this community:

- Brutal feedback on the landing page copy

- "Here's the SKU you should test on" — happy to run free generations for any IH member

- DMs from anyone who's solved the "explain a technical moat in 5 seconds" problem

7-day refund, 1-click cancel, no card to start. pikstage.com

Building publicly here. Happy to share month-by-month numbers if anyone's curious.

— Dev