Projects · Kuvio Studio

Kuvio Studio

AI-powered image editing for real estate professionals, architects, and furniture makers – Virtual Staging, Declutter, and atmosphere transformations in seconds instead of days

Beta
Founder & Lead Developer · 2024 - present
TanStack StartReactTypeScriptDrizzle ORMPostgreSQLSupabaseGoogle GeminiTailwind CSS v4shadcn/uiBetter-AuthVercel

The Problem

Real estate agents show empty rooms, architects only have sketches, furniture makers need product photos in various settings. Traditional staging costs €500-2000 per property and takes days. US-based AI tools often lack GDPR compliance and don't understand the European market.

The Solution

Kuvio Studio transforms photos in seconds with specially trained AI prompts: Virtual Staging fills empty rooms, Declutter removes chaos, Twilight mode creates perfect evening atmosphere. One credit = one transformation. Hosted in Germany, GDPR-compliant, no hidden costs.

Results

6
AI Transformation Tools
1 Credit
Per Transformation
< 30 sec
Average Generation Time

Architecture

Full-stack TypeScript with TanStack Start for SSR and Server Functions. Google Gemini as primary AI model for image generation. Supabase for auth, storage, and PostgreSQL database – all hosted in Germany. Credit-based billing with transparent pay-per-use structure.

Challenges

  • Prompt engineering for consistent results: Each transformation needs precise prompts that work reliably across different input images
  • Anti-hallucination for furniture: The AI model must not alter existing fixtures – only add or remove what's requested
  • Intensity levels: Three levels (Minimal, Moderate, Full) for each tool, all requiring different prompt strategies
  • DACH market focus: Marketing and UX completely tailored to the German market, not just translated

Learnings

  • Spin-off from maklerupdate: The idea emerged while observing agent listings – empty rooms sell worse
  • Gemini is surprisingly good for image editing: Consistent results, good prompt adherence, affordable API costs
  • Credit system > Subscription for this use case: Users want to pay when they need it, not every month
  • B2B AI in the DACH market: GDPR compliance and German support are real differentiators