I built a multilingual news aggregator for European tech in 6 languages (EN, DE, FR, ES, IT, NL), filterable by audience (consumers, businesses, government) to help users discover relevant European alternatives.

A few interesting technical challenges:

PATTERN-BASED IMAGE GENERATION Generic AI images all look the same ("holographic businessman with laptop"). I solved this with a JSON database of 60+ concrete visual patterns—context-aware selection prevents repetition. Funding news → coins/contracts, security → locks/shields. Much more visual diversity. Still needs tweaking though.

GRADUAL SITEMAP GROWTH FOR NEW SITES Daily news pipeline generates lots of content. Challenge: Google indexes new sites slowly—exposing all 2K+ URLs at once resulted in 1-3% indexing rate. Solution: Dynamic rolling window in sitemap—only expose top 50 most recent articles (300 URLs), gradually increasing to 100 → 150 → 200 over 6 months as site builds authority. Result: Indexing rate improved to 10%.

AUTOMATED TRANSLATION PIPELINE RSS aggregation → AI summaries and translation with context-aware prompts → human review queue. Still tweaking quality per language pair.

STACK: Next.js 15 with Turbopack, PostgreSQL, deployed via Sliplane@Hetzner which works pretty ok.

STATUS: 1+ month post launch, 80 pages indexed, 100+ European apps featured (Mollie, Wire, Ecosia, LanguageTool, etc.)

FEEDBACK WELCOME ON: • European news sources I'm missing? • Better approaches to multilingual SEO? • Translation quality red flags? • How to optimize for LLM discovery (ChatGPT, Claude, etc.)?