Show HN: Sentient – AI-powered customer feedback analysis with 95% accuracy

We built Sentient to automatically extract themes and sentiment from customer feedback without manual configuration. The system processes documents in sub-second time while maintaining 95% accuracy.

Built with Next.js 14 and FastAPI, using fine-tuned OpenAI models trained on millions of feedback examples. Key features include automatic customer segmentation, multi-format support (PDF, DOCX, CSV), and real-time processing.

The core insight: most tools analyze individual reviews instead of understanding customer journeys and behavioral patterns. Sentient connects feedback sentiment to business outcomes through multi-phase AI analysis.

Technical approach uses theme detection, emotion recognition, and intelligent caching for enterprise-grade performance.

Try it at: https://data-decoder.vercel.app/