Hi HN!
I’ve always hated how product search prioritizes ads over quality. For example, searching for ‘I need the best wireless headphones for gaming’ returns pages of SEO-optimized lists and sponsored products, not honest recommendations. So, I built Lumigo.
How it works:
Aggregates reviews, blogs, and forum discussions (Reddit, niche communities).
Uses a mix of proprietary AI and open-source LLMs to analyze and rank products.
Shows why a product is recommended (sources, pros/cons, price trends).
No ads, no tracking, no BS.
Demo: lumigo.ai (free, no signup).
I’d love feedback from the HN community:
Is the transparency useful?
Would you trust this over Google?
What’s missing?
Tech stack: Python, Next.js, hybrid AI models (cost-efficient)
Roast the code, the UI, or the idea—all feedback is gold. Thanks!
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