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OKstays

Hotels ranked by real comfort, not commission

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Tired of noisy rooms, broken AC and uncomfy beds? OKstays scores 30,000+ hotels in 199 destinations on 67 comfort signals, like quiet, beds, shower, WiFi and AC, and ranks them by one Comfort Score. A hotel that fails a must-have (clean, comfy bed, good shower, bug-free, safe area) never gets ranked. Pick a travel style or the exact signals you need and get a shortlist with strengths and caveats. Also works inside Claude, ChatGPT and Grok. Free, no sign-up, and hotels can't pay to rank.

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PH · launched Oct 17, 2026 · 7 upvotes (top 5%)

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Could you build this?

Partial The front-end search interface is simple, but aggregating, cleaning, and extracting 67 nuanced comfort signals across 30,000+ hotels from vast amounts of review text requires extensive web scraping infrastructure and robust NLP pipelines.

What it would actually take: The stack would combine Next.js with Elasticsearch/PostgreSQL and background scraping workers (Playwright/Scrapy) harvesting review datasets across TripAdvisor, Google, and OTAs. The core challenge is large-scale scraping of aggressive anti-bot platforms and building NLP sentiment models to reliably normalize unstructured review text into consistent scores across 67 attributes. Maintaining this requires anti-scraping proxies, ongoing data maintenance, and substantial crawling compute.

Competitors

Other products that read as similar to this one : 100 launches clear the similarity bar, closest 8 shown.

Attention rank: #2 of 101 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 254 days after the earliest competitor.

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