Today's Hot Deals
Never overpay again — every deal backed by real data
What it does
HotDeals tracks 54,000+ products and re-checks their prices every hour. Every pick passes a 4.0★+ verified-rating threshold, gets a 0–10 Deal Score built from price history, rating trends and popularity, and comes with a plain-language price verdict — so you know if it's actually a good time to buy. Live in US, CA, UK and ES.
Data-driven product reviews built from verified specs, recorded price history and real aggregate ratings. Expert picks starting at $35+ across electronics, home, outdoor and more.
Every recommendation is built from verified specs, recorded price history and real aggregate ratings across hundreds of products — so you don't have to dig. Every claim is data-driven and traceable. Considering a new pair of active noise cancelling headphones? This comprehensive guide breaks down what truly matters, from noise cancellation tech to battery life, helping you make a smart purchase within your budget. Navigating the world of external data storage can be complex, but this guide breaks down everything you need to know to make a smart purchase. We dive into key features, common pitfalls, and offer recommendations, featuring the Sandisk 1TB Extreme Portable SSD as a standout…from hotdeals.today
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- DOData on Shopify Stores2021 · shopgram.io · ▲51
- PPPrice per unit analysis on Amazon listings2019 · unitprice.org · ▲21
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Commerce · 26d ago · equitybee.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com