
Listen to your favourite mixes from YouTube etc in one place

Camelcamelcamel
Keepa
Honey
ShopSavvy
idealo
PriceSpy
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Product research for shoppers: live prices at verified retailers, compatibility checks across whole builds, and Stashes with price-drop alerts and AI insights.

Website, pricing, platforms and company facts side by side.
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| Website | mixqueue.com | huntli.app |
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| Company | — | Startup from The Netherlands · 1 - 9 employees · 2026 |
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In their own words, as submitted to SaaSHub.


No description of MixQueue yet.
Huntli is an AI research agent for shoppers, built for the part of buying that search engines handle badly: the research. Describe what you need in plain language, such as "noise-cancelling headphones for an open-plan office, under €400, comfortable all day", and Huntli works the problem. It...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of Huntli yet.
As answered by people managing MixQueue and Huntli.
Huntli's answer:
Most shopping tools stop at putting a photo and a price next to a recommendation. Huntli does the research behind it: it reads the spec sheet, the reviews and owner forums, checks live prices at the shop, flags invented "was" prices, and scores every product against a fixed rubric for its category. For multi-part purchases like a PC build, it checks every part against the rest and tracks the budget.
Huntli's answer:
Shoppers making purchases worth getting right: headphones, a laptop, a PC build, a home-studio setup. People who would otherwise open forty browser tabs and start a spreadsheet, and people who just want a trustworthy answer without doing that.
Huntli's answer:
Huntli started as a spreadsheet. I made one for every big decision, and when I started shopping with AI, the recommendations were good but arrived as plain text. Checking what each item looked like, who sold it and whether it was any good still meant dozens of tabs and copying specs by hand. Huntli began by putting the real product next to the recommendation, then kept digging into spec sheets, reviews and forum threads. The Stash is that spreadsheet, automated. The hound in the logo is Alfie, the family dog.
Huntli's answer:
Next.js and React on Vercel, Supabase (Postgres, auth and edge functions), Tailwind CSS, and current large language models for research and analysis (Google Gemini today).
Huntli's answer:
Huntli runs on the same kind of AI as ChatGPT, Perplexity, Gemini or Meta's Muse: current large language models searching the live web. What differs is what's built around them. A chat leaves you an answer in a transcript. Huntli leaves you a Stash: every candidate priced live at the shop, fake "was" prices flagged, each product scored against a fixed rubric for its category and, for a build, every part checked against the rest. Share it and the other person sees it as it stands now; leave it and price-drop alerts keep watching. Muse can check out for you; Huntli stops at the decision. Price trackers like Keepa follow a product you've already picked, and coupon extensions like Honey step in at checkout. Huntli works earlier, on deciding what to buy. Free, no ads, no sponsored ranking, nothing to install.
Huntli's answer:
Share your experience with using MixQueue and Huntli. For example, how are they different and which one is better?