Half or Nothing

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How a Deal Aggregator Site Actually Works

2026-08-30 · Written by Checarlos Cruz · 8 min read

How a Deal Aggregator Site Actually Works

Most deal sites optimize for clicks, not accuracy, and it shows: expired codes, fake “original” prices, layouts built for ad impressions instead of actually helping you buy something worth buying. A deal aggregator site that's actually useful has to work more like a filter than a billboard.

I've run sites the loud way before, badges, timers, the works, and Half or Nothing is the version I'd actually want to shop on myself: hourly refreshes, a hard 50% cutoff, and no interface tricks doing the persuading for me.

Key takeaways

  • A deal aggregator's real job is filtering out marketing noise, not adding more of it.
  • 90-day price history is what separates a real drop from an inflated “original” price, not the badge on the card.
  • Hourly refreshes keep the feed matched to actual Amazon and eBay inventory, not a snapshot from yesterday.
  • Discovery works better without artificial urgency, no timers, no “X people viewing this.”
  • Hand-picked curation catches what an automated feed alone can't.

Signal vs. noise

A deal aggregator's job is to cut down how much time you spend hunting for something worth buying. Raw marketplace feeds are chaotic, thousands of listings that don't matter to you. Good aggregation strips that down to what does. Some sites, like Slickdeals, lean on community voting for this. That works, but it's subjective. I'd rather the number do the deciding.

Signal is a verified price drop where the math is solid. Noise is everything else: “limited time” banners that never actually end, original prices nobody ever really charged. A disciplined aggregator throws the noise out and keeps the signal.

What aggregation actually does

It pulls listings from Amazon and eBay, the two sources with the most price-drop density, into one feed with one consistent layout. You shouldn't have to learn a different UI for every retailer, and you shouldn't have to keep ten tabs open to compare. Only listings that clear a real quality bar make it in.

Why searching for this yourself doesn't really work anymore

Pricing on these platforms moves algorithmically now, a manual search only ever catches a single moment, not the trend. An aggregator watches continuously instead. And search results themselves are a trap: the top results for “best deals” are often affiliate-heavy content built to rank, not to actually save you money. A real aggregator skips that layer entirely and goes straight at the price data.

How the curation actually runs

Curation here is binary: a listing either clears the bar or it gets removed, nothing sits around half-verified. Expired listings get pulled immediately, which lines up with what the FTC expects from online sellers anyway, an advertised price should match reality.

Amazon and eBay push out more price changes in a day than any one person could track by hand, so this has to be automated at the base layer. But that doesn't mean it's hands-off: I go through the eBay feed myself before anything ships, and every single Amazon Pick is added by hand, because there's no automated feed there at all.

Why hourly, not a static list

A list published yesterday is a list full of dead links today, that's just how fast Amazon and eBay inventory actually moves. Refreshing every hour keeps the site matched to real stock instead of guessing. You can watch this happen directly on the hourly refresh.

Why this isn't a coupon site

Generic coupon databases run on user-submitted codes that fail at checkout more often than not, that's the honest failure rate of crowdsourced codes. Curation here works differently: on eBay, the discount is always already baked into the price, no code needed, full stop. On Amazon it's a little different, some real deals do involve a clip-or-enter coupon, and when that's the case I find it, verify it, and add it myself instead of trusting a scraper. Either way, the target is the same: real discounts, usually 50% or deeper, checked by hand.

Amazon and eBay aren't treated the same

They're the two biggest sources of price-drop data, but they don't behave the same way, so they don't get the same process. Even after a discount clears, a bad rating on the product still gets it dropped, an automated system can catch a price drop, but it can't judge product quality on its own.

Amazon specifically

Pricing here shifts constantly with demand and inventory, most of that movement is noise and gets filtered out, what's left is a real deviation from the 90-day average, weighted toward sellers with a real track record. Amazon locks automated tools out on purpose, which is exactly why this is the one category where I'm doing the legwork myself, item by item, instead of letting a script handle it.

eBay specifically

Open-box and refurbished categories on eBay tend to carry the deepest real discounts, better than standard used listings. I filter for “Buy It Now” only and skip auction-format listings entirely, since an auction price isn't a real price until it closes. The bar is the same 50% or higher either way.

How a listing actually gets verified

Five checks, every listing, no exceptions:

How an inflated price gets caught

MSRP gets set artificially high all the time, specifically to make a discount look bigger than it is. The real number worth trusting is the actual average selling price, not the sticker. If something usually sells for $80 but carries a $120 MSRP, a “sale” price of $90 isn't a deal, it's a price hike wearing a discount badge.

Why 50% is the actual line

A 10% drop is just normal retail noise, it happens constantly and means nothing. A 50% cut usually means real inventory clearance or genuine price competition, which is where the actual value is. It's a hard line: 49% doesn't make the page, 50% does. People ask why the site doesn't list more items, and the honest answer is I'd rather show fewer things worth clicking than pad the count with 20% off nothing.

Discovery without the pressure tactics

Good discovery should feel calm, a clean scan through data that's already been checked, not a countdown clock trying to rush your decision. Most sites lean on urgency because urgency drives clicks. A reliable aggregator does the opposite: it just shows you the number and lets you decide.

No fake pressure

“12 people viewing this right now” banners exist to short-circuit your judgment, not to inform it. A minimal interface with real pricing and real percentages doesn't need a “hot” badge, the number already tells you what you need to know.

Treat it like a live feed, because it is one

The Half or Nothing feed refreshes hourly specifically so new inventory shows up while it's still available, not after it's gone. Checking in regularly is genuinely the best way to catch something before it sells out.

Frequently asked questions

What's the difference between a deal aggregator and a coupon site?

A deal aggregator curates real, live price drops. A coupon site hands out codes that fail at checkout more often than they work. I don't run a generic coupon database, on eBay the discount is already baked into the listing, and on Amazon, when a real coupon exists, I verify it and add it myself as part of a hand-checked listing, not a scraped code dumped into a database.

How often do sites like this actually update?

This one updates every hour, which is what it actually takes to stay accurate in high-turnover categories like electronics. A list that only updates daily is stale within minutes once stock starts moving.

Are the discounts always real?

They're checked against 90-day price history before anything gets published, that's the whole point of the process. Plenty of sellers inflate the MSRP to fake a bigger discount, and that check is specifically built to catch it.

Why do some deals disappear so fast?

Because inventory is genuinely finite, and a deep discount (50%+) moves fast once people find it. Once stock hits zero, the listing gets pulled on the next refresh.

Does this factor in shipping costs?

No, and it can't really, shipping varies too much by location and by things like Amazon Prime membership to standardize. Always check the real total at checkout before you commit.

How would I know if this is quietly favoring certain brands?

Look at how varied the feed actually is. A biased aggregator keeps pushing the same few brands regardless of how they're actually performing on price. This one follows the discount, if something clears 50% and passes the quality checks, it's in, there's no paid placement happening behind that.

Is a curated site better than a community-voted one?

Curated tends to be more consistent, community voting is honest but it's still opinion, and opinion drifts with brand sentiment more than it tracks real value. A disciplined filter doesn't have that problem.

Can I find open-box or refurbished items here?

Yes, and they're often some of the best discounts on the site, especially in electronics, since that inventory is usually offloaded fast to free up warehouse space. Everything still has to clear the same bar, including “Buy It Now” availability.

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