NicheScope
Honest Etsy Competitor Research Tool
Etsy doesn't publish seller data. No sales figures, no revenue, nothing.
So when I looked at the research tools sellers actually use — EverBee, eRank,and others — I noticed they all show "estimated" monthly sales and revenue for other people's shops anyway. Presented in dashboards, with charts, lookingcompletely authoritative. But if Etsy doesn't publish that data, those numbers are always a model's guess dressed up to look precise.
That bugged me enough to build the opposite: NicheScope, a free Chrome extension that only shows what's actually on the page. Listing counts, review counts, ad density, price spread — real numbers you can verify yourself by just looking, with nothing invented or modelled.
It's for two kinds of Etsy sellers: people validating a product idea before committing to it, and existing sellers trying to actually understand their competition and pricing in a niche they're already in.
No account, no subscription, runs entirely on-device. Free: [nichescope.uk link]
Genuinely curious what people think — especially if you've been burned by trusting an "estimated revenue" number that turned out to be way off.
3 Comments
The “fake precision” problem is real. If the underlying sales data isn’t public, showing a precise estimate can make a model look more trustworthy than it actually is.
I like the decision to focus on verifiable signals instead. Curious whether sellers find the raw signals sufficient for validation, or eventually want some form of modeled interpretation on top.
Really good question, and honestly the thing I've gone back and forth on the most.
Where I've landed so far: raw signals alone, without any framing, ask too much of the seller — nobody wants to stare at "65 listings, £19 median price, 125 median reviews" and do the mental math themselves every time. So NicheScope does interpret the data — it'll tell you something like "competition score: 20/100, open market" or break out pricing into zones (undercut / sweet spot / premium). That's real interpretation, not just a raw dump.
The line I'm trying to hold is: interpret the data that's actually there, but never manufacture data that isn't. A competition score built from real listing counts and ad density is a judgment call on real numbers. An "estimated monthly revenue" is a number that doesn't exist anywhere and gets invented to look precise. The first one I'm comfortable making calls on. The second one I think is actively misleading, however confident the UI makes it look.
So my honest answer: sellers do want interpretation, you're right — they just don't necessarily know to ask for "verifiable interpretation" specifically, they just want something that isn't quietly guessing. That's the bet, anyway. Still early days, so genuinely open to being wrong about where that line should sit.
The “verifiable interpretation” distinction is interesting. I’d be interested in continuing the conversation by email — what’s the best email to reach you on?