About
Read enough reviews of price monitoring software and the same complaints repeat: the scraping broke and nobody said anything, the product matches were wrong, the useful features cost extra, and support took three days. None of that is a hard technology problem. It is a set of choices about what to spend attention on. Price Intelligence is what happens when you make the other choice each time.
How we decide
These are not values on a wall. Each one costs us something, which is how you can tell they are real.
The most common failure in this category is not a wrong price. It is a price that quietly stopped updating while the dashboard still looked fine. We spend more engineering time on detecting and repairing collection failures than on anything else, and we show customers the incident log rather than hiding it.
A MAP violation is only actionable if you can show what was advertised, when, and by whom. So every violation carries a timestamped capture stored write-once. The same principle applies to our own claims: where we state a fact about the market, we date it and say where it came from.
Add-on pricing in this category means the quote is rarely the headline number. Matching, MAP evidence, repricing and API access are on every plan including the cheapest. You pay for catalogue size and refresh rate. That is a harder business to run and a much easier one to trust.
We are not an Amazon buy-box repricer and we do not sell a demand-forecasting optimization suite. Being clear about the edges saves everyone a wasted trial, and it is the fastest way to be useful to somebody we cannot help.
Who builds it
Ashesh Dhakal
Founder
I build and grow software products. Before this I built SVG AI, a free-tool-led site that reached roughly 2,500 organic keywords and 358 referring domains, ranking first for terms like “svg code to png”. The playbook there was the same one running here: build something genuinely useful, publish what you learn, and let the product do the selling.
I am not a former pricing executive and I am not going to claim otherwise. What I bring is the engineering side of this problem — reliable data collection, honest matching, and a product that tells you when it is wrong. The pricing expertise on this site comes from doing the work in public: the guides are written to be checkable, and the methodology page says exactly how our data is gathered.
What being small means for you
Transparency
Everything we assert about our own data, and everything we assert about other vendors, is documented and dated.
Methodology
How competitor prices are collected, validated and matched, and what we do when collection fails.
Comparisons
Vendor comparisons where every competitor fact is sourced from their own published pages and dated.
Security
What data we hold, where it lives, and what we do and do not claim about certification.
Connect your store, match your catalogue and get your first competitor comparison in the same session.
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