PriceIQ
See the real cost of getting paid.
What it does
PriceIQ helps businesses, agencies, and teams model the decisions which shape their outcome, by revealing true net revenue for the selected payment provider (Stripe, PayPal, Adyen, Checkout) and its products — including fees, FX, VAT, platform costs, break-even, and volume projections. It is a decision-support tool for pricing strategy and margin sensitivity — not a billing engine or financial advice.
Does a similar job
all alternatives →- WBWe built PriceLevel to find out what companies pay for SaaS2024 · pricelevel.com · ▲532
Hey HN! Christine and Steven here. As a PM and engineer, we’ve both evaluated and purchased a lot of software. One of the biggest frustrations was figuring out how much it would cost us without having to go through the sales process. When we did have a quote, we had no idea if we were getting a good deal or ripped off. We built a site where you can see what other companies are actually paying for SaaS and enterprise software. Buyers contribute prices via quotes, pricing proposals, and other documentation to ensure quality. We unlocked Talkdesk for Show HN users so that you can use the…




- WBWe Built a Dashboard for Merchants to Track and Optimize Payment Fees2025 · hypersense.io · ▲15
Hello HN Viewers, So this all started when we got super frustrated trying to figure out payment fees. You know how it goes – you have got a bunch of payment providers, each with their own fee reports, and trying to make sense of all that mess is quite challenging and complex. We thought, why not just build something that pulls all those fee reports together, cleans them up, and makes them actually understandable? So we built a tool that pulls in fee reports from multiple providers, standardizes fee names, and makes it easier to understand all fee types. You can drill down to see the exact…
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Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
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