IPOsMe tracks SME IPO subscriptions, listing gains and market sentiment for investors making time-sensitive decisions. A financial data product has an unusual failure mode: it does not have to go down to hurt someone, it only has to be stale.
A number on screen that is twenty minutes old looks identical to one that is current, which is exactly what makes it dangerous in a subscription window. Data age is tracked explicitly and surfaced rather than hidden, so an investor can see what they are looking at instead of assuming.
The traffic pattern of an IPO platform is thousands of people reading the same handful of numbers at the same moment. The architecture optimises for that shape — aggressive caching with correct invalidation on the write path, so a spike costs bandwidth rather than correctness.
A public data product does not need to know who you are. Not collecting identity where the product does not require it is the cheapest security control available, and it removes an entire category of incident before it can exist.
Listing gains and sentiment are derived figures. Where a number is computed rather than reported, the interface says so — a product that presents its own estimates as facts is a compliance problem waiting for a bad week.
React and Next.js with server-side rendering, because a data product has to be readable by search engines and fast on a mid-range Android phone on a weak connection — which is what most of the audience is actually using.
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