A hype cycle describes the pattern of inflated expectations a new technology often goes through before either fading or maturing into real, productive use. The hard part is not naming the pattern — it is knowing, in the moment, whether a technology is on its way up for real or about to disappoint.
Attention is not evidence
Hype is a measure of attention. Adoption is a measure of behavior. The two often diverge: a technology can dominate headlines while almost nothing real is being built — and another can be quietly compounding in labs and patent filings with little fanfare. The signal is in the gap between the two.
What to weigh
To separate hype from adoption, look past the conversation to the evidence underneath it: Is research accelerating? Are patents being filed and cited? Is capital being committed by people who do their homework? Are products actually shipping and being used? When attention runs ahead of all of these, treat it as noise. When evidence is building faster than attention, you may be early to something real.
This is exactly what CanaryIQ's hype analysis is built to do — place each technology on its lifecycle and weigh the evidence behind the attention it is getting.