perplexity
for AI product managers
Why this scored 0
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology
Outlook
low confidence · estimate, not a guarantee7-day
~0
range 0–12
14-day
~0
range 0–14
30-day
~0
range 0–19
Signal history
7-day window (free)projected trajectory (estimate, not a guarantee)
The evidence
The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.
- 116
A third of Perplexity's citations don't contain the number they're cited for
Citation gaps reduce confidence in Perplexity's AI answers. · for AI product managers
hackernewsSteadyai8d ago - 216
Three sites made 215,128 “best software” pages for AI. Perplexity cites them
AI content farms inflate search results, impacting SEO and trustworthiness. · for SEO engineers, content teams
hackernewsSteadyai8d ago - 314
@ai-sdk/perplexity — The **[Perplexity provider](https://ai-sdk.dev/providers/ai-sdk-providers/perplexity)** for the [AI SDK](https://ai-sdk
New ai provider · for ai devs
npmSteadyai58d ago