Post Reach Decay & Algorithmic Amplification

Every social media post follows a reach curve: a burst of impressions right after publishing, then exponential decay as the initial audience is exhausted — unless the engagement rate clears the platform's amplification threshold, in which case the recommendation algorithm re-injects the post into new feeds and extends its effective half-life. This simulator renders that lifecycle in 3D: impression particles radiate outward from a central post node at a rate set by the current reach velocity, a live curve plots reach against elapsed time, and four controls — audience size, engagement rate, base half-life, and the algorithm's boost threshold — let you see exactly how the feedback loop between engagement and distribution produces the "viral" tail platforms' own analytics dashboards show.