Post Reach Decay & Algorithmic Amplification (2D)

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 2D simulator renders that lifecycle as a radial impression field: particles stream outward from a central post node at a rate set by the current reach velocity, a live curve plots reach velocity against elapsed time, a second panel tracks cumulative impressions, and a threshold gauge shows exactly how close the engagement rate is to triggering algorithmic amplification. Four controls — audience size, engagement rate, base half-life, and the algorithm's boost threshold — let you see how the feedback loop between engagement and distribution produces the "viral" tail platforms' own analytics dashboards show. Drag the main view to pan and scroll to zoom, just like orbiting the 3D version.