Interactive Simulator
Adjust the controls — the network, numbers and graph update live.
L = Lakh (1,00,000) · Cr = Crore (1,00,00,000). Starting people are counted in reach. “Potential reach” is theoretical and counts repeats; “unique reach” removes audience overlap.
Growth Graph
Round-wise new people and cumulative reach.
Scenario Comparison
One person starting, same rounds and success rate as above. Bar = log scale.
एक छोटा सा संदेश, लाखों लोगों तक पहुंच सकता है।
Share Your Result
Your simulation as a ready-to-post card.
Post this card to show how fast a single message can travel.
Math & Honest Notes
Effective growth per person: b = k × p (k = shares per person, p = success rate)
New people in round i: S × bi
Total potential reach (theoretical, repeats counted): T = S × (1 + b + b² + … + br)
Estimated unique reach: N × (1 − e−T/N) where N = audience pool. This stops the same person being counted again and again, so it can never exceed N.
- Sharing time assumes 1 round ≈ 1 day — a rough assumption.
- Real viral growth depends on real sharing behaviour, audience overlap (friends share the same friends) and platform limits such as forwarding caps and reach algorithms.
- If b is below 1, the chain fades out instead of exploding.
वास्तविक वायरल ग्रोथ असली शेयरिंग व्यवहार, ऑडियंस ओवरलैप और प्लेटफ़ॉर्म की सीमाओं पर निर्भर करती है। यह सिमुलेशन गणितीय अनुमान है, गारंटी नहीं।