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@kien36666 • 3,227 subscribers

I'm a cryptocurrency investor #ETH #SOL #GMT #vana #NFT Admin GenZ DAO : The community shares insights about the project and engages in OTC trading 200BNB 30ETH

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After Season 1 of the #ZamaCreatorProgram ended, the Now @zama project entered Season 2 and quickly attracted strong attention from the community. At first, I was quite worried about having to compete with large accounts that had a huge number of followers. However, after carefully studying the project’s documentation, I realized that Zama has designed mechanisms to ensure fairness among accounts, regardless of whether they have many or few followers. That’s why I want to share this with everyone. Below is the concrete proof : Score calculation a) Definitions •ER% = (likes + retweets + quotes) ÷ impressions. •SF = log10(smart_followers + 1), max 3. •IMP = √impressions. •ENG = likes + 3×retweets + qW×quotes, where qW = 4–6 (depending on SRM). •SRM (Scale Rate Multiplier) = min(1, impressions ÷ 100k). •QE (reach efficiency) = log(1 + impressions/followers) × SRM, max 2. •Clamp = caps actual engagement so it doesn’t exceed the ER limit. b) E.g Input: 20k impressions, 300 like, 50 RT, 30 quote, 5k followers, 800 smart followers. Output: •ER% ≈ 1.9% •SRM = 0.2; qW = 4.4 •ENG = 582 •IMP ≈ 141.42 •SF ≈ 2.90 •QE ≈ 0.322 •ER_cap = 1.8% → Clamp ≈ 0.619

After Season 1 of the #ZamaCreatorProgram ended, the Now @zama project entered Season 2 and quickly attracted strong attention from the community. At first, I was quite worried about having to compete with large accounts that had a huge number of followers. However, after carefully studying the project’s documentation, I realized that Zama has designed mechanisms to ensure fairness among accounts, regardless of whether they have many or few followers. That’s why I want to share this with everyone. Below is the concrete proof : Score calculation a) Definitions •ER% = (likes + retweets + quotes) ÷ impressions. •SF = log10(smart_followers + 1), max 3. •IMP = √impressions. •ENG = likes + 3×retweets + qW×quotes, where qW = 4–6 (depending on SRM). •SRM (Scale Rate Multiplier) = min(1, impressions ÷ 100k). •QE (reach efficiency) = log(1 + impressions/followers) × SRM, max 2. •Clamp = caps actual engagement so it doesn’t exceed the ER limit. b) E.g Input: 20k impressions, 300 like, 50 RT, 30 quote, 5k followers, 800 smart followers. Output: •ER% ≈ 1.9% •SRM = 0.2; qW = 4.4 •ENG = 582 •IMP ≈ 141.42 •SF ≈ 2.90 •QE ≈ 0.322 •ER_cap = 1.8% → Clamp ≈ 0.619

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