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$OKAI

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Snapshot Window: 2026-09-15 08:10 UTC · ← Back to Crypto Overview

Tracked Posts
1
Total Impressions
2.7K
Total Likes
3
Retweets & Quotes
1
Comments
1

Social Momentum Summary

Total Engagement - Comments: 1, Retweets: 1, Likes: 3, Impressions: 2717

Verbatim Community Citations & Social Evidence 1 source posts analyzed

@CryptoDiffer

Inside $IMD: tokenomics, agent seats, and the self-burning model Most meme tokens do nothing. imd.fun tries to do the opposite: every sell burns its own supply, stakers earn from those burns, and the whole thing is meant to bankroll 2,000 AI agents running

The image is a cryptodiffer analytics breakdown of the $IMD token (formerly Fren Pet, now on Ethereum), showing key metrics including a diluted valuation of ~$10.5M, $240K 24H volume, $1.5M liquidity, and a current price of $3.05, alongside a pie chart illustrating that 85% of supply is burned while the remainder funds agent compute (6%), stakers (4.5%), and node operators (4.5%). It complements the post by visualizing how $IMD's self-burning supply model—where every sell reduces the token's pool—funnels value into staking rewards and an on-chain swarm of 2,000 free-mint AI agent seats.

AI visual note: The image is a cryptodiffer analytics breakdown of the $IMD token (formerly Fren Pet, now on Ethereum), showing key metrics including a diluted valuation of ~$10.5M, $240K 24H volume, $1.5M liquidity, and a current price of $3.05, alongside a pie chart illustrating that 85% of supply is burned while the remainder funds agent compute (6%), stakers (4.5%), and node operators (4.5%). It complements the post by visualizing how $IMD's self-burning supply model—where every sell reduces the token's pool—funnels value into staking rewards and an on-chain swarm of 2,000 free-mint AI agent seats.

Contributing Voices for $OKAI

@Alpha_MEXC