KiboShib (KIBSHI)
Feb 11, 2026, 09:27:50 PM UTC (2/11/2026)
KiboShib (KIBSHI) is the first-ever AI-generated meme coin, born from an irresistibly powerful concept. On December 8th 2022, ChatGPT was tasked with creating a meme coin, conceptualizing the offspring/child of Kabosu (DOGE) as the mother and Shiba Inu (SHIB) as the father. The AI's creative ingenuity went further by suggesting a logo design, which was then fed into OpenAI's DALL·E to generate the cute and iconic Kibshi logo. The age of AI is upon us, and KiboShib stands for exploring the capabilities of AI with a hopeful outlook.
On-Chain Verification
Other KIBSHI Trades by This Strategy (3)
About This Trade
Stratium's automated copy trading strategy bought 973,136.782 KiboShib (KIBSHI) for 0.3201 SOL. This BUY was triggered when a curated high-performing wallet entered a position in KIBSHI — Stratium detected the on-chain transaction and replicated the trade proportionally within milliseconds. This trade was executed in 1375ms and is fully verifiable on-chain via Solscan at the transaction signature linked above. Every figure on this page is derived directly from on-chain Solana data — no estimates, no off-chain APIs. KiboShib (KIBSHI) is a Solana SPL token traded on decentralized exchanges including Jupiter and Raydium. Its mint address is AQRYM8fazT4SEsWS6sCffGWDxy1w9mnM7fYmDonRc4q6. Copy trading this token through Stratium replicates the entry and exit timing of curated on-chain strategies — without ever exposing your private key or requiring CEX custody. Stratium is an automated Solana copy trading bot that mirrors trades from curated high-performing wallets. When a tracked strategy enters or exits KIBSHI, Stratium replicates the trade proportionally in the user's wallet within milliseconds. You have access to your private keys and can export them at any time. Start at t.me/stratiumsol_bot to copy trades like this automatically.
Past performance does not guarantee future results. Trading memecoins and other Solana tokens involves significant risk of loss. The data shown reflects the performance of strategies being copied, not individual user accounts — your results will vary based on deposit size, scaling factor, and market conditions. Never trade with funds you cannot afford to lose.
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