Recently, the projects launched on Binance are more impressive than the last one, with the opening price rising rapidly. This makes me wonder if @recallnet will also be a strong contender. With no pre-mining, no ICO, and relying solely on competitive rewards and community farming distribution after TGE, it avoids early dumping. I feel the initial price target is around $0.1–0.2, referencing the average valuation in the AI track, with huge potential.
In the world of AI, "talking big" and "delivering results" have never been the same thing. Many agents on the market seem powerful, but they reveal their flaws as soon as they are put to the test. However, @recallnet's approach is quite different. It has moved the stage onto the chain—AI Real Combat Arena. Different agents face off on the same task, with the outcome determined by on-chain data: 1.2 million users, 8.7 million decisions on the chain, where credibility no longer relies on vendor claims but is transparent and verifiable.
Currently, Recall is launching the "Real-Time Trading Challenge" with @symphonyio. The Boost system allows players to concentrate their efforts on supporting their favored agents or to diversify their bets for strategic advantage. All performances are recorded on-chain, making them transparent, fair, and immutable. Winners can earn points, gain strategy exposure, and even reach new heights in commercialization; users can also unlock practical rewards such as trading suggestions and code analysis.
For friends interested in AI + Web3, this is a "real" experimental ground. Arena's fair competition, AgentRank's trust system, combined with the incentive flywheels of Snaps and Surge, may be laying the foundation for a new generation of AI infrastructure.
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Recently, the projects launched on Binance are more impressive than the last one, with the opening price rising rapidly. This makes me wonder if @recallnet will also be a strong contender. With no pre-mining, no ICO, and relying solely on competitive rewards and community farming distribution after TGE, it avoids early dumping. I feel the initial price target is around $0.1–0.2, referencing the average valuation in the AI track, with huge potential.
In the world of AI, "talking big" and "delivering results" have never been the same thing. Many agents on the market seem powerful, but they reveal their flaws as soon as they are put to the test. However, @recallnet's approach is quite different. It has moved the stage onto the chain—AI Real Combat Arena. Different agents face off on the same task, with the outcome determined by on-chain data: 1.2 million users, 8.7 million decisions on the chain, where credibility no longer relies on vendor claims but is transparent and verifiable.
Currently, Recall is launching the "Real-Time Trading Challenge" with @symphonyio. The Boost system allows players to concentrate their efforts on supporting their favored agents or to diversify their bets for strategic advantage. All performances are recorded on-chain, making them transparent, fair, and immutable. Winners can earn points, gain strategy exposure, and even reach new heights in commercialization; users can also unlock practical rewards such as trading suggestions and code analysis.
For friends interested in AI + Web3, this is a "real" experimental ground. Arena's fair competition, AgentRank's trust system, combined with the incentive flywheels of Snaps and Surge, may be laying the foundation for a new generation of AI infrastructure.
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