Just saw that Surf officially announced the completion of a $15 million Series A funding round, led by veteran crypto fund Pantera Capital, with Coinbase Ventures and DCG participating. Clearly, such a level of capital infusion usually indicates more than just a concept investment; it reflects a clear product-market fit. This prompted me to set aside my other tasks and deeply experience this capital-backed “Crypto AI Collaborator” to see what real changes it can bring to actual workflows.
My core testing revolves around a few key scenarios for a daily researcher: quick project due diligence, finding early Alpha signals, optimizing trading strategy ideas, and tracking potential interactions and airdrop opportunities. Scenario 1: Completing an initial project due diligence in five minutes In the past, when I received a new project, I had to open blockchain explorers, data platforms, social media, and official documents, switching back and forth, which was time-consuming and labor-intensive. With Surf, I tried asking directly: “Please analyze the recent social discussion heat in the Arbitrum ecosystem, which is high but the protocol is ranked outside the top 200 by market cap, and identify potential protocols.” The report generated by Surf was more professional than I expected. It not only listed several specific protocols that meet the criteria but also included recent on-chain active address growth data, sentiment summaries from relevant core KOLs, and the relevance of these protocols within the DeFi portfolio. This is equivalent to a preliminary analysis summary that a junior analyst might produce in half a day. The official said they have already generated over 10
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Just saw that Surf officially announced the completion of a $15 million Series A funding round, led by veteran crypto fund Pantera Capital, with Coinbase Ventures and DCG participating. Clearly, such a level of capital infusion usually indicates more than just a concept investment; it reflects a clear product-market fit. This prompted me to set aside my other tasks and deeply experience this capital-backed “Crypto AI Collaborator” to see what real changes it can bring to actual workflows.
My core testing revolves around a few key scenarios for a daily researcher: quick project due diligence, finding early Alpha signals, optimizing trading strategy ideas, and tracking potential interactions and airdrop opportunities.
Scenario 1: Completing an initial project due diligence in five minutes
In the past, when I received a new project, I had to open blockchain explorers, data platforms, social media, and official documents, switching back and forth, which was time-consuming and labor-intensive. With Surf, I tried asking directly: “Please analyze the recent social discussion heat in the Arbitrum ecosystem, which is high but the protocol is ranked outside the top 200 by market cap, and identify potential protocols.”
The report generated by Surf was more professional than I expected. It not only listed several specific protocols that meet the criteria but also included recent on-chain active address growth data, sentiment summaries from relevant core KOLs, and the relevance of these protocols within the DeFi portfolio. This is equivalent to a preliminary analysis summary that a junior analyst might produce in half a day. The official said they have already generated over 10