| My spideysense is tingling a bit. This thing is posted by someone who says here "I'm a data engineering student who recently decided to shift from a non-tech role into tech", who is apparently glad to have found a guide to help them see how the theoretical things they've been overwhelmed by work in the real world. Now here's the same user's first comment, posted a few weeks ago: [begins] That’s a fair point—DuckDB’s lightweight design and intuitive UX are big reasons it’s gained traction, especially for analytics on the desktop or in embedded scenarios. But when it comes to “primetime” in the sense of enterprise-grade analytics—think massive concurrency, complex workloads, and scaling across distributed environments— Exasol I see as one of the solution. DuckDB is fantastic for local analytics and prototyping, but when your needs move into enterprise territory—where performance, reliability, and manageability at scale become critical. [ends] Doesn't read quite so much like "overwhelmed previously-non-technical engineering student who'd be relieved to find some explanation of how things work in the real world", does it? And, astonishingly, that comment was on ... a post from the Exasol blog, just like this one. Which had a number of positive comments from new accounts (another user even remarked on it). Add to that the very LLMish feel of said user's comments (they made three on the previous Exasol post, all responding to others. Their openings: "Absolutely!", "That's a fair point—", and "Totally agree—") and the fact that one of the more transparently-astroturfing other comments also looks like it was written by an LLM, and the fact that the three HN posts this user has interacted with are (1) this one which they posted, (2) a previous instance of posting the same article, and (3) the aforementioned previous Exasol blog post ... and something definitely feels fishy to me. |