Jabberwocky Labs

Quote of the Week, a classic by Samuel Clemens (aka Mark Twain). Full quote: “No, Sir, not a day’s work in all my life. What I have done I have done, because it has been play. If it had been work I shouldn’t have done it."

Quote of the week. This time a classic from Irish playwright and polemicist George Bernard Shaw (1856 - 1950). The full quote reads as follows: "The reasonable man adapts himself to the world: the unreasonable one persists in trying to adapt the world to himself.?Therefore all progress depends on the unreasonable man." ___________________________________ Note: George Bernard Shaw, winner of the the Nobel Prize for Literature, leaned into unreasonableness, but also frequently changed his mind. He can best be thought of as a living example of the aphorism "strong opinions, weakly held".

This quote of the week is an absolute classic by science fiction novelist and futurist Arthur C. Clarke. And for those of us who are product-building, this is probably the greatest litmus test there is: "Does my product feel magical?"

Universal truths always seem timeless. Perhaps that's why this Quote of the Week is often frequently misattributed to none other than Leonardo da Vinci. However, while it was not initially coined by anyone particularly famous, it entered the minds of many due to an Apple Computers ad for the Apple II in 1977. The quote investigator article is worth reading: https://lnkd.in/gi4GURQk Jabberwocky: Delivering data stack simplicity since 2024.

Quote of the Week. Yet another gem from Alan Perlis, the first recipient of the Turing Award (considered the Nobel Prize of Computing). Jabberwocky: Removing data stack complexity since 2024.

Quote of the week, from Alan Perlis, the first recipient of the Turing Award (considered the Nobel Prize of Computing). "Simplicity does not precede complexity, but follows it."

Most people aren't aware, but data architecture isn't nearly as straightforward as most would like to believe. Here's a slightly dated Andreessen Horowitz article about the Modern Data Infrastructure stack: https://lnkd.in/gicuF_WN It's a massive $50B a year domestic kludge job. So, if it's a kludge, why is it the way it is? Fortunately, the answer to that is much more simple. The answer is that today's magical user experiences need speed across multiple domains. Modern apps need fast writes to record data and iterate quickly over data science workflows, fast reads for analytics, fast relationship traversal for social data and network analytics, and fast KNN and Dot Product vector array math to power recommendation engines and RAG for LLMs. But what if there were a better way? What if there was a single data architecture paradigm that was faster at writes, reads, relationship traversal, and vector workflows than even use-case specific databases? Follow Jabberwocky Labs to stay tuned.