BlogViral

Show HN: Classify mechanical faults using Contrastive Language-Audio Pretraining https://ift.tt/jJWpwE0 July 1, 2026 at 11:57PM

Show HN: Pglayers – PostgreSQL extensions as stackable Docker layers https://ift.tt/tI63pQA July 1, 2026 at 11:50PM

Show HN: PMB – local memory for coding agents that shows if it is used https://pmbai.dev June 29, 2026 at 10:37PM

Show HN: NodePad – AI agent on a canvas instead of a linear chat https://node-pad.com/ June 30, 2026 at 07:47PM

Show HN: My 13-year-old built an ant colony tracker He's 13 years old. He wanted to track his own ant colonies — growth, feeding, humidity, and other metrics. He built the whole app himself with some help from AI tools; I just helped him deploy it to a server. Would love to hear your feedback! https://formicarium.es June 30, 2026 at 11:48PM

Show HN: fenic – LLMs as dataframe operators, query meaning and structure Hey friends. I'd like to share a project that's dear to me. fenic is a dataframe API with LLMs added as first-class citizens, a classic lazy dataframe API extended with new operators that are backed by LLMs. What this gets you is the ability to work with structured and unstructured data in the same context. Most importantly, the LLMs aren't integrates as opaque UDF black boxes. They're exposed as "semantic" operators that the planner can reason about alongside the classic ones. (There are examples and code snippets on the repo to see how everything works together) Why build this? I'm a data infra / systems person. When LLMs showed up, what I saw was a new type of compute that changes the characteristics of the workloads we deal with. I wanted to experiment with how our current systems can absorb these new workloads and compute types, and what it would take to make the DX as seamless ...