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Product Hunt ·

telemetry.dev

Observability for AI agents

Product Hunt ·

Flatbread

Share the whole agent run, not a screenshot

Simon Willison ·

Quoting Ted Sanders

In general, LLM performance is incredibly multidimensional. There's no guarantee of a fixed ordering where the model that is best at math is also the model that's best at jokes. Despite that complexity, much of the variation in performance is explained by just a single variable: model size. In general, models that are bigger will (a) be more performant / reliable, (b) cost more per token, and (c) have better recall of esoteric facts. As you note, our models are ordered: Luna < Terra < Sol

Product Hunt ·

AssemblyAI

text-to-speech built for voice agents

Product Hunt ·

AutoShelf 2.6

Automate any folder on your Mac with if-this-then-that rules

TechCrunch ·

Microsoft recorded $10 billion in revenue from OpenAI

Microsoft said it made $10 billion in revenue from commercial arrangements with OpenAI, including revenue-sharing payments, in the quarter ending September 30. It underscores the still-enormous financial dependency of the partnership.

SEC EDGAR ·

8-K - TECHPRECISION CORP (0001328792) (Filer)

Filed: 2026-10-28 AccNo: 0001104659-26-119706 Size: 258 KB Item 1.01: Entry into a Material Definitive Agreement Item 9.01: Financial Statements and Exhibits

SEC EDGAR ·

8-K - Cactus, Inc. (0001699136) (Filer)

Filed: 2026-10-28 AccNo: 0001628280-26-067952 Size: 553 KB Item 2.02: Results of Operations and Financial Condition Item 9.01: Financial Statements and Exhibits

SEC EDGAR ·

8-K - Star Equity Holdings, Inc. (0001210708) (Filer)

Filed: 2026-10-28 AccNo: 0001210708-26-000090 Size: 1 MB Item 1.01: Entry into a Material Definitive Agreement Item 3.02: Unregistered Sales of Equity Securities Item 7.01: Regulation FD Disclosure Item 9.01: Financial Statements and Exhibits