... shift from human-readable to machine-parseable - is it the same docs working for both, or does agent-optimized structure (MCP-style schemas, structured examples) become a separate layer? Comment from fmerian(@fmerian): @webrenew  absolute fan of @Fumadocs . Fun fact: @Mintlify actually is a sponsor. Comment from Matt Englehart(@matthewenglehart): I'd wait 5 min per question for accuracy and sensibility over a rushed poorly generated response. Comment from Charles Howard(@webrenew): @fmerian  I noticed that - super cool ... ... schemas (like MCP) specifically to help AI agents understand complex hardware-level constraints better? Comment from Ghost Kitty(@ghost-kitty-9650200): Comment Deleted Comment from Charles Howard(@webrenew): I like the product, but don't get the valuation here. Fumadocs

... 26th, ranked #4 Product of the Day @Next.js   16 launched on October 24th, ranked #2 Product of the Day @Trigger.dev   v4 launched on October 23rd @Ito  launched on October 22nd, ranked #5 Product of the Day @Fumadocs   16 launched on October 22nd @DevReadyKit  launched on October 22nd @Metorial  launched on October 22nd @DeepSeek  launched on October 21st, ranked #4 Product of the Day @RightNow AI  launched on October 21st @diny  launched ...

... founders and builders to uncover what's powering modern startups: tech stacks, GTM, and approach to AI. See full report here Some results that struck me: AI coding tools are indispensable for startups, and not just @Cursor (27%) and @VS Code (25%). Vibe coding tools like @Lovable , @bolt.new , and @v0 by Vercel are also common. Most startups are already integrating models like @OpenAI (39%) or @Claude by Anthropic (21%), especially for semantic search, summarisation, and customer support. Half are building ... ... Jibin Victor John(@jibinvictorjohn): 5 and 6. There is a slight variation to the 6th point, 61% founders also believe some big tech company could make a better product (most of the time, small projects often outperform their big competitors