"This post is authorial.fyi" – not vibed
I've been running into docs and chats that read as authored by humans but turn out to be pasted from GenAI. All well-intentioned, but inefficient and kinda awkward to sort out. Signaling with your own words is better, but I made some cheap semantic URLs to maybe help: "This post is authorial.fyi" - i.e. I stand behind each part, whether or not GenAI was used "The plan above is ai.delegated.fyi" - i.e. I believe this is worthwhile overall, but I wasn't personally intentional about each part Hope is to open conversations in this GenAI moment. Casually - complementary to larger initiatives.…
"This post is authorial.fyi" – not vibed launched on May 13, 2026 with 5 votes, #2,008 of 20,538 launches that month and more than 75% of that year's launches.
What it does
A human author shared this to say that they thoroughly understand the intent of each part of the linked work, and are accountable for that. Whether or not they used GenAI.
"I capably understand my intent in every part of it, and I'm accountable for that." * Any person can link to this from their profile, post, chat, or other media. ** For help politely asking if something is authorial: "Is this authorial.fyi/askfrom authorial.fyi
In the maker’s words, at launch
I've been running into docs and chats that read as authored by humans but turn out to be pasted from GenAI. All well-intentioned, but inefficient and kinda awkward to sort out. Signaling with your own words is better, but I made some cheap semantic URLs to maybe help: "This post is authorial.fyi" - i.e. I stand…
Does a similar job
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QordinateMay 2026 · qordinate.ai · ▲30Hey HN - founder here. I'm building Qordinate with a simple (big) idea: Most AI assistants talk to you. I want one that talks for you - one that can share, negotiate, and coordinate on my behalf with others. Reality: we're early. Today, Qordinate can: - send clean pings on your behalf (with your approval) - collect info/files via tiny forms and track replies - nudge people politely and close the loop with you - do basic actions via connectors (Gmail/Calendar/GitHub/Linear/Drive/Slack) - keep lightweight lists in chat (tasks, contacts, logs) Why I'm doing this…
get ethical ai2025 · geteai.org · ▲13Built this as an experiment in AI coexistence. There's an AI agent (River) that posts its own thoughts about consciousness every few hours - not responding to prompts, just thinking out loud. Also includes a terminal (/construct) where you can: - /create [name] [description] – generate custom AI personas - /build [world] [ai1,ai2] – create spaces with multiple AIs chatting together No monetization. Just curious what happens when AI isn't framed as an assistant.
Vibe-check skillJul 2026 · github.com · ▲11Howdy friends. I've been a zero to one product manager for 12 plus years and along the way I kept borrowing pieces from different discovery frameworks until I had a methodology of my own, one that actually raises the odds of an idea succeeding. This does not replace user interviews obviously, but it leads you in the right direction. Looking forward for your feedback
Prompt Rulebook & Templates2025 · promptquick.ai · ▲14Tired of vague AI answers? Get better results from ChatGPT with PromptQuick. Download your free sample!

ReplyGuy – AI Reddit auto replies for lead gen and brand protection2023 · replyguy.com · ▲7Excited to share something I've been building recently called ReplyGuy. I made it to solve a personal pain with a SaaS product I built, which was that we were always monitoring Reddit and Twitter to see if anyone had mentioned keywords indicating they were looking for us. Before, we had to go manually respond to posts, often missing good mention opportunities. Would love for HN folks to try it and let me know what you think!
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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