@Salestrics · X

u/Glittering_Stage4118 · Reddit

Building a company brain that can host any interface I’ve always felt like company knowledge is way too fragmented. Docs live in one place, support answers in another, marketing content somewhere else, and internal know-how is usually buried across tools, Slack threads, and old pages. Even when companies have the knowledge, turning it into the right interface for the right audience is still way too hard. I’ve been building Sophic to solve exactly that. At its core, Sophic

@JCheng557 · X

COMBO-001 上线了。 这是一个 AI 订阅最优搭配器。 只需要 - 月预算 - 使用强度（限额触发频率） - 主要使用场景 - 需要哪些特殊能力（生图、视频、音频、OCR 等） 我就会给你最优的订阅组合（Claude、Grok、Cursor、GLM 等），并控制在预算范围内。 不再为新模型纠结，也不再为用不上的订阅买单。 试试看 → #100个网站 #AI工具 #AI订阅

QWQ AI Assistant — 免费提供经过深思熟虑且富有详细推理的答案的 AI 助手，不需要登录

@VictorVDPN · X

@chaibytesai · X

@Banshee_1212 · X

building a deepfake detection platform,

playAutonomica · GitHub

Autonomica Rent GPUs and run any AI model, paid in SOL. Buy with $RAM and every $RAM spent gets burned.

AI Detector — 检查你的文本是否 AI 生成

brandon_grutkowski · Product Hunt

Aurora Glass-box Quantitative AI for Humans and Agents

@theshaunak_twit · X

ScopeShield ( A platform designed to kill scope creep for agencies and teams before it eats their margins. Built so you don’t forget scopes and stop doing unbilled work.

fran-mora · HN

I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.