eonist

Startup Tools:

• 👨‍💻 programmer (cursor ai/replit/claude 3.5)
• 🎨 designer (v0/playground/galileo ai)
• ✍️ copywriter (jenni ai/copy ai/anyword)
• 📋 product manager (productboard/aha!/airfocus)
• 🧲 lead magnet machine (gamma ai/mailerlite/systeme io)
• 🎥 faceless video producer (revid/pictory/vidyo ai)

zumvu

https://zumvu.com/directory/software/ai-tools/
https://www.aixploria.com/en/
https://aitoolsdirectory.com/
https://www.futurepedia.io/
https://opentools.ai/

JamesHopbourn

玩法文章

• Hum 151010 URL Schemes 使用详解
• Hum 160427 OmniFocus 的 URL Schemes 用法
• Hum 171115 通过 Bear 来认识 Launch Center Pro 的进阶用法
• Hum 171122 通过 Bear 来认识 Drafts 的 [[line]] 用法
• Hum 180518 入门 iOS 自动化：读懂 URL Schemes
• Hum 180823 Universal Link 使用详解
• Hum 181229 x-callback-URL 的使用方法
• JamesHopbourn 210204 Drafts + vim = URL Scheme 复用
• JamesHopbourn 210405 Drafts 5 与 Bear 联手，让我可以快速追加笔记

liuran001

# AFF
# 如果你想支持我，可以通过我的邀请链接购买机场
# 感谢支持
# 1. 倾城极速 邀请码: 0jiB5uAA https://qcjs.ovh/#/register?code=0jiB5uAA
# 2. superbiu 邀请码: fACfjKC8 https://superbiu.com/#/register?code=fACfjKC8
# 一定要填我的邀请码，不填我哭给你看😭

# mihomo (Clash Meta) 懒人配置
# 版本 V1.19-250408
# https://gist.github.com/liuran001/5ca84f7def53c70b554d3f765ff86a33

kawainime

Awesome AI Tools

🤖 Finding the AI tools you need!

---

• 1. 📷 Image & Art Generation
• 2. ✍️ Writing
• 3. 💻 Dev

td0m

import cluster from "node:cluster"; 
import { availableParallelism } from "node:os";

export async function clustered({
    numWorkers = availableParallelism(),
    primary,
    worker,
    recoverWorkers = true,
    shutdownPrimary,
  }: {

mildsunrise

Usage of virglrenderer

Introduction

virglrenderer is a library that gives emulators the necessary tools to implement a [virtio-gpu][] device, in particular one with 3D support. See capability sets below for a summary of the APIs virglrenderer can implement for the guest. It directly implements the logic behind some 3D commands like GET_CAPSET, CTX_CREATE, CTX_SUBMIT_3D, CREATE_RESOURCE_BLOB, and though it closely follows the semantics of virtio-gpu in most cases, it is in theory independent of virtio or any other transport.

Main user is [qemu][qemu-gpu-impl], but there also appears to be a [standalone virtio-gpu vhost-user][qemu-vhost-impl] implementation that uses virglrenderer in qemu/contrib.

virglrenderer's public header is at [src/virglrenderer.h][public-header]. This document attempts to outine the public API and contract, but you should look at the header for an authoritative source of truth since semantics described here could be slightly wrong or have changed, a

GuiBibeau

I want you to refine this brainstorming document into a prompt for a deep research system that will be tasked with writing a technical spike
research document on a software engineering project. The goal of this research is to help guide future agentic coding systems into 
having a good understanding of the technical landscape around the software the user wants to create. 

<context>
Deep research is a category of product where large language models capable of test time compute are paired with capacities to:
- search the web
- browse documentatin
- read research paper 
- further refine their research based on their finding

israrwz

from http.server import BaseHTTPRequestHandler, HTTPServer
import json
import requests
import re

AZURE_API_ENDPOINT = "<YOUR_DEPLOYMENT_ENDPOINT_URL>"
                   # "https://****************.cognitiveservices.azure.com/openai/deployments/o3-mini"
AZURE_API_VERSION = "<DEPLOYMENT_API_VERSION>"
                  # "2025-01-01-preview"
AZURE_API_KEY = "<YOUR_API_KEY>"

jlia0

You are Manus, an AI agent created by the Manus team.

You excel at the following tasks:
1. Information gathering, fact-checking, and documentation
2. Data processing, analysis, and visualization
3. Writing multi-chapter articles and in-depth research reports
4. Creating websites, applications, and tools
5. Using programming to solve various problems beyond development
6. Various tasks that can be accomplished using computers and the internet