惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

博客园 - 叶小钗
雷峰网
雷峰网
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Martin Fowler
Martin Fowler
MyScale Blog
MyScale Blog
博客园 - 聂微东
有赞技术团队
有赞技术团队
The Cloudflare Blog
T
Tailwind CSS Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
月光博客
月光博客
T
The Blog of Author Tim Ferriss
D
Docker
L
LangChain Blog
Vercel News
Vercel News
C
Check Point Blog
博客园 - Franky
博客园 - 三生石上(FineUI控件)
Recent Announcements
Recent Announcements
H
Hackread – Cybersecurity News, Data Breaches, AI and More
量子位
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
V
V2EX
人人都是产品经理
人人都是产品经理

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
I built a free, open-source video downloader because ever...
Zayd Elbassri · 2026-06-22 · via DEV Community

A few months ago I just wanted to save one YouTube video. What followed was the usual circus: a site with three "Download" buttons (two were ads), a pop-under, a fake virus warning, and a quiet little cap at 720p unless I "upgraded." I closed the tab feeling like I needed to scan my laptop.

So I built the thing I actually wanted. It's called VidSnag, it's free, it's open source, and it does exactly one job without trying to trick you. I want to share how it works, because the architecture is the whole reason it can stay clean.

The core idea: do the download on the user's machine

Most "online downloaders" run the download on their server, then hand you the file. That server costs money, so the page around it gets monetized with ads, and ads are where all the pop-ups and fake buttons come from. It is the business model leaking onto your screen.

VidSnag flips that. It is a small desktop app, so the download happens on your own computer. There is no webpage in the middle, nothing to monetize, and nothing gets uploaded to a stranger's server. No ad page means no pop-ups, by design rather than by promise.

The stack

It is deliberately boring, which is a compliment:

  • yt-dlp does the heavy lifting. It is the open-source engine that knows how to extract media from YouTube and around 1,800 other sites.
  • pywebview + WebView2 renders the UI: plain HTML and CSS in a native window using the WebView2 runtime that already ships with Windows. No bundled Chromium, so the app stays smaller.
  • ffmpeg is bundled for merging streams and MP3 extraction.
  • PyInstaller packs it into a single Windows .exe.

The app makes zero network calls for its own UI. The only traffic it ever generates is the actual download you asked for.

The part nobody warns you about: SmartScreen

When you ship a new, unsigned Windows .exe, SmartScreen shows a scary "not commonly downloaded" banner. I assumed I had done something wrong. I had not. That banner is about reputation, not malware. It says nothing about whether the file is safe.

Since I could not buy instant reputation, I made the app trivially verifiable: the full source is on GitHub, every release ships with a published SHA-256 checksum, and the build has a clean VirusTotal scan. If you do not want to trust me, you do not have to. Read the code and check the file.

What it does

Paste a link, pick a quality up to 4K (or MP3 for audio), choose a folder, download. Single videos, whole playlists, and batches. No account, no sign-up, no nag screen. Funded by optional donations instead of ads.

Try it or read it

If you have ever rage-closed a downloader site, this is my attempt to make that unnecessary. Feedback and PRs welcome. If you have shipped an unsigned Windows app and have a better answer to the SmartScreen reputation problem than "wait and publish a checksum," I would love to hear it.