TubeHunt.io
VidIQ
NexLev.io
TubeBuddy
Python
JavaScript
Java
C++
Rust
Ruby
PHP
Elixir
TubeHunt indexes millions of YouTube channels and lets you filter by niche, engagement, subscriber growth, and language. Perfect for YouTubers looking for inspiration, brands seeking influencers, and agencies analyzing competitors.
Key features: ๐ Discover channels in any niche ๐ Real-time metrics: subscribers, views, engagement ๐ Track viral channels before they explode ๐ Long-form and Shorts analytics ๐ฏ Competitor tracking
Built with PHP, Python, and YouTube Data API.
Start free โ https://tubehunt.io/
TubeHunt.io PythonNo TubeHunt.io videos yet. You could help us improve this page by suggesting one.
TubeHunt.io's answer
Daily updates built around channels, not single videos. We are designed for operators running fleets of faceless channels, not hobbyists optimizing one upload. That changes everything: micro-niches appear and disappear fast. Weekly or monthly cycles miss the window. We do not.
TubeHunt.io's answer
Individual creators and small operators running multiple faceless/dark YouTube channels. Most are solo or micro-teams. They treat YouTube as a business, not a hobby, and need intel on what niches are heating up across many channels at once.
TubeHunt.io's answer
Competitors (VidIQ, TubeBuddy, Nexlev) were built for video SEO. TubeHunt is built for channel operations. If you run multiple dark channels and need to spot trends, track competitor fleets, and move before a niche saturates, the tool needs to update daily and think in fleets, not videos.
TubeHunt.io's answer
I needed a system to build and monetize faceless YouTube channels at scale. Existing tools were shallow, disconnected, or built for single-video optimization. So I built TubeHunt for myself. It monetized 20+ channels in 2025. Then other operators asked how I was doing it. That became the product.
TubeHunt.io's answer
PHP, Python, and YouTube Data API.
TubeHunt.io's answer
Most are individual creators operating multiple faceless channels. Typical customer: a solo operator running 5-20+ faceless channel accounts.
Based on our record, Python seems to be more popular. It has been mentiond 299 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / about 2 months ago
For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / about 2 months ago
Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 months ago
**_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โSave this dataโ - โGet this dataโ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
VidIQ - Your all-in-one engine for YouTube growth. Smarter ideas, faster optimization, winning titles, keywords, and thumbnails.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
NexLev.io - Find profitable niches in YouTube within seconds with NexLev, the most powerful AI-based niche finder.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
TubeBuddy - The Premier YouTube Channel Management and Optimization Toolkit
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
