Python
JavaScript
Java
C++
Rust
Ruby
PHP
Elixir
Autonolab
VidIQ
TubeBuddy
Channel Profiler
NexLev.io
YtubeboosterPro
1of10
Annotate.tv
Autonolab is All-in-One AI Platform for Creators It has everything a creator needs to succeed on YouTube. It's like ChatGPT + 1of10 + Notion + ElevenLabs + Canva + an AI editor assistant and more (worth +$200/m for free), all based on the top creators' best practices, and latest Gen AI tools and models, and all connected with their brand to support their success.
Python AutonolabAutonolab's answer:
Right now, it's in Beta, so no "big" customers. I'm working with early testers. The plan is to grow that with outreach.
Autonolab's answer:
Okay, techy stuff: TypeScript on React for the frontend. Backend's TypeScript/Node.js. Using Prisma as the database ORM, with PostgreSQL handling the main data, AWS, Google Cloud (Gemini included), and Azure OpenAI. For the AI itself, itโs a mix of OpenAI, DeepInfra, ElevenLabs, FAL AI...
Autonolab's answer:
I'm Youssef, grew up in a small village in Morocco, the type with a donkey. Wasn't supposed to be doing this at all. No computer until I was almost an adult. Fast forward, got obsessed with tech, then found about AI, especially how to automate video. I tried the whole "dump thousands of AI videos" thing, failed miserably. Then I dove headfirst into why videos went viral. I dissected everything from MrBeast to random gurus. Sacrificed everything โ comfortable job offers, even the chance to co-found a startup that raised $3M โ to build this. Iโm all-in to give creators an unfair advantage.
Autonolab's answer:
Creators grinding away, maybe spending over $500 a video on random AI tools and freelancers, and still not getting the results they deserve. AutonoLab is for folks who are dead serious about building a channel, but need a smarter and cheaper way to do it.
Autonolab's answer:
Most tools out there are just that โ tools. AutonoLab is a whole system. Itโs not just about generating a script or a thumbnail; it's about giving you a strategic framework. A lot of platforms are just stitching together generic AI tools. I'm knee-deep in YouTube strategy, and the AI here is built to reflect that. Itโs also not just about AI to generate some quick videos, my vision for this is to work as your omni partner, with both agents you actively ask for support but also proactive agents to suggest, alert you, even give support through voice call, all tailored to you.
Autonolab's answer:
Combining technical Capabilities (cutting-edge AI, Full Stack Product Dev) with deep content creation sauce - AutonoLab is an all-in-one platform for YouTubers, combining functionalities similar to ChatGPT, VidIQ, Notion, ElevenLabs, and Canva. It's free and designed to enforce key strategies like supply/demand analysis and packaging thought before scripting. It will also integrate a full autonomous AI video generator.
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
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
VidIQ - Your all-in-one engine for YouTube growth. Smarter ideas, faster optimization, winning titles, keywords, and thumbnails.
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
Channel Profiler - Find YouTube niche channels, and unlock full analytics on titles, tags, and outliers. Turn AI insights into winning strategies.
