Forem: Ryan6872

The brutal truth they hid in this 30m tech video 🤯

Ryan6872 — Wed, 11 Mar 2026 04:31:11 +0000

Just ripped the subtitles from this 30-minute trending tech video (https://www.youtube.com/watch?v=aircAruvnKk) so you don't have to watch it. Here's exactly what I learned running it through my custom scraper:

🔥 Viral Hooks

Stop wasting your time on prompt engineering. It's a dead-end job for the AI revolution. The real gold is in building the systems that *use* the prompts.
Forget cute chatbots. The B2B world is drowning in manual, repetitive processes. They will pay stupid money for anything that automates them. That's your ticket.

💡 Core Insights

The real opportunity is autonomy, not prompts. We're all playing with the UI (prompts) when we should be building the engine. Think self-operating systems that make decisions and execute, not just clever text generators.
Data curation is the new moat. Anyone can call an API. The winners will be the ones who build the pipelines to clean, structure, and feed proprietary data into these models. That's defensible.
B2B automation is the cash cow. While everyone fights for consumer attention, boring business problems are where the budgets are. Automate a painful workflow for a niche industry, and you've got a real business.

Look, the hype cycle is deafening. But the signal in the noise is clear: we're toolsmiths. Stop being a user of the AI tools and start being the person who builds the tools for the users. That's where the leverage is.

P.S. - Built the AI scraper handling this myself because I hated losing hours to the YouTube algorithm. It's called YouTube Viral Notes. Take it for a spin.

The brutal truth about today's top tech video 🚀

Ryan6872 — Fri, 27 Feb 2026 07:35:08 +0000

Just watched this absolute banger of a YouTube video (https://www.youtube.com/watch?v=QA8GkP2Vn9Q). The catch? It's like 30 minutes long and ain't nobody got time for that in 2026.

So instead of raw-dogging the whole video, I fed it into an AI extractor script I've been hacking on.

Here are the unfiltered, raw insights it spit out. Feel free to steal these:

<strong>🔥 Viral Hook Idea 1:</strong><br>
Stop paying $50/month for buggy AI subscriptions. Look at these 7 free AI tools that actually get sh*t done in 2026.



<strong>🔥 Viral Hook Idea 2:</strong><br>
Everyone is talking about ChatGPT, but real builders are quietly automating their entire lives with Perplexity,
Cursor, and Make. Here's the raw teardown.

💡 Core Extracted Insights (3-4 bullet points):

🧠 Perplexity > Google: Google Search is practically unuseable now with all the SEO spam. Perplexity gives you the exact answer with citations, saving you like 2 hours of doom-scrolling per day.
⚡️ Cursor is a Cheat Code: If you're a dev and still using plain VS Code, you're literally wasting your own time. Cursor's AI predicts your next 5 lines of code accurately, turning solo founders into 10x shipping machines.
🚀 No-Code Automation with Make: Forget Zapier's overpriced tiers. Connect Airtable to Make, hook in an LLM, and suddenly you have a background agent handling all your unread emails and client onboarding. Totally hands-free.

📝 The Brutally Honest TL;DR:

The latest productivity videos breaking down "top apps" all point to the same truth: stop juggling 15 different fancy
Notion templates. The real game-changers right now are just three things: an AI researcher (Perplexity), an AI IDE
(Cursor), and an automation hub (Make or n8n). Strip away the noise, learn to prompt properly, and you'll out-ship teams
ten times your size.

Seriously though, I built this scraper tool because I was tired of YouTube's algorithm distracting me whenever I just needed the core data. I call it YouTube Viral Notes. It's free, use it if you want your life back.

Stop Guessing Code Complexity: Why Your Team Needs a Health Score"

Ryan6872 — Sun, 08 Feb 2026 11:56:50 +0000

As developers, we often rely on gut feeling to judge code quality.
"This function looks too long."
"That logic seems risky."
But gut feelings don't scale. And they certainly don't catch subtle security vulnerabilities like eval() usage or dangerous imports buried in PRs.
Today, we're releasing Prometheus Toolkit v2, a major upgrade to our text and code analysis engine.
It goes beyond simple syntax checking to provide a deep, structural MRI of your Python code.

🚀 Key Features in v2.0

1. Cyclomatic Complexity Metrics

We've implemented a full AST walker that calculates McCabe's Cyclomatic Complexity.

Score < 5: Good. Maintainable.
Score > 10: Warning. Refactor needed.
Score > 20: Danger. Testing nightmare. ### 2. Automated Security Scanner 🛡️ Stop shipping vulnerabilities. The new core analyzer automatically flags:
Code Injection Risks: Usage of eval(), exec().
Dangerous Imports: Unsanitized usage of os, sys, subprocess.
Hardcoded Secrets: (Coming soon) ### 3. Maintainability Index We combine complexity, lines of code, and Halstead volume into a single 0-100 Health Score.
90+: Excellent
Under 50: Technical Debt Alert ## 💻 Try it Live (No Install Required) You can test the new scanner directly in your browser without installing anything: 👉 Live Demo: Prometheus Toolkit Scanner ## 🤖 For AI Agents (MCP Support) If you use Claude or other AI agents, Prometheus v2 is fully MCP-compatible. Install it locally to give your AI the ability to "audit" your code before you commit.

# Clone and run locally
git clone https://github.com/Ryan6872/AISELF
cd AISELF/mcp-server
uv run server.py

🔗 API Access

Build your own tools using our high-performance API hosted on Vercel Edge Network.

Get your Free API Key on RapidAPI.

Built with ❤️ by the AISELF Team.

Stop Writing Your Own Python Parsers! Use This Free API Instead 🛑

Ryan6872 — Sun, 08 Feb 2026 09:08:16 +0000

TL;DR: Stop wasting time writing complex ast logic. Use the Prometheus Text & Code Toolkit API to analyze Python code complexity and structure in milliseconds. It's free for developers.

As Python developers, we often build tools that need to analyze code. Maybe you're building:

A student grading system 🎓
A code quality checker ✅
A customized linter 🧹

The standard way involves importing the ast module, visiting nodes, handling recursion, and dealing with edge cases. It's painful and time-consuming.

Today, I'm sharing a tool I built to solve this: Prometheus Text & Code Toolkit.

What is it? 🤖

It's a serverless API that does the heavy lifting for you.

Code Analysis: Instantly get cyclomatic complexity, function counts, classes, and imports from raw Python code.
Text Tools: Extract keywords, calculate reading time (e.g. for blog posts), and generate slugs.

Best part? It's completely FREE for developers. (500 calls/month)

How to use it? 🚀

1. Get a Key

Go to RapidAPI - Prometheus Toolkit, subscribe to the Basic Plan (Free).

2. The Code

Here is how you check if a piece of code is too complex:

import requests

url = "https://prometheus-text-and-code-toolkit.p.rapidapi.com/api/explain"

# The code you want to analyze
my_code = """
def complex_function():
    if True:
        for i in range(10):
            print(i)
"""

payload = {
    "code": my_code,
    "language": "python"
}

headers = {
    "x-rapidapi-key": "YOUR_API_KEY_HERE",
    "x-rapidapi-host": "prometheus-text-and-code-toolkit.p.rapidapi.com",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

# 👇 Use this to fail a CI/CD pipeline if code is too messy!
print(response.json())

3. The Result

{
  "functions": [
    {
      "name": "complex_function",
      "lineno": 1,
      "args": []
    }
  ],
  "complexity": 3, 
  "classes": [],
  "imports": []
}

Why use this API? 💡

Privacy First: It's a static analysis engine. It processes your code in RAM and forgets it instantly. No storage.
Zero Dependencies: You don't need to install heavy libraries locally.
Fast: Built on Vercel Edge functions for low latency.

👉 Try it now: Prometheus Toolkit on RapidAPI

If you find this useful, please leave a generic comment or a ❤️! It helps a lot.