DEV Community: Ozee

n8n + GoHighLevel: How Freelancers Are Charging $900 to $1,800+ for Automation Services

Ozee — Wed, 28 Jan 2026 11:06:14 +0000

Hey dev community 👋
I'm Ozee, a freelancer and building automation systems. A couple of years ago I was deep in n8n, creating complex workflows with 40–50 nodes, APIs, error handling, the works. But clients kept saying "too technical" and paid low one-time fees ($250–$400).
The game-changer? Pairing n8n (invisible backend factory) with GoHighLevel (client-facing showroom/dashboard).
Now I deliver branded CRMs, automated WhatsApp/email flows, AI-powered lead scoring, instant proposals, and nurture sequences — and clients happily pay $900–$1,800+ upfront + monthly retainers.
In this article I cover:

Why pure n8n is hard to sell (the "kitchen vs dining room" analogy)
My Frontend + Backend = Full Stack framework
A complete lead qualification workflow example (form → webhook → n8n AI scoring → branching → 3.5-min full automation)
Time savings: 187+ hours/month → $2,800–$3,700 value at modest hourly rates
30-day plan to land your first high-ticket client

Full read here: https://www.factsbyte.com/n8n-gohighlevel-how-freelancers-are-charging-900-to-1800-for-automation-services-nY2G/

Would love your thoughts — are you using n8n + a CRM platform? What's your biggest challenge selling automations? Drop a comment!

n8n #GoHighLevel #Automation #Freelancing #NoCode #LowCode #DevTools

3-Piece Suit of a Complete Software Engineer

Ozee — Tue, 20 Jan 2026 17:28:40 +0000

The 3-Piece Suit of a Complete Software Engineer
Building AI-Driven SaaS from End to End
Modern software engineering isn’t just about writing clean code anymore.
To build real-world, AI-driven SaaS products, engineers now need to think across architecture, AI integration, and scalable deployment not in isolation, but as a complete system.
In this article, I break down the “3-Piece Suit” every complete software engineer should wear today:
🧩 Solid backend & system design
🤖 Practical AI/LLM integration
☁️ Production-ready SaaS architecture
This isn’t theory it’s a practical, end-to-end perspective on how modern engineers can build intelligent products that scale and deliver real business value.
👉 Read the full article:
https://www.factsbyte.com/the-3-piece-suit-of-a-complete-software-engineer-building-ai-driven-saas-from-end-to-end-4rVQ/
I’d love to hear your thoughts, what do you think defines a complete software engineer in the AI era?

softwareengineering #ai #saas #systemdesign #careerdevelopment #devto

The Dot Connecting Concept: How Our Life’s Pattern Shapes Our Intelligence, Similar to AI

Ozee — Tue, 11 Nov 2025 07:28:00 +0000

Over the years, I’ve come to realize that everything in life, both personal and professional follows a sequence of connected events. I’ve named this insight the Dot Connecting Concept.

Every major or minor experience leaves an impression, a dot in our life. Some of these dots shine brightly, while others challenge and stretch us. But each carries a lesson, and together they form the bigger picture of who we become.

What if you took your last 20 or 30 years, the years you remember clearly, and divided them into 5-year segments? Each segment taught you something important, and that lesson becomes one dot. Then you take the next 5 years and do the same, then the next, and so on. As you link each dot, you begin to see a pattern, a visual representation of your growth, your choices, your mindset.

Here’s the interesting part: this mirrors how machine learning works. AI models learn from data, study patterns, find relationships between points, and use them to predict outcomes. We, as humans, follow a similar process intuitively. By connecting the dots of our past, we gain clarity about our present and gain direction for our future. Over time, that reflective process strengthens our intelligence and allows us to make smarter, more informed decisions, just like AI gets smarter with more data.

If you’re interested in learning how to practically apply this concept and use it to forecast your next phases of growth, you can check out the full article I wrote on this topic.

👉 Read the full article on FactsByte

I’d love to hear how you’ve connected dots in your life. What patterns have you spotted? What’s one dot that you feel is guiding your next move?

#GrowthMindset #LifeLessons #MachineLearning #AI #PersonalDevelopment #Reflection

Why Big Companies Are Laying Off: Causes, Numbers and What Developers Should Do

Ozee — Tue, 04 Nov 2025 11:11:28 +0000

🎯 New Article: Why Big Companies Are Laying Off — What Developers Can Do

Hi everyone 👋 — I just published a deep-dive on layoffs in 2025 and what developers should be doing to stay ahead.

👉 Read it here: Why Big Companies Are Laying Off: Causes, Numbers and What Developers Should Do

🔍 What you’ll get

Verified stats on major companies (e.g., ~14K cuts at Amazon, ~15K at Microsoft, etc.)

A breakdown of the real reasons behind the layoff wave (AI, cost-discipline, strategic pivots)

Alternative strategies companies could use instead of layoffs

A no-panic guide for developers: how to protect your role, reskill, and stay future-ready

🧑‍💻 Why developers should read it

If you’re working in tech, especially in dev/engineering roles, this is not just about layoffs — it’s about where the industry is heading and where you can position yourself.

Would love to hear: What one skill are you learning or planning to build in 2025 to stay ahead? Drop a comment and let’s discuss.

From Python Scripts to AI: My Thoughts on Data Cleaning and Insights

Ozee — Thu, 16 Oct 2025 23:32:18 +0000

Over the past few years, I’ve spent a lot of time working with Python writing scripts for data cleaning, transformation, and analysis.
Tools like Pandas, NumPy, and Scikit-learn made it easy to structure messy datasets, remove duplicates, handle missing values, and extract useful insights.

But as I started dealing with larger and more complex data, I found myself asking a question:
How far can we really go with traditional coding and where does AI actually make a difference?

That’s what inspired my latest article on FactsByte:
👉 AI vs. Traditional Coding in Data Cleaning and Insight Extraction

In this piece, I break down the topic in simple terms, comparing rule-based Python scripts with learning-based AI models.
Here’s a quick look at what it covers:

How traditional coding handles data cleaning and transformation

What AI adds through automation, adaptability, and continuous learning

The difference between structured and unstructured data handling

Why predictive insights are a strength of AI

And how combining both Python and AI gives the best of both worlds

It’s written in a way that even non-technical readers can follow but with enough depth for developers to relate to.

If you’ve ever wondered where coding meets AI in the world of data, this one’s worth a read.

👉 Read the full article on FactsByte

TensorFlow vs PyTorch vs JAX: Do You Really Need a Framework for AI/ML?

Ozee — Wed, 01 Oct 2025 20:30:58 +0000

TensorFlow vs PyTorch vs JAX: Do You Really Need a Framework for AI/ML?

If you’re exploring AI and machine learning, you’ve probably seen endless debates about TensorFlow, PyTorch, and JAX. But beyond the hype, how do these tools truly fit into building AI systems—and do you always need them?

In my latest article, I break down the AI/ML development stack from top to bottom, clarify when you don’t need frameworks, and show when they become essential. I also compare strengths, use cases, and future trends for TensorFlow, PyTorch, and JAX.

👉 Read the full article here: [TensorFlow vs PyTorch vs JAX: Do You Really Need a Framework for AI/ML?]

What you’ll learn:

The five main layers of the AI/ML ecosystem (APIs, pre-trained models, frameworks, low-level tools, and theory)

How API-based AI (OpenAI, Gemini, Grok) can let you train/tune models without touching frameworks

A direct comparison of TensorFlow, PyTorch, and JAX: when to choose each

How the landscape is evolving: convergence, growth of JAX, the rise of customizable AI APIs

This isn’t just a “which framework is best” article. It’s about picking the right abstraction based on your goals—whether you're using AI or building the next generation of models.

AI #MachineLearning #DeepLearning #TensorFlow #PyTorch #JAX #AIEcosystem #MLStack

Understanding Code Vulnerabilities with Real-World Examples

Ozee — Fri, 25 Jul 2025 12:32:34 +0000

🚨 New Article Just Published! 🧑‍💻🔐

I've just published a new deep-dive on Understanding Code Vulnerabilities with Real-World Examples — and it's a must-read for developers, security enthusiasts, and anyone working with modern software stacks.

👉 In this post, I break down critical risks like SQL Injection and Remote Code Execution, explain how they happen, and offer best practices for secure coding to help you prevent them before they reach production.

🛡️ Whether you’re building web apps, managing CI/CD pipelines, or just want to level up your awareness of software security, this guide is packed with real-world insights, code examples, and actionable tips.

🔗 Read the full article here:
👉 Understanding Code Vulnerabilities with Real-World Examples

💬 Your feedback means a lot! Let me know what you think — and feel free to share it with your network if you find it helpful.

SoftwareSecurity #SecureCoding #Cybersecurity #CodeVulnerabilities #SQLInjection #RCE #ProgrammingTips #DevSecOps #factsbyte

Understanding Code Vulnerabilities: Real-World Examples and How They’re Exploited

Ozee — Mon, 14 Jul 2025 12:19:09 +0000

Hey folks! 👋

I just published a detailed blog post on my personal website where I explore one of the most critical topics in software development — code vulnerabilities.

In this article, I dive into:

🔍 What a code vulnerability really is
💥 How hackers exploit vulnerabilities in real-world applications
🧠 Practical examples like:
- SQL Injection (a common web app attack vector)
- Remote Code Execution (RCE) in PyYAML (CVE-2017-18342)
✅ Developer-friendly tips on how to prevent these issues
🔒 Secure coding practices that every developer should know

If you're a backend dev, Pythonista, DevOps engineer, or just passionate about secure software — this one's for you.

👉 Read the full article here on Factsbyte.com

I'd love to hear your thoughts and feedback in the comments! 🙌

📌 Follow me for more deep dives into programming, security, and real-world dev tips.

Getting Started with Terraform, DynamoDB, and FastAPI: A Fullstack Guide

Ozee — Thu, 03 Jul 2025 07:35:05 +0000

🚀 New Article Just Published!
I’ve just uploaded a fullstack guide that walks you through building a modern backend using Terraform, AWS DynamoDB, and FastAPI — from infrastructure setup to complete CRUD operations.

🔗 Check it out here:
👉 https://www.factsbyte.com/getting-started-with-terraform-dynamodb-and-fastapi-a-fullstack-guide-FM2L/

💬 I’d love to hear your feedback — let me know what you think or if there’s anything you'd like covered in more depth!

Terraform #FastAPI #DynamoDB #CloudComputing #DevOps #Python #BackendDevelopment #IaC #AWS

Developing an Async CRUD API in FastAPI with Alembic Migrations and PostgreSQL

Ozee — Wed, 02 Jul 2025 05:38:48 +0000

🚀 New Blog Post Published!

I've just published a new technical guide:
“Developing an Async CRUD API in FastAPI with Alembic Migrations and PostgreSQL”

🔗 Read the full article here
https://www.factsbyte.com/developing-an-async-crud-api-in-fastapi-with-alembic-migrations-and-postgresql-akVT/

This tutorial walks through:

Async FastAPI setup

SQLAlchemy + Alembic migrations

PostgreSQL integration

Fully functional CRUD operations using async/await

I’d love to hear your thoughts and suggestions.
👇 Drop your feedback or questions — I’m listening!

The Rise of Generative AI: Creating the Future with Code

Ozee — Mon, 23 Jun 2025 05:41:34 +0000

🚀 Just Published!

I've just released my latest article:
👉 “The Rise of Generative AI: Creating the Future with Code”
Explore how generative AI is transforming the world — from writing and design to software development and beyond.

🔍 Whether you're a developer, creator, or just AI-curious, this guide breaks down how it works, real-world applications, tools, code examples, and what the future holds.

📖 Read it here:
🔗 https://www.factsbyte.com/the-rise-of-generative-ai-creating-the-future-with-code-LuQ8/

💬 I’d love to hear your thoughts! Drop your feedback, questions, or suggestions in the comments. Let’s discuss the future together.

GenerativeAI #AItools #GPT4 #ArtificialIntelligence #AIDevelopment #FutureOfAI #Factsbyte #OpenAI #TechBlog

AI Ate My Job: The Developer’s Dilemma 🤖💼

Ozee — Thu, 05 Jun 2025 10:37:17 +0000

🚨 New Article Just Dropped!

In a world where AI is writing code, fixing bugs, and automating workflows — what does the future hold for developers like us? Are we becoming obsolete, or are we standing at the edge of a massive evolution?

I just published a new piece exploring how AI is impacting software jobs, the rise of automation-driven layoffs, and most importantly — how developers can adapt, upskill, and stay relevant.

👉 Read here: https://www.factsbyte.com/ai-ate-my-job-the-developers-dilemma-HrSe/

💬 I’d love to hear your thoughts:

Is AI helping or hurting developer careers?

Have you felt the shift in your own job?

What are you doing to future-proof your skills?

Drop your feedback in the comments — let’s start the conversation.

AI #Developers #Automation #TechCareers #FactsByte #FutureOfWork #AIAteMyJob