From Iraq to 500M users: How I built the world's largest bot platform

Hi, I'm Murtadha (Keko). I started coding in a war-torn country and ended up serving half a billion users. Here's the story of how one developer's obsession with automation changed everything.

"I was 15 when I realized I could make computers do the impossible. Now I help others do the same."

keko@portfolio:~$
$ whoami
Murtadha Riyadh (Keko)
Full-Stack Engineer & Founder
From Iraq → Global Impact
$ cat journey.txt
🇮🇶 Started coding at 15 in Iraq
💻 Built systems that scale
🚀 Now serving 500M+ users
$ ./build_future.sh
Building the future, one line at a time...
↑↑↓↓←→←→BA
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🔤
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🌍
🌈
🎉 Surprise in 10s

Stories

True moments that shaped how I build. Binge them like a show — each episode plays as immersive text.

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The Numbers Behind the Story

What started as a 15-year-old's curiosity in Iraq became something that touches half a billion lives

💡 Here's the thing: These aren't just numbers. They're proof that when you combine relentless curiosity with systematic thinking, anything becomes possible.

🤖
10M+
Bots Created
Each one solving a real problem
💡 The secret: I see repetitive tasks as opportunities, not obstacles
🌍
500M+
Users Served
Real people, real impact
🌱 My philosophy: Success isn't measured in numbers, but in lives improved
💻
10 years
Coding Journey
From teenager to global impact
🎯 The truth: 10,000+ hours of deliberate practice, not just coding
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🌱

The Story Behind the Numbers

My name is Murtadha (Keko) , and this is how a kid from Iraq ended up serving half a billion users worldwide.

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👋 Hi! I'm Murtadha (Keko) - Let me show you my story!

Pick any programming language below to see how I tell my journey from a curious 15-year-old in Iraq to helping thousands of people worldwide. Each language tells the same story but in its own special way!

🐘 my_story.php
// Hi! I'm Murtadha (Keko) - This is my story
// I'll show you how a curious kid from Iraq became a developer

function my_life_story() {
    // Let's start from the beginning
    $my_name = "Murtadha";
    $my_nickname = "Keko";
    $where_i_started = "Iraq";
    $age_when_i_started = 15;
    
    echo "Hello! I'm $my_name ($my_nickname)\n";
    echo "I started coding at age $age_when_i_started in $where_i_started\n";
    
    // My journey through the years
    $current_age = $age_when_i_started;
    $people_i_helped = 0;
    
    while ($current_age < 25) {
        echo "\n--- Age $current_age ---\n";
        
        // What I learned each year
        if ($current_age == 16) {
            echo "💡 Discovered: I love solving problems with code!\n";
        } elseif ($current_age == 17) {
            echo "🚀 Built: My first website\n";
        } elseif ($current_age == 18) {
            echo "🤖 Created: My first bot to help people\n";
        } elseif ($current_age == 19) {
            echo "⚡ Learned: How to make things faster and better\n";
        } elseif ($current_age == 20) {
            echo "🌍 Realized: I can help people worldwide!\n";
        } elseif ($current_age == 21) {
            echo "🏗️ Built: Systems that work for thousands\n";
        } elseif ($current_age == 22) {
            echo "🎯 Created: Tools that help millions\n";
        } elseif ($current_age == 23) {
            echo "🌟 Achieved: Global impact with my code\n";
        } elseif ($current_age == 24) {
            echo "💎 Mastered: Building things that last\n";
        }
        
        $people_i_helped += 1000 * $current_age;
        echo "People I helped this year: " . number_format($people_i_helped) . "\n";
        
        $current_age++;
    }
    
    return "\n🎉 Today: I've helped over " . number_format($people_i_helped) . " people with my code!";
}

// Let's run my story!
$my_result = my_life_story();
echo $my_result;
Output
Ready
Click "Run" to execute the code

🇮🇶 The Beginning

Growing up in Iraq, I discovered coding at 15. While others saw limitations, I saw possibilities.

I taught myself to build systems that could work around any obstacle. Every challenge became a learning opportunity.

🚀 The Obsession

I became obsessed with automation. Not just building bots, but understanding how to make them reliable at massive scale.

Every failure taught me something new. I spent countless nights debugging, optimizing, and perfecting my craft.

🌍 The Breakthrough

In 2022, I founded ECHO LLC and created Echo Maker — the platform that now powers 10M+ bots serving 500M+ users.

From a single idea to global impact. What started as a personal tool became the world's largest bot creation platform.

My Philosophy

I believe the best systems are invisible. They work so well that users forget they exist. That's what I build — technology that empowers others to create without limits.

Try My Coding Challenge

Click the buttons below to see how I solve problems. Each one represents a different challenge I've faced.

Challenge Output
Click a challenge above to see how I solve it!
🏆 Scalability Master
🎵
Automation Expert
🛡️ Reliability Champion
🛡️

My Project Journey: From Learning to Building

While most of my work stays private, here's the story of my biggest public project and the learning journey behind it.

🔒 The Private Projects

The real work happens behind the scenes

50+ Private Projects Production systems, internal tools, experiments
30+ Learning Projects Exploring new technologies, testing ideas
1 Public Project The one I'm proud to share with the world

Most of my projects are private because they're either client work, internal tools, or experimental code that's not ready for the world. But each one taught me something valuable that made Echo Maker possible.

My Biggest Public Project

Echo Maker — The Platform That Changed Everything

From personal frustration to world's largest bot creation platform

🎯 The Problem

I was tired of building the same bot features over and over. Every developer was reinventing the wheel, spending weeks on boilerplate code instead of solving real problems.

💡 The Solution

I created a template system with multi-tenant architecture that could handle massive scale while keeping costs low. Developers can now ship production-ready bots in seconds, not weeks.

🚀 The Impact

What started as a personal tool became the world's largest bot creation platform, serving millions of users and generating significant revenue.

🛠️ How I built it (the short version)

I wanted anyone to launch a real bot in seconds — not weeks. So I stripped the stack to the essentials, tuned everything by hand, and bent costs down so more people could build for free.

No heavy frameworks Small servers, huge throughput 500M+ requests/day Designed to stay affordable
PHP at the Core

PHP powers the main backend so I can create new bots fast. I didn't use Laravel or any heavy framework — I hand‑tuned the code to squeeze maximum performance.

  • Custom lightweight routing and task orchestration
  • Careful memory use and zero‑waste I/O
  • Built for rapid build/test cycles

Result: faster iteration, fewer moving parts, easier to reason about.

Python & Go Microservices

Python for smart workflows and data tasks. Go for high‑throughput, low‑latency services where raw speed matters.

  • Background workers and schedulers
  • Queue consumers and rate‑limited senders
  • Small, focused services that are easy to scale

Small services scale independently — no giant rewrites when traffic spikes.

Hot vs. Cold Data

Redis for hot state and counters. MySQL for durable data in the cloud. Simple, reliable, and cost‑efficient.

  • Redis for queues, tokens, rate limits
  • MySQL for user, template, and billing data
  • Strong consistency where it matters

Keep latency low where users feel it; keep guarantees where money matters.

Performance on Small Resources

I optimized until it hurt: backpressure, idempotency, and efficient batching. The result: big numbers on tiny machines.

  • Handles ~500M requests/day
  • Keeps infra small to stay affordable
  • Cheaper to run → more free for users

Speed is a feature. Cost discipline makes it accessible.

🚀 Try Echo Maker

Experience the platform that changed how developers build Telegram bots

🧠 The Learning Journey

Every private project was a stepping stone. Here's what I learned along the way:

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Infrastructure Experiments

Testing different architectures, scaling patterns, and deployment strategies that eventually powered Echo Maker.

Performance Optimization

Learning how to handle massive scale, optimize database queries, and build resilient systems.

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User Experience

Understanding what developers actually need, not what I thought they needed.

Services

Server Management

⚙️ Provisioning

Users, SSH, systemd, cloud-init, baseline images.

🔐 Hardening

SSH keys, firewalls, Fail2Ban, updates, least-privilege.

🌐 Networking

Nginx/Caddy, reverse proxy, TLS, HTTP/2/3, Cloudflare.

📈 Observability

Logs, metrics, tracing, alerts, on-call playbooks.

🗄️ Datastores

MySQL/MariaDB, Redis/KVrocks, MongoDB, tuning & ops.

💾 Backups & DR

Snapshots, offsite copies, restore drills, RPO/RTO.

🚀 CI/CD & Deploy

Docker, Actions, rollbacks, zero‑downtime releases.

🛡️ Security

WAF, rate limiting, secrets, abuse prevention.

The Reality of Code: Why 90% Stays Private

Here's the thing about being a systems engineer: the most valuable code is often the most sensitive.

🧠 Why Smart Developers Keep Their Best Code Private

The real reasons behind keeping valuable code hidden

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Security by Design

My production systems handle 500M+ users. Exposing infrastructure code would be like leaving your house keys under the doormat.

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Years of Hard Work

The algorithms that power Echo Maker took years to perfect. Why give away the secret sauce that makes it work?

🛡️

Keeping Users Safe

Security vulnerabilities in public repos can be exploited. Private code means safer systems for everyone.

What I Do Share: The 10% That Matters

These are the tools and patterns that help the community without compromising security.

🛠️

Open Source Tools

Utility libraries, development tools, and educational examples that don't expose business logic.

📚

Learning Resources

Code samples, tutorials, and best practices that help other developers grow.

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Infrastructure Patterns

Architectural decisions, deployment strategies, and monitoring approaches.

Technologies I Work With

Backend Systems

  • PHP
  • Python
  • Go
  • Node.js
  • Lua
  • TypeScript
  • Java
  • Rust

Databases & Storage

  • Redis
  • MySQL
  • MongoDB
  • PostgreSQL
  • Elasticsearch
  • Memcached
  • ClickHouse

Infrastructure & DevOps

  • Linux
  • Docker
  • Kubernetes
  • AWS
  • GCP
  • Terraform
  • GitHub Actions
  • Prometheus
  • Grafana

Message Queues & Streaming

  • RabbitMQ
  • Apache Kafka
  • Amazon SQS
  • Redis Streams
  • Apache Airflow

Architecture Patterns

  • Multi-tenant
  • Rate Limiting
  • Queues
  • Idempotency
  • Tracing
  • Microservices
  • Event Sourcing
  • CQRS
  • Circuit Breaker
  • API Gateway

Monitoring & Observability

  • OpenTelemetry
  • Jaeger
  • DataDog
  • Sentry
  • CloudWatch
  • ELK Stack

Security & Auth

  • OAuth 2.0
  • JWT
  • RBAC
  • mTLS
  • Vault
  • Auth0
  • WAF

Frontend & Mobile

  • React
  • Vue.js
  • Next.js
  • TypeScript
  • GraphQL
  • PWA
  • WebAssembly

Testing & Quality

  • Jest
  • Pytest
  • Cypress
  • K6
  • JMeter
  • SonarQube
  • ESLint
  • Prettier

Want to See My Code?

I'm selective about what I share publicly, but I'm happy to discuss specific implementations or provide code samples for legitimate use cases.


Get In Touch

Prefer Telegram for a fast response

📨 Message on Telegram

Or join my channel: t.me/kekodev