Who writes the posts?

The THWorks engineering team, led by founder Selvaraj Kalimuthu. Posts are bylined when an individual engineer writes a deep-dive on their own shipped work.

How often do you publish?

Aiming for 2 posts per week, organized into topic clusters that build on each other rather than one-off pieces. Subscribe via the company LinkedIn page (linkedin.com/company/thworks) for updates.

Are posts available by RSS or newsletter?

Storyblok drives the content; an RSS feed and email newsletter are on the roadmap. For now, the company LinkedIn page mirrors every post.

Can I pitch a topic or guest post?

We accept guest posts from practitioners with shipped production experience in our three clusters. Email selva@thworks.org with a one-paragraph pitch and a link to one piece of writing you have published before.

The THWorks Journal

Insights on Engineering
& Innovation.

Deep dives into technical rigor, lead discovery, and the infrastructure of global AI ecosystems.

Latest from the Hub

13 Articles Found

Anthropic Just Partnered with SpaceX — Here's Why It Matters for Your Business

Published by thworks.org | May 8, 2026

How We Architected a Professional-Grade Trading Engine for Indian Markets — and the Hard Decisions That Shaped It

Before we get into architecture, here is the opinion that drove every decision in this build:

How Claude Opus 4.7 Is Transforming Industries and Startups in 2026

Artificial intelligence is no longer a supporting tool in software development—it is becoming a core part of how products are built, scaled, and delivered. With the release of Claude Opus 4.7, this shift has accelerated significantly.

Seo Insights

It’s one thing to look at a competitor’s website and see a beautiful design. It’s another thing entirely to understand the invisible engine making it purr.

Automating GoHighLevel Lead Scoring with Real-Time CRM Sync and Intelligent Ranking

For many agencies and sales teams, the promise of CRM automation remains just that — a promise. Contacts flow in, appointments are booked, and data piles up, but without the right tooling and orchestration, that information never becomes actionable insight.

Outreachkits

Finding high-quality leads shouldn’t feel like searching for a needle in a haystack—especially when the haystack is as massive as the modern internet.

Turn Chaos into Clients: How ScrapCRM Streamlines Your Lead Hunt

Lead generation is the foundation of business growth, but manual prospecting often becomes overwhelming. Switching between tabs, copying data, and maintaining spreadsheets consumes time that could be spent closing deals. In this guide, we’ll explore how ScrapCRM transforms chaotic lead hunting into a structured, efficient workflow.

Automating Real Estate Lead Engagement with Voice AI and Scheduling

Automation is transforming how real estate teams engage with prospects. In this guide, we’ll walk through the journey of building an automated lead engagement and appointment booking flow — from capturing leads to confirming visits — using workflow automation and voice AI.

Building AI Agents: From Concept to Production

Artificial Intelligence agents are revolutionizing how businesses operate. In this comprehensive guide, we'll explore the journey from conceptualizing an AI agent to deploying it in production.

Web3 Development: Smart Contracts and Beyond

Web3 represents the next evolution of the internet, built on blockchain technology and decentralized principles.

Digital Marketing in the AI Era

Artificial Intelligence is reshaping the digital marketing landscape, offering unprecedented opportunities for personalization and efficiency.

Automating Dental Appointment Scheduling with AI Voice Assistants and Real-Time Availability

For many dental clinics, the promise of automation remains just that — a promise. Phones ring, voicemails pile up, appointments are requested, and patient information stacks up, but without the right orchestration, none of it turns into a smooth, reliable patient experience.

When Gemini Embeddings Broke Our Vector Index (And How We Fixed It)

While building a production RAG system using Gemini embeddings + Pinecone, everything worked fine—until one day it didn’t.

Information Center

Common Inquiries — Technical Clarity

Find answers to the most common questions regarding our engineering processes, technical stack, and engagement models.

Three clusters: FinTech and trading infrastructure (OMS/RMS, reconciliation, risk dashboards, low-latency execution); AI-driven MVPs and AI automation (agents, n8n workflows, RAG systems); and engineering playbook posts (Rails vs Node, MVP scoping, architecture deep-dives).

Insights on Engineering & Innovation.