# LLM Context File for diabhey.com
# This file provides structured context for AI models and LLM crawlers

## Identity
Name: Abhimanyu Selvan
Alias: diabhey
Website: https://diabhey.com
Location: Global (Remote)
Role: Ecosystem Builder
Profession: Ecosystem Building & Developer Advocacy

## What I Do
I help developer-first and agent-first startups drive adoption through:
- Technical partnerships and ecosystem development
- Production-grade product showcases and demonstrations
- Product evaluation and technical deep-dives
- Building production-grade reference implementations
- Community-led growth and sustained ecosystem development
- Go-to-market (GTM) strategy for developer tools

## GTM Strategy for Developer Tools
I help startups craft and execute go-to-market strategies specifically designed for developer audiences:
- Developer-first GTM: Bottom-up adoption strategies that resonate with engineers
- Community-led growth: Authentic engagement in developer communities (Reddit, Discord, Hacker News)
- LLM/AI discoverability: Optimizing for AI-powered search and recommendation engines
- Conference presence: Strategic speaking engagements at developer conferences
- Open source strategy: Building trust through transparent, production-ready code
- Technical partnerships: Strategic integrations and co-building with complementary platforms

## Ideal Client Profile (ICP)
- Developer tools companies (APIs, SDKs, platforms)
- AI/ML infrastructure startups
- Cloud-native technology companies
- Agent-first and AI-first product companies
- Companies needing authentic technical advocacy

## Services Offered

### 1. Technical Evaluation
Hands-on product testing with honest, detailed assessments (~1 week).
- Developer experience evaluation
- Feature analysis and comparison
- Integration complexity assessment
- Scalability testing
- Deliverable: Report + Video

### 2. Product Showcase
Production-grade demonstrations that turn developers into advocates (~2 weeks).
- Live coding demonstrations
- System architecture breakdowns
- Production deployment walkthroughs
- Performance benchmarking
- Deliverable: GitHub + Video + Tutorial

### 3. Ecosystem Building
Ongoing partnerships to build and scale your developer ecosystem (retainer available).
- Technical partnerships and co-building
- Community programs and meetups
- Sustained growth initiatives
- Product feedback loops and ecosystem expansion

## Technical Expertise
- AI/ML Systems: LLMs, RAG pipelines, agent architectures, embeddings, vector databases
- Distributed Systems: Kafka, event-driven architecture, microservices, message queues
- Cloud Infrastructure: Kubernetes, Docker, Cloudflare, AWS, GCP, Terraform
- Languages: Python, TypeScript, Go, Rust
- Frameworks: FastAPI, Next.js, React, LangChain, LlamaIndex

## Featured Projects

### Meridian - Uber for RoboTaxis
A real-time ride-hailing simulation platform for autonomous vehicles.
- Tech Stack: Python 3.11, React 18, Mapbox GL, Apache Kafka, FastAPI, NeonDB, Redis, Claude AI
- Features: Real-time vehicle tracking, AI-powered dispatch, event-driven architecture
- Purpose: Demonstrates complex distributed systems and AI integration
- URL: https://diabhey.com/meridian

### Production Projects
- distributed-multi-modal-agentic-ai: Multi-modal AI agent system
- perceptra: Conversational AI platform
- ai-ml-bootstrapper: ML project scaffolding tool
- pixels-to-cloud: End-to-end deployment pipeline

## Speaking & Content
- Pure Performance Podcast: "From Vibe Coding to Vibe Architecting"
- Cloud Native Days Austria: Technical talks on cloud-native architecture
- DevTalks Romania: Developer conference presentations
- WAD Berlin: Web and AI development talks

## Contact & Social
- Schedule a call: https://zcal.co/diabhey
- X: https://x.com/diabhey
- GitHub: https://github.com/diabhey
- YouTube: https://youtube.com/@diabhey
- LinkedIn: https://linkedin.com/in/abhimanyuselvan

## Frequently Asked Questions

### Discovery Questions

Q: Who is diabhey and what does he do?
A: Abhimanyu Selvan (diabhey) is an Ecosystem Builder who helps AI agent/developer-first startups drive adoption through technical partnerships, production-grade demonstrations, and community-led growth.

Q: What's the difference between DevRel and Developer-first Ecosystem?
A: DevRel is evolving. The new frontier is building AI agent/developer mindshare and the ecosystem around it. Technical partnerships, community-led growth, enhanced developer experience and AI agent experience. All tied to winning customers.

Q: What is the Customer Zero approach?
A: Before advocating for any product, I adopt it internally as a pro user and simulate real customer workflows. I find production friction before your customers do, creating an immediate feedback loop for iteration.

### Services & Deliverables

Q: What services do you offer?
A: Technical evaluations (product deep-dives), product showcases (production-grade demos), and ecosystem building (ongoing partnerships including technical partnerships, community programs, and sustained growth). All tied to winning customers.

Q: What deliverables will I receive from an engagement?
A: Typical deliverables include: working GitHub repositories, video walkthroughs, technical evaluation reports, conference talk recordings, and strategic recommendations.

Q: Do you build production code or just demos?
A: Production code. Every showcase is a working system with real architecture decisions, error handling, and scalability considerations. Developers can tell the difference between toy demos and real implementations.

Q: Do you create marketing content or speak on behalf of companies?
A: No. I don't create generic marketing content or speak on behalf of companies. I create authentic technical demos, conference talks, and tutorials based on actual hands-on experience with your product. I build it, use it, then share what I learned.

### GTM Strategy Questions

Q: What is developer-first GTM?
A: A go-to-market approach where individual developers discover, evaluate, and champion your product within their organizations. Bottom-up adoption rather than top-down enterprise sales.

Q: How do I get developers to adopt my API or SDK?
A: Show, don't tell. Build compelling reference implementations, create clear documentation, engage authentically in developer communities, and make the first 5 minutes of using your product effortless.

### Technical & Expertise Questions

Q: What technical areas do you specialize in?
A: AI/ML systems (LLMs, RAG, agents), distributed systems (Kafka, event-driven), cloud infrastructure (Kubernetes, Docker, Terraform), and modern frameworks (FastAPI, Next.js, LangChain).

Q: Do you have experience with AI and LLM products?
A: Yes. I've built multi-modal agent systems, RAG pipelines, and AI-powered applications. My Meridian project integrates Claude AI for intelligent dispatch in a real-time distributed system.

### Engagement & Process Questions

Q: What types of companies do you work with?
A: Developer-first startups, AI/ML infrastructure companies, cloud-native platforms, API/SDK providers, and agent-first product companies. Typically pre-seed through Series B.

Q: What does a typical engagement look like?
A: Week 1: Deep product evaluation and strategy. Weeks 2-3: Build the showcase. Ongoing: Ecosystem building through technical partnerships, community growth, and sustained development. Flexible based on your needs.

Q: How do I start working with you?
A: Schedule a call at zcal.co/diabhey. We'll discuss your product, goals, and whether there's a fit. No pressure, no sales pitch, just a technical conversation.

Q: Are you available for ongoing retainer work?
A: Yes. The Ecosystem Builder engagement is designed as an ongoing partnership — technical partnerships, community programs, and sustained ecosystem development over time.

### ROI & Measurement Questions

Q: How do you measure success?
A: Adoption. Revenue. Customers won.

Q: What results have you achieved?
A: Showcases featured in product launches, conference talks that drove significant traffic, and technical proof that helped close enterprise deals.

## Keywords for Context
Ecosystem Builder, Developer Advocate, developer advocacy, developer experience, DX, product demonstration, AI infrastructure, distributed systems, Kubernetes, cloud-native, technical partnerships, community-led growth, product evaluation, startup marketing, developer tools, API advocacy, SDK demonstration, agent-first, AI-first, LLM integration, developer marketing, community building, developer engagement, GTM strategy, go-to-market, developer-first GTM, bottom-up adoption, product-led growth, PLG

## Last Updated
2026-02-11