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Das-rebel/README.md

Subhajit Das

AI GTM Consultant & Infrastructure Builder | Go-to-Market Strategy for AI Products | LLM Routing & Gateways | Advisor


What I Do

I help AI startups and enterprises move from product to market adoption by combining:

  • AI Infrastructure expertise — deep knowledge of LLM gateways, routing, failover, and cost optimization
  • GTM strategy — positioning, pricing, positioning, market narrative, and buyer education
  • Product + infrastructure fit — understanding how infrastructure decisions impact product strategy and sales motion

I advise on:

  • AI infrastructure positioning — how to talk about routing, gateways, and resilience to technical buyers
  • Product-market fit validation — which infrastructure bets move the needle vs. which distract
  • Enterprise AI adoption — how infrastructure choices impact sales cycles, compliance, and procurement
  • Vendor ecosystem strategy — provider relationships, integrations, and partnership models
  • Cost-quality tradeoffs — how to position cost savings and reliability in buyer conversations

Live Case Study: A3M Router

I built and launched A3M Router as both a product and GTM proof point:

  • The product: Open-source LLM router (49k npm downloads, 16 stars, active community)
  • The GTM problem it solves: "How do enterprises justify multi-provider LLM infrastructure vs. single-vendor lock-in?"
  • The positioning challenge: Explaining routing, failover, and cost optimization to non-technical buyers
  • The results: 87% of lifetime downloads in Sep 2026 (8.3k → 11.9k month-over-month), consistent adoption curve

Repository: https://github.com/Das-rebel/a3m-router
Quick install: npm install adaptive-memory-multi-model-router && npx a3m-router serve

This project is my living GTM lab — it taught me:

  • How infrastructure becomes a buying criterion for AI teams
  • What messaging converts curious developers into active users
  • How open-source adoption curves map to enterprise interest
  • Why "cheaper" isn't enough — you need resilience + control narratives

Infrastructure Context

I also maintain:

  • A3M Kong Plugin — Kong API Gateway integration for intelligent LLM routing
  • Awesome AI Gateway — Curated comparison of 100+ AI gateways, proxies, and infrastructure patterns
  • Awesome AI Model Routing — Routing strategies, cost optimization, and orchestration patterns
  • Awesome CLI Coding Agents — Terminal-native AI agents and orchestration tooling

These act as market intelligence layers — tracking what's working, what's not, and where the adoption friction is.


Who I Work With

Best fit for:

  • AI startups building on top of LLM infrastructure (need GTM + infra narrative)
  • Enterprise AI teams evaluating routing, gateways, or multi-provider strategies
  • AI infrastructure companies positioning to developers or enterprises
  • Teams building AI products and need GTM support around cost/reliability stories

Typical engagements:

  • Product positioning + messaging frameworks
  • Enterprise narrative development (how to talk about infrastructure decisions to CIOs/CTOs)
  • GTM strategy for infrastructure-adjacent AI products
  • Market research and buyer education content
  • Technical buyer persona development

Background

  • 10+ years in growth, strategy, and product — fintech, AI infrastructure, developer tooling
  • Research training in natural sciences + strategy background (IIM)
  • Built GTM strategies across marketing, retention, and infrastructure product adoption
  • Hands-on product experience: coding, shipping, launching, iterating

Connect

For consulting inquiries, partnerships, or strategic discussions:


Helping AI companies move from innovation to adoption. Infrastructure + GTM = defensibility.

Pinned Loading

  1. omniclaw omniclaw Public

    ⚡ Multi-provider LLM router: 8+ models (OpenAI, Anthropic, Gemini, Groq, Cerebras), WhatsApp/Telegram/Alexa, Hindi/Bengali support, 18 MCP browser tools. GCP-prod. Node.js + Python. MIT.

    JavaScript 2

  2. monk-cli monk-cli Public archive

    🧘 Monk CLI - Multi agnet LLM CLI Enhanced with AI Agents

    Python

  3. a3m-router a3m-router Public

    ⚡ Adaptive multi-model LLM router — 80+ providers, Jev System One single-pass routing (model=jev-auto), pheromone-trail failover, parallel ensemble merge. npm: adaptive-memory-multi-model-router

    TypeScript 17 5