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anilmurty/README.md

Hi, I'm Anil πŸ‘‹

Founder @ TokenJam Β· Engineer, PM, Builder Β· Portland, OR

Twenty years building B2B infrastructure products β€” first as an engineer, then as a product leader, now as a founder. I started out writing firmware for IP video and Wi‑Fi hardware at Motorola and led a 13-person team that shipped 5M+ devices. I then moved into product, owning enterprise networking portfolios at Xirrus and Open Mesh, and later cloud developer platforms: Terraform Cloud at HashiCorp (0 β†’ 60K users), APM at New Relic, and Kentik's monitoring line (40Γ— ARR in six quarters). Most recently I was VP of Product & Engineering at Akash Network, where I ran product, engineering, and design for a decentralized GPU cloud and moved its roadmap to an open-source, community-driven model.

Today I'm building TokenJam solo: an open-source tool that makes AI agents cheaper to run. I write mostly Python and TypeScript, and I still like shipping small tools for generative media on the side.


πŸš€ Featured: TokenJam

Token efficiency for AI agents. TokenJam reads your agent's telemetry, finds where tokens are being wasted, and suggests fixes β€” reducing spend by up to 40%. Works with Claude Code, Codex, and your own SDK/API agents. Runs 100% locally: no cloud, no signup, no vendor lock-in.

PyPI Downloads npm GitHub stars License: MIT Total downloads

⭐ 100+ stars Β· πŸ‘₯ 25 contributors Β· 🍴 28 forks Β· πŸ“¦ 25K+ downloads (18K PyPI + 7K npm) β€” built and launched solo in under 2 months.

npx tokenjam onboard   # or: pipx install tokenjam && tj onboard
Repo What it is
tokenjam The core CLI, analyzers, and local dashboard (Lens). OTel GenAI semconv compatible.
tokenjam-bench Evidence-based benchmarks & evals: does "downsize this model" actually hold up? Runs the cheaper model against executable benchmarks and reports where it keeps up and where it breaks.
tokenjam-fleet Reference agents that showcase TokenJam end-to-end.

🌐 tokenjam.dev Β· πŸ“– Docs Β· πŸ“Š Bench


πŸ› οΈ Products

Project Description Stack
Twinklebot Β· twinklebot.app AI-generated personalized storybooks for kids. Upload a few photos, pick a story template, and your child becomes the hero. Next.js 16, React 19, Supabase, Replicate
TryCrib Β· trycrib.com Try before you buy: book short-term stays in homes you're considering purchasing, so you can test the house, the neighborhood, and the commute before making an offer. Next.js, TypeScript, Supabase
OpenClawWatch Telemetry and observability for AI agents running on OpenClaw. The ideas here evolved into TokenJam, which now ingests OpenClaw telemetry natively. Python, OpenTelemetry

🎨 Generative media tooling

Small, focused tools I built while shipping Twinklebot β€” to answer "which model and which provider should I actually use?"

Project Description Stack
image-gen-evaluator Compare image-generation models and providers side-by-side. Enter one prompt, fire all selected models in parallel, and see results stream in with latency and cost per image. Supports reference images for editing models. Node.js, SSE, Replicate, xAI
ai-video-model-tester Test and compare AI video-generation models (Sora-2 via OpenAI and Replicate) from a single UI with live progress tracking. React, Replicate, OpenAI
yt-video-gen-ai Transcribe YouTube videos, rewrite the narrative with an LLM, and render a brand-new narrated video with AI visuals. Python, Whisper, GPT, DALLΒ·E, ElevenLabs, MoviePy

⚑ Decentralized inference

Project Description Stack
adda Akash Distributed Diffusion App. Decomposes the Stable Diffusion pipeline (text encoder β†’ UNet β†’ VAE) into independent services running on separate GPU providers across the Akash Network. Includes a plain-English "Diffusion 101" walkthrough. PyTorch, Akash, Docker

πŸ’Ό Experience

Twenty years across engineering, tech lead, and product roles β€” from writing firmware for Wi‑Fi and IP video hardware, to running product and engineering for cloud/AI infrastructure, to founding TokenJam. Full details on LinkedIn.

Open source, cloud & AI infrastructure

Role Highlights
TokenJam
2026 – present
Solo Founder AI spend control plane for FinOps teams plus an open-source CLI for Claude Code / Codex users. Conceived the product and the open-source-first strategy; built every feature across 5 repos, the websites, and 20+ blog posts. Integrations for Claude Code, Codex, LangChain, Langfuse, OpenAI/Anthropic APIs, AWS Bedrock, Google Gemini (ADK), NVIDIA NemoClaw, LiteLLM.
Akash Network (Overclock Labs)
2022 – 2026
VP, Product & Engineering Led product + eng + design for a decentralized GPU cloud marketplace; on the exec team within 6 months. Moved the roadmap to an open-source SIG/WG community model. Shipped the GPU marketplace, Deployment Console, Provider Console, Confidential Computing, AkashML inference, HomeNode, and public APIs β€” up to 10Γ— YoY growth. Built the DevOps/SRE function; spoke at a dozen conferences.
Kentik (acq. by Infoblox)
2020 – 2022
Director, Product Management Launched the Digital Experience Monitoring line (synthetic, BGP, agent-network, end-user monitoring) from zero β†’ 40Γ— ARR growth in 6 quarters. Owned platform APIs and the New Relic partnership.
HashiCorp
2019 – 2020
Sr. Product Manager, Terraform Cloud Owned the self-serve Terraform Cloud launch and growth from 0 β†’ 60K users: remote operations, self-serve billing (Stripe), user management, and data-driven onboarding/activation/retention.
New Relic
2017 – 2019
Sr. Product Manager, APM Lead PM for APM (~60% of $450M ARR). Owned .NET/Azure strategy ($60M ARR) and shaped APM for Kubernetes & containers.

Hardware, firmware & networking

Role Highlights
Open Mesh (acq. by Datto)
2015 – 2017
Director of Product First product hire; owned the full hardware, firmware, and cloud-management SaaS roadmap. Conceived and launched 2 new product lines that were central to the company's acquisition.
Xirrus (acq. by Cambium Networks)
2012 – 2015
Sr. Product Manager Enterprise Wi‑Fi, switching, and NMS portfolio ($50M+). Managed the Avaya OEM partnership; launched Wi‑Fi Designer Cloud (predictive RF planner) and Xirrus Access Manager.
Motorola (acq. by Google)
2006 – 2012
Sr. Engineer β†’ Sr. Staff Engineer / Tech Lead Wrote firmware and software for IP video devices, then owned the software stack for the Motorola VAP consumer Wi‑Fi device, leading a 13-person distributed team. 30+ releases across 3 hardware platforms, > 5M devices shipped to tier-1/2/3 telcos.

Education: MBA, University of San Diego Β· MS Electrical Engineering, USC Β· BS Electrical Engineering, Andhra University


πŸ”— Elsewhere

tokenjam.dev Β· metabldr.com Β· X / @anilmurty_ai Β· LinkedIn

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  1. Metabuilder-Labs/tokenjam Metabuilder-Labs/tokenjam Public

    Token Efficiency For AI Agents

    Python 107 31

  2. Metabuilder-Labs/tokenjam-bench Metabuilder-Labs/tokenjam-bench Public

    Benchmarking & Evals for TokenJam

    Python 12 6

  3. image-gen-evaluator image-gen-evaluator Public

    Compare image-generation models & providers side-by-side: quality, latency, and cost

    HTML 1 1

  4. adda adda Public

    AddA: distributed Stable Diffusion inference across Akash Network GPU providers

    Python

  5. ai-video-model-tester ai-video-model-tester Public

    Test and compare AI video-generation models (Sora-2 via OpenAI & Replicate) from one UI

    JavaScript 1

  6. yt-video-gen-ai yt-video-gen-ai Public

    Transcribe YouTube videos, rewrite the narrative with AI, and render new narrated videos

    Python