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  • Tbilisi, Georgia
  • 17:45 (UTC +04:00)

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nesvet/README.md

Hey 👋

Full-stack engineer with 20 years of experience building product systems end to end — data model and protocol through UI and deployment.

Currently open to founding engineer and senior roles — remote or relocation.
CV


Things I've built:

  • Roadmap — cross-platform project management tool (Electron, React, PixiJS, MongoDB, TypeScript) — 9 years, ~120K LOC
  • YouScore — YouTube analytics platform tracking hundreds of channels; used by researchers and journalists from BBC, Deutsche Welle, Stanford University, Columbia University
  • inSite — full-stack framework: WebSocket, real-time pub/sub via MongoDB change streams, RBAC, file transfers — 16 npm packages

Other packages:
fln — flattens your codebase into one AI-ready file
cnvr — ESBuild-based build pipeline for monorepos
tmln — in-memory timeline with AVL-tree indexing
mongo-rs — MongoDB Docker image with auto-initialized replica set
pixi-texturer — packs DisplayObjects into a shared texture atlas


TypeScript · Bun / Node.js · React · MongoDB · Electron · Docker

eugene@nesvet.dev

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  1. cv cv Public

    Curriculum vitae of an independent software contractor based in Tbilisi.

    8

  2. fln fln Public

    Local, explainable context compiler for AI coding agents. Analyze → plan → emit optimal context — with why/doctor diagnostics. No embeddings, no server.

    TypeScript 4

  3. cnvr cnvr Public

    Build and dev pipeline in one config file

    JavaScript 2

  4. insite insite Public

    Real-time full-stack framework: WebSocket server/client, MongoDB + Change Streams, pub/sub publications, users/orgs/roles with RBAC, cookie auth over WS, file transfers. TypeScript/Bun monorepo wit…

    TypeScript 3

  5. mongo-rs mongo-rs Public

    Docker image: MongoDB with replica set out of the box. For Node.js, Mongoose, Change Streams, transactions. One container, no init scripts.

    Shell 2

  6. High-performance, zero-dependency to... High-performance, zero-dependency token estimation for LLMs. Approximates GPT-5, Claude, and Gemini tokenization with ~85% accuracy
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    # 🚀 Fast BPE Token Counter
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    High-performance, zero-dependency token estimation for Large Language Models. Approximates GPT-5, Claude, and Gemini tokenization with ~85% accuracy.
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    ## Why?