# Knowledge graph

An interactive force-directed graph of everything on this site — 111 nodes and 250 edges connecting projects, research, roles and skills. The rendered page is a canvas; this is the same structure as text.

## Root (1)

- **~/himanshu** (root): Knowledge graph of everything I've built — projects, research, companies, and the skills threading them together. Click any node to inspect it.

## Projects (33)

- **#projects** (domain): Personal and OSS projects, grouped by category.
- **#ai** (hub): Project category: ai.
- **CCProxy** (project): (Mar 2026 -- ongoing) A universal proxy that lets Claude Code talk to any AI provider: OpenAI, Gemini, or local Ollama models. — https://ccproxy.himanshuat.com/
- **OpenCrow** (project): (Jan 2026 -- ongoing) Open-source AI agent platform for embedding intelligent customer support assistants into web applications. Features an embeddable React chat widget with dual-layer tooling: server-side tools via OpenAPI specs and client-side tools executed in the browser. Dynamic tool merging lets the LLM pick between server and client actions per request. Includes a management dashboard for agents, products, and integrations. Inspired by usecrow.ai. — https://opencrow.himanshuat.com
- **#infra** (hub): Project category: infra.
- **AI Inference Platform** (project): (Dec 2025 -- Jan 2026) High-performance AI inference platform with intelligent model routing — classifies query complexity via embeddings and heuristics, routing simple queries to fast/cheap models and complex ones to GPT-4 class models. Multi-level caching: L1 in-memory (Moka) + L2 distributed (Redis) with semantic similarity matching via cosine similarity on embeddings. Full observability stack with Prometheus metrics and pre-configured Grafana dashboards for inference latency, cache hit rates, and model health. Fully async Rust architecture with horizontal scaling via Docker and Kubernetes. — https://infer.himanshuat.com
- **TuneSLM** (project): (Jan 2026 -- ongoing) Drop your dataset and answer a few questions — get an ipynb notebook ready for Google Colab to fine-tune your SLM of choice, powered by Unsloth. Future: AI-driven dataset analysis to automatically choose optimal training strategies and hyperparameters. — https://tuneslm.himanshuat.com
- **#devtools** (hub): Project category: devtools.
- **MockServer** (project): (Nov 2025 -- ongoing) A CLI tool that spins up a mock backend so you can build the frontend before the real one exists, with a GUI to configure it. Inject latency and errors on demand to test loading and error states in the frontend. — https://mockserver.himanshuat.com
- **FastSearch** (project): (April 2024 -- June 2024) A privacy-focused search engine written in Rust, as an alternative to Google Search. Ranks results with TF-IDF over an inverted index built for fast lookups. — https://github.com/Himasnhu-AT/FastSearch
- **FallenAngel-SE/CY** (project): (2024 -- Present [Paused because of funds issue]) A suite of AI tools for development and security, built as a coding assistant. Runs on the LLaMA 3.1 70B model. Includes interactive learning features. — https://www.linkedin.com/posts/himanshu-at_testing-out-new-product-revealed-soon-activity-7232783015360221185-t-Dr
- **Dynamo-Prisma** (project): (2024) Generates Prisma models from a JSON schema, so you don't hand-write them. — https://github.com/techsavvyash/dynamo-prisma
- **#learning** (hub): Project category: learning.
- **ScratchAI-Algo** (project): (April 2024 -- May 2024) AI/ML algorithms implemented from scratch, each with a written explanation. Covers KNN, logistic regression, K-means, decision trees, SVM, and more; 10+ so far. Built for the SynthAiLabs education work, open to contributions. — https://github.com/Himasnhu-AT/ScratchML-Algo
- **QM - Research** (project): (April 2024 -- June 2024) A research repo on using quantum computing against encryption like RSA, SHA-256, and SHA-128. Built quantum circuits in Qiskit: Quantum Fourier Transform, GHZ state, and commutation-relation experiments. Wrote OpenQASM for quantum registers and entanglement experiments. — https://github.com/Himasnhu-AT/QM-res
- **#apps** (hub): Project category: apps.
- **RustyExplorer** (project): (Oct 2023 -- Dec 2023) A cross-platform file explorer built with Rust and TypeScript on Tauri. Searches files noticeably faster than Windows Explorer, with cached directory listings to keep navigation snappy. — https://github.com/Himasnhu-AT/rusty-explorer
- **Linux Mini-Firewall** (project): (July 2023) A mini firewall application that allows users to add, delete, and print rules based on criteria like source IP, destination IP, and ports. — https://github.com/Himasnhu-AT/Linux_mini-Firewall
- **indieOS** (project): (May 2024) A demo operating system written from scratch for the x86 architecture. Includes a bootloader, shell, ports, and custom memory management. — https://github.com/Himasnhu-AT/indieOS
- **Codeforces Scraper** (project): (June 2024) A scraper to extract problems from Codeforces HTML pages and return them in JSON format. — https://github.com/Himasnhu-AT/codeforce_scrapper
- **Log Ingestor** (project): (Aug 2024 -- Sep 2024) A high-performance log ingestor that stores logs in a database or prints them to the terminal in a clean format. — https://github.com/Himasnhu-AT/LogInjestor-depreciated-
- **ZenStore (In-memory DB)** (project): (Oct 2024) A minimalistic in-memory database inspired by Redis, built entirely in Rust. — https://github.com/Himasnhu-AT/ZenStore
- **frm (Fast Delete)** (project): (Dec 2024) A high-performance, safe alternative to the `rm` command for fast file deletion, written in Rust. — https://github.com/Himasnhu-AT/frm
- **roadmap.ai** (project): (Oct 2024 -- Nov 2024) An AI-powered tool that generates personalized learning roadmaps for various technical topics. — https://roadmap-ai-xi.vercel.app
- **biv** (project): (Mar 2025) An experimental, high-performance binary data format designed as a faster alternative to JSON. — https://github.com/Himasnhu-AT/biv
- **ruspy** (project): (Nov 2024 -- Mar 2025) A hobby programming language combining Rust's efficiency with Python's simplicity, built to learn compiler design. — https://github.com/Himasnhu-AT/ruspy
- **PoW-Shield (DDoS Prevention)** (project): (Aug 2023) Prevents DDoS attacks using a Proof of Work system to validate requests before forwarding them to the server. — https://github.com/Himasnhu-AT/PoW-Shield
- **git-history** (project): (Sep 2024) A utility to convert a repository's entire Git commit history into a structured JSON file. — https://github.com/Himasnhu-AT/git-history
- **localai** (project): (Apr 2025) A desktop app to chat with and compare various local AI models deployed via Ollama, with an integrated web search tool. — https://github.com/Himasnhu-AT/localai
- **draw (Excalidraw for Mac)** (project): (Feb 2025 -- Mar 2025) A native macOS and tablet application that replicates the functionality of Excalidraw for offline use. — https://github.com/Himasnhu-AT/draw
- **Syntaxia (learncode)** (project): (Apr 2025) An interactive desktop app for learning to code through hands-on practice and AI-driven guidance. — https://github.com/Himasnhu-AT/learncode
- **dbquery** (project): (July 2025) An AI agent that translates natural language queries into SQL commands to interact with databases. — https://github.com/Himasnhu-AT/dbquery
- **codehaven.org** (project): (Nov 2024 -- Dec 2024) A minimalistic, memory-friendly IDE built with Tauri, inspired by Neovim, as a GUI-based alternative to VSCode. — https://github.com/Himasnhu-AT/codehaven.org

## Research (8)

- **#research** (domain): Research output — VTO, MoE, quantum, transformers.
- **It's the Fault Policy, Not the Page Size: Why mmap Loses to read() for Out-of-Core Scans on Apple Silicon** (research): Re-measuring mmap vs read() on Apple Silicon: a working-set crossover, attributed to OS fault-population policy rather than page size. — https://himanshuat.com/research/mmap-vs-read-apple-silicon
- **Conflict-Aware Adapter Composition (C-AAC)** (research): Outperforms base Flux, Imagen 4, and ChatGPT in skin quality and aesthetic appeal. — https://himanshuat.com/research/c-aac
- **Flux-VTON+: Hybrid Flux Inpainting and Multi-LoRA Expert Fusion** (research): State-of-the-art VTON pipeline synergizing Flux Fill and Redux with Multi-LoRA Fusion, achieving an 85% success rate on complex garments. — https://himanshuat.com/research/renu-virtual-try-on
- **MoE: Brain-Inspired LLM Architecture** (research): A whitepaper advancing MoE as a computational analogue to the brain's functional specialization. — https://himanshuat.com/research/moe-brain
- **High-Dimensional Lattice-Based Quantum Encryption (LWE)** (research): A PQC scheme using the LWE problem with detailed mathematical formulations. — https://himanshuat.com/research/lattice-based-quantum-encryption
- **GPT-Neo: Transformer Implementation** (research): Implementing 'Attention is All You Need' from scratch. — https://himanshuat.com/research/gpt-neo
- **Custom Neural Network for MNIST** (research): A custom-built Neural Net for the MNIST digit recognizer dataset. — https://himanshuat.com/research/custom-n-n-mnist

## Experience (7)

- **#experience** (domain): Companies and roles across the timeline.
- **Tejas AI** (company): Software Development Engineer (SDE) · Mar 2026 -- Aug 2026. Built Elip, an AI career coach on WhatsApp (with web, a Chrome extension, and a mobile app) that helps job seekers fix their resume, build a search profile, and get matched to jobs. The core was a FastAPI WhatsApp agent, a router model with specialist sub-agents, that parsed resumes and LinkedIn profiles, ran resume reviews, and returned ranked jobs, with cross-session memory across Redis, Postgres, and S3. Built the search layer over OpenSearch (hybrid keyword and vector search with Bedrock embeddings) and a fleet of Go services that index jobs from around 60 ATS and job boards. Built the Go backend behind the web and mobile apps, plus a Chrome extension that autofills multi-step job applications and tailors a resume to each posting. Stack: TypeScript, Go, Node.js, Nest.js, PostgreSQL, Redis, OpenSearch, Mem0, LLM, Docker, AWS. — https://himanshuat.com/experience
- **AuraX** (company): AI Researcher & CTO · Dec 2024 -- Dec 2025. Co-founded AuraX, a fashion-tech startup funded by IIIT-Hyderabad's CIE incubator. Led research on diffusion models for virtual try-on (VTO), achieving quality that outperformed Google, Stable Diffusion, and leading Indian startups in benchmark comparisons. Signed commercial deals with Aditya Birla Fashion Group and multiple brands under Mensa Brands. Built the backend and deployment infrastructure on AWS and ShaktiCloud, and tuned inference latency for production. Wound the company down as bigger players entered the space and our runway ran short. Stack: Python, PyTorch, diffusers, LoRA, CUDA, LLM, FastAPI, PostgreSQL, Redis, Docker, AWS, ShaktiCloud, Next.js, Nest.js. — https://himanshuat.com/experience
- **SynthAiLabs** (company): Founder · Dec 2023 -- Feb 2025. Researched Mixture-of-Experts (MoE) LLM architectures. Built learncode (interactive AI lessons) and eduAI (an agent that answers questions about course material). Grew techos.synthailabs to 11,000 registered students across India. Co-founded the OpenCodeDevelopers (OCD) society, which grew by word of mouth and helped 800+ students cut their CP/DSA ramp from six months to two. Stack: TypeScript, Next.js, Node.js, Express, MongoDB, PostgreSQL, Redis, Docker, CI/CD, React, TailwindCSS. — https://himanshuat.com/experience
- **Tublian** (company): AI Dev · July 2024 -- Dec 2024. Set up Docker-based build and deployment workflows. Added code obfuscation to protect the source before public deployment. Contributed to TublianOS, working on performance and the user-facing experience. Completed a system-design masterclass that used Google's search architecture as its worked example. Open Source Collaborator | Project Mentor · Dec. 2023 -- April 2024. Contributed to several open-source projects and mentored 20+ newer developers. Helped build DevDocGenie, a RAG-based chatbot for searching documentation. Reverse-engineered features like Samsung's live call translation as build exercises. Stack: Python, LLM, Ollama, FastAPI, Docker, TypeScript, React, Node.js, GitHub Actions. — https://himanshuat.com/experience
- **Stealth** (company): QM Researcher · March 2024 -- June 2024. [NDA], tested ML model deployment on quantum computers using qiskit Stack: Python, Qiskit, OpenQASM, C/C++. — https://himanshuat.com/experience
- **Excelerate** (company): Project Manager · April 2023 -- Sept 2023. Led a team of six on a global education event with a $30,000 budget. Owned the project management docs, including the RACI matrix and risk register. Delivered on schedule. Stack: TypeScript, React, Next.js. — https://himanshuat.com/experience

## Skills (62)

- **#skills** (domain): Languages, frameworks, infra, and AI/ML tools.
- **#languages** (hub): 8 skills in Languages.
- **TypeScript** (skill): Daily driver for frontend, Next.js apps, CLI tools, and most production services.
- **Python** (skill): Go-to for ML, data pipelines, scraping, and quick experiments.
- **Rust** (skill): Reach for it when latency and memory matter — inference platforms, CLIs, file tools.
- **Swift** (skill): Native iOS/macOS work — SwiftUI for clean app surfaces.
- **Dart** (skill): Cross-platform mobile builds via Flutter.
- **C/C++** (skill): Systems-level work, OS experiments, performance-critical bits.
- **Go** (skill): Backend services and concurrent network tooling.
- **Assembly x86** (skill): Bootloaders and kernel work in indieOS.
- **#frontend** (hub): 6 skills in Frontend.
- **React** (skill): Default UI library for every web product I ship.
- **Next.js** (skill): Full-stack framework of choice — App Router, RSC, edge-ready.
- **TailwindCSS** (skill): Styling layer for every Next.js / React surface I build.
- **SwiftUI** (skill): Declarative UI for native macOS and iOS apps.
- **Flutter** (skill): Cross-platform mobile when Swift isn't the right tool.
- **Tauri** (skill): Lightweight Rust-backed desktop shell — used for RustyExplorer, draw, dbquery, codehaven.
- **#backend** (hub): 9 skills in Backend.
- **Nest.js** (skill): Structured Node.js backend framework — used at scale for SynthAiLabs services.
- **Flask** (skill): Lightweight Python web framework for quick AI inference endpoints.
- **http (rust)** (skill): Low-level HTTP primitives in Rust for custom servers.
- **Axum** (skill): Async Rust web framework powering the AI Inference Platform.
- **Tokio (rust)** (skill): Async runtime underpinning every Rust service I write.
- **Node.js** (skill): Backend runtime for TypeScript services, CLIs, and dev tooling.
- **FastAPI** (skill): Async Python framework for ML serving and rapid API prototyping.
- **Express** (skill): Minimal Node.js framework — used in MockServer's mock-engine.
- **Prisma** (skill): Type-safe ORM for PostgreSQL-backed Next.js apps.
- **#database** (hub): 8 skills in Database.
- **PostgreSQL** (skill): Primary relational store for production apps.
- **MongoDB** (skill): Document store for flexible-schema workloads.
- **TimescaleDB** (skill): Time-series Postgres extension for metrics and event data.
- **Milvus** (skill): Vector database for high-recall semantic search at scale.
- **Redis** (skill): Cache, message queue, and L2 layer for the AI Inference Platform.
- **MySQL** (skill): Used in legacy/contract setups where Postgres isn't the default.
- **pgvector** (skill): Embedding storage and similarity search inside Postgres.
- **OpenSearch** (skill): Powered low-latency profile retrieval for the WhatsApp AI agents at Tejas AI.
- **#devops** (hub): 10 skills in DevOps & Cloud.
- **Docker** (skill): Default packaging for every backend service I deploy.
- **Kubernetes** (skill): Container orchestration for horizontally scaled inference workloads.
- **AWS** (skill): Primary cloud — EC2, S3, RDS, Lambda for production deploys.
- **Azure** (skill): Used selectively for client engagements requiring Microsoft stack.
- **GCP** (skill): BigQuery, Cloud Run, and Vertex AI when the workload fits.
- **ShaktiCloud** (skill): India-hosted GPU cloud — used at AuraX for diffusion inference.
- **CI/CD** (skill): Build pipelines, automated testing, and zero-touch deploys.
- **GitHub Actions** (skill): Workflow engine of choice — covers every repo I ship.
- **Prometheus** (skill): Metrics scraping for the AI Inference Platform observability stack.
- **Grafana** (skill): Dashboards on top of Prometheus for latency, cache, and model health.
- **#ai** (hub): 14 skills in AI/ML/QM.
- **PyTorch** (skill): Core deep-learning framework for VTO research and custom models.
- **TensorFlow** (skill): Used selectively where the ecosystem fits (Keras, TFLite).
- **scikit-learn** (skill): Classical ML for baselines and feature engineering.
- **diffusers** (skill): HuggingFace library used heavily for Flux-based VTO pipelines.
- **CUDA** (skill): Custom kernels and inference tuning on NVIDIA GPUs.
- **Unsloth** (skill): Memory-efficient fine-tuning library — powers TuneSLM.
- **Qiskit** (skill): IBM's quantum SDK — used for entanglement and QFT experiments.
- **OpenQASM** (skill): Quantum assembly for circuit-level optimization in QM research.
- **LLM** (skill): General large language model stack — OpenAI, Anthropic, Gemini, local Ollama.
- **LoRA** (skill): Low-rank adapters — central to AuraX's C-AAC composition algorithm.
- **Ollama** (skill): Local LLM runtime — used in localai, codehaven, and dbquery.
- **Gemini API** (skill): Google's LLM API — used in dbquery and Syntaxia.
- **OpenAPI** (skill): Spec-driven backend tooling — powers OpenCrow's server-side tool layer.
- **Mem0** (skill): Persistent conversational memory layer built for the Tejas AI WhatsApp agents.

## Edges

- ~/himanshu → #projects
- ~/himanshu → #research
- ~/himanshu → #experience
- ~/himanshu → #skills
- #skills → #sk-languages
- #sk-languages → skill:TypeScript
- #sk-languages → skill:Python
- #sk-languages → skill:Rust
- #sk-languages → skill:Swift
- #sk-languages → skill:Dart
- #sk-languages → skill:C/C++
- #sk-languages → skill:Go
- #sk-languages → skill:Assembly x86
- #skills → #sk-frontend
- #sk-frontend → skill:React
- #sk-frontend → skill:Next.js
- #sk-frontend → skill:TailwindCSS
- #sk-frontend → skill:SwiftUI
- #sk-frontend → skill:Flutter
- #sk-frontend → skill:Tauri
- #skills → #sk-backend
- #sk-backend → skill:Nest.js
- #sk-backend → skill:Flask
- #sk-backend → skill:http (rust)
- #sk-backend → skill:Axum
- #sk-backend → skill:Tokio (rust)
- #sk-backend → skill:Node.js
- #sk-backend → skill:FastAPI
- #sk-backend → skill:Express
- #sk-backend → skill:Prisma
- #skills → #sk-database
- #sk-database → skill:PostgreSQL
- #sk-database → skill:MongoDB
- #sk-database → skill:TimescaleDB
- #sk-database → skill:Milvus
- #sk-database → skill:Redis
- #sk-database → skill:MySQL
- #sk-database → skill:pgvector
- #sk-database → skill:OpenSearch
- #skills → #sk-devops-cloud
- #sk-devops-cloud → skill:Docker
- #sk-devops-cloud → skill:Kubernetes
- #sk-devops-cloud → skill:AWS
- #sk-devops-cloud → skill:Azure
- #sk-devops-cloud → skill:GCP
- #sk-devops-cloud → skill:ShaktiCloud
- #sk-devops-cloud → skill:CI/CD
- #sk-devops-cloud → skill:GitHub Actions
- #sk-devops-cloud → skill:Prometheus
- #sk-devops-cloud → skill:Grafana
- #skills → #sk-ai-ml-qm
- #sk-ai-ml-qm → skill:PyTorch
- #sk-ai-ml-qm → skill:TensorFlow
- #sk-ai-ml-qm → skill:scikit-learn
- #sk-ai-ml-qm → skill:diffusers
- #sk-ai-ml-qm → skill:CUDA
- #sk-ai-ml-qm → skill:Unsloth
- #sk-ai-ml-qm → skill:Qiskit
- #sk-ai-ml-qm → skill:OpenQASM
- #sk-ai-ml-qm → skill:LLM
- #sk-ai-ml-qm → skill:LoRA
- #sk-ai-ml-qm → skill:Ollama
- #sk-ai-ml-qm → skill:Gemini API
- #sk-ai-ml-qm → skill:OpenAPI
- #sk-ai-ml-qm → skill:Mem0
- #experience → co:tejas-ai
- co:tejas-ai → skill:TypeScript
- co:tejas-ai → skill:Go
- co:tejas-ai → skill:Node.js
- co:tejas-ai → skill:Nest.js
- co:tejas-ai → skill:PostgreSQL
- co:tejas-ai → skill:Redis
- co:tejas-ai → skill:OpenSearch
- co:tejas-ai → skill:Mem0
- co:tejas-ai → skill:LLM
- co:tejas-ai → skill:Docker
- co:tejas-ai → skill:AWS
- #experience → co:aurax
- co:aurax → skill:Python
- co:aurax → skill:PyTorch
- co:aurax → skill:diffusers
- co:aurax → skill:LoRA
- co:aurax → skill:CUDA
- co:aurax → skill:LLM
- co:aurax → skill:FastAPI
- co:aurax → skill:PostgreSQL
- co:aurax → skill:Redis
- co:aurax → skill:Docker
- co:aurax → skill:AWS
- co:aurax → skill:ShaktiCloud
- co:aurax → skill:Next.js
- co:aurax → skill:Nest.js
- co:aurax → res:c-aac
- co:aurax → res:renu-virtual-try-on
- #experience → co:synthailabs
- co:synthailabs → skill:TypeScript
- co:synthailabs → skill:Next.js
- co:synthailabs → skill:Node.js
- co:synthailabs → skill:Express
- co:synthailabs → skill:MongoDB
- co:synthailabs → skill:PostgreSQL
- co:synthailabs → skill:Redis
- co:synthailabs → skill:Docker
- co:synthailabs → skill:CI/CD
- co:synthailabs → skill:React
- co:synthailabs → skill:TailwindCSS
- co:synthailabs → res:moe-brain
- #experience → co:tublian
- co:tublian → skill:Python
- co:tublian → skill:LLM
- co:tublian → skill:Ollama
- co:tublian → skill:FastAPI
- co:tublian → skill:Docker
- co:tublian → skill:TypeScript
- co:tublian → skill:React
- co:tublian → skill:Node.js
- co:tublian → skill:GitHub Actions
- #experience → co:stealth
- co:stealth → skill:Python
- co:stealth → skill:Qiskit
- co:stealth → skill:OpenQASM
- co:stealth → skill:C/C++
- #experience → co:excelerate
- co:excelerate → skill:TypeScript
- co:excelerate → skill:React
- co:excelerate → skill:Next.js
- #projects → #pr-ai
- #pr-ai → proj:CCProxy
- proj:CCProxy → skill:TypeScript
- #pr-ai → proj:OpenCrow
- proj:OpenCrow → skill:React
- proj:OpenCrow → skill:TypeScript
- proj:OpenCrow → skill:Node.js
- proj:OpenCrow → skill:OpenAPI
- proj:OpenCrow → skill:LLM
- #projects → #pr-infra
- #pr-infra → proj:AI Inference Platform
- proj:AI Inference Platform → skill:Rust
- proj:AI Inference Platform → skill:Axum
- proj:AI Inference Platform → skill:Tokio (rust)
- proj:AI Inference Platform → skill:Redis
- proj:AI Inference Platform → skill:Prometheus
- proj:AI Inference Platform → skill:Grafana
- proj:AI Inference Platform → skill:Docker
- #pr-ai → proj:TuneSLM
- proj:TuneSLM → skill:Python
- proj:TuneSLM → skill:Unsloth
- proj:TuneSLM → skill:LLM
- #projects → #pr-devtools
- #pr-devtools → proj:MockServer
- proj:MockServer → skill:TypeScript
- proj:MockServer → skill:Next.js
- proj:MockServer → skill:Express
- #pr-devtools → proj:FastSearch
- proj:FastSearch → skill:Rust
- proj:FastSearch → skill:TypeScript
- #pr-ai → proj:FallenAngel-SE/CY
- proj:FallenAngel-SE/CY → skill:LLM
- proj:FallenAngel-SE/CY → skill:Python
- proj:FallenAngel-SE/CY → skill:TypeScript
- #pr-devtools → proj:Dynamo-Prisma
- proj:Dynamo-Prisma → skill:TypeScript
- proj:Dynamo-Prisma → skill:Prisma
- proj:Dynamo-Prisma → skill:Node.js
- #projects → #pr-learning
- #pr-learning → proj:ScratchAI-Algo
- proj:ScratchAI-Algo → skill:Python
- co:synthailabs → proj:ScratchAI-Algo
- #pr-learning → proj:QM - Research
- proj:QM - Research → skill:Python
- proj:QM - Research → skill:Qiskit
- proj:QM - Research → skill:OpenQASM
- #projects → #pr-apps
- #pr-apps → proj:RustyExplorer
- proj:RustyExplorer → skill:Rust
- proj:RustyExplorer → skill:TypeScript
- proj:RustyExplorer → skill:Tauri
- proj:RustyExplorer → skill:TailwindCSS
- proj:RustyExplorer → skill:React
- #pr-learning → proj:Linux Mini-Firewall
- proj:Linux Mini-Firewall → skill:C/C++
- #pr-learning → proj:indieOS
- proj:indieOS → skill:Assembly x86
- proj:indieOS → skill:C/C++
- #pr-devtools → proj:Codeforces Scraper
- proj:Codeforces Scraper → skill:Python
- #pr-devtools → proj:Log Ingestor
- proj:Log Ingestor → skill:Rust
- #pr-apps → proj:ZenStore (In-memory DB)
- proj:ZenStore (In-memory DB) → skill:Rust
- #pr-devtools → proj:frm (Fast Delete)
- proj:frm (Fast Delete) → skill:Rust
- #pr-apps → proj:roadmap.ai
- proj:roadmap.ai → skill:Next.js
- proj:roadmap.ai → skill:LLM
- #pr-devtools → proj:biv
- proj:biv → skill:Rust
- #pr-learning → proj:ruspy
- proj:ruspy → skill:Rust
- #pr-apps → proj:PoW-Shield (DDoS Prevention)
- proj:PoW-Shield (DDoS Prevention) → skill:C/C++
- proj:PoW-Shield (DDoS Prevention) → skill:Rust
- proj:PoW-Shield (DDoS Prevention) → skill:TypeScript
- #pr-devtools → proj:git-history
- proj:git-history → skill:Rust
- proj:git-history → skill:Python
- #pr-apps → proj:localai
- proj:localai → skill:Tauri
- proj:localai → skill:Rust
- proj:localai → skill:Next.js
- proj:localai → skill:Ollama
- #pr-apps → proj:draw (Excalidraw for Mac)
- proj:draw (Excalidraw for Mac) → skill:Tauri
- proj:draw (Excalidraw for Mac) → skill:Rust
- proj:draw (Excalidraw for Mac) → skill:Next.js
- #pr-apps → proj:Syntaxia (learncode)
- proj:Syntaxia (learncode) → skill:Tauri
- proj:Syntaxia (learncode) → skill:Rust
- proj:Syntaxia (learncode) → skill:Next.js
- proj:Syntaxia (learncode) → skill:Ollama
- proj:Syntaxia (learncode) → skill:Gemini API
- #pr-apps → proj:dbquery
- proj:dbquery → skill:Tauri
- proj:dbquery → skill:Rust
- proj:dbquery → skill:Next.js
- proj:dbquery → skill:Ollama
- proj:dbquery → skill:Gemini API
- #pr-apps → proj:codehaven.org
- proj:codehaven.org → skill:Tauri
- proj:codehaven.org → skill:Rust
- proj:codehaven.org → skill:Next.js
- proj:codehaven.org → skill:Ollama
- #research → res:mmap-vs-read-apple-silicon
- res:mmap-vs-read-apple-silicon → skill:C/C++
- res:mmap-vs-read-apple-silicon → skill:Rust
- res:mmap-vs-read-apple-silicon → skill:PostgreSQL
- #research → res:c-aac
- res:c-aac → skill:LLM
- res:c-aac → skill:diffusers
- res:c-aac → skill:LoRA
- #research → res:renu-virtual-try-on
- res:renu-virtual-try-on → skill:diffusers
- res:renu-virtual-try-on → skill:LoRA
- #research → res:moe-brain
- res:moe-brain → skill:LLM
- #research → res:lattice-based-quantum-encryption
- #research → res:gpt-neo
- res:gpt-neo → skill:PyTorch
- #research → res:custom-n-n-mnist
- res:custom-n-n-mnist → skill:PyTorch

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Source: https://himanshuat.com/graph