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prgofficial/README.md

Pranav Govind

Co-founder & CTO · ZyFolks Technologies
Kozhikode, India

prgofficial.me · zyfolks.com · linkedin · email


I build software where product decisions, engineering, and systems design meet.

My work spans product architecture, application engineering, AI systems, and infrastructure. I care about building things that are straightforward to operate, deliberate in their trade-offs, and useful beyond the first release.

My background is in mechanical engineering, graduating in 2019. I moved into software development in 2021 and have since worked across product development, technical leadership, and early-stage software systems.


What I work on

Product engineering Taking products from an idea or requirement to a working system, with attention to architecture, implementation, and the decisions that become expensive later.

AI systems AI-assisted products, integrations, workflows, evaluation, and the surrounding infrastructure required to make them dependable.

Application architecture APIs, multi-tenant systems, databases, authentication, integrations, background processing, and the less visible parts that make software hold together.

Web3 Smart contracts, wallet integrations, on-chain interactions, and applications built around blockchain infrastructure.


Selected work

Most of my production work is private. A few public projects are below.

ProjectDescription
Zybo AIAI support system grounded in a company's own documentation, with human escalation when confidence is low.
AI Blockchain ExplorerNatural-language exploration of wallets and on-chain activity across multiple networks.
Content StudioResearch, drafting, source validation, and human review brought into a single AI-assisted workflow.
AI Virtual Try-OnImage-generation based virtual try-on that generates the garment onto the subject rather than simply overlaying it.
Web3 DappsDecentralized applications combining smart contracts, wallet connectivity, and on-chain logic.
OperationsHubInternal business platform covering CRM, invoicing, approvals, and reporting.
eCommerce PlatformCommerce platform covering catalogues, payments, orders, and fulfilment workflows.

Open source

A local-first analytics tool for understanding how AI coding assistants are used across projects.

It reads locally stored coding-assistant transcripts and turns them into analytics around projects, activity, and usage. The data comes from the user's own events rather than sample or synthetic data.

One of the core design constraints is privacy:

The application makes no outbound network calls.

There is no account, API key, or telemetry. The test suite patches the socket layer and runs the full pipeline — ingestion, enrichment, aggregation, and export — failing the build if anything attempts to connect outside the machine.

git clone https://github.com/prgofficial/ai-footprint
cd ai-footprint
sh init.sh

TypeScript · NestJS · React · SQLite / FTS5 · Docker · Node.js 20+ · MIT


Technology

Languages

TypeScript Python JavaScript Solidity

Application

Node.js NestJS React Astro Laravel

Infrastructure

PostgreSQL SQLite Docker AWS GitHub Actions


Principles

I generally prefer:

simple systems over unnecessary abstraction

boring infrastructure over complexity for its own sake

measurable behaviour over assumptions

good defaults over configuration everywhere

shipping over endlessly polishing the plan



prgofficial.me · LinkedIn · prg@zyfolks.com

Pinned Loading

  1. ai-footprintai-footprintPublic

    AI Footprint turns the activity your AI coding assistants already write to your own disk into analytics about how you actually work: what you bring to AI, which projects and technologies dominate, …

    TypeScript 1

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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prgofficial/README.md

Pranav Govind

Co-founder & CTO · ZyFolks Technologies
Kozhikode, India

prgofficial.me · zyfolks.com · linkedin · email


I build software where product decisions, engineering, and systems design meet.

My work spans product architecture, application engineering, AI systems, and infrastructure. I care about building things that are straightforward to operate, deliberate in their trade-offs, and useful beyond the first release.

My background is in mechanical engineering, graduating in 2019. I moved into software development in 2021 and have since worked across product development, technical leadership, and early-stage software systems.


What I work on

Product engineering Taking products from an idea or requirement to a working system, with attention to architecture, implementation, and the decisions that become expensive later.

AI systems AI-assisted products, integrations, workflows, evaluation, and the surrounding infrastructure required to make them dependable.

Application architecture APIs, multi-tenant systems, databases, authentication, integrations, background processing, and the less visible parts that make software hold together.

Web3 Smart contracts, wallet integrations, on-chain interactions, and applications built around blockchain infrastructure.


Selected work

Most of my production work is private. A few public projects are below.

ProjectDescription
Zybo AIAI support system grounded in a company's own documentation, with human escalation when confidence is low.
AI Blockchain ExplorerNatural-language exploration of wallets and on-chain activity across multiple networks.
Content StudioResearch, drafting, source validation, and human review brought into a single AI-assisted workflow.
AI Virtual Try-OnImage-generation based virtual try-on that generates the garment onto the subject rather than simply overlaying it.
Web3 DappsDecentralized applications combining smart contracts, wallet connectivity, and on-chain logic.
OperationsHubInternal business platform covering CRM, invoicing, approvals, and reporting.
eCommerce PlatformCommerce platform covering catalogues, payments, orders, and fulfilment workflows.

Open source

A local-first analytics tool for understanding how AI coding assistants are used across projects.

It reads locally stored coding-assistant transcripts and turns them into analytics around projects, activity, and usage. The data comes from the user's own events rather than sample or synthetic data.

One of the core design constraints is privacy:

The application makes no outbound network calls.

There is no account, API key, or telemetry. The test suite patches the socket layer and runs the full pipeline — ingestion, enrichment, aggregation, and export — failing the build if anything attempts to connect outside the machine.

git clone https://github.com/prgofficial/ai-footprint
cd ai-footprint
sh init.sh

TypeScript · NestJS · React · SQLite / FTS5 · Docker · Node.js 20+ · MIT


Technology

Languages

TypeScript Python JavaScript Solidity

Application

Node.js NestJS React Astro Laravel

Infrastructure

PostgreSQL SQLite Docker AWS GitHub Actions


Principles

I generally prefer:

simple systems over unnecessary abstraction

boring infrastructure over complexity for its own sake

measurable behaviour over assumptions

good defaults over configuration everywhere

shipping over endlessly polishing the plan



prgofficial.me · LinkedIn · prg@zyfolks.com

Pinned Loading

  1. ai-footprintai-footprintPublic

    AI Footprint turns the activity your AI coding assistants already write to your own disk into analytics about how you actually work: what you bring to AI, which projects and technologies dominate, …

    TypeScript 1

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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View prgofficial's full-sized avatar
Imagination. Engineered.
Imagination. Engineered.

Organizations

@TroJanzHEX

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prgofficial/README.md

Pranav Govind

Co-founder & CTO · ZyFolks Technologies
Kozhikode, India

prgofficial.me · zyfolks.com · linkedin · email


I build software where product decisions, engineering, and systems design meet.

My work spans product architecture, application engineering, AI systems, and infrastructure. I care about building things that are straightforward to operate, deliberate in their trade-offs, and useful beyond the first release.

My background is in mechanical engineering, graduating in 2019. I moved into software development in 2021 and have since worked across product development, technical leadership, and early-stage software systems.


What I work on

Product engineering Taking products from an idea or requirement to a working system, with attention to architecture, implementation, and the decisions that become expensive later.

AI systems AI-assisted products, integrations, workflows, evaluation, and the surrounding infrastructure required to make them dependable.

Application architecture APIs, multi-tenant systems, databases, authentication, integrations, background processing, and the less visible parts that make software hold together.

Web3 Smart contracts, wallet integrations, on-chain interactions, and applications built around blockchain infrastructure.


Selected work

Most of my production work is private. A few public projects are below.

ProjectDescription
Zybo AIAI support system grounded in a company's own documentation, with human escalation when confidence is low.
AI Blockchain ExplorerNatural-language exploration of wallets and on-chain activity across multiple networks.
Content StudioResearch, drafting, source validation, and human review brought into a single AI-assisted workflow.
AI Virtual Try-OnImage-generation based virtual try-on that generates the garment onto the subject rather than simply overlaying it.
Web3 DappsDecentralized applications combining smart contracts, wallet connectivity, and on-chain logic.
OperationsHubInternal business platform covering CRM, invoicing, approvals, and reporting.
eCommerce PlatformCommerce platform covering catalogues, payments, orders, and fulfilment workflows.

Open source

A local-first analytics tool for understanding how AI coding assistants are used across projects.

It reads locally stored coding-assistant transcripts and turns them into analytics around projects, activity, and usage. The data comes from the user's own events rather than sample or synthetic data.

One of the core design constraints is privacy:

The application makes no outbound network calls.

There is no account, API key, or telemetry. The test suite patches the socket layer and runs the full pipeline — ingestion, enrichment, aggregation, and export — failing the build if anything attempts to connect outside the machine.

git clone https://github.com/prgofficial/ai-footprint
cd ai-footprint
sh init.sh

TypeScript · NestJS · React · SQLite / FTS5 · Docker · Node.js 20+ · MIT


Technology

Languages

TypeScript Python JavaScript Solidity

Application

Node.js NestJS React Astro Laravel

Infrastructure

PostgreSQL SQLite Docker AWS GitHub Actions


Principles

I generally prefer:

simple systems over unnecessary abstraction

boring infrastructure over complexity for its own sake

measurable behaviour over assumptions

good defaults over configuration everywhere

shipping over endlessly polishing the plan



prgofficial.me · LinkedIn · prg@zyfolks.com

Pinned Loading

  1. ai-footprintai-footprintPublic

    AI Footprint turns the activity your AI coding assistants already write to your own disk into analytics about how you actually work: what you bring to AI, which projects and technologies dominate, …

    TypeScript 1

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Imagination. Engineered.

Organizations

@TroJanzHEX

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prgofficial/README.md

Pranav Govind

Co-founder & CTO · ZyFolks Technologies
Kozhikode, India

prgofficial.me · zyfolks.com · linkedin · email


I build software where product decisions, engineering, and systems design meet.

My work spans product architecture, application engineering, AI systems, and infrastructure. I care about building things that are straightforward to operate, deliberate in their trade-offs, and useful beyond the first release.

My background is in mechanical engineering, graduating in 2019. I moved into software development in 2021 and have since worked across product development, technical leadership, and early-stage software systems.


What I work on

Product engineering Taking products from an idea or requirement to a working system, with attention to architecture, implementation, and the decisions that become expensive later.

AI systems AI-assisted products, integrations, workflows, evaluation, and the surrounding infrastructure required to make them dependable.

Application architecture APIs, multi-tenant systems, databases, authentication, integrations, background processing, and the less visible parts that make software hold together.

Web3 Smart contracts, wallet integrations, on-chain interactions, and applications built around blockchain infrastructure.


Selected work

Most of my production work is private. A few public projects are below.

ProjectDescription
Zybo AIAI support system grounded in a company's own documentation, with human escalation when confidence is low.
AI Blockchain ExplorerNatural-language exploration of wallets and on-chain activity across multiple networks.
Content StudioResearch, drafting, source validation, and human review brought into a single AI-assisted workflow.
AI Virtual Try-OnImage-generation based virtual try-on that generates the garment onto the subject rather than simply overlaying it.
Web3 DappsDecentralized applications combining smart contracts, wallet connectivity, and on-chain logic.
OperationsHubInternal business platform covering CRM, invoicing, approvals, and reporting.
eCommerce PlatformCommerce platform covering catalogues, payments, orders, and fulfilment workflows.

Open source

A local-first analytics tool for understanding how AI coding assistants are used across projects.

It reads locally stored coding-assistant transcripts and turns them into analytics around projects, activity, and usage. The data comes from the user's own events rather than sample or synthetic data.

One of the core design constraints is privacy:

The application makes no outbound network calls.

There is no account, API key, or telemetry. The test suite patches the socket layer and runs the full pipeline — ingestion, enrichment, aggregation, and export — failing the build if anything attempts to connect outside the machine.

git clone https://github.com/prgofficial/ai-footprint
cd ai-footprint
sh init.sh

TypeScript · NestJS · React · SQLite / FTS5 · Docker · Node.js 20+ · MIT


Technology

Languages

TypeScript Python JavaScript Solidity

Application

Node.js NestJS React Astro Laravel

Infrastructure

PostgreSQL SQLite Docker AWS GitHub Actions


Principles

I generally prefer:

simple systems over unnecessary abstraction

boring infrastructure over complexity for its own sake

measurable behaviour over assumptions

good defaults over configuration everywhere

shipping over endlessly polishing the plan



prgofficial.me · LinkedIn · prg@zyfolks.com

Pinned Loading

  1. ai-footprintai-footprintPublic

    AI Footprint turns the activity your AI coding assistants already write to your own disk into analytics about how you actually work: what you bring to AI, which projects and technologies dominate, …

    TypeScript 1

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Imagination. Engineered.

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@TroJanzHEX

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prgofficial/README.md

Pranav Govind

Co-founder & CTO · ZyFolks Technologies
Kozhikode, India

prgofficial.me · zyfolks.com · linkedin · email


I build software where product decisions, engineering, and systems design meet.

My work spans product architecture, application engineering, AI systems, and infrastructure. I care about building things that are straightforward to operate, deliberate in their trade-offs, and useful beyond the first release.

My background is in mechanical engineering, graduating in 2019. I moved into software development in 2021 and have since worked across product development, technical leadership, and early-stage software systems.


What I work on

Product engineering Taking products from an idea or requirement to a working system, with attention to architecture, implementation, and the decisions that become expensive later.

AI systems AI-assisted products, integrations, workflows, evaluation, and the surrounding infrastructure required to make them dependable.

Application architecture APIs, multi-tenant systems, databases, authentication, integrations, background processing, and the less visible parts that make software hold together.

Web3 Smart contracts, wallet integrations, on-chain interactions, and applications built around blockchain infrastructure.


Selected work

Most of my production work is private. A few public projects are below.

ProjectDescription
Zybo AIAI support system grounded in a company's own documentation, with human escalation when confidence is low.
AI Blockchain ExplorerNatural-language exploration of wallets and on-chain activity across multiple networks.
Content StudioResearch, drafting, source validation, and human review brought into a single AI-assisted workflow.
AI Virtual Try-OnImage-generation based virtual try-on that generates the garment onto the subject rather than simply overlaying it.
Web3 DappsDecentralized applications combining smart contracts, wallet connectivity, and on-chain logic.
OperationsHubInternal business platform covering CRM, invoicing, approvals, and reporting.
eCommerce PlatformCommerce platform covering catalogues, payments, orders, and fulfilment workflows.

Open source

A local-first analytics tool for understanding how AI coding assistants are used across projects.

It reads locally stored coding-assistant transcripts and turns them into analytics around projects, activity, and usage. The data comes from the user's own events rather than sample or synthetic data.

One of the core design constraints is privacy:

The application makes no outbound network calls.

There is no account, API key, or telemetry. The test suite patches the socket layer and runs the full pipeline — ingestion, enrichment, aggregation, and export — failing the build if anything attempts to connect outside the machine.

git clone https://github.com/prgofficial/ai-footprint
cd ai-footprint
sh init.sh

TypeScript · NestJS · React · SQLite / FTS5 · Docker · Node.js 20+ · MIT


Technology

Languages

TypeScript Python JavaScript Solidity

Application

Node.js NestJS React Astro Laravel

Infrastructure

PostgreSQL SQLite Docker AWS GitHub Actions


Principles

I generally prefer:

simple systems over unnecessary abstraction

boring infrastructure over complexity for its own sake

measurable behaviour over assumptions

good defaults over configuration everywhere

shipping over endlessly polishing the plan



prgofficial.me · LinkedIn · prg@zyfolks.com

Pinned Loading

  1. ai-footprintai-footprintPublic

    AI Footprint turns the activity your AI coding assistants already write to your own disk into analytics about how you actually work: what you bring to AI, which projects and technologies dominate, …

    TypeScript 1

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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prgofficial/README.md

Pranav Govind

Co-founder & CTO · ZyFolks Technologies
Kozhikode, India

prgofficial.me · zyfolks.com · linkedin · email


I build software where product decisions, engineering, and systems design meet.

My work spans product architecture, application engineering, AI systems, and infrastructure. I care about building things that are straightforward to operate, deliberate in their trade-offs, and useful beyond the first release.

My background is in mechanical engineering, graduating in 2019. I moved into software development in 2021 and have since worked across product development, technical leadership, and early-stage software systems.


What I work on

Product engineering Taking products from an idea or requirement to a working system, with attention to architecture, implementation, and the decisions that become expensive later.

AI systems AI-assisted products, integrations, workflows, evaluation, and the surrounding infrastructure required to make them dependable.

Application architecture APIs, multi-tenant systems, databases, authentication, integrations, background processing, and the less visible parts that make software hold together.

Web3 Smart contracts, wallet integrations, on-chain interactions, and applications built around blockchain infrastructure.


Selected work

Most of my production work is private. A few public projects are below.

ProjectDescription
Zybo AIAI support system grounded in a company's own documentation, with human escalation when confidence is low.
AI Blockchain ExplorerNatural-language exploration of wallets and on-chain activity across multiple networks.
Content StudioResearch, drafting, source validation, and human review brought into a single AI-assisted workflow.
AI Virtual Try-OnImage-generation based virtual try-on that generates the garment onto the subject rather than simply overlaying it.
Web3 DappsDecentralized applications combining smart contracts, wallet connectivity, and on-chain logic.
OperationsHubInternal business platform covering CRM, invoicing, approvals, and reporting.
eCommerce PlatformCommerce platform covering catalogues, payments, orders, and fulfilment workflows.

Open source

A local-first analytics tool for understanding how AI coding assistants are used across projects.

It reads locally stored coding-assistant transcripts and turns them into analytics around projects, activity, and usage. The data comes from the user's own events rather than sample or synthetic data.

One of the core design constraints is privacy:

The application makes no outbound network calls.

There is no account, API key, or telemetry. The test suite patches the socket layer and runs the full pipeline — ingestion, enrichment, aggregation, and export — failing the build if anything attempts to connect outside the machine.

git clone https://github.com/prgofficial/ai-footprint
cd ai-footprint
sh init.sh

TypeScript · NestJS · React · SQLite / FTS5 · Docker · Node.js 20+ · MIT


Technology

Languages

TypeScript Python JavaScript Solidity

Application

Node.js NestJS React Astro Laravel

Infrastructure

PostgreSQL SQLite Docker AWS GitHub Actions


Principles

I generally prefer:

simple systems over unnecessary abstraction

boring infrastructure over complexity for its own sake

measurable behaviour over assumptions

good defaults over configuration everywhere

shipping over endlessly polishing the plan



prgofficial.me · LinkedIn · prg@zyfolks.com

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  1. ai-footprintai-footprintPublic

    AI Footprint turns the activity your AI coding assistants already write to your own disk into analytics about how you actually work: what you bring to AI, which projects and technologies dominate, …

    TypeScript 1

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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prgofficial/README.md

Pranav Govind

Co-founder & CTO · ZyFolks Technologies
Kozhikode, India

prgofficial.me · zyfolks.com · linkedin · email


I build software where product decisions, engineering, and systems design meet.

My work spans product architecture, application engineering, AI systems, and infrastructure. I care about building things that are straightforward to operate, deliberate in their trade-offs, and useful beyond the first release.

My background is in mechanical engineering, graduating in 2019. I moved into software development in 2021 and have since worked across product development, technical leadership, and early-stage software systems.


What I work on

Product engineering Taking products from an idea or requirement to a working system, with attention to architecture, implementation, and the decisions that become expensive later.

AI systems AI-assisted products, integrations, workflows, evaluation, and the surrounding infrastructure required to make them dependable.

Application architecture APIs, multi-tenant systems, databases, authentication, integrations, background processing, and the less visible parts that make software hold together.

Web3 Smart contracts, wallet integrations, on-chain interactions, and applications built around blockchain infrastructure.


Selected work

Most of my production work is private. A few public projects are below.

ProjectDescription
Zybo AIAI support system grounded in a company's own documentation, with human escalation when confidence is low.
AI Blockchain ExplorerNatural-language exploration of wallets and on-chain activity across multiple networks.
Content StudioResearch, drafting, source validation, and human review brought into a single AI-assisted workflow.
AI Virtual Try-OnImage-generation based virtual try-on that generates the garment onto the subject rather than simply overlaying it.
Web3 DappsDecentralized applications combining smart contracts, wallet connectivity, and on-chain logic.
OperationsHubInternal business platform covering CRM, invoicing, approvals, and reporting.
eCommerce PlatformCommerce platform covering catalogues, payments, orders, and fulfilment workflows.

Open source

A local-first analytics tool for understanding how AI coding assistants are used across projects.

It reads locally stored coding-assistant transcripts and turns them into analytics around projects, activity, and usage. The data comes from the user's own events rather than sample or synthetic data.

One of the core design constraints is privacy:

The application makes no outbound network calls.

There is no account, API key, or telemetry. The test suite patches the socket layer and runs the full pipeline — ingestion, enrichment, aggregation, and export — failing the build if anything attempts to connect outside the machine.

git clone https://github.com/prgofficial/ai-footprint
cd ai-footprint
sh init.sh

TypeScript · NestJS · React · SQLite / FTS5 · Docker · Node.js 20+ · MIT


Technology

Languages

TypeScript Python JavaScript Solidity

Application

Node.js NestJS React Astro Laravel

Infrastructure

PostgreSQL SQLite Docker AWS GitHub Actions


Principles

I generally prefer:

simple systems over unnecessary abstraction

boring infrastructure over complexity for its own sake

measurable behaviour over assumptions

good defaults over configuration everywhere

shipping over endlessly polishing the plan



prgofficial.me · LinkedIn · prg@zyfolks.com

Pinned Loading

  1. ai-footprintai-footprintPublic

    AI Footprint turns the activity your AI coding assistants already write to your own disk into analytics about how you actually work: what you bring to AI, which projects and technologies dominate, …

    TypeScript 1

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content
View prgofficial's full-sized avatar
Imagination. Engineered.
Imagination. Engineered.

Organizations

@TroJanzHEX

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prgofficial/README.md

Pranav Govind

Co-founder & CTO · ZyFolks Technologies
Kozhikode, India

prgofficial.me · zyfolks.com · linkedin · email


I build software where product decisions, engineering, and systems design meet.

My work spans product architecture, application engineering, AI systems, and infrastructure. I care about building things that are straightforward to operate, deliberate in their trade-offs, and useful beyond the first release.

My background is in mechanical engineering, graduating in 2019. I moved into software development in 2021 and have since worked across product development, technical leadership, and early-stage software systems.


What I work on

Product engineering Taking products from an idea or requirement to a working system, with attention to architecture, implementation, and the decisions that become expensive later.

AI systems AI-assisted products, integrations, workflows, evaluation, and the surrounding infrastructure required to make them dependable.

Application architecture APIs, multi-tenant systems, databases, authentication, integrations, background processing, and the less visible parts that make software hold together.

Web3 Smart contracts, wallet integrations, on-chain interactions, and applications built around blockchain infrastructure.


Selected work

Most of my production work is private. A few public projects are below.

ProjectDescription
Zybo AIAI support system grounded in a company's own documentation, with human escalation when confidence is low.
AI Blockchain ExplorerNatural-language exploration of wallets and on-chain activity across multiple networks.
Content StudioResearch, drafting, source validation, and human review brought into a single AI-assisted workflow.
AI Virtual Try-OnImage-generation based virtual try-on that generates the garment onto the subject rather than simply overlaying it.
Web3 DappsDecentralized applications combining smart contracts, wallet connectivity, and on-chain logic.
OperationsHubInternal business platform covering CRM, invoicing, approvals, and reporting.
eCommerce PlatformCommerce platform covering catalogues, payments, orders, and fulfilment workflows.

Open source

A local-first analytics tool for understanding how AI coding assistants are used across projects.

It reads locally stored coding-assistant transcripts and turns them into analytics around projects, activity, and usage. The data comes from the user's own events rather than sample or synthetic data.

One of the core design constraints is privacy:

The application makes no outbound network calls.

There is no account, API key, or telemetry. The test suite patches the socket layer and runs the full pipeline — ingestion, enrichment, aggregation, and export — failing the build if anything attempts to connect outside the machine.

git clone https://github.com/prgofficial/ai-footprint
cd ai-footprint
sh init.sh

TypeScript · NestJS · React · SQLite / FTS5 · Docker · Node.js 20+ · MIT


Technology

Languages

TypeScript Python JavaScript Solidity

Application

Node.js NestJS React Astro Laravel

Infrastructure

PostgreSQL SQLite Docker AWS GitHub Actions


Principles

I generally prefer:

simple systems over unnecessary abstraction

boring infrastructure over complexity for its own sake

measurable behaviour over assumptions

good defaults over configuration everywhere

shipping over endlessly polishing the plan



prgofficial.me · LinkedIn · prg@zyfolks.com

Pinned Loading

  1. ai-footprintai-footprintPublic

    AI Footprint turns the activity your AI coding assistants already write to your own disk into analytics about how you actually work: what you bring to AI, which projects and technologies dominate, …

    TypeScript 1