Stored in data/cursor_usage.db (SQLite). Hourly refresh via workflow. Project allocation in by_project. Requires CURSOR_API_KEY (Enterprise).
Operational details and troubleshooting: data/README.md.
🧮 Embedded Calculator Logic (on GitHub page)
function conversionRate(clicksBoth, pageViewsTotal) {
if (!pageViewsTotal) return 0;
return (clicksBoth / pageViewsTotal) * 100;
}
function segmentedProfileRates(clicksHuman, clicksAI, realHumanViews, aiViews) {
return {
humanCR: realHumanViews ? (clicksHuman / realHumanViews) * 100 : 0,
aiCR: aiViews ? (clicksAI / aiViews) * 100 : 0
};
}function portfolioRate(portfolioClicksBoth, portfolioViewsTotal) {
if (!portfolioViewsTotal) return 0;
return (portfolioClicksBoth / portfolioViewsTotal) * 100;
}
function segmentedPortfolioRates(portfolioClicksHuman, portfolioClicksAI, portfolioRealHumanViews, portfolioAIViews) {
return {
humanCR: portfolioRealHumanViews ? (portfolioClicksHuman / portfolioRealHumanViews) * 100 : 0,
aiCR: portfolioAIViews ? (portfolioClicksAI / portfolioAIViews) * 100 : 0
};
}function siteRates(siteClicksBoth, siteViewsTotal, siteClicksHuman, siteRealHumanViews, siteClicksAI, siteAIViews) {
return {
totalCR: siteViewsTotal ? (siteClicksBoth / siteViewsTotal) * 100 : 0,
humanCR: siteRealHumanViews ? (siteClicksHuman / siteRealHumanViews) * 100 : 0,
aiCR: siteAIViews ? (siteClicksAI / siteAIViews) * 100 : 0
};
}Data key storage is documented below in Tracker Storage Key Maps.
🧱 Tracker Storage Key Maps
Saved at: https://abacus.jasoncameron.dev/get/makaminski_profile_interactions_v2/<key>
page_views_total
page_views_human
page_views_ai
real_human_page_viewsSaved at: https://abacus.jasoncameron.dev/get/makaminski_profile_interactions_v2/<key>
clicks_human
clicks_ai
clicks_bothSaved at: https://abacus.jasoncameron.dev/get/makaminski_site_views_v1/<key>
portfolio_views_total
portfolio_views_human
portfolio_views_ai
portfolio_real_human_viewsSaved at: https://abacus.jasoncameron.dev/get/makaminski_site_views_v1/<key>
portfolio_clicks_human
portfolio_clicks_ai
portfolio_clicks_bothsite_lace_luxx_com_views_total
site_lace_luxx_com_views_human
site_lace_luxx_com_views_ai
site_lace_luxx_com_real_human_views
site_lace_luxx_com_clicks_human
site_lace_luxx_com_clicks_ai
site_lace_luxx_com_clicks_bothsite_modular_equity_com_views_total
site_modular_equity_com_views_human
site_modular_equity_com_views_ai
site_modular_equity_com_real_human_views
site_modular_equity_com_clicks_human
site_modular_equity_com_clicks_ai
site_modular_equity_com_clicks_bothsite_michael_kaminski_io_views_total
site_michael_kaminski_io_views_human
site_michael_kaminski_io_views_ai
site_michael_kaminski_io_real_human_views
site_michael_kaminski_io_clicks_human
site_michael_kaminski_io_clicks_ai
site_michael_kaminski_io_clicks_bothclass Profile:
def __init__(self):
self.name = "MAKaminski"
self.role = "Technology Executive & Product/Engineering Leader"
self.passions = ["Fintech", "Product Strategy", "Data & Analytics", "Automation"]
self.current_focus = "Building data-driven products and automation systems"
self.favorite_ide = "VS Code + AI tooling"
self.background = {
"location": "Atlanta, GA",
"leadership": ["Technology Strategy", "Product & Engineering Execution", "Finance + Analytics"],
"focus_areas": ["Fintech", "Automation", "Data Platforms", "Applied AI"]
}
def say_hi(self):
print("Thanks for dropping by! Let's build something amazing together! 🚀")
print(f"Coding with {self.favorite_ide} ✨")
me = Profile()
me.say_hi()🔭 Currently working on: Fintech, analytics, and automation projects
🌱 Learning: Applied AI patterns for business and product systems
💡 Ask me about: Product strategy, engineering execution, data platforms, and automation
⚡ Fun fact: I can speak fluent SQL to databases and Python to computers
🎵 Music: Open Spotify profile
Auto-refreshed every 10 minutes via GitHub Actions. Private contribution signals included when GitHub visibility/API permits.
📈 Private-Aware Detailed Stats & Graphs
- Clicks: tracked in the
Interaction TrackerandWebsite Views Trackersections above. - Lines of Code (relative): represented by language/repository distribution cards.
- Commits & Git activity: represented by all-commit stats, streaks, and contribution graph.
- Private contributions: surfaced where allowed by GitHub visibility and profile settings.
|
This metric board is embedded directly on GitHub via live badges and calculator code blocks. (No separate subpage required for core tracking data.) |
|
|
Track and compare views/clicks across
|
|
| Service | Admin Link |
|---|---|
| Railway | Open Railway Dashboard |
| Vercel | Open Vercel Dashboard |
| Supabase | Open Supabase Dashboard |
| GitHub | Open GitHub Dashboard |
| Polygon | Open Polygon Explorer |
| All Services | Open Services Hub (GitHub) |
| Repository | Visibility | Description |
|---|---|---|
alpha-gen-trading |
Public | Real-time trading automation system with VWAP/MA9 crossover strategy for 0DTE QQQ options. |
real-estate-investment-analysis |
Public | Real estate investment analysis with cash-on-cash, appreciation, tax savings, and principal paydown metrics. |
harness-engineering-alpha-kite |
Public | Symphony Python service orchestrating coding agents from Linear issue workflows. |
k-alpha |
Public | Trading application. |
movie_scene_battle_analyzer |
Public | Description not set on GitHub. |
alpha-kite-max |
Public | Description not set on GitHub. |
rentEngine |
Public | Description not set on GitHub. |
depot-mcp |
Public | Description not set on GitHub. |
Private/internal repositories can be listed in the same format when metadata is approved for public display. Aggregate private contribution signal is represented in the analytics section above.
| Domain | Focus Areas |
|---|---|
| Leadership & Strategy | Technology roadmap, product prioritization, execution management |
| Product & Engineering | Full-stack delivery, system design, platform operations |
| Data & Automation | Analytics pipelines, reporting workflows, applied AI |
| Fintech & Business Systems | Trading tooling, investment analysis, decision-support systems |
| Phase | Focus | Tools |
|---|---|---|
| 🎯 Planning | Requirements & Architecture | Miro, Figma, Notion |
| 🚀 Development | Clean Code & Best Practices | Python, TypeScript, Git, Docker |
| 🧪 Testing | Quality Assurance | Jest, PyTest, XCTest |
| 📊 Analytics | Data-Driven Decisions | ML/AI, A/B Testing |
| 🔄 Optimization | Performance & Scalability | Profiling, Monitoring |
Project and impact highlights are summarized above under Featured Projects & Portfolio.



