ChainScope
An agent that maps the energy technology value chain, explains how each business in it makes money, and sizes up competitors at every stage.
I'm Khanjan, a Cornell Tech MBA student working to solve the power grid's toughest problems.
At C1, I took ownership of the data behind every sales decision. I rebuilt the pipelines from SQL Server, Xactly, our CRM and QlikView into one master model, so Finance, Marketing, Sales and Operations all worked from the same numbers. That model is also what surfaced a hidden risk: 10% of customers drove 87% of recurring revenue.
Spent four months at Khavda, India, the world's largest renewable energy park, shadowing teams across solar, wind, battery storage and transmission to see how they run as one system.
Data centers, electric cars and electric heating are adding demand faster than new power plants and power lines can be built. The strain shows up in a few peak hours each day. I'm working on easing it with virtual power plants: home batteries, car chargers and smart devices that shift their power use together when the grid needs it most.
For 12 years I played tennis at the national level. You don't win at that level by hitting harder. You win by studying the other player's habits and adjusting before the score shows it.
I've used that habit everywhere since. At C1, it's how I noticed that a small group of customers was holding up most of the revenue. In the desert at Khavda, it meant learning how clean power is actually made before it ever reaches the grid.
Now I'm pointing it at the grid. Its hardest problem is timing, a few hours each day when everyone needs power at once.
I came to the US from India and studied Management Information Systems at San Jose State, graduating as a Dean's Scholar. It's where I learned how businesses actually run on their data.
At C1, I owned the company's Power BI setup end to end, from how data came in to what leaders saw each week.
I briefed the C-suite, vice presidents and sales directors every week, and my recommendations on what to stop selling and how reps log deals were adopted.
Before Cornell Tech, I spent four months at Khavda, the world's largest renewable energy park. It's rising out of the salt desert of Kutch in western India, planned at 30 gigawatts of solar and wind across an area about five times the size of Paris.
I wanted to learn renewable power where it's actually built, not from reports. On site I saw what it takes to turn open desert into a working power system, from the panels and batteries to the lines that carry the power out.
At Cornell Tech I'm working toward a company through the Startup Studio path, and I'm an associate at Big Red Ventures, Cornell's student-run venture fund.
The problem I keep coming back to is on the right: a few hours a day when power costs the most and the grid is under the most strain.
Illustrative shape. Winter days usually peak twice, as people wake up and again when they get home.
Energy tools, products, and work for real businesses.
An agent that maps the energy technology value chain, explains how each business in it makes money, and sizes up competitors at every stage.
An investment case for a solar project that ties expected power output to projected cash flows, to test whether the capital ask holds up.
Built for Agent Studio. It starts from the bottleneck and works outward to find where energy technology is actually stuck.
A tool that warns New York City households about tomorrow's grid peak and points them to programs that pay them to shift their usage.
A high-end furniture showroom with big-ticket sales and long buying cycles. I pulled scattered sales records into one model and built dashboards that follow every lead to a closed sale, show which clients and pieces drive revenue, and match inventory to what's selling.
Gave the owners their first full view of the business: one sales database feeding dashboards on daily revenue, top and slow-selling items, and stock levels, reviewed on a regular schedule.
Scan a code at the table and split the bill with friends. A working demo, and the project for my user research class.
My undergraduate capstone. Southwest's edge comes from how it runs, with one type of plane and fast turnarounds, more than from low prices.
The things I love outside work come down to the same thing that makes the grid hard.
I play Afro House and deep melodic techno. A good mix comes down to bringing the next track in at exactly the right beat.
Twelve years at the national level. Timing beats power almost every time. I still play, and these days I compete in pickleball too.
I invest across countries in stocks, crypto and physical assets. Picking the right asset is half of it. Knowing when to act is the other half.
Energy, data, early-stage startups, or a good conversation about how things work under the surface.