Nineteen, and already three years deep into building. I live where finance, design and AI overlap: modelling markets in the morning, shipping interfaces by night, and trading my own book in between.
Bhavya Singh, Bengaluru, India
01The story
Five chapters,one direction.
Leadership, discipline, obsession and a lot of shipping, all converging on finance that runs itself.
Origin01
01The beginning
Curiosity before credentials
Before there was a plan, there were questions. Taking things apart, rebuilding them badly, then rebuilding them better. That loop of try, break, fix, ship became the only method I have ever really trusted.
The builder's instinct arrived long before the résumé did.
02School
Deputy Head Girl to 2,000 people
I ran point for a student body of over two thousand. It taught me the unglamorous half of ambition: logistics, follow-through, and speaking clearly when a room is waiting on you to decide something.
Ownership at scale, years before it appeared on a job description.
03First positions
The year the numbers got personal
Reading about markets is theory. Putting your own money into one is not. Opening a real book turned valuation from a subject into a habit, and taught me faster than any course that being right and being early are different things.
Conviction tested with real capital, not a paper portfolio.
04Hackathons
Top 8 out of 600 teams
Hackathons are the closest thing to a startup compressed into 36 hours. Scope it, build it, demo it, defend it. One of those sprints put us in the top 8 of 600 teams, and taught me more than a semester.
Judgement under pressure, with a working demo at the end of it.
05Today
Building toward the AI CFO
Today it converges. Agents that clear engineering backlogs, simulations that price risk properly, interfaces that make all of it legible, all pointed at one thesis: every small business should have CFO-grade intelligence.
One direction, many tools, no wasted motion.
Origin01
Curiosity before credentials
Before there was a plan, there were questions. Taking things apart, rebuilding them badly, then rebuilding them better. That loop of try, break, fix, ship became the only method I have ever really trusted.
The builder's instinct arrived long before the résumé did.
Leadership02
Deputy Head Girl to 2,000 people
I ran point for a student body of over two thousand. It taught me the unglamorous half of ambition: logistics, follow-through, and speaking clearly when a room is waiting on you to decide something.
Ownership at scale, years before it appeared on a job description.
Markets03
The year the numbers got personal
Reading about markets is theory. Putting your own money into one is not. Opening a real book turned valuation from a subject into a habit, and taught me faster than any course that being right and being early are different things.
Conviction tested with real capital, not a paper portfolio.
Proof04
Top 8 out of 600 teams
Hackathons are the closest thing to a startup compressed into 36 hours. Scope it, build it, demo it, defend it. One of those sprints put us in the top 8 of 600 teams, and taught me more than a semester.
Judgement under pressure, with a working demo at the end of it.
Now05
Building toward the AI CFO
Today it converges. Agents that clear engineering backlogs, simulations that price risk properly, interfaces that make all of it legible, all pointed at one thesis: every small business should have CFO-grade intelligence.
One direction, many tools, no wasted motion.
0
Years old
Three years of building already behind me
0+
People led
Deputy Head Girl, school student body
Top 0 / 600
Hackathon finish
Shipped and defended under deadline
0
Projects in flight
Across AI, quant finance and product
02Selected work
Things Iactually shipped.
Six projects across AI, quantitative finance and product. Open any row to read how it was built.
The AI investment committee
The problem
Every solo angel and micro-VC in India runs diligence the same way: a thirty-second deck skim, a gut call, and regret. The associate layer that would produce a real memo costs more than a fund that size can carry.
What I built
A multi-agent system that reads a pitch deck and convenes an investment committee in software. Market, moat, unit economics and founder risk are each argued by a separate agent, then reconciled into the memo a partner would actually read.
Why it matters
Collapses deck → associate → memo → meeting into sixty seconds. ₹2,500 a memo, ₹50k a month for a syndicate. Founders use it to run diligence on themselves before they raise.
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03The craft
Four disciplines,one operator.
Hiring four specialists is expensive. Hiring one person who can hold all four in their head is faster.
011 / 4
Finance & Markets
Valuation is my first language. DCF models, Monte Carlo risk sweeps, and a live trading book that keeps the theory honest.
DCF & intrinsic valuation
Monte Carlo risk modelling
Equity research with faculty mentorship
Active personal trading
022 / 4
Design & Interface
I design the way I model: structure first, then feeling. Editorial layouts, real typographic hierarchy, motion that means something.
Brand & identity systems
Product UI / UX in Figma
Design systems & tokens
Motion and scroll direction
033 / 4
AI & Vibe Coding
I build with AI as a collaborator, not a crutch. Agents, automations and full products, from blank repo to deployed in days.
Autonomous agents & workflows
React / TypeScript front-ends
Rapid prototype to production
Automation for real workflows
044 / 4
Marketing & Sales
A beautiful product nobody hears about is a hobby. Positioning, funnels and content that turn attention into revenue.
Positioning & brand strategy
Content engines that compound
Funnel design & conversion
Direct sales and outreach
Drag
04Proof of work
Ambition is cheap.Receipts are not.
Leadership
2,000+
Deputy Head Girl
Represented and coordinated a student body of over two thousand. The first real lesson in operating at scale under public scrutiny.
Research
Faculty-led
Equity research
Working directly with a professor on valuation and risk: DCF models with defensible assumptions, sensitivity sweeps, and the discipline of having the work checked line by line.
Build
Top 8 / 600
Hackathon finish
Shipped a working product under a hard deadline against six hundred teams, then defended the decisions behind it in front of judges.
Markets
Live book
Active trading
Real capital, real positions, real feedback. Nothing teaches risk management faster than having your own money in the trade.
Questions
Shortanswers.
01
Who is Bhavya Singh?
Bhavya Singh is a 19-year-old finance-minded builder, designer and vibe coder based in Bengaluru, India. Bhavya works where finance, design and AI meet, and has spent three years building: valuation models, AI agents, brand systems and products shipped end to end.
02
What is Bhavya's Ventures?
Bhavya's Ventures (bhavyasventures.com) is the home of Bhavya Singh's own projects. The flagship is Litmus, an AI investment committee. Alongside it: Sensai, an algorithmic trading workspace for Indian markets; a GitHub issue-solving agent; a Monte Carlo simulation workspace; DCF research with faculty mentorship; and the long-term thesis, an AI CFO for small businesses.
03
What does Bhavya work on?
Four disciplines. Finance and markets: DCF valuation, Monte Carlo risk modelling, equity research and active trading. Design: brand identity, product UI/UX and design systems. AI and vibe coding: agents, automations and React/TypeScript products. Marketing and sales: positioning, content and funnels.
04
What is Litmus?
Litmus is an AI investment committee built by Bhavya Singh. It reads a pitch deck, has separate AI agents argue market, moat, unit economics and founder risk, and reconciles the arguments into the memo a partner would actually read, in about sixty seconds. Pricing: ₹2,500 a memo, or ₹50k a month for a syndicate.
05
How do I work with Bhavya?
Bhavya takes on websites, brand identity, AI automations and agents, financial models and research, and founding-team conversations. Send a short brief through the form on this page or email bhavya.gallan@gmail.com. Replies usually come within a day.
06
What does a project cost?
Budgets start under ₹25k, with ranges of ₹25k–₹75k, ₹75k–₹2L and ₹2L+, and equity or flexible arrangements for the right project. Honest ranges get honest scopes, and nothing is binding until both sides agree.
05Contact
Let's buildsomething worthtalking about.
Websites, brand systems, AI automations, financial models, or a founding seat on something ambitious. If the idea is serious, I want to hear it.