BHAVYASINGH

Bengaluru, India

12° 58' 18" N

77° 35' 40" E

Local time --:--:-- IST

Focus

Finance · Design · AI

Age

19

Scroll
00The thesis

Mostpeoplepickalane.Ipickedtheintersectionoffinance,designandAI,becausethatiswheretheinterestingproblemsrefusetositstill.Imodelthenumbers,Idrawtheinterface,andIshipthething.Noteventually.Thisweek.

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.

Early building journey
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.

School leadership
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.

Learning the markets
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.

Hackathon sprint
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.

Current work
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.

Multi-agent LLMPDF parsingReact
Litmus AI investment committee
Start something like this
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.

Bengaluru, India

12° 58' 18" N

77° 35' 40" E

Local time --:--:-- IST

01 / You

First things first. What should I call you?

01 / 06