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Brainheaters

Brainheaters is a (Ed-Tech) student-first learning platform built to support engineering students with exam preparation, concept clarity, and academic confidence.

 

The product serves students across multiple semesters, focusing on accessibility, clarity, and consistency in learning. I led the end-to-end design of the Brainheaters mobile app and its supporting website, shaping the product from early-stage decisions to a scaled platform used by tens of thousands of students.

Role: Founder & Product Designer

Platforms: Mobile App (Primary), Web (Supporting)

Timeline: 2020 – Present

Users: 87,000+ enrolled students

Team: Founder-led startup (Design, Engineering, Content)

Figma Designs

Figma Sites

v0 Dev

Claude

Slack

Wix Studios & Velo

The Problem

Engineering students—especially in Mumbai-based colleges—face a unique set of challenges: heavy academic load, long commute hours, inconsistent teaching quality, and limited access to structured guidance. Existing learning platforms were either too generic, overly complex, or misaligned with university-specific needs.

The core problem was not just content availability, but how students discover, consume, and consistently engage with learning material under real-life constraints. The product needed to work for students who often study on trains, between lectures, or late at night—on low attention and limited time and provide them all in one solution.

My Role & Scope

As the Founding Designer, I owned the complete user experience of the Brainheaters ecosystem. This included:

I was deeply involved across discovery, execution, and iteration phases, with design decisions directly impacting product adoption and scale.

What I learned from Research

Research & Inputs

Design decisions were driven by 300+ student conversations, continuous feedback loops, and live usage patterns. Given the early-stage nature of the product, research was continuous and scrappy rather than formal.

300+ direct user conversations and interviews.

Active user patterns and engagement data from live usage

Daily feedback via WhatsApp communities and in-app messages

Academic calendars, exam patterns, and syllabus structures

Design Exploration & Decision-Making

Skipped traditional lofi to move faster, iterating directly in high‑fidelity based on real user behavior and constraints. Due to fast-paced execution and limited resources, early exploration was done directly in high-fidelity designs rather than traditional low-fidelity wireframes. This allowed faster validation with real users.

Key design decisions included:

Designs were iterated rapidly based on observed behavior rather than assumptions, with multiple layout and flow adjustments made post-launch.

74,000+ Students

Scaled to 98,400+ enrolled students  organically

65% more Engagement

Improved engagement through simplified navigation and focused content discovery

70% Less Complaints

Reduced confusion and support queries by restructuring flows based on feedback

80% Increased Repeat Users

Enabled faster onboarding and repeat usage across semesters

Pre-Redesign State: Brainheaters Legacy Website

Before designing the Brainheaters app and new website, the platform existed as a basic, static website built using web builder. The primary goal at this stage was speed—making educational resources freely accessible to as many students as possible.

There was no formal UX or UI process involved. Pages were created directly using the web builder, with minimal structure, no defined user journeys, and limited visual hierarchy. Despite this, the platform gained strong early traction due to the relevance of its content.

#1 Onboarding flow:

This solves the biggest problem of shifting users from a FREE open source website to a systematic study app with signup & onboarding.

#2 Study Experience:

This solves the biggest problem of shifting users from a FREE open source website to a systematic study app with signup & onboarding.

Early Traction & Scaling Challenges

According to Google Analytics, the legacy website reached 25,000+ active users, validating strong demand and product–market fit. However, this growth exposed several limitations:

The website scaled to 25,000+ active users organically, but operational complexity and UX limitations made further growth unsustainable.

Challenges

At this point, it became clear that incremental fixes would not solve systemic issues. The platform needed a fundamental shift—from a static content website to a product-led, user-centric learning experience.

Brainheaters App Designs:

Designed a clear, predictable app experience focused on helping students instantly understand what to do next. The Brainheaters app experience focused on three core pillars: clarity, speed, and consistency.

Welcome to Brainheaters

We make engineering studies ease, simple and smart 😊

Get Started with Brainheaters

TM

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Since 2018-19

+ 25,000 Students

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Explain Nortons Theorem with example.

If a circuit has multiple independent sources, dependent sources, and resistors, then the response in an element can be easily found by replacing the entire network to the left of that element with a Norton’s equivalent circuit. Norton’s theorem is similar to Thevenin’s theorem.

 

It states that any two terminal linear network or circuit can be represented with an equivalent network or circuit, which consists of a current source in parallel with a resistor. It is known as Norton’s equivalent circuit. A linear circuit may contain independent sources, dependent sources and resistors.

 

If a circuit has multiple independent sources, dependent sources, and resistors, then the response in an element can be easily found by replacing the entire network to the left of that element with a Norton’s. The response in an element can be the voltage across that element.

 

Explain Nortons Theorem with example.

If a circuit has multiple independent sources, dependent sources, and resistors, then the response in an element can be easily found by replacing the entire network to the left of that element with a Norton’s equivalent circuit. Norton’s theorem is similar to Thevenin’s theorem.

 

It states that any two terminal linear network or circuit can be represented with an equivalent network or circuit, which consists of a current source in parallel with a resistor. It is known as Norton’s equivalent circuit. A linear circuit may contain independent sources, dependent sources and resistors.

 

If a circuit has multiple independent sources, dependent sources, and resistors, then the response in an element can be easily found by replacing the entire network to the left of that element with a Norton’s. The response in an element can be the voltage across that element.

Explain Nortons Theorem with example.

If a circuit has multiple independent sources, dependent sources, and resistors, then the response in an element can be easily found by replacing the entire network to the left of that element with a Norton’s equivalent circuit. Norton’s theorem is similar to Thevenin’s theorem.

 

It states that any two terminal linear network or circuit can be represented with an equivalent network or circuit, which consists of a current source in parallel with a resistor. It is known as Norton’s equivalent circuit. A linear circuit may contain independent sources, dependent sources and resistors.

 

If a circuit has multiple independent sources, dependent sources, and resistors, then the response in an element can be easily found by replacing the entire network to the left of that element with a Norton’s. The response in an element can be the voltage across that element.

 

Explain Nortons Theorem with example.

If a circuit has multiple independent sources, dependent sources, and resistors, then the response in an element can be easily found by replacing the entire network to the left of that element with a Norton’s equivalent circuit. Norton’s theorem is similar to Thevenin’s theorem.

 

It states that any two terminal linear network or circuit can be represented with an equivalent network or circuit, which consists of a current source in parallel with a resistor. It is known as Norton’s equivalent circuit. A linear circuit may contain independent sources, dependent sources and resistors.

 

If a circuit has multiple independent sources, dependent sources, and resistors, then the response in an element can be easily found by replacing the entire network to the left of that element with a Norton’s. The response in an element can be the voltage across that element.

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It follows the divide-and-conquer strategy by recursively partitioning the input into smaller sub-arrays, sorting them independently, and combining the results to obtain the...

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It follows the divide-and-conquer strategy by recursively partitioning the input into smaller sub-arrays, sorting them independently, and combining the results to obtain the...

Working mode of WFM

It follows the divide-and-conquer strategy by recursively partitioning the input into smaller sub-arrays, sorting them independently, and combining the results to obtain the...

Waterfall steps

It follows the divide-and-conquer strategy by recursively partitioning the input into smaller sub-arrays, sorting them independently, and combining the results to obtain the...

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What is exactly normalization process? Can someone explain in simple language? And what is the importance of this topic in exams?

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Validation & Outcomes

The product scaled organically to 98,400+ students, with improved engagement and reduced confusion through iterative UX improvements. The impact of design decisions was measured through real usage and growth:

The product evolved through multiple iterations, with design acting as a key driver of retention and trust.

“Brainheaters has always been more than a product to me — it has been something I built, nurtured, and grew alongside.

 

From a simple website to a platform serving 87,000+ students, I witnessed it evolve into a trusted name in the Indian EdTech space. Along the way, I didn’t just design interfaces — I learned how to build teams, collaborate deeply with developers, make hard product decisions, and grow something sustainably under real constraints.

 

Brainheaters will always feel personal to me — because it shaped not just a brand, but my identity as a product designer.”

Learnings & Reflections

Shipping early and designing for real‑world behavior led to better outcomes than over‑engineering ideal solutions.

Designing for real-world constraints is more valuable than designing for ideal scenarios.

Shipping early and iterating with real users led to better decisions than over-polished concepts.

Educational products require extreme clarity and empathy, not feature density.

Future Scope

The next phase of Brainheaters focuses on infrastructure scalability, intelligent assistance, and structured academic planning.

As the platform continues to scale, the next evolution of Brainheaters focuses on strengthening its technical foundation and deepening student support through intelligent systems.

Dedicated Web Platform with Centralized Infrastructure

Transitioning from tool-based architecture to a fully scalable web platform with a centralized database would allow Structured content management across semesters and subjects.

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Designed and built in Figma using Auto Layout, Figma Make, and Figma Sites — completed in one week.

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Brainheaters

Brainheaters is a (Ed-Tech) student-first learning platform built to support engineering students with exam preparation, concept clarity, and academic confidence.

 

The product serves students across multiple semesters, focusing on accessibility, clarity, and consistency in learning. I led the end-to-end design of the Brainheaters mobile app and its supporting website, shaping the product from early-stage decisions to a scaled platform used by tens of thousands of students.

Role: Founder & Product Designer

Platforms: Mobile App (Primary), Web (Supporting)

Timeline: 2020 – Present

Users: 87,000+ enrolled students

Team: Founder-led startup (Design, Engineering, Content)

Figma Designs

Figma Sites

v0 Dev

Claude

Slack

Wix Studios & Velo

The Problem

Engineering students—especially in Mumbai-based colleges—face a unique set of challenges: heavy academic load, long commute hours, inconsistent teaching quality, and limited access to structured guidance. Existing learning platforms were either too generic, overly complex, or misaligned with university-specific needs.

The core problem was not just content availability, but how students discover, consume, and consistently engage with learning material under real-life constraints. The product needed to work for students who often study on trains, between lectures, or late at night—on low attention and limited time and provide them all in one solution.

My Role & Scope

As the Founding Designer, I owned the complete user experience of the Brainheaters ecosystem. This included:

Defining the product UX vision from scratch

Designing the mobile app and responsive website

Establishing design patterns and UI standards

Working closely with the engineers on feature prioritization

Iterating post-launch based on real user feedback.

I was deeply involved across discovery, execution, and iteration phases, with design decisions directly impacting product adoption and scale.

What I learned from Research

Wanted clarity over completeness

Clarity

Preferred short, structured explanations

Structure

Valued predictability and consistency in the interface

Consistency & Value

Needed quick access to “what matters for exams”

Quick Access

Research & Inputs

Design decisions were driven by 300+ student conversations, continuous feedback loops, and live usage patterns. Given the early-stage nature of the product, research was continuous and scrappy rather than formal.

300+ direct user conversations and interviews.

Active user patterns and engagement data from live usage

Daily feedback via WhatsApp communities and in-app messages

Academic calendars, exam patterns, and syllabus structures

Design Exploration & Decision-Making

Skipped traditional lofi to move faster, iterating directly in high‑fidelity based on real user behavior and constraints. Due to fast-paced execution and limited resources, early exploration was done directly in high-fidelity designs rather than traditional low-fidelity wireframes. This allowed faster validation with real users.

Key design decisions included:

Designs were iterated rapidly based on observed behavior rather than assumptions, with multiple layout and flow adjustments made post-launch.

74,000+ Students

Scaled to 98,400+ enrolled students  organically

65% more Engagement

Improved engagement through simplified navigation and focused content discovery

70% Less Complaints

Reduced confusion and support queries by restructuring flows based on feedback

80% Increased Repeat Users

Enabled faster onboarding and repeat usage across semesters

Pre-Redesign State: Brainheaters Legacy Website

Before designing the Brainheaters app and new website, the platform existed as a basic, static website built using web builder. The primary goal at this stage was speed—making educational resources freely accessible to as many students as possible.

There was no formal UX or UI process involved. Pages were created directly using the web builder, with minimal structure, no defined user journeys, and limited visual hierarchy. Despite this, the platform gained strong early traction due to the relevance of its content.

#1 Onboarding flow:

This solves the biggest problem of shifting users from a FREE open source website to a systematic study app with signup & onboarding.

#2 Study Experience:

This solves the biggest problem of shifting users from a FREE open source website to a systematic study app with signup & onboarding.

Early Traction & Scaling Challenges

According to Google Analytics, the legacy website reached 25,000+ active users, validating strong demand and product–market fit. However, this growth exposed several limitations:

The website scaled to 25,000+ active users organically, but operational complexity and UX limitations made further growth unsustainable.

Challenges

At this point, it became clear that incremental fixes would not solve systemic issues. The platform needed a fundamental shift—from a static content website to a product-led, user-centric learning experience.

Brainheaters App Designs:

Designed a clear, predictable app experience focused on helping students instantly understand what to do next. The Brainheaters app experience focused on three core pillars: clarity, speed, and consistency.

Welcome to Brainheaters

We make engineering studies ease, simple and smart 😊

Get Started with Brainheaters

TM

Already have an Account? - Login

Since 2018-19

+ 25,000 Students

Select your University

Choose your university appropriately for relatable study materials.

Can’t find University?

If you cannot find your university above, Vote now!

Mumbai University

Gujarat Technological

University

Select your Course

Choose your course appropriately for relatable study materials.

Can’t find course?

If you cannot find your course above, Vote now!

Diploma, B.Sc, Pharmacy, Medical, Arts, Commerce.

University affiliated Engineering course for 4 years

Bachelor of Engineering - B.E

Other Courses

Choose Account type

Do you need study materials for just few subjects or full engineering package?

Limited Study materials - Question Papers and Basic Library Access.

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Third Year Computers

Bachelor of Engineering - B.E

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Add Subjects in your StudyRoom as you need

₹99/subject

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Add subject as you need

starts at

Data Structures

Subjects: TE Computers

Selection

Database Management System

₹129

₹199

Software Engineering

₹99

Analysis of Algorithms

Machine Learning

SPCC

Computer Graphics

Data Modifications - II

Proceed to Payment & Activate

Automatic Discounts/Coupon will be applied on checkout

Total Subjects:

₹427

03

Analyzed Papers + Solutions + Notes + VIVA + Qbanks + Plans

Analyzed Papers + Notes + VIVA + Qbanks + Plans

Analyzed Papers + Solution + Notes + VIVA + Qbanks

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Total Subjects available in Studyroom, Subjects may increases every week/month

Data Structures

Subjects: Computers Sem 5

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Database Management System

Software Engineering

Analysis of Algorithms

Machine Learning

SPCC

DLDA

Computer Graphics

Data Modifications - II

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Analyzed Papers + Solutions + Notes + VIVA + Qbanks + Plans

Analyzed Papers + Solutions + Notes + Qbanks + Plans

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Analyzed Papers + Notes + Qbanks + Plans

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Explain Nortons Theorem with example.

If a circuit has multiple independent sources, dependent sources, and resistors, then the response in an element can be easily found by replacing the entire network to the left of that element with a Norton’s equivalent circuit. Norton’s theorem is similar to Thevenin’s theorem.

 

It states that any two terminal linear network or circuit can be represented with an equivalent network or circuit, which consists of a current source in parallel with a resistor. It is known as Norton’s equivalent circuit. A linear circuit may contain independent sources, dependent sources and resistors.

 

If a circuit has multiple independent sources, dependent sources, and resistors, then the response in an element can be easily found by replacing the entire network to the left of that element with a Norton’s. The response in an element can be the voltage across that element.

 

Explain Nortons Theorem with example.

If a circuit has multiple independent sources, dependent sources, and resistors, then the response in an element can be easily found by replacing the entire network to the left of that element with a Norton’s equivalent circuit. Norton’s theorem is similar to Thevenin’s theorem.

 

It states that any two terminal linear network or circuit can be represented with an equivalent network or circuit, which consists of a current source in parallel with a resistor. It is known as Norton’s equivalent circuit. A linear circuit may contain independent sources, dependent sources and resistors.

 

If a circuit has multiple independent sources, dependent sources, and resistors, then the response in an element can be easily found by replacing the entire network to the left of that element with a Norton’s. The response in an element can be the voltage across that element.

Explain Nortons Theorem with example.

If a circuit has multiple independent sources, dependent sources, and resistors, then the response in an element can be easily found by replacing the entire network to the left of that element with a Norton’s equivalent circuit. Norton’s theorem is similar to Thevenin’s theorem.

 

It states that any two terminal linear network or circuit can be represented with an equivalent network or circuit, which consists of a current source in parallel with a resistor. It is known as Norton’s equivalent circuit. A linear circuit may contain independent sources, dependent sources and resistors.

 

If a circuit has multiple independent sources, dependent sources, and resistors, then the response in an element can be easily found by replacing the entire network to the left of that element with a Norton’s. The response in an element can be the voltage across that element.

 

Explain Nortons Theorem with example.

If a circuit has multiple independent sources, dependent sources, and resistors, then the response in an element can be easily found by replacing the entire network to the left of that element with a Norton’s equivalent circuit. Norton’s theorem is similar to Thevenin’s theorem.

 

It states that any two terminal linear network or circuit can be represented with an equivalent network or circuit, which consists of a current source in parallel with a resistor. It is known as Norton’s equivalent circuit. A linear circuit may contain independent sources, dependent sources and resistors.

 

If a circuit has multiple independent sources, dependent sources, and resistors, then the response in an element can be easily found by replacing the entire network to the left of that element with a Norton’s. The response in an element can be the voltage across that element.

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It follows the divide-and-conquer strategy by recursively partitioning the input into smaller sub-arrays, sorting them independently, and combining the results to obtain the...

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It follows the divide-and-conquer strategy by recursively partitioning the input into smaller sub-arrays, sorting them independently, and combining the results to obtain the...

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It follows the divide-and-conquer strategy by recursively partitioning the input into smaller sub-arrays, sorting them independently, and combining the results to obtain the...

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What is exactly normalization process? Can someone explain in simple language? And what is the importance of this topic in exams?

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It follows the divide-and-conquer strategy by recursively partitioning the input into smaller sub-arrays, sorting them independently, and combining the results to obtain the input into smaller sub-arrays, sorting them.

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The product scaled organically to 98,400+ students, with improved engagement and reduced confusion through iterative UX improvements. The impact of design decisions was measured through real usage and growth:

The product evolved through multiple iterations, with design acting as a key driver of retention and trust.

“Brainheaters has always been more than a product to me — it has been something I built, nurtured, and grew alongside.

 

From a simple website to a platform serving 87,000+ students, I witnessed it evolve into a trusted name in the Indian EdTech space. Along the way, I didn’t just design interfaces — I learned how to build teams, collaborate deeply with developers, make hard product decisions, and grow something sustainably under real constraints.

 

Brainheaters will always feel personal to me — because it shaped not just a brand, but my identity as a product designer.”

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Shipping early and designing for real‑world behavior led to better outcomes than over‑engineering ideal solutions.

Designing for real-world constraints is more valuable than designing for ideal scenarios.

Shipping early and iterating with real users led to better decisions than over-polished concepts.

Educational products require extreme clarity and empathy, not feature density.

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The next phase of Brainheaters focuses on infrastructure scalability, intelligent assistance, and structured academic planning.

As the platform continues to scale, the next evolution of Brainheaters focuses on strengthening its technical foundation and deepening student support through intelligent systems.

Dedicated Web Platform with Centralized Infrastructure

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