Abhinav Akash

In 2011, Abhinav Akash enrolled in an engineering programme the way lakhs of Indian students do — because that's what you do after scoring well in science. There was no grand calling. No childhood dream of building bridges or writing algorithms. Just a sensible path laid out by sensible people.

But something strange happened in the lecture halls. While most students tuned out during Physics lectures or crammed derivations the night before exams, Abhinav found himself explaining those same derivations to his roommates at 2 AM. Not because they asked — but because he couldn't understand how they didn't understand. To him, Newton's laws weren't equations to memorise. They were stories about how the universe actually works. And stories should be easy to tell.

He started informally tutoring classmates. Then juniors. Then juniors of juniors. The feedback was always the same: "Yaar, tu samjhata bahut achha hai" — you explain really well. In India, that line is spoken casually. But for Abhinav, it planted a question that wouldn't leave: What if this is what I'm actually supposed to do?

He graduated with his B.Tech in 2015. He had the degree. He had the campus placement. What he didn't have was the desire to sit behind a screen writing code for a company whose products he didn't care about. But like most 23-year-olds in India, he told himself: "Let me try it. Maybe I'll grow into it."

For fifteen months, Abhinav worked in the IT industry. He was competent. He showed up on time, completed sprints, attended stand-ups, and received the kind of polite performance reviews that mean you're doing fine but nobody will remember your name in five years.

The work wasn't terrible. That's what made it harder. Terrible is easy to walk away from. Fine is the trap. The salary was comfortable. The office had AC and free coffee. His parents were proud. His relatives stopped asking "what are you doing?" — the most dangerous question in Indian family dynamics, because silence means approval.

But every evening, after logging off, Abhinav would find himself opening Physics textbooks. Not to study — he already knew the material. He would read a chapter and think: "How would I explain this to a student who's scared of this subject?" He started writing notes. Teaching notes. For students who didn't exist yet. He'd scribble alternative derivations, simpler explanations, real-world analogies — on the back of office printouts, on his phone during commutes, on napkins during lunch.

His colleagues noticed. One asked him why he was always reading "school books." He laughed it off. But the answer was eating him alive: Because the fifteen hours a day I give to this company feel like borrowed time. And the thirty minutes I spend explaining Gauss's Law to myself feel like my own.

In mid-2016, he quit.

Abhinav didn't start with a business plan. He started with a student. In December 2016, he began teaching online — one student at a time, through whatever tools were available. A free video call app. A shared screen. A digital whiteboard that lagged on slow connections. It was scrappy, unstructured, and deeply personal.

His first students were Class 11 and 12 board students — CBSE, ICSE — struggling with Physics. They came through word of mouth. A cousin's friend. A neighbour's daughter. A student who had failed a unit test and whose mother was "very worried." Abhinav would spend an hour explaining kinematics, then another thirty minutes just listening to the student's fears about the board exam. He didn't charge much. He didn't need to. He needed to teach.

Within weeks, something clicked that no IT sprint review had ever given him: the moment a student's face changes. Not a dramatic movie moment — more like a slow dawn. The student stops squinting. The shoulders drop. The pen starts moving on its own. And then they look up and say: "Sir, I think I get it now."

That moment. That specific, quiet, unremarkable moment — became the thing Abhinav chased for the next decade.

In December 2017, Abhinav joined Vedantu — one of India's fastest-growing online education platforms. It was an opportunity to reach thousands of students, to teach at a scale that solo online tutoring could never achieve. He was excited. The platform was polished, the technology was seamless, and the student numbers were exhilarating.

For a while, it felt like everything he wanted. Live classes with hundreds of students. Engagement tools. Analytics dashboards showing how many students were "active." He refined his delivery, learned to pace lessons for a mass audience, developed techniques to keep attention in a window where TikTok videos competed for the same eyeballs.

But slowly, a discomfort grew into an ache.

In a live class of 200 students, Abhinav could see the viewer count. He could see the chat scrolling. But he couldn't see the student in Patna who was crying because she'd heard this explanation three times and still didn't understand it. He couldn't see the boy in a small UP town whose internet kept disconnecting, who would watch the recording later but couldn't ask a doubt because the class was already over. He couldn't see the quiet student — the one who never types in the chat, never raises a virtual hand, never asks — who sits alone in their room pretending to understand because admitting confusion in front of 200 strangers feels worse than not knowing.

Then came the message that broke something open.

After his online stint, Abhinav moved to offline teaching at various coaching institutes in Delhi. If Vedantu had taught him about scale, Delhi taught him about grit. These weren't polished edtech classrooms with animated diagrams and real-time polls. These were physical rooms with blackboards, dusty fans, plastic chairs, and students who had taken three buses to get there.

Here, the doubts came differently. Not typed in a chat — but whispered during the break. A student would linger after class, pretending to pack his bag slowly, and when everyone else had left, he'd say: "Sir, I don't think I can do this. My father sold land so I could come to Delhi for coaching."

Abhinav heard versions of this story dozens of times. The student from Bihar whose family pooled money for his JEE coaching. The girl from a small town in UP whose parents defied relatives who said "why waste money on a daughter's engineering dream." The boy who worked part-time at a stationery shop to pay for his NEET prep material. These weren't abstract "aspirants" in an edtech database. They were children carrying the weight of entire families on their shoulders, sitting in a classroom hoping that Physics would be their way out.

It was in Delhi that Abhinav developed something that would later define Prime Spirit: the practice of error analysis. Not just marking answers wrong — but sitting with a student and tracing the mistake back to its origin. Was it a conceptual gap? A calculation error? Did the student misread the question? Were they panicking and second-guessing correct answers? Each error was a diagnostic clue, and Abhinav treated it like one.

He also saw the dark side of mass offline coaching. Batches of 80, 100, sometimes 150 students. Teachers who came, delivered a rehearsed lecture, and left — without knowing a single student's name. Doubt counters staffed by overwhelmed assistants who gave formula sheets instead of explanations. Students who scored 200/720 in mock tests and were told to "work harder" without anyone telling them what to work on.

The pattern was the same, online or offline: the system was designed for efficiency, not for learning.

While building his teaching career, Abhinav simultaneously pursued a Bachelor of Education (B.Ed) and a Post Graduate degree. This wasn't credential-collecting. It was a deliberate decision to understand the mechanics of how people learn — cognitive load theory, adolescent psychology, assessment design, differentiated instruction.

"I knew Physics," Abhinav says. "But knowing Physics and teaching Physics are completely different skills. I wanted to understand why a student can solve a textbook problem but freeze in an exam. Why a student can repeat a derivation word-for-word but can't apply the same logic to a new situation. B.Ed gave me the framework for those questions."

The post-graduate work deepened his subject expertise. It also exposed him to research on educational inequality — how students from different economic backgrounds process the same information differently, not because of intelligence, but because of the invisible load they carry. A student who's worried about their family's finances doesn't have the same cognitive bandwidth as a student who isn't. Teaching without acknowledging that reality isn't teaching. It's performance.

When the world moved online in 2020, Abhinav was uniquely prepared. He had already taught online since 2016. He already knew the tools. But now he carried something that most online teachers didn't: years of standing in physical classrooms, reading students' body language, noticing the boy in the third row who stops writing when the concept gets hard, seeing the girl who nods but whose eyes are confused.

He brought that offline instinct into his online teaching. He developed what he calls "diagnostic questioning" — instead of asking "does everyone understand?", which always gets a yes, he asks specific students specific questions designed to reveal exactly where their understanding breaks. He learned to detect confusion in the silence between questions, in the speed of a typed response, in the hesitation before a student unmutes.

He also continued his B.Ed and PG studies during this period, further refining his approach. The combination of live teaching experience across hundreds of students and formal pedagogical training created something rare: a teacher who could teach the subject, diagnose the student, and redesign the approach — all in real time.

Since 2016

By 2023, Abhinav had taught over 1,000 students. He had taught online and offline, at billion-dollar edtech platforms and in dusty Delhi coaching centres, for CBSE boards and for competitive entrance exams. He had seen every model of Indian education — and he had seen every model's failure point.

The failure point was always the same: somewhere between the teacher's intention and the student's experience, the human connection broke. Not because teachers didn't care. They did. But the structure didn't let care translate into action. A teacher who cares about 200 students equally ends up caring about none of them specifically. And specific care — the kind that tracks one student's error pattern, that adjusts the pace for one student's confusion, that notices one student hasn't submitted homework because something is wrong at home — that's the only kind of care that actually teaches.

Prime Spirit Mentors was founded with a radical structural decision: 5 students in the Elite Track. 10 students in the Advanced Track. No exceptions.

This wasn't a marketing gimmick. It was a physics constraint applied to education. Abhinav calculated how much time he needed per student per week: diagnostic sessions, doubt resolution, error analysis, mindset check-ins, personalised assignment review. The number came to roughly 3–4 hours per student per week. With 5 students, that's 15–20 hours of deeply personalised teaching. With 10, it's 30–40 hours. Beyond that, quality degrades. Not because the teacher gets tired — but because attention is finite, and dividing it further means nobody gets enough.

The name "Prime Spirit" comes from a simple belief: every student has a prime version of themselves — the version that's curious, confident, and capable. That spirit is already there. It doesn't need to be created. It needs to be uncovered. And uncovering it requires a teacher who has the time, the space, and the structural freedom to look.