Yash at Kamo River, Kyoto

📍 kamo river, kyoto (current fav place on earth)

Yash Vijaykar

Hola I am yash (rhymes with brush 🪥/ 🖌️)
I'm a builder at the intersection of AI, healthcare, and early-stage startups.

i was part of the founding team of an AI healthcare consumer startup - it shut down, since then i have been just experimenting with life (cause why not 🤷) taking bets on myself (its daunting and you'd never regret betting on yourself)

  • ended up learning a lot about myself
  • was diagnosed with clinical depression, solved for it
  • started living inside out (driving things from within (antifragile), than listening to external forces, people around me telling what i "should" / "shouldn't" do (fragile))
  • rewarded myself a trip to Japan last dec - it was AWESOME!

(I can say with certain confidence now, I've gotten pretty good with navigating uncertainty)

on the work side, been doing something unusual: identifying founders worth betting on (scouting like a vc), building unsolicited cases for how I'd create leverage for them, and reaching out cold, before anyone asks. check out the portfolio.


what now
  1. changing current environment (moving from Bengaluru -> North America) - realised current environment is suboptimal (zero sum games, low trust, low opportunity), want to be around high conc of like minded + like hearted people playing positive sum players and long term games 🫶
  2. i am excited to be a part of a startup asap as possible (small team energy, solve meaningful problems is what I'm craving)

vibe fit? Let's chat! pls email with [subject]: to love icecream 🍦, is to be hooman and we'll take it from there

(PS: I read every everything)

I show up before I'm hired

I think like a founder. I build the case before anyone asks.

Identifying founders worth betting on (scouting like a vc) to work with, building cases for how I'd create leverage for them, and reaching out cold, before anyone asks.


No brief. No job post. I did the work because the problem was interesting and the founder seemed worth betting on.
The thesis: understand their north star, map the top bottlenecks, present options.
I've also walked away — 9 times, including an early SpaceX investor after a 4-hr call when integrity red flags surfaced.

9 offers declined post-Nintee ~$120k offer declined 50+ founders evaluated globally
01 Kintsugi AI mental health · SF

AI mental health screening · Grace Chang · Series A, post-PMF · San Francisco

What I did
  • Cold emailed Grace twice — first email high signal, no reply. Followed up a week later with a better hook → got a reply and a meeting
  • Built Kintsugi's business case from first principles before the call
    • Mapped the core inefficiency: manual, human-dependent screening
    • Quantified: insurers lose ~$1.26B/yr from missed depression in chronic-disease members
    • Fermi estimate: flag 1% of calls + convert 20% to care → ~$240M saved → ROI of 120×
  • Mapped smart outreach, automated ops workflows (BD meeting summaries → Slack + HubSpot)
  • Got an assignment from Albert (COO): build a CXO pitch deck — shipped with full autonomy, went beyond the brief
  • Shipped a Loom walking through the work before the next call
What happened
"First time I've watched a video at 1x, Yash!" — Grace Chang
Grace Chang's reply to the Loom
  • Got the offer (~$120k/yr) and declined
  • Wanted apprenticeship access to a founder I admire, not a contract. Long-term games with long-term people. Walked away respectfully.
02 78Health Remote patient monitoring · CA + BLR

Remote patient monitoring · Naren Nachiappan, 4× founder · Pre-PMF · California + Bengaluru

What I did
  • Identified the core constraint: clinician time
    • One physician capped at ~20 patients/day
    • 78Health's model unlocks 1,500+ patients per physician
  • Built the revenue math: $6M run rate = 0.2 take rate × $250k/physician × 120 physicians
  • Mapped the full funnel — physician signing to first live patient. Flagged missing denominators: active patients per physician, CAC, retention speed, activation rate
  • Ran a pre-mortem on the fundraise and two-market risk (US + India bandwidth split)
  • Asked the hard questions: EMR integration risk, platform risk from Epic/Cerner, why two markets simultaneously
What happened
"Apart from the product management basics, possess rare qualities — can navigate uncertainty. Possesses mental strength and resilience." — Naren Nachiappan
  • Got to offer discussion — equity, comp, onboarding — before fundraise timing created uncertainty
03 HealthyGamer GG Mental health platform · TX

Mental health platform · Dr. K · Texas

What I did
  • Built two distinct ICPs with job-to-be-done mapping
    • Guides ICP: 18–32, male-skewed, gamer identity, self-diagnosed ADHD/anxiety. Trigger: "I've watched 40 Dr. K videos, time to go deeper." Value prop: $120 vs $200/therapy session
    • Membership ICP: 18–35, long-term Dr. K follower. Wants ongoing growth, not a one-off fix. $10–15/mo frictionless
  • Mapped both funnels end-to-end
    • Guides CVR at 0.5–1% of 1.5M monthly site visitors
    • Membership: 6–12K active subscribers, $72–144K MRR, 8–15% monthly churn
  • Identified revenue bottlenecks and built the 6-month path to 50% growth: $1M → $1.5M
What happened
  • Asked hard questions in the interview because I genuinely cared what moves the needle — got a generic rejection with zero context
  • Flagged it directly to Dr. K: "For a company whose mission is built on trust, care, and honest conversation — these small interactions carry disproportionate weight." Said my part. Moved on.
04 Nabeel Qureshi Stealth healthcare · NYC

Stealth healthcare startup · Ex-Palantir · NYC

What I did
  • Read his blogs. Watched his podcast. Played Factorio. Then cold emailed with a personalised video — mission-aligned, not credential-matching
  • Deep research: his writing, podcast appearances, publicly shared frameworks
  • Ask was deliberate: start with a tiny problem, earn the rest
What happened
"I thought you did a good job." — Nabeel Qureshi
Nabeel's reply
  • Nabeel replied, watched the video, engaged genuinely
  • Stalled on visa. Not merit.
05 Nikhil Kamath WTFund / Zerodha · BLR

WTFund / Zerodha · Bengaluru

What I did
  • Went deep into NK's world — podcasts, investment thesis, WTFund cohort — before building anything
  • Mapped why energy transition is his highest-conviction bet, bottom-up:
    • GHGs → renewable shift → CO2 halved
    • UEI as the energy trading layer
    • CPO incentive alignment as the real unlock
  • Built a Figma mindmap validating the whole thesis. Researched his portfolio: Ossus, SolarSquare, Matel. Ranked 10 key insights. Did the full work.
  • Then didn't send it.
What happened
  • Caught myself mid-way: the drive was "get a 10x career jump" — ego, not mission. Chose not to reach out from that place.
  • The self-awareness that stopped me is the thing he'd respect most.
06 Sahil Lavingia Gumroad / Antiwork · NYC

Gumroad / Antiwork · NYC

What I did
  • Studied the business cold: balance sheet, Antiwork's north star ($10M EBITDA), product philosophy, open-source strategy, PM stance
  • Sahil posted a $1K story bounty — wrote the sci-fi story with AI, then declined the money. Cold email: "I don't want the $1,000. I want to work with you."
  • Built a personalised video: why his "Reflecting" post was the moment I knew I had to reach out, how I could create leverage starting tomorrow
What happened
  • Got ghosted — then noticed he'd blocked me on X and deleted my comment on his thread
  • Reached back out: "Felt weird and unlike you — curious if something went wrong on my end." No reply.
  • Chose not to force it. Moved on clean.

Nintee

Product · Paras Chopra · Sequoia-backed · Bengaluru · Jun 2022 – Apr 2024

1st hire and founding PM. Worked directly with Paras Chopra ($200M SaaS exit). Shipped 12+ products 0→1 in two years — across healthcare, GenAI, and mobile gaming. No playbook, no senior PM, full ownership every sprint.

Nintee
  • WordRally (mobile word game) — 3 MVPs + 25 alpha builds in one month; D1 retention 25%; avg session 1.5 min → 8 min
  • Nintee Habit Coach (LLM, React Native) — conversational AI from design to prod; FTUE, image captioning, chat memory, intent classification
  • Weight loss coaching app — $800 MRR, 90+ active users globally; Sanjeev Bikhchandani and Vijay Shekhar Sharma were users
  • Calorie tracking + NLP chatbot — D7 retention 20% → 40%; Tanmay Bhat (6M followers) was an active user
  • Community — Discord + Telegram from 0 → 2,500 members; solved cold-start from scratch

Backers: Sequoia · Kunal Shah · Balaji Srinivasan


Level Supermind

Project Manager · 7th employee · BeerBiceps / Ranveer Allahbadia · Mumbai · May 2021 – Feb 2022

  • Led trainer onboarding — closed target by 157%, managed 7 global trainers across 5+ countries
  • Delivered 60+ audio experiences
  • Owned video production: team of 21, budget INR 20L (~$27k)

PijonCo

Co-Founder · Mumbai · Sep 2020 – Sep 2021

D2C merch brand built from zero — design, ops, meme marketing. 100+ orders PAN India. Shut down at breakeven when the learning curve flattened. Intentional.


🧑‍🏫 B.Tech, Food Engineering & Technology · Institute of Chemical Technology, Mumbai · 2017–2021. Chose not to sit for campus placements — joined BeerBiceps' startup instead.


🏔️ principles

These are reminders that take me closer to who I am. I need them time to time. Carved out based on experiences lived through.

Inspired from nabeelqu's principles note. Feel free to steal what you like.


📝 blog

Threads, essays, and notes. Mostly about mental health, startups, and what I'm figuring out.


Yash writing

i write where ever i can - i'm sure you can relate