I build products that didn't exist yesterday
I'm Saransh. I've spent the last 4 years working with founders across AI, fintech, and insurance, figuring out what to build, why it matters, and how to get people to use it.
Right now I'm on the founding team at Sonic Linker, building an AI visibility platform from scratch. Before that, I helped enterprise SaaS and financial advisory companies turn messy problems into products that work.
My Story
I started in engineering, did a dual B.Tech and MBA at Gautam Buddha University, and realized pretty quickly that I cared more about why we were building things than how the code worked.
My first real product education came at NJ Group, where I managed 60 financial advisors. That's where I learned to diagnose problems before jumping to solutions. Low insurance sales? Everyone assumed the product needed work. Turns out the advisors just needed better training.
Then I spent two years at Finvestfx, a Forex and Treasury SaaS company, managing 20+ enterprise client accounts. Enterprise taught me how to prioritize when everyone's request is "urgent" and how to say no without burning relationships.
Now I'm on the founding team at Sonic Linker, building an AI visibility platform from zero. No playbook, no existing user base. Just a problem worth solving and a team that moves fast.
I'm also doing my Executive PGP in Product Management at IIM Ranchi right now, mostly because I wanted to pressure-test my instincts against formal frameworks. Bengaluru is home base.
The short version
Education
How I Think
Every PM has a default approach to problems. Here's mine, shaped by 4 years of working with founders across very different industries.
Problem first, always
I learned this the hard way at NJ Group. Insurance penetration was low and everyone wanted a better product. The real issue was that advisors didn't know how to sell insurance. I dig into the root cause before I touch a solution.
Data-informed, not data-paralyzed
At Sonic Linker, I set up Mixpanel funnels from scratch to track what users actually do. But I don't wait for statistical significance when the sample is 50 users. At zero, strong signals and fast iteration beat perfect data.
Speed of learning over speed of shipping
Shipping fast is great. But shipping the wrong thing fast is expensive. I'd rather run a quick experiment, talk to 5 users, and validate the direction before committing engineering weeks to a feature.
Say no with data
At Finvestfx, every enterprise client had urgent feature requests. I built a prioritization framework scoring by revenue impact and churn risk. It gave us a language to decline requests without damaging relationships.
Client Work & Impact
I've worked across AI, fintech, and insurance. Each company taught me something different about how products succeed.
Sonic Linker
Founding Team, Product & GrowthJoined as the founding team's PM to build an AI visibility platform from scratch. Owned the roadmap end-to-end, from customer discovery to shipping the core product. Scaled the client base from zero to 40+ mid-sized and enterprise accounts. Set up analytics from zero, identified onboarding as the biggest churn lever, and fixed it.
Finvestfx
Business Development ManagerManaged the full client lifecycle for a Forex and Treasury SaaS platform. Handled onboarding, UAT, and go-live for enterprise accounts. Built a prioritization framework that gave us a way to say no to feature requests without damaging relationships.
NJ Group
Senior Sales ExecutiveManaged and coached 60 Independent Financial Advisors at India's largest mutual fund distributor. Diagnosed low insurance penetration as a training gap, not a product gap. Built a coaching framework that made advisors effective faster.
Challenges I've Solved
The interesting part of product work is never the clean version. Here are some real problems I ran into and how I worked through them.
Onboarding was killing us
Sonic LinkerWe were losing users before they ever saw the product's value. People signed up, hit a cluttered dashboard, and left. The product worked. The path to it didn't.
I instrumented Mixpanel funnels to find exactly where users dropped off. Mapped the aha moment (seeing your first AI citation), stripped onboarding to the minimum steps to get there, and shipped fixes over 2 sprints.
Early user drop-off went down significantly. The product didn't change. The first 5 minutes did.
Enterprise clients all wanted different things
FinvestfxWith 20+ enterprise clients on a Forex SaaS platform, the feature request backlog was chaos. Every client thought their request was the most important. Saying yes to everyone meant shipping nothing well.
I introduced a prioritization model that scored every request by revenue impact and churn risk. Gave us a framework to have honest conversations with clients about what's coming next and why.
Client retention improved by roughly 1.3x. We shipped fewer features but the right ones.
Advisors weren't selling insurance
NJ GroupI was managing 60 Independent Financial Advisors. Insurance penetration was low and the assumption was that the product needed work. But when I dug in, the product wasn't the issue.
I diagnosed it as a capability gap. Advisors didn't have the confidence or the scripts to sell insurance. I built a targeted coaching framework around the top objection types they faced.
Time to advisor effectiveness compressed. The fix was people, not product.
My Perspectives
Opinions and lessons from building products, chasing growth, and listening to customers. Organized by the PM skill they connect to.
Product Craft
2 piecesBuilding, shipping, and making products people actually use
Stop Writing 50-Page PRDs
The best PRDs I've written were under 2 pages. If your team needs a novel to understand what to build, the problem isn't the document.
Onboarding Is Your Most Important Feature
You can build the best product in the world, but if users can't reach the aha moment in 5 minutes, they'll churn before they ever experience it.
Growth & Data
2 piecesAcquisition, analytics, and figuring out what works
AI Visibility Is the New SEO
People are getting answers from ChatGPT and Perplexity now, not just Google. If an AI doesn't recommend your product, your Google rank barely matters.
Growth at Zero Is Different
The playbooks that work for Series B companies don't apply when you're pre-PMF. At zero, growth is about learning, not scaling.
Customer Voice
2 piecesUser research, client relationships, and listening well
Working with Founders Taught Me More Than Any MBA
Four years of working directly with founders across fintech, insurance, and AI gave me a product education no classroom could match.
Your Best Feature Request Is Hiding in a Complaint
Enterprise clients rarely tell you what they want directly. The real signal is buried in what they complain about.
From the Blog
Longer pieces where I go deep on topics I care about. Research, frameworks, and personal experience mixed together.
Why Sales Is a Must-Have Skill for Product Managers
Most PMs think sales is someone else's job. I used to think that too, until I realized that every good PM is selling something every single day.
Why Data Insights Matter for Informed Product Decisions
Gut feelings are fine for choosing lunch. For product decisions that affect thousands of users, you need something better.
Content Impact
Say Hello
Want to talk about product, AI, or startup problems? Have a question about something I wrote? Just want to connect? I'm always up for a good conversation.