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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.
About Me
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.
Four years of working with founders across fintech, insurance, and AI taught me how products actually get built. Not the textbook version. The messy, real version where you're figuring out ICP, prioritization, and go-to-market all at once.
Currently doing my Executive PGP in Product Management at IIM Ranchi. Bengaluru is home base.
Timeline
Client Work & Impact
Sonic Linker
Founding Team, Product & GrowthBuilt AI visibility platform from zero. Scaled to 40+ mid-sized and enterprise clients.
Finvestfx
Business Development ManagerManaged 20+ enterprise accounts for a Forex and Treasury SaaS platform. Built prioritization frameworks that improved retention.
NJ Group
Senior Sales ExecutiveCoached 60 Independent Financial Advisors. Diagnosed low insurance sales as a training gap, not a product gap.
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.
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.
What I Write About
Perspectives and deep dives organized by topic. Personal experience mixed with research and frameworks.
Product Growth
Building, shipping, and making products people actually use
AI & Technology
How AI is changing discovery, work, and product building
Growth & GTM
Acquisition, go-to-market, and figuring out what works at zero
Customer & Founder Insights
Lessons from working with clients and founders up close
Data & Decisions
Using data to make better product calls
Written for founders
If You're Building Early Stage
Practical thinking for seed and bootstrapped founders — on product decisions, PMF, and when to bring in help.
What Founders Get Wrong When They Try to Be Their Own PM
The 4 expensive patterns I've seen founders repeat — and the line that's harder to see from the inside than it looks.
How to Know If You Have Product-Market Fit (Not the Theory, the Actual Signals)
The quantitative and qualitative signals that actually tell you if you've crossed the line — for bootstrapped and funded teams.
Working with a founder right now?
I work with early-stage teams on product strategy, roadmap, and GTM. Let's talk.
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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.