Harsha Kalbalia · Product marketing + GTM
Harsha Kalbalia
Product marketing + GTM for technical products

From 0 the first buyers.

I work in the messy stage between a good product and repeatable adoption, defining the ICP, sharpening positioning, and turning the right growth levers into traction.

Product What is valuable?
ICP Who feels it most?
Distribution How do we reach them?

Good products create possibility. Good GTM makes it matter.

Across different products and markets, I kept coming back to the same question: why do people adopt one thing and ignore another?

Sometimes it is positioning. Sometimes trust, distribution, or even the product itself.

That gap between a product existing and a market choosing it is where I like working.

Market entryProduct adoptionCommercialisation

A full auditorium of practitioners at a product launch session in Bengaluru
A product launch session in San Francisco
PRODUCT LAUNCH EVENTS Bengaluru · San Francisco · London · Singapore

How I think about GTM

From market thesis to repeatable growth.

Who buys, why, and how we reach them

Market entry
01 Find the market Who has the problem, how painful is it, and why now? ICP · Use case · Buying trigger
02 Find the wedge What gives the product a real reason to win? Positioning · Differentiation · Reason to switch
Adoption
03 Build the motion What is the best route from interest to adoption? PLG · Sales · Content · Community · Partnerships
04 Follow the signal Where is the real constraint in the funnel? Activation · Conversion · Retention · Pipeline
Commercialisation
05 Feed it back What should change in the product, positioning or motion? Product · Pricing · Messaging · GTM

GTM in practice.

Case studies

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Datazip / OLake · Developer infrastructure

Building GTM from zero across two products.

Money Club / Vrddi

Turning financial behaviour into products people could trust.

Mudrex / WAGMI · Crypto investment platform

Building category trust, then expanding into acquisition at scale.

Datazip / OLake · 01

Building a developer audience from zero

0→1 Distribution
Practitioners and the OLake team after a community session
The room the programming was built for: practitioners who kept coming back.

Context / problem

When I joined, there was no real developer community, and the existing events had no clearly defined audience.

Customer and sales conversations clarified the ICP: data engineers, data leaders and CTOs at mid-market and enterprise companies operating petabyte-scale systems. They did not need generic developer content. They needed useful conversations with practitioners solving the same problems.

Strategic choice

I chose depth over broad reach. The early programming focused on technical questions developers already cared about, with practitioners who could speak from experience.

Webinars, events and open-source content gave OLake repeated ways to enter the same conversations. Each one brought new developers in, gave existing participants a reason to return and created material others could share.

My contribution

I designed the system end to end: timely data-engineering topics, hands-on speakers, controlled access and repeatable distribution.

LinkedIn drove reach. Luma and Meetup supported discovery and registration. YouTube extended each session. Slack became the owned layer where POCs, customers and open-source contributors could keep learning from one another.

The loop compounded: conversations shaped the programming, practitioners made it credible, and every event produced content and relationships that fed the next one.

Practitioners at an OLake session in Bengaluru
Speakers came from POCs and customers, not from a vendor deck.

Evidence / results

Events 80 at the first new-format event → 250+ per session
Webinars ~70 → 200 registrations per session, invite-led
Reach 7,000+ unique registrations
Slack 0 → 700 members in 15–18 months
LinkedIn 0 → 18K followers, hundreds of thousands of organic impressions
YouTube 50K organic impressions, no paid marketing
GitHub 1,500+ stars

Some attendees later became design partners, connecting the audience engine back to product learning and adoption.

Why it mattered

The audience became a distribution system. Technical programming brought developers in, repeated participation built familiarity, and each conversation created feedback, credibility and material for the next.

Datazip / OLake · 02

The strategic pivot from Datazip to OLake

Positioning Market entry
What data teams were carrying Data ingestion Storage Transformation Orchestration Third-party dependencies
Compressed into OLake Fast, open-source data replication

Context / problem

Datazip had a broad enterprise proposition, but customer conversations kept pointing to a sharper problem.

Data teams described replication as expensive, operationally heavy and too dependent on incumbent vendors. They wanted more control, less infrastructure overhead and a way to evaluate a product technically before making a commercial commitment.

The opportunity was not to make the existing story louder. It was to narrow the product bet around a problem the market already recognised.

The strategic choice

The founders and investors chose to concentrate the company around replication and move toward an open-source product.

My role was not to make that pivot. I brought customer and developer signals into the transition, then translated the new direction into a GTM system the market could understand and act on.

OLake architecture: source databases ingested by OLake Go, written to object storage or directly to Apache Iceberg, then read by query engines
The narrowed product: one replication path from source databases into open table formats.

My contribution

Customer discovery

I used conversations with users and buyers to surface recurring pain, buying friction, evaluation needs and the language data teams used to describe the problem.

Positioning

I helped turn a broad data-platform story into a focused replication narrative with a clearer ICP, buyer, use case and reason to try the product.

Launch

I translated the new direction into the website, messaging, launch narrative, customer education and early distribution for OLake.

Feedback loop

As OLake entered the market, I kept customer and developer signals flowing back into positioning, content and the GTM motion.

What changed

The repositioning gave the business what the broader proposition lacked: a clearer problem, a clearer buyer and a clearer reason to try the product.

Instead of asking the market to understand everything Datazip could do, OLake could lead with one urgent problem and let technical teams evaluate the product through open source.

Evidence

2

Successful product launches across Datazip and OLake

55+

POCs generated through the OLake GTM motion

200+

Sync jobs run monthly across the UI and CLI

Attribution: OLake GTM outcomes following the repositioning, not attributed to the pivot alone.

Why it mattered

Narrowing the problem gave OLake a clearer buyer, a clearer reason to try the product and a sharper GTM motion to build around, giving it scalability and fundraise.

Datazip / OLake · 03

Building adoption through community-led GTM

Launches & community Adoption
Data practitioners at an OLake meetup in London
Practitioner-led sessions across London, Bengaluru, San Francisco and Singapore.

Context / problem

OLake was attracting technical interest, but developers needed more than product messaging to evaluate it seriously.

They wanted to understand real use cases, hear from credible practitioners and ask detailed questions before trying the product in their own stack.

Strategic choice

I built a practitioner-led community around technical education, direct product conversations and real replication problems.

Webinars, events and ongoing discussions gave developers a place to learn, engage with the product and decide whether it was worth evaluating.

Community was not separate from adoption. It helped technical users move from interest into hands-on evaluation.

My contribution

I built and ran the market-facing system around adoption: shaping content for technical evaluation, creating paths from community participation into deeper product conversations, supporting POCs, and carrying recurring objections and demand signals back into product, positioning and enablement.

The operating principle was simple: make technical proof useful on its own, let practitioners engage at the depth they needed, and use real evaluation behaviour to improve the product and the GTM.

Evidence / results

Community built

700+

Members

45

Contributors

Adoption outcomes

55+

POCs

200+

Sync jobs run monthly across the UI and CLI

Why it mattered

Community became a bridge between technical interest and product use. It gave teams the context, practitioner proof and direct support they needed to evaluate OLake, start POCs and move toward production.

Money Club / Vrddi · Money Club

Turning a trust gap into a product, brand and GTM system

Positioning Adoption

Context / problem

Money Club was an existing consumer P2P finance product built around recurring money pools. The problem was larger than awareness or distribution. For many Tier 2 and Tier 3 users, financial products felt distant from their lives and too often appeared designed to benefit from their vulnerability rather than work for them.

The trust gap was structural. The opportunity was to make the product relatable, credible and visibly built around the people using it.

Insight / strategic choice

Through 75+ interviews across metro, Tier 2 and Tier 3 markets, I found that trust came from two things: recognition and proximity.

Financial need could create interest, but it did not make a new behaviour feel safe. Recognition made the product understandable and relevant. Proximity connected it to people, habits and systems users already trusted. Together, they gave us a clearer basis for product decisions, communication and positioning.

I turned that insight into a connected product, brand and GTM system rather than treating trust as a messaging problem alone.

Before

Money Club app screens before the redesign

After

Money Club app screens after the redesign
One product, rebuilt around recognition and proximity.

My contribution

I carried the research into every layer of the experience:

  • Product development and the full UI/UX
  • The app, web app and website
  • Rebrand, positioning and messaging
  • Social, campaigns and customer-facing collateral
  • Referral and incentive structures
  • NBFC partner and institutional communication
  • Creative, media and PR agency management

The goal was a more premium and credible product experience, not a higher-priced product. NBFC partnerships added institutional credibility, while the product and brand made the experience easier to understand and relate to.

This was not a new product launch. I helped reshape how an existing product worked, felt, communicated and went to market.

Printed Money Club customer-facing collateral
Customer-facing collateral for group leaders and local participation.
Money Club brand and campaign collateral
Rebrand carried through campaigns, social and print.

Evidence / results

75+

Customer interviews across metro, Tier 2 and Tier 3

7.8/10

average user rating

$48M+

Capital pooled, up from $30M

Recognition CNBC Top 200 Global Fintechs, and Ministry of Commerce accolades

Company-level, during this period

Why it mattered

Customer empathy became useful when it shaped the whole system: how the product worked, how the brand earned trust and how the business went to market and grew.

Money Club / Vrddi · Vrddi

Giving a financial product a clearer buyer story

What employees need. Why HR should care.

0→1 Market entry

Context / problem

Vrddi took the pooled-finance model behind Money Club inside companies as B2B SaaS. Where Money Club organised people through locality and community leaders, Vrddi organised participation around the employer.

Blue-collar workers lived with real financial instability and little support at work. Employers had the matching problem: retention. Neither side had a workable system. Workers had nowhere reliable to turn when they needed money, and employers had no structured way to support them beyond salary advances.

Vrddi built the missing infrastructure. Employers partnered with Vrddi, employees formed groups and contributed part of their salary into a recurring pool, and employers extended loans against pooled participation. Repayments replenished the pool, keeping it active year-round.

CONTRIBUTE POOL LOAN REPAY REPLENISH
EMPLOYEE = USER · financial security HR / EMPLOYER = BUYER · retention

Insight / strategic choice

The product only worked if HR bought it. The strategic move was translating an employee need into an employer-led benefit.

Financial security helped workers feel more stable at work, and that stability supported retention. In blue-collar workforces, where attrition is constant and expensive, Vrddi became a retention program with a financial engine underneath, not a loan product looking for a sponsor.

The positioning had to carry two stories at once. Employees needed a product that felt relatable and safe to join. HR needed a business case. The packaging and pitch connected both.

My contribution

I owned the product and its route to market end to end:

  • Product development and full UI/UX across the application and website
  • User and prospect research
  • Positioning, packaging and branding
  • Launch
  • Sales and investor pitches
  • Sales enablement
  • Partnerships, demos and enterprise conversations
  • Marketing

Evidence / results

200+

Users during this period

5,000+

Transactions on the platform since

Award Bronze, “Technology Solution Provider of the Year,” The Economic Times Human Capital Awards 2023
The Economic Times Human Capital Awards 2023 trophy awarded to Vrddi Industry recognition received during this period
Bronze, "Technology Solution Provider of the Year," The Economic Times Human Capital Awards 2023.

Why it mattered

Vrddi made a consumer finance model work in B2B SaaS by translating employee need into a business case HR could act on, then connecting the product to its buyer, pitch and route to market.

Mudrex / WAGMI · WAGMI

Making crypto credible before asking students to invest

Building one of India's largest student Web3 networks.

Distribution Launches & community
The WAGMI community film.

Context

Mudrex had student interest, but interest in crypto did not automatically become trust. New users needed a way to understand the category before they were asked to invest.

The signal

During my first project at Mudrex, I noticed students returning to sessions and bringing friends. We saw them not as weak leads, but as a future market that could grow through trusted peers.

The choice

I proposed WAGMI: a campus-led community that built category trust before acquisition. Instead of pushing students straight into the product, we gave credible believers the structure and access to explain the technology on their own campuses.

My contribution

WAGMI was my first project at Mudrex. I started it as an intern, scaled it into a growth motion, and was then promoted into the India business.

I started with ISB, then expanded through IITs, NITs, IIMs, BITS and MDI. I recruited and supported student ambassadors who ran campus chapters, organised talks, workshops and live projects, and built peer-to-peer interest in crypto. Discord programming connected the chapters and sustained participation between campus activities.

Mudrex gave ambassadors recognition and access. The company gained a network of future users and a concentrated hiring pool.

Mudrex → student ambassadors → campus chapters → talks, workshops and live projects → future-user network

Students at a WAGMI campus chapter session
Starting at ISB, then expanding across IITs, NITs, IIMs, BITS and MDI.

Results

5,000+

members in 8 months

50+

student ambassadors

30%+

community engagement through Discord programming and chapter activity

$70K

partner pipeline

Why it mattered

WAGMI turned early student interest into a participant-led growth system, building trust in a complex category before conversion was the ask.

Mudrex / WAGMI · Growth Engine

Learning how acquisition works beyond paid channels

Contributing across partnerships, field programs and lifecycle experiments as Mudrex scaled in India.

Adoption Distribution
PARTNERSHIPS FIELD PROGRAMS LIFECYCLE
↺ HYPOTHESIS → MEASUREMENT COHORTS · DAU/MAU · DROP-OFFS

Context

After WAGMI, my role widened into Mudrex's India growth motion. The problem was no longer only category trust. It was how to acquire, activate and bring users back across a market where crypto adoption was still uneven.

The signal

No single channel could do the whole job. Partnerships could borrow trust and reach. BTL programs could create direct consideration. Lifecycle surfaces could bring existing users back. Analytics showed where attention was turning into action and where it was dropping off.

The approach

The team treated these as connected parts of acquisition rather than isolated campaigns. Each activity needed a clear audience, conversion path and measurement loop.

My contribution

I worked across user acquisition, influencer marketing and brand partnerships, contributing to programs with Economic Times, Zepto, CRED, Decrypt and KoinX.

I supported BTL activations across Bengaluru offices and co-working spaces, coordinated media, design, affiliate and influencer agencies, and worked on growth experiments from hypothesis through measurement.

On the lifecycle and analytics side, I tracked cohort behaviour, DAU/MAU and drop-offs, and worked on push notifications and in-app widgets to support re-engagement.

Results

Company-level outcomes during the India growth motion:

App installs 300K → 700K+
Acquisitions 1M+ total at a 3:1 LTV:CAC over six months
ET partnership $1M+ AUM in three months

Why it mattered

This was where I learned to see growth as a system. Acquisition was not one campaign or channel. It was the interaction between distribution, trust, activation, retention and the analytics needed to improve each one.

Things I built

I like building where the shape is not obvious yet.

Outside work, I use small builds to test ideas around GTM, AI and product. If I want to understand how something works, I usually try building it.

Fractional & independent

Repositioning

The Pivot

A voice-to-text AI startup repositioned into AI governance for BFSI, Middle East. Three industry accolades followed.

Built using Claude
Agentic GTM

The Agent

Autonomous founder-to-investor engagement agent for an early-stage VC: finds AI-native founders, drafts sponsor proposals for events, qualifies leads in conversation.

Built using Cursor and Vercel
Community

Interface Built

A founders' community platform, designed, built and deployed end to end with AI tools.

Built using Claude Code and Vercel
Consumer app

A Narrative App

ReadAloud narrates any article, gamified into quizzes and scores you every few paragraphs. Built because I kept zoning out while reading.

Built using Codex, Firecrawl, Vercel, ElevenLabs
Repositioning

The Pivot

Voice to text AI governance, BFSI

A voice-to-text AI startup repositioned into AI governance for BFSI, Middle East. Three industry accolades followed.

Built using Claude
Agentic GTM

The Agent

An autonomous founder-to-investor engagement agent for an early-stage VC.

01Finds AI-native founders
02Drafts sponsor proposals for events
03Qualifies leads in conversation
Built using Cursor and Vercel
Community

Interface Built

A founders' community platform, designed, built and deployed end to end with AI tools.

Designed Built Deployed
Built using Claude Code and Vercel
Consumer app

A Narrative App

Article Narration Quiz & score

ReadAloud narrates any article, gamified into quizzes and scores you every few paragraphs. Built because I kept zoning out while reading.

Built using Codex, Firecrawl, Vercel, ElevenLabs

A little more about me

I studied economics because I wanted to understand how systems behave. My career taught me that systems are made of people, and people rarely behave as neatly as models predict.

Markets are less rational than they appear, and good strategy often begins with a better question.

Professionally, I work in GTM. Intellectually, I keep coming back to the same intersection: economics, technology and human behaviour.

The larger question

What makes something valuable, and what makes people believe it is?