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Govind
Sharma

GTM engineering with a closer's instinct

six years carrying a bag. now building the system.

0+
cold calls
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emails + dms
$0M+
deal value
$0M+
pipeline sourced

across saas and real estate · 2017—present

live signal
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SCORETIER 3 — monitor

Every case study on this site is about finding signal in noise. This one's yours.

Runs entirely in your browser. Nothing is stored, nothing is sent.

01 / signal

Signal

Finding who's in market, when, and why — the engine nobody sees but everybody feels.

02 / craft

Craft

The message, the film, the frame — the thing that makes someone reply instead of delete.

03 / revenue

Revenue

Deals closed, pipeline moved, numbers hit — the reason any of it matters.

Every idea becomes a system. Every system closes a deal. Every deal funds the next idea.

about

Six years carrying a bag taught me where deals actually come from. Now I build the systems that find them, and cut the films that make people reply.

Software engineering sits at 2 on purpose. Knowing where my edge ends is the skill — I direct the person who writes the code, I don't pretend to be them.

signal
clayBold. We both know that's not true.
zoominfo
n8n
demandbase
claude code
g2
codex
apollo
openmart
craft
davinci resolveI've graded more footage than most GTM engineers have opened tables.
capcut
lightroom
revenue
salesforceSix years say otherwise.
outreach
hubspot
salesloft
sales navigator
instantly
smartlead
not this
pythonNo. I'd direct someone who does.
apexNo. Knowing that is the skill.
soqlNo. Ask the person I'd hire.
lookerNo. I'd read the dashboard, not build it.
blenderAbsolutely not.
case studies 01 / case study

Building the GTM Engine for Ask Arthur

An AI voice agent for restaurants needed to know exactly who to sell to and how, not just that everyone with a phone was a prospect.

Prioritized outreachby real buying signals, not gut feel
3 buyer motionsinstead of one generic pitch
Turnkey handofffully operational without me
list disqualify score segment outbound
clayclaygentfoursquare places apifind jobsclay sequencer
read the full build →
02 / case study

Signal Scored Account Prioritization for GTM Agencies

Built a live scoring system that reads funding, hiring, and product signals to tell reps exactly which accounts are in a buying window right now.

Five live signalsscored and weighted into one ranked queue
Tiered prioritizationreplaces a flat, random order list
Custom changelog signalturns a public product update into a same week opener
filter score signals weight tier outreach
clayclaygentfind jobsmeta prompting
read the full build →
03 / case study

Turning Event Sponsorship From a Guess Into a Signal

Replaced gut feel sponsorship decisions with a system that shows exactly where target accounts cluster and validates it against real event activity.

Data backed market selectionreplaces guesswork on where to spend sponsorship budget
Reusable logicworks for net new prospects or existing accounts with no rebuild
Self refreshingrecalculates its own event window every time it runs
find accounts enrich leaders match events cluster decide
clayticketmaster apihttp api functions
read the full build →
04 / case study

Signal Based Account Prioritization for Procore Sales Reps

Replaced gut feel account prioritization with a live signal engine that tells reps who to call first and why, then automates the alert straight to Slack.

Real time prioritizationfrom live buying signals, not static lists
Automated alertingputs the account in front of the rep the moment it is hot
Dual path logichandles both net new and existing accounts
filter enrich signals tier slack alert
clayclaygentfind jobsslackmeta prompting
read the full build →
contact govindpunjsharma@gmail.com
bygovind.com linkedin