Signal Capture
Watches job posts, tech-stack changes, site visits, and LinkedIn engagement. Knows who is in-market this week, not who merely exists.
→ 40% pipeline-efficiency gain, $180K+ ARR in 6 months
TheirStack · Trigify · RB2B · PhantomBuster
AI-NATIVE GTM LAB · EST. 2020 · UNATTENDED SINCE DAY ONE
One engineer. A roster of AI agents. I scope the strategy - TAM, ICP, personas, 1P/2P/3P signals - then compile it into pipelines that prospect, personalize, and book revenue unattended. Built with Claude Code, Python, Clay, and n8n.
the lab
The GTM org chart, collapsed into software. Each agent below is live in production - built, shipped, and attributed to revenue. Humans handle judgment and deals; the roster handles everything else.
Watches job posts, tech-stack changes, site visits, and LinkedIn engagement. Knows who is in-market this week, not who merely exists.
→ 40% pipeline-efficiency gain, $180K+ ARR in 6 months
TheirStack · Trigify · RB2B · PhantomBuster
Role mapping → SEO intel → gap analysis → positioning → generation. Per-contact emails for SEMrush/Ahrefs displacement, shipped with zero human review.
→ 1.5%+ positive replies across 150+ domains
Clay · Claude Code · OpenAI · Smartlead
Async fan-out across 100+ domains per batch with headless enrichment of JS-rendered pages. Analyst-days of intel, no analyst.
→ 6-hour batches down to under 30 minutes
Python · Playwright · asyncio · deepline-CLI
500+ visit-tracked personalized landing pages tracking Share of Answer + AI Share of Voice, plus per-account Sendspark video in sequence.
→ Enterprise logo closed at $25K MRR
Ahrefs · OpenAI · Sendspark
Custom LLM rubric scores fit and intent with reasoning, pushes routed context into HubSpot, and pings the closer while the lead is still warm.
→ Qualification cut 48h to 9.6h (-80%)
OpenAI · webhooks · HubSpot · Slack
Resolves anonymous traffic to person and account, enriches through Clay, and auto-sequences into email + LinkedIn the same day.
→ Anonymous traffic becomes sequenced pipeline
RB2B · n8n · Clay · Smartlead · HeyReach
operating system
TAM, ICP, personas, and signal selection are decided before a single tool is wired. A fast engine pointed at the wrong market is expensive noise.
Static lists say who exists. Signals - job posts, stack changes, visits, engagement - say who is buying this week. The lab sequences on the second.
If a pipeline needs a babysitter, it is not finished. Agents score, retry, branch, and ship copy without review.
Reply rates are diagnostics; ARR is the metric. Every agent attributes to closed-won or gets killed.
proof, not promises
Venture-backed teams face brutal arithmetic: the board expects 3x pipeline, the budget grows 1.2x headcount. The lab closes that gap with compounding systems, not SDR headcount.
One engineer, one AI system, greenfield build no. 3. Engine live in under 3 days, $897K+ qualified and active pipeline, every dollar attributed.
read the full build → workflowsNode-by-node production diagrams across positioning, copywriting, outbound, ABM, RevOps, and LinkedIn content.
see the systems →track record
OCT 2025 - PRESENT
Omnibound AI - AI search marketing platform · Remote
APR 2023 - JUN 2025
RemoteState - IT services, $12.2M ARR · Noida
DEC 2022 - APR 2023
FalconWise Tech - cybersecurity · Dubai, Remote
JUN 2022 - DEC 2022
CareerLabs - EdTech · Bangalore
2020 - 2022
Inside Sales Specialist, Skill-Lync (EdTech) · Government service · BCA, Computer Science - Sabarmati University · CSP - Relevel · PMM & GTM - Dekker Fraser
the loadout
AI & Automation
Signals & Intent
Outbound & Enrichment
GTM & CRM
Data & Analytics
open channel
Currently AI GTM Engineer at Omnibound AI. Open to hard GTM engineering problems - greenfield builds, signal architecture, AI-native revenue systems.