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foundercopilot.co/vishwa

I’m Vishwahithh.

I work on product. Building Founder Copilot in private alpha. Consulting selectively with founders who live in 0β†’1 distribution problems.

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Kilimanjaro Β· 2021Kilimanjaro Β· 2021

Top 5% in a 28-day mountaineering course.

fc_alpha_v0.tsx
Founder CopilotFounder Copilot

Workflow-powered distribution tool. Private alpha.

the long bet
scorecard_20260509.json
X Growth AgentX Growth Agent
9 agents Β· self-healing on 3-strike fails
leads_db.json
AIOS Lead EngineAIOS Lead Engine
5-stage LinkedIn qualifier
p1_midcheck.md
PriceMaker Β· clientPriceMaker Β· client
21% InMail reply Β· 1 meeting from P0–P1
aurora_master.md
AuroraAurora
pitch deck shipped from raw data in <3 hrs
exec_ed_v3.framer
Executive Education Β· clientExecutive Education Β· client

0β†’1 GTM stack β€” brand, Framer site, outbound, analytics.

14.9K impressions Β· 154 followers Β· funnel mapped before paid
01identity
↑ I’m the one standing here.
02trail
↑ this one is the long bet
03the lab
messaging never fails. systems do.
04case studies
signal > volume. tight loop > more pipes.
05reps
0β†’1 GTMβ˜…β˜…β˜…β˜…β˜…Messagingβ˜…β˜…β˜…β˜…β˜…Agentic AIβ˜…β˜…β˜…β˜…β˜…Distributionβ˜…β˜…β˜…β˜…β˜…Klaviyo / Lifecycleβ˜…β˜…β˜…β˜…β˜…Cold outboundβ˜…β˜…β˜…β˜…β˜…
β€” The shape of it β€”

Three trainings. One operator.

Hand-drawn Venn diagram showing the overlap of three trainings β€” B.Tech in IT (engineer who ships), MiM (strategist who models), and MSc Strategic Marketing (marketer who positions). The triple intersection is labelled 'GTM operator'. A handwritten note in the corner reads 'builds the loop, not just the deck'.
β€” Now β€”

Three things, in parallel.

  • Building

    Founder Copilot β†’

    Workflow-powered distribution tool. In private alpha β€” running founder calls before building the rest.

  • Shipping

    .antigravity

    The lab where the systems actually get built. X-growth bot, LinkedIn lead qualifier, Aurora strategist, PriceMaker outreach engine.

  • Consulting

    1–2 founders / quarter

    0β†’1 GTM end-to-end: ICP β†’ messaging β†’ funnel β†’ automation. Selective. Email me only if you live in the problem.

β€” Thinking β€”

Three patterns keep showing up across the work. Different surfaces. Same shape.

  • 01

    The first job of a cold campaign isn't conversion. It's diagnosis.

    Most teams treat the first outbound touch like a persuasion exercise. Better question: what is this message supposed to uncover. Who’s still in the problem. Who’s aware. Who’s moved on. A campaign that gets replies is fine. One that teaches you how the market is split is much better.

  • 02

    Most teams don't have a traffic problem. They have a learning-speed problem.

    Signal sits in three tools. Replies in another. Calls somewhere else. CRM half-clean. Then everyone says we need more volume. Sometimes. More often what’s missing is the tighter loop β€” message β†’ response β†’ qualification β†’ feedback β†’ iteration. Each interaction improves the next one. That’s what makes GTM compound.

  • 03

    Messaging doesn't fail. Systems do.

    I shipped a 0β†’1 acquisition funnel from scratch in 24 hours. Research β†’ positioning β†’ landing page β†’ diagnostic β†’ ads. What only became obvious after it was live: ads, landing pages, and diagnostics break when they try to do the same job. Most GTM mistakes happen before traffic arrives. Shipping something real collapses debate into behaviour very fast.

That’s the lens for the rest of it. Founder Copilot is the long bet on this loop β€” turning a founder’s own discovery calls into the next move, the next test, the next angle. Consulting keeps me close to the problem. The .antigravity experiments are how I get reps before the bigger bets land.

Signal > volume.
Tight loop > more pipes.
Learning velocity > outcomes β€” until outcomes catch up.

β€” Selected work β€”

Ten projects with real numbers behind them.

Three buckets. Shipped = real users / real revenue. System= agentic pipelines I’ve built and run end-to-end. Case study = client / internship work with measurable outcomes. No GitHub forks, no half-baked sketches.

  • Content Ops

    Personal LinkedIn growth dashboard β€” posting rhythm, comment queue, watchlist signals, draft inbox. Built for daily single-channel operating.

    566 β†’ 10,000 follower path Β· daily activeproduct
  • X Growth Agent

    Nine-agent system that runs an X account end-to-end β€” Sentinel, Scribe, Judge, Publisher, Engager, Analyst. Judge evaluates before publish; Debugger self-heals on three-strike failures.

    Running daily Β· €6.80/mo budget Β· 707-line specsystem
  • AIOS Lead Engine

    Five-stage LinkedIn lead qualifier. Scrape profile + posts β†’ ICP-fit score β†’ conversion-gap analysis β†’ DM draft β†’ batch upload to outreach tool.

    Production prompt-pipeline Β· audited end-to-endsystem
  • Aurora

    Multi-agent founder strategist for a hackathon brief. Ingested the company dashboard + CEO memos, red-teamed strategy, generated a CEO-ready pitch deck.

    Pitch deck shipped from raw data in under 3 hourssystem
  • PriceMaker

    Cold outbound for a B2B pricing consultant. Designed the wave architecture, CEO/CFO segmentation, HeyReach sequencing, mid-check analytics.

    21% InMail reply rate Β· 1 meeting booked from P0–P1 phasecase study
  • F1 Γ— Apple TV

    Built the 2026 measurement dashboard for the F1 launch on Apple TV — North Star metric, qualified reach, landing→activation rate, retargeting view.

    WARV 292,775 / 450k target Β· 65% to goal Β· live with teamcase study
  • Executive Education

    Owned the full 0β†’1 GTM stack for an EdTech brand β€” brand identity, Framer-built site, outbound assets, instrumented analytics.

    14.9K impressions Β· 154 followers Β· funnel mapped before paidcase study
  • Studio 21

    Designed and shipped the marketing site for a small-business design studio β€” Framer build, brand voice, hero-to-CTA conversion path.

    Live in Framer Β· positioning + audit funnel as the primary CTAcase study
  • DTC outdoor brand

    Built GA4 from scratch, ran a Klaviyo lifecycle for a community challenge. Found the channel reversal that flipped the strategy.

    Email 35% vs Strava 9.7% Β· €442 from one nurture sequencecase study
  • Terrush

    Founded a B2B lead-gen agency before MIM. Built the CRM, sequencing, and lifecycle automation from zero. Self-served, no support team.

    1,000+ personalised emails Β· 20% reply Β· 10+ C-suite meetings bookedcase study
  • Antigravity Job Pipeline

    Personal job-search tool β€” scrapes target companies, scores 70%+ matches against my profile, auto-generates a tailored CV per role, tracks applications.

    12 pending Β· 4 applied Β· 5 CVs/week Β· 70% top matchpersonal tool

3D constellation view incoming.Same data, you’ll be able to drag-rotate the whole thing and see how the projects connect.

β€” Track β€”

The path here.

  • Now

    MMSC at IE Business School (current). Building Founder Copilot in private alpha. Madrid.

  • 2024–25

    Master in Management at IE Business School. IE Foundation Scholarship β€” top 10% of applicants. Externships at HP Tech Ventures (Axiom Cloud memo, $20B market) and Beats by Dre (100+ Gen-Z surveys β†’ messaging frameworks).

  • 2023–24

    Founded Terrush β€” a B2B lead-gen agency built on n8n + Sheets. 1,000+ personalised emails, 20% reply rate, 10+ C-suite meetings booked. Self-served, no team.

  • 2022–23

    Founded Xploreee β€” an eco-friendly travel clothing brand. 3-piece collection, market research across 5+ Indian cities, 20+ founding-customer interviews.

  • 2021

    Mt. Kilimanjaro. Khardungla Pass. Meerathang Glacier. Top 5% in a 28-day mountaineering course β€” best decision-making training I’ve had outside of shipping product.

β€” Contact β€”

Three doors.
Pick the right one.