What is a serial successful founder?

A serial successful founder is an entrepreneur who has previously built and exited at least one company worth $1 billion or more.

Why track ventures by serial founders?

Serial founders with successful exits are 2-3x more likely to succeed with subsequent ventures.

How does FollowFounder discover new ventures?

Our automated pipeline monitors press releases, funding announcements, and startup databases using AI classification.

How often is the data updated?

The pipeline runs multiple times daily, scanning for new funding rounds and venture launches.

Can I suggest a founder or venture?

Yes — we welcome suggestions for serial founders launching new ventures that meet our criteria.

FollowFounder

17 ventures

Thursday, April 2, 2026

Last Updated: Apr 2, 2026, 02:11 PM

FollowFounder is a real-time index of startup ventures launched by serial successful founders — entrepreneurs who previously built and exited companies worth $1B or more.

Category:

Model:

Stage:

Series BB2BHospitality

THE PROBLEM

Independent restaurants fail at 60% rate in year one — owners lack systems for hiring, training, and operations that chains have built over decades

THE APPROACH

Hospitality operating system combining workforce management, training programs, and supply chain tools purpose-built for independent restaurant groups

FOUNDED BY

Danny Meyer

3x Founder · Previously: Shake Shack

$45M

Series B

Series AB2CFashion & Apparel

THE PROBLEM

Online fashion return rates hit 30-40% because customers cannot gauge fit, style, or quality from product photos alone

THE APPROACH

AI styling engine that combines body measurement data with taste algorithms to curate personalized capsule wardrobes delivered quarterly

FOUNDED BY

Katrina Lake

2x Founder · Previously: Stitch Fix

$30M

Series A

Series AB2CFood & Beverage

THE PROBLEM

Wine buying is intimidating — 70% of consumers pick bottles based on label design because they lack knowledge to choose by taste preference

THE APPROACH

AI sommelier that learns individual palate preferences through tasting feedback and curates monthly DTC wine shipments from small-batch producers

FOUNDED BY

Gary Vaynerchuk

3x Founder · Previously: Wine Library

$15M

Series A

Series AB2BClimate

THE PROBLEM

Single-use packaging generates 80M tons of waste annually — brands want sustainable alternatives but can not manage reverse logistics at scale

THE APPROACH

Circular packaging platform providing branded reusable containers with QR-tracked return logistics and automated cleaning infrastructure

FOUNDED BY

Sarah Kauss

2x Founder · Previously: S'well Bottles

$25M

Series A

Series CB2CRetail & Ecommerce

THE PROBLEM

Prescription eyewear costs $300+ per pair and styles are permanent — consumers want variety without buying multiple expensive frames

THE APPROACH

Magnetic snap-on frame tops that attach to a base prescription frame, enabling unlimited style changes for a fraction of traditional eyewear cost

FOUNDED BY

Neil Blumenthal

2x Founder · Previously: Warby Parker

$75M

Series C

Series BB2BHealthcare

THE PROBLEM

Physicians spend 2 hours on documentation for every 1 hour with patients

THE APPROACH

Ambient AI scribe that listens to patient encounters and generates structured clinical notes, orders, and referrals automatically

FOUNDED BY

Mike Ng

2x Founder · Previously: Carbon Health

$70M

Series B

SeedB2BFintech

THE PROBLEM

SMBs lose $50K+/yr in idle cash because treasury tools are built for Fortune 500

THE APPROACH

Embeddable treasury API that auto-sweeps idle balances into highest-yield instruments, accessible via any banking app

FOUNDED BY

Oscar Pierre

2x Founder · Previously: Glovo

$18M

Seed

SeedB2CConsumer Tech

THE PROBLEM

Online grocery returns are 3x higher than in-store because algorithms pick wrong substitutions

THE APPROACH

AI personal shopper that learns household preferences and makes human-quality substitution decisions in real time

FOUNDED BY

Daniel Kunowski

2x Founder · Previously: Instacart (early)

$12M

Seed

Series AB2BHealthcare

THE PROBLEM

Doctors lose ~$125B/yr to denied insurance claims requiring manual appeals

THE APPROACH

AI agents autonomously write & submit appeal letters, learning from wins to boost success rates

FOUNDED BY

Parth Shah

2x Founder · Previously: MongoDB

$38M

Series A

Series AB2BSales Tech

THE PROBLEM

SDR teams convert only 2% of outbound leads, wasting 98% of prospecting effort

THE APPROACH

Autonomous AI sales agent that researches prospects, crafts hyper-personalized sequences, and books qualified meetings

FOUNDED BY

Bernd Viegers

2x Founder · Previously: MessageBird

$15M

Series A

Series AB2BCustomer Support

THE PROBLEM

B2B support requests buried in Slack channels have 4x longer resolution times than ticketed issues

THE APPROACH

AI layer that auto-detects support requests in Slack/Teams, creates tickets, routes to agents, and resolves common issues autonomously

FOUNDED BY

Kushal Byatnal

2x Founder · Previously: Freshworks

$25M

Series A

Series CB2BSales Tech

THE PROBLEM

Go-to-market teams juggle 10+ data tools to enrich leads, costing $100K+/yr with 30% stale data

THE APPROACH

Universal data enrichment platform that waterfalls 75+ providers and uses AI to score, clean, and route leads automatically

FOUNDED BY

Varun Mohan

2x Founder · Previously: Codeium

$250M

Series C

Pre-SeedB2BHealthcare

THE PROBLEM

Medical practices lose 15 hours/week per staff member on prior authorization phone calls

THE APPROACH

AI voice agent handles prior auth calls end-to-end — navigates IVR trees, waits on hold, speaks to reps, and reports results

FOUNDED BY

Alex Simonian

2x Founder · Previously: Blueprint Health

$8M

Pre-Seed

Series BB2BCybersecurity

THE PROBLEM

Enterprises can't detect AI-generated deepfakes used in social engineering attacks

THE APPROACH

Real-time deepfake detection inside Zoom, Slack, email — flags AI-manipulated content before employees act

FOUNDED BY

Brian Long

3x Founder · Previously: Attentive

$81M

Series B

Series AB2BRobotics

THE PROBLEM

Physical robots can't generalize — each task needs months of custom programming

THE APPROACH

Foundation model for robotic control — one AI that lets any robot learn tasks from natural language instructions

FOUNDED BY

Pieter Abbeel

3x Founder · Previously: Covariant

$400M

Series A

Series BB2BCompliance

THE PROBLEM

Startups spend 6+ months and $500K+ on SOC 2 and ISO compliance manually

THE APPROACH

Continuous compliance monitoring that auto-maps controls to frameworks, generates evidence, and fixes gaps in real time

FOUNDED BY

Christina Cacioppo

2x Founder · Previously: Vanta

$55M

Series B

Series AB2BEnterprise Software

THE PROBLEM

Enterprise procurement teams waste 40% of time on repetitive contract negotiations

THE APPROACH

AI negotiation agent that benchmarks terms against market data and auto-redlines contracts to optimal positions

FOUNDED BY

Nicholas Sherwood

2x Founder · Previously: Omnea

$22M

Series A

Independent restaurants fail at 60% rate in year one — owners lack systems for hiring, training, and operations that chains have built over decades

Hospitality operating system combining workforce management, training programs, and supply chain tools purpose-built for independent restaurant groups

Danny Meyer — Enlightened Hospitality Investments — $45M

Online fashion return rates hit 30-40% because customers cannot gauge fit, style, or quality from product photos alone

AI styling engine that combines body measurement data with taste algorithms to curate personalized capsule wardrobes delivered quarterly

Katrina Lake — Lake House Partners — $30M

Wine buying is intimidating — 70% of consumers pick bottles based on label design because they lack knowledge to choose by taste preference

AI sommelier that learns individual palate preferences through tasting feedback and curates monthly DTC wine shipments from small-batch producers

Gary Vaynerchuk — Empathy Wines 2.0 — $15M

Single-use packaging generates 80M tons of waste annually — brands want sustainable alternatives but can not manage reverse logistics at scale

Circular packaging platform providing branded reusable containers with QR-tracked return logistics and automated cleaning infrastructure

Sarah Kauss — GreenLoop — $25M

Prescription eyewear costs $300+ per pair and styles are permanent — consumers want variety without buying multiple expensive frames

Magnetic snap-on frame tops that attach to a base prescription frame, enabling unlimited style changes for a fraction of traditional eyewear cost

Neil Blumenthal — Pair Eyewear Ventures — $75M

Physicians spend 2 hours on documentation for every 1 hour with patients

Ambient AI scribe that listens to patient encounters and generates structured clinical notes, orders, and referrals automatically

Mike Ng — Ambience Healthcare — $70M

SMBs lose $50K+/yr in idle cash because treasury tools are built for Fortune 500

Embeddable treasury API that auto-sweeps idle balances into highest-yield instruments, accessible via any banking app

Oscar Pierre — Vesto — $18M

Online grocery returns are 3x higher than in-store because algorithms pick wrong substitutions

AI personal shopper that learns household preferences and makes human-quality substitution decisions in real time

Daniel Kunowski — Joey — $12M

Doctors lose ~$125B/yr to denied insurance claims requiring manual appeals

AI agents autonomously write & submit appeal letters, learning from wins to boost success rates

Parth Shah — Tennr — $38M

SDR teams convert only 2% of outbound leads, wasting 98% of prospecting effort

Autonomous AI sales agent that researches prospects, crafts hyper-personalized sequences, and books qualified meetings

Bernd Viegers — SELR.ai — $15M

B2B support requests buried in Slack channels have 4x longer resolution times than ticketed issues

AI layer that auto-detects support requests in Slack/Teams, creates tickets, routes to agents, and resolves common issues autonomously

Kushal Byatnal — Thena — $25M

Go-to-market teams juggle 10+ data tools to enrich leads, costing $100K+/yr with 30% stale data

Universal data enrichment platform that waterfalls 75+ providers and uses AI to score, clean, and route leads automatically

Varun Mohan — Clay — $250M

Medical practices lose 15 hours/week per staff member on prior authorization phone calls

AI voice agent handles prior auth calls end-to-end — navigates IVR trees, waits on hold, speaks to reps, and reports results

Alex Simonian — CareStack — $8M

Enterprises can't detect AI-generated deepfakes used in social engineering attacks

Real-time deepfake detection inside Zoom, Slack, email — flags AI-manipulated content before employees act

Brian Long — Adaptive Security — $81M

Physical robots can't generalize — each task needs months of custom programming

Foundation model for robotic control — one AI that lets any robot learn tasks from natural language instructions

Pieter Abbeel — Physical Intelligence — $400M

Startups spend 6+ months and $500K+ on SOC 2 and ISO compliance manually

Continuous compliance monitoring that auto-maps controls to frameworks, generates evidence, and fixes gaps in real time

Christina Cacioppo — Comply AI — $55M

Enterprise procurement teams waste 40% of time on repetitive contract negotiations

AI negotiation agent that benchmarks terms against market data and auto-redlines contracts to optimal positions

Nicholas Sherwood — ProcureAI — $22M

Frequently Asked Questions

What is a serial successful founder?: A serial successful founder is an entrepreneur who has previously built and exited at least one company — typically through acquisition or IPO — worth $1 billion or more, and has gone on to start a new venture.
Why track ventures by serial founders?: Serial founders with successful exits have proven their ability to build at scale. Research shows they are 2-3x more likely to succeed with subsequent ventures, making them a valuable signal for identifying high-potential startups early.
How does FollowFounder discover new ventures?: Our automated pipeline monitors press releases, funding announcements, SEC filings, and startup databases. We use AI to classify ventures and verify founder track records before adding them to the index.
How often is the data updated?: The pipeline runs multiple times daily, scanning for new funding rounds, venture launches, and founder activity. Each venture card shows a relative timestamp indicating when it was last refreshed.
Can I suggest a founder or venture to track?: Yes — we welcome suggestions. If you know of a serial founder launching a new venture that meets our criteria (previous exit of $1B+), please reach out and we will review it for inclusion.