Skip to main content

TechCrunch Early Stage is the startup bootcamp you’ve always needed

Wondering how to nail that virtual pitch meeting and raise VC funding? Or how to build a high-octane sales team? What about recruiting early team members that will fuel future growth? Managing the finances of a new company while also wondering about your own personal finances as a founder? Legal? Marketing? PR? Being a great leader?

The answer to every single one of these questions, and many more, will be at TechCrunch’s Early Stage events.

The event series takes place across two dates: April 1 – 2 and July 8 – 9.

Unlike other TechCrunch events, there is no ‘main stage.’ Each session is designed to tackle one of the many core competencies any startup needs to be successful. But this isn’t just about listening — every session includes plenty of time built in for audience Q&A. Essentially, it’s all breakout sessions, all day.

Our incredible speakers, who range from Zoom CRO Ryan Azus (‘How to build a sales team’) to Calendly founder Tope Awotona (‘How to bootstrap’) to Kleiner Perkins’ Bucky Moore (‘How to prep for Series A fundraising’), are making themselves available to answer your burning questions, on just about any topic.

What’s more — everyone who buys a ticket to TC Early Stage gets free access to Extra Crunch! Folks who buy a ticket to one of the two events get three months free, and folks who purchase a combination ticket (to both events) get six months free! An Extra Crunch membership includes:

Of course, TC Early Stage dual event ticket holders will get access to both events (April 1 – 2 and July 8 – 9) and have access to all the content that comes out of the event on demand.

Mercenary CEOs know all too well that this is about the most bang you can get for your buck. Period.

Still on the fence? Take a look at a preview of some of the sessions at TC Early Stage 2021:

Fundraising

  • Bootstrapping Best Practices (Tope Awotona and Blake Bartlett, Calendly)
  • Four Things to Think About Before Raising a Series A (Bucky Moore, Kleiner Perkins)
  • How to Get An Investor’s Attention (Marlon Nichols, MacVenture Partners)
  • How to Nail Your Virtual Pitch Meeting (Melissa Bradley, Ureeka)
  • How Founders Can Think Like a VC (Lisa Wu, Norwest Venture Partners)
  • The All-22 View, or Never Losing Perspective (Eghosa Omoigui, EchoVC Partners)

Operations:

  • Finance for Founders (Alexa von Tobel, Inspired Capital)
  • Building and Leading a Sales Team (Ryan Azus, Zoom CRO)
  • 10 Things NOT to Do When Starting a Company (Leah Solivan, Fuel Capital)
  • Leadership Culture and Good Governance (David Easton, Generation Investment Management)

Marketing:

  • Keys to Nailing Product Market Fit (Rahul Vohra, Superhuman)
  • How to Build Your Early Team for Future Growth (Sarah Smith, Bain Capital Ventures)
  • How to Get Into an Accelerator (Neal Sales-Griffin, TechStars)
  • Finding Your Product Market Fit (Sean Lane, OliveAI)
  • How To Use Coaches To Your Advantage (Ted Wang, Cowboy VC)



from TechCrunch https://ift.tt/3pZmEbP
via IFTTT

Comments

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT