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TechCrunch+ roundup: Crypto tax prep, no-code survey, 4 VCs discuss how to pitch them

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A photo of traffic heading in and out of San Francisco on highway 101 with the city skyline in the background.
Image Credits: alacatr (opens in a new window) / Getty Images

Fundraising is a highly specialized skill: unless you’ve started a business, worked in a non-profit, or perhaps defrauded someone, you won’t have much practical experience when it comes to convincing strangers to give you their money.

But startup-land is different: before a founding team can breathe life into their great idea, someone must first show investors exactly how that idea solves an existing problem and generates enough revenue that it’s worth the risk and paperwork.

Performing due diligence is critical, but it won’t give you all the information you need to approach a VC. For some, a LinkedIn DM may be an appropriate way to get their attention, but others may filter notes from unknown senders into their spam folder. Likewise, one investor may ask to review your deck in detail; another may prefer a probing one-on-one conversation.


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Poring over publicly-available information will not indicate exactly which kinds of deals they’re looking for at the moment. As markets shift, so will their focus — but there’s no way to know that after reading about a round they led last year.

To dispel some of these mysteries and learn more about where top VCs are searching for opportunities, I asked the following investors to share their thoughts:

  • Christine Choi, partner, M13
  • Arvind Gupta, partner, Mayfield Fund
  • Mike Ghaffary, general partner, Canvas Ventures
  • Sarah Kunst, managing director, Cleo Capital

Responses were varied, but I thought it was particularly notable that warm introductions aren’t necessarily more popular than cold emails. I’ll be talking to more venture capitalists and angel investors in the coming weeks, so watch this space.

Thanks very much for reading TechCrunch+!

Walter Thompson
Senior Editor, TechCrunch+
@yourprotagonist

How to pitch me: 4 VCs share what they’re looking for in March 2022

6 technologists discuss how no-code tools are changing software development

Photo of a verdant garden glimpsed through a jagged hole in a brick wall taken in Latina, Italy
Image Credits: Luca Lorenzelli/EyeEm (opens in a new window) / Getty Images

We’ve reported on the rise of no-code/low-code software for years, but since the pandemic began, they’ve taken on new importance.

Rapid digital transitions are taking place in an era where employees have become adept at working remotely and software developers are in higher demand than ever.

We interviewed six technologists to learn more about the impacts of no-code/low-code tools, minimizing technical debt and related topics:

  • Patrick Jean, CTO, OutSystems
  • Deb Gildersleeve, CIO, Quickbase
  • Zoe Clelland, vice president of product and experience, Nintex
  • Bruno Vieira Costa, founder and CEO, Abstra
  • David Hsu, founder and CEO, Retool
  • Trisha Kothari, co-founder and CEO, Unit21

6 technologists discuss how no-code tools are changing software development

IRS FUD: What you need to know about crypto taxes

18th of April desktop calendar page for US Tax Day isolated on white background. Easy to crop for all your social media or print sizes.
Image Credits: MicroPixieStock (opens in a new window) / Getty Images

Regardless of whether you’ve liquidated your crypto assets or plan to hodl until the heat death of the universe, if you made any profits last year while trading, the U.S. Internal Revenue Service would like to have a chat.

But some digging may be required to identify those taxable proceeds.

Because cryptocurrency exchanges aren’t SEC-regulated, “they’re not legally required to offer the same level of tax reporting that discount brokerages and custodians must provide to stock, bond and mutual fund investors.”

IRS FUD: What you need to know about crypto taxes

Your startup raised at 40x revenue. What’s it worth at, say, 6x?

Image Credits: Nigel Sussman (opens in a new window)

Are we in a bull market or a bear market?

The publicly-traded software companies that comprise the Bessemer Cloud Index saw “good growth during the pandemic,” reports Alex Wilhelm in The Exchange, but today, it’s lost almost “50% of its value since it reached record highs in late 2021.”

Last year, many software startups boasted of revenue multiples in double digits, which thrilled investors. “What are those startups going to do if they are worth not 100x their recurring revenue, but, say, 8x?” asks Alex.

Your startup raised at 40x revenue. What’s it worth at, say, 6x?

Dive deep into Snorkel.AI’s pitch technique that raised $135m

Image Credits: Greylock / Snorkel AI

Since launching in 2019, Snorkel.AI co-founder and CEO Alex Rather has raised $135 million across four rounds.

“I was a pitch deck nerd even before giving a real pitch deck,” Ratner said on a recent episode of TechCrunch Live.

Storytelling comes up frequently while discussing startup pitch strategy: investors are only interested in entrepreneurs who can convey a holistic understanding of their market and the problem they’re trying to solve.

“To be candid, the startup just needs to get this right,” said Greylock partner Saam Motamedi, who led Snorkel.AI’s $3.3 million seed round. “These are the two things we look for at seed and Series A.”

Dive deep into Snorkel.AI’s pitch technique that raised $135m

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Intuitive Machines made history when it became the first private company to land a spacecraft on the moon, so it makes sense to adapt that tech for Mars.

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Blue Origin’s New Shepard rocket will take a crew to suborbital space for the first time in nearly two years later this month, the company announced on Tuesday.  The NS-25…

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This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

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In the coming months, Google says it will open up the Gemini Nano model to more developers.

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As part of the update, Reddit also launched a dedicated AMA tab within the web post composer.

Reddit introduces new tools for ‘Ask Me Anything,’ its Q&A feature

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Here’s everything Google just announced

LearnLM is already powering features across Google products, including in YouTube, Google’s Gemini apps, Google Search and Google Classroom.

LearnLM is Google’s new family of AI models for education

The official launch comes almost a year after YouTube began experimenting with AI-generated quizzes on its mobile app. 

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Around 550 employees across autonomous vehicle company Motional have been laid off, according to information taken from WARN notice filings and sources at the company.  Earlier this week, TechCrunch reported…

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The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

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Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.

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Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.

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Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.

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In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.

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The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.

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Google says that over 100,000 developers already tried the service.

Project IDX, Google’s next-gen IDE, is now in open beta

The system effectively listens for “conversation patterns commonly associated with scams” in-real time. 

Google will use Gemini to detect scams during calls

The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.

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This is a great example of a company using generative AI to open its software to more users.

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