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TechCrunch+ roundup: #OpenToWork reality check, deck-free pitching, ARR growth lessons

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Image Credits: Diane Bentley Raymond (opens in a new window) / Getty Images

Annual recurring revenue is a critical health metric for any subscription-based business.

Calculating ARR is easy, but it’s a hard number to budge, as it’s a direct reflection of how well a startup is doing in terms of product-market fit.

In his latest column, Sales Kiwi co-founder and TC+ contributor Jonathan Martinez shared five essential takeaways that he learned along the way to reaching $1 million ARR. Lesson one?


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“I never tested more than two paid channels at a time, which is how I was ultimately able to unlock acquisition for my team,” writes Jonathan.

“This applies for all forms of growth, so if you’re trying to unlock lifecycle marketing, don’t also put efforts into unlocking four paid channels at the same time.”

Martinez goes well beyond basic best practices: drawing from experience, he explains how he deals with meeting overload and why “performance consultants are golden” if you want to scale quickly.

Thanks very much for reading!

Walter Thompson
Editorial Manager, TechCrunch+
@yourprotagonist

5 growth lessons I learned while scaling from $0 to $1M ARR

How you invest your time is just as important as how you invest your money

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Image Credits: Federico Morando (opens in a new window) / Getty Images

How and where do VCs find startups to back when they are first starting out with investing?

In an excerpt from her new book “Breaking into Venture,” SemperVirens General Partner Allison Baum Gates revisits her early days as an investor, when establishing deal flow and networking were skills she’d yet to acquire.

Drawing from the early chapters of her book, this post includes a target prospect list for new investors, along with relationship-building advice from experienced VCs.

“You can spend a lot of time searching for something, but if you’re looking in the wrong places, you’ll never find it,” she writes.

How you invest your time is just as important as how you invest your money

Who’s #OpenToWork? A tale of two labor markets

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Image Credits: Sebastian Gorczowski (opens in a new window) / Getty Images

Talented software engineers are generally in demand, but could adding #OpenToWork to a LinkedIn profile actually work against people who are hoping to change jobs?

Job platform interviewing.io examined job applicants’ test interview pass/fail rates cross-referenced with whether they’d added the hashtag to see if it’s a positive or negative signal to employers.

“We also made sure to check their LinkedIns twice: once in early 2021, when there were practically no tech layoffs, and again in early 2023, in the wake of the worst round of tech layoffs since 2001.”

Should you post that you’re #OpenToWork? A tale of two labor markets

Generative AI’s future in enterprise could be smaller, more focused language models

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Image Credits: © Marco Bottigelli / Getty Images

The large language models that brought us the Pope’s puffy coat and other delights learned how to respond to human prompts after studying unfathomable amounts of text.

But, “what if each industry or even each company had its own model trained to understand the jargon, language and approach of the individual entity?” asks enterprise reporter Ron Miller.

A number of companies are building smaller large language models (sLLMs) that could create “more accurate and tailored content,” he writes.

“This represents a huge opportunity for the startup community, and we are seeing lots of companies with a head start on this idea.”

Generative AI’s future in enterprise could be smaller, more focused language models

Do you need a deck to raise from VCs? Not always.

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Image Credits: GlinskajaOlga / Getty Images

“A lot of founders start by sending a deck, but honestly I hate that and I’ve never done that in my life,” says Svix CEO Tom Hacohen.

In an interview with Haje Jan Kamps, Hacohen explains how he successfully raised a round from Andreesern Horowitz without preparing a traditional pitch deck that ticked all the boxes.

“I want to tell a compelling thing at my own pace. And a deck with information doesn’t do that,” says Hachocen. “Another part of this is that I’m a solo founder, and I just don’t really have time to make a deck.”

Do you need a deck to raise from VCs? Not always

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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.

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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.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

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

Google TalkBack will use Gemini to describe images for blind people

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

Google’s Circle to Search feature will now be able to solve more complex problems across psychics and math word problems. 

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People can now search using a video they upload combined with a text query to get an AI overview of the answers they need.

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A search results page based on generative AI as its ranking mechanism will have wide-reaching consequences for online publishers.

Google will soon start using GenAI to organize some search results pages

Google has built a custom Gemini model for search to combine real-time information, Google’s ranking, long context and multimodal features.

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At its Google I/O developer conference, Google on Tuesday announced the next generation of its Tensor Processing Units (TPU) AI chips.

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