Karin Klein

1.4K posts

Karin Klein

Karin Klein

@karinklein

Founding partner @BloombergBeta (prev @SoftBank). Championing #foundersfirst building the #futureofwork. ❤️ startups + all things East Coast.

Manhattan & Miami Katılım Mayıs 2009
1.2K Takip Edilen6K Takipçiler
Karin Klein
Karin Klein@karinklein·
In Gloria Steinem's living room again this week with @FortuneMPW, talking AI and leadership. One idea: this is a moment women are built for. Leading people and automation takes muscles many of us have used our whole careers: juggling, empathy, knowing what only humans do well.
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Karin Klein
Karin Klein@karinklein·
Big congrats to @Bluefish_AI 🐟 who announced a $43M Series B led by @thresholdvc & @NEA with @BloombergBeta continuing from the start. Attention is shifting. Bluefish makes it possible for advertisers to adapt. In <2 years, 10% of Fortune 500 are customers. Smart not to wait.
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Karin Klein
Karin Klein@karinklein·
Big congrats to @Bluefish_AI 🐟 who announced a $43M Series B led by @thresholdvc & @NEA with @BloombergBeta continuing from the start. Attention is shifting. Bluefish makes it possible for advertisers to adapt. In <2 years, 10% of Fortune 500 are customers. Smart not to wait.
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Harshita Arora
Harshita Arora@aroraharshita33·
The last ~1 year as a visiting partner at YC has been a lot of fun. I got the opportunity to work with some of the smartest and most optimistic builders. Super excited to join as a GP!
Y Combinator@ycombinator

We're excited to welcome Harshita Arora (@aroraharshita33) as YC's newest General Partner! She started coding at 13, built and sold her first app as a teenager, and later co-founded AtoB (YC S20), a Series C company building financial infrastructure for the trucking industry, now serving 30,000+ fleets—and became YC’s youngest Visiting Partner. Now she's bringing that experience to support YC founders. ycombinator.com/blog/welcome-h…

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Amy Tam
Amy Tam@amytam01·
When I talk to researchers at frontier labs and AI startups, our conversations almost always converge on the same bottleneck: data. Specifically: * finding real world datasets that reflect the tasks we want AI to perform * designing evals and benchmarks that accurately measure capabilities we care about * understanding which data actually moves the scaling curve Love seeing more focus on the data layer of the stack; excited to see what @withprotegeai builds with DataLabs!
Bobby Samuels@BobbySamuels

x.com/i/article/2030…

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Amy Tam
Amy Tam@amytam01·
New 2026 mission: Hang out in 50 startup offices by year-end in SF/Bay Area. Friends.. who’s got an open door? 😇 I don't use Twitter much, so please tag founders or teams with cool spaces!
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Protege
Protege@withprotegeai·
Today, we are thrilled to announce that @withprotegeai has raised a new $30M funding round led by @a16z. When @BobbySamuels and former @DatavantHQ co-founder and CEO Travis May first started Protege in 2024, we saw three bottlenecks to AI’s progress — compute, models, and data. Compute has scaled dramatically, models continue to improve, but access to the right data remains the hardest part. That’s why Protege exists: to be the infrastructure for real-world data in AI development. In the few months since our last round of funding, we’ve felt the urgent demand pull across industries, domains, and modalities. We are rapidly expanding to meet those needs. When AI builders come to Protege, they’re looking for real-world data: the most authentic signal of how people and systems actually behave. This is not synthetic data created by AI nor manufactured data created to simulate human behavior. Across every stage of the AI development lifecycle — from pre-training to post-training to fine-tuning to evaluation — AI builders need this data. They’re looking across modalities and industries: healthcare, video, audio, motion capture, gaming, manufacturing, life sciences, real estate, finance, education, and many more. Foundational, multi-modal model-builders (including the majority of the Magnificent Seven) now work with us across multiple domains along with dozens of other model builders. Thanks to @daisydwolf and the rest of the a16z team for joining us on this journey as well as our existing investors also participating in this round — @nbt at @footworkvc, @saarsaar at @CRV, @BloombergBeta, @flexcapital, Shaper Capital, and others. Lastly, a huge thank you to the @withprotegeai team for making this all possible. More details in 🧵! #AIDevelopment #DataInfrastructure #a16z #StartupFunding #Protege
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Amjad Masad
Amjad Masad@amasad·
Was fun seeing an elite athlete get into vibe coding because you could see the obsession build up and although we were supposed to shoot for 15 minutes he spent hours building things. Just generating ideas and trying them and he quickly got a feeling for what works.
Amjad Masad@amasad

Can @SHAQ vibe code an app with no coding experience? Vibe coding is easy to start with, but like any other skill, you can learn to master it. That’s why we partnered with @tadeoyerinde and the @campusgrad team to build Vibe Coding 101 for folks who want to master Replit.

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Amjad Masad
Amjad Masad@amasad·
Can @SHAQ vibe code an app with no coding experience? Vibe coding is easy to start with, but like any other skill, you can learn to master it. That’s why we partnered with @tadeoyerinde and the @campusgrad team to build Vibe Coding 101 for folks who want to master Replit.
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TBPN
TBPN@tbpn·
Founder & CEO of @Replit @amasad on the 1000x engineer: “The buzzword in Silicon Valley has been the 10x engineer. 2-3 years ago, I talked about the 1000x engineer, highly leveraged by autonomous agents." "You're not just one person, you’re a team of engineers. Every engineer is a sort of manager now." "We're not at 1000x yet. But pretty soon, the difference between a great engineer who knows how to use AI tools and an okay or good one is going to be 100x.”
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Karin Klein
Karin Klein@karinklein·
Curious how others are seeing AI change what people value most at work: creativity? connection? meaning? ??
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