@omarsar0: SF isn't a requirement to build a great AI company. I work with builders around the world, and location matters less th…
Summary
A tweet argues that building a great AI company does not require being in San Francisco, using the example of Viktor, an AI employee built in Europe serving 20K+ teams with a $20M run rate.
View Cached Full Text
Cached at: 07/07/26, 04:14 AM
SF isn’t a requirement to build a great AI company.
I work with builders around the world, and location matters less these days.
Viktor is proof: an AI employee serving 20K+ teams at a $20M run rate, built in Europe and backed by Accel. Build from where you are. @viktor__com
Similar Articles
@GergelyOrosz: From a Head of Engineering who spent a week in SF, meeting a bunch of AI startups: "When I was back, I wrote a memo abo…
A Head of Engineering shares impressions from meeting AI startups in SF, warning that many lack a business model, and advises established companies to be cautious in copying their practices.
@brianchew: Singapore is the new SF
A tweet highlights the AI Engineer Singapore conference, arguing that the necessity of being in San Francisco to build in AI is fading, with hubs emerging globally.
@omarsar0: Great essay by Tobi. Building an AI-native company? Go read it now. I couldn't resist visualizing it with my artifact g…
A tweet sharing and visualizing Tobi's essay on building AI-native companies, highlighting the risk that nobody learns from AI doing the work.
@charliewarren: https://x.com/charliewarren/status/2062204573549490516
The article discusses the challenges of building AI native service companies, emphasizing that reducing variance in work quality is critical for trust and scale, more so than operating leverage alone.
@omooretweets: Today was a great reminder that SF is the worst and everyone here is in full existential crisis
A tweet criticizing the mood in San Francisco's tech scene, highlighting the extreme wealth divide among employees at major AI companies like Anthropic, OpenAI, xAI, Nvidia, and Meta.