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Here’s a roundup of interesting startup links I came across today:

Why $1-10M ARR is the Hardest

Most founders think the hardest part of growth is getting to the first $1M. Martin Roth’s story is a reminder that a revenue leader’s job doesn’t get any less challenging as a startup scales—it gets harder in many ways, easier in some, and most importantly, what it takes to win changes radically.

You know me. I always love when startup founders get back on the startup path and start building something new. Experience matters. Even if it’s a whole new AI world. And that’s why I’m excited to see Nat Parker — cofounder and CEO of successfully exited GlobeSherpa — start something new. Meet CleanHaus.

Typical startup accelerator programs usually have an average of 10 startups in a single cohort. The Oregon UAS Accelerator…? Slightly more for this batch. They just revealed the 34 companies that will be participating in this round of the unique startup accelerator program focused on the flight facility in Pendleton, Oregon.

Here’s a roundup of interesting startup links I came across today:

The Shape of Artificial Intelligence – by Alberto Romero

We are the earliest historians of this weird, elusive technology, and as such, it’s our duty to begin a conversation that’s likely to take decades (or centuries, if we remain alive by then) to be fully fleshed out, once spatial and temporal distance reveal what we’re looking at.

Here’s a roundup of interesting startup links I came across today:

Why Do A.I. Chatbots Use ‘I’? – The New York Times

Shneiderman and a host of other experts in a field known as human-computer interaction object to this approach. They say that making these systems act like humanlike entities, rather than as tools with no inner life, creates cognitive dissonance for users about what exactly they are interacting with and how much to trust it.

Here’s a roundup of interesting startup links I came across today:

These Startups Went From Zero To Unicorn In Under 3 Years

Predictably, it’s an AI-centric group. The three most highly valued among recently funded unicorns founded in the past three years — xAI, Mistral AI and Safe Superintelligence — are all generative AI companies. Overall, a whopping 36 out of the 46 companies on the list are in AI industry categories.

Here’s a roundup of interesting startup links I came across today:

Tiger Global’s risky billion-dollar investments in global tech startups – Rest of World

The New York-based hedge fund and venture firm had earned a global reputation for its fast-paced, “spray-and-pray” style of investing, writing giant checks far and wide in hopes that a small number of them would yield outstanding returns. Tiger rarely took board seats, assumed a hands-off approach to oversight, and while it invested in companies at all stages of their life cycle, it became known for driving up company valuations in late-stage deals. In 2021, it was the most prolific venture investor in the world, striking nearly one deal a day. That year, it closed a $6.65 billion fund. By the following year, it raised nearly double that amount, closing — and promptly spending — a $12.7 billion fund in early 2022.

The Portland startup community has its fair share of “firsts.” Those early concepts — from coining “Web 2.0” to the earliest versions of what would become SaaS — didn’t always translate into success, but they played a crucial role on the pathway to continued innovation. Fintech is no different. Portland was home to one of the very first startups that would become commonly known as “neobanks.” And it continues to rethink how people interact with money on a regular basis. And so it should come as little surprise that one of the leading neobanks, Mercury, has a presence here. And Portland-based product manager Alexey Likuev has some news.