Perspectives
Will AI regulation help or hurt startups?
Instead of pushing forward overly broad AI regulations (even if perceived as “sensible”), we believe government institutions should define regulations that are custom tailored to individual industries.
For example, it’s very obvious that we should have regulations that provide robust transparency and effectiveness criteria for AI-powered medical interventions. Similarly, we could define a set of regulations that impact automobile safety, criminal justice, financial services, etc. In each of these domains, we can define specific risks and desired outcome rubrics to evaluate AI’s impact. But an AI platform to improve CRM analytical insight… does that really require new regulations?!
AI technology is increasingly so broad and will be applied in so many domains that trying to define a single set of of all encompassing regulations will likely just cause confusion and slow down innovation. A small case in point - Apple has delayed releasing Apple Intelligence in the EU-market until they receive clarity.
We believe targeted industry-specific regulations will provide greater actionable clarity.
Related, we have to be mindful of “big tech” pushing regulations that may put them at a market advantage. Startups don’t have the same level of resources to tackle onerous compliance, regulatory reviews and / or documentation. As such, regulations do pose a risk of consolidating power into the largest tech companies, which could stifle long term innovation and harm our innovation economy.- Read more
What is an agent?
Just like autonomous vehicles have levels of autonomy, we can also view agent capabilities as a spectrum.
Expedition Behavior as Corporate Culture
A startup is much like a mountain expedition. We were reminded of this when a friend shared these core attributes of "expedition behavior" as taught by the National Outdoor Leadership (NOLS) program. Founders, this should be your model for building a positively impactful work culture.
Serve the mission and goals of the group.
Be as concerned for others as you are for yourself.
Treat everyone with dignity and respect.
Support leadership and growth in everyone.
Respect the cultures you contact.
Be kind and open-hearted.
Do your share and stay organized.
Help others, but don’t routinely do their work.
Model integrity by being honest and accountable.
Say yes and deliver, or say no clearly if you cannot or will not do something.
Resolve conflict in a productive manner.
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AI Business Defensibility
Despite the hype, algorithms, models and AI technology by themselves are not enough to create an industry leader. There are several characteristics and qualifiers that should be considered as it relates to business defensibility and viability.
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The Triumph Of Customer Capitalism
Customer capitalism isn’t merely a suggestion as to how firms measure their success. As with the Copernican Revolution in astronomy, embedded within customer capitalism is a different vision of how the world works.
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Minimum Viable Secure Product
MVSP is a minimalistic security checklist for B2B software. Designed with simplicity in mind, the checklist contains only those controls that must, at a minimum, be implemented to ensure a reasonable security posture.
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7 Traits for Founders & CEOs In Transition
Doug Levin, founder, CEO & investor, shares his perspective on career transitions, including leadership dynamics within your own startup. The evolution from founder to executive can be fraught and Doug's approach is a helpful framework as you consider your own evolution.
What is the "right" amount of data?
Data, per se, and access to actionable insights about customers, markets, and performance, have long been viewed as highly valuable assets capable of enabling outsized market performance and potentially creating defensive “moats” for emerging companies. For those reasons, we see continually increasing emphasis on the ubiquity of sensors in hardware and machines and associated software applications, the deployment of computer vision in locations and facilities, automation in data collection and the application of intelligent learning algorithms for analysis of these new data streams, just to name a few areas. No doubt, this will continue. But we have also come to realize that a company’s superior understanding of data scale effects and their impact on product viability and optimization can be key to a company’s success.
More specifically, understanding the “minimum viable data set” required to create value initially and how to effectively obtain it, and then understanding the “tipping point” at which the cost of additional data accumulation is not worth the incremental value, can each be keys to the creation of successful emerging businesses. Put simply, “more” data is not always better or needed, and in fact can be counterproductive. “Enough” data is required at the outset to yield initial dependable insights for a viable product. And “sufficient” data is required for a complete and mature product, to be sure. But understanding how much data is “enough” to create value at each stage -- and how to get it -- is rapidly becoming one of the key core competencies for emerging companies. And a program simply of ever-increasing data accumulation may result in cost and inefficiencies in analysis that outweigh the incremental value, if any, of an expanded data set.
The “right” amount of data varies by industry, by the nature of the solution, and by stage. We see this directly in sectors such as digital health, logistics, future of work, and even industrial manufacturing and safety. How teams solve these data equations and how they execute against the answers they find will be increasingly major factors in determining their success.
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VentureFizz podcast interview with Andy & Bob
A fun podcast interview on our own experiences as founders and executives. We hope a few tidbits are helpful to founders seeking their own path on the entrepreneurial journey and we share some perspective on Argon.
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Product Led Growth
We are big believers in Product Led Growth and used many aspects of this discipline during our time at Brightcove. We appreciate the leadership our friends at OpenView have brought to PLG and this primer provides great background for those interested to learn more.
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We Represent the Whales
VC: An American History by Tom Nicholas famously describes the New England whaling industry as the precursor to the modern venture capital industry. But that metaphor didn’t sit right with me, at least as far as Argon is concerned.
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The Case for Early International Expansion
Young companies are now able to enter international markets at increasingly early junctures and they -- and their shareholders -- are able to reap extraordinary benefits and competitive advantages by doing so.
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Weathering Crises and Increasing Diversity in Venture Capital
An interview of Bob by Schyler Alexandra Cole host of VCedia, an inclusive dialogue on funding and creating a better future. We cover topics on Bob's experience being part of the founding of two startups and growing them through two IPOs. How he looks at startup investment opportunities and a discussion on the challenges that diverse, emerging VC General Partners have when launching a new fund.
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Venture diversity is burdened by the unnecessary need for wealth
At present, one needs to be wealthy to raise a new venture fund. This is an unnecessary structural barrier that materially limits the opportunity for new GPs, new funds, new perspective and new opportunity. With resulting downstream effects of less funding to underrepresented minorities.
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Discovery in the age of AI chatbots
In the age of “Open Search” our society benefits from a radical marketplace of products and services that support our ability to explore and go off on far tangents. In a world of hyper-productivity, powered by AI, will we lose the opportunity to stumble upon unexpected surprises? Instead of narrowing my options toward a hyper-rational world, I would love to see systems that leverage AI to augment my discovery for the new and different.
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Culture in the Early Startup
Beer on Tap, No Meeting Thursdays and Foosball are simply shallow aspects of company culture and are less important than the character and intent behind the venture. The most important characteristic of company culture is answered through the question of Why. When I get to know founders, I often ask them “Out of everything in the world you could be doing, why this company? Why now?” Each individual you seek to join the team will fundamentally ask themselves these same questions.
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Alignment through Growth
It’s important to recognize when your company hits a new step-function of “communications complexity” and evolve your forums for information sharing. Obviously how you align a team that fits in the same room is going to be very different than when you grow specialized teams, add more leaders, remote offices open, etc.
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The diminishing power of influence
I’ve always avoided being a manager. For nearly two decades, in the course of my professional career, being a manager has never held interest. Upon reflection my personal directive to avoid management has had the most to do with a desire to evade confrontation and conflict. My conscious effort to avoid management, to rely upon influence, established a situation where I lacked real authority as both companies scaled. It seems obvious in retrospect, but despite extending great effort purely through influence, I now recognize its impact diminishes in relative proportion to organization size.