Squirrel Squadron Substack

The Squirrel Squadron Substack blends insights on technology, leadership, and management, targeting tech and non-tech executives. It emphasizes collaboration between humans and AI, encourages questioning norms, and seeks to enhance team dynamics and innovation through strategic experimentation, intelligent disobedience, and understanding the business value in tech initiatives.

Technology and Innovation Leadership and Management Team Dynamics and Culture Strategic Planning and Execution Artificial Intelligence and Human Collaboration Software Development and Engineering Practices Product Management Business Strategy and Value

The hottest Substack posts of Squirrel Squadron Substack

And their main takeaways
1 HN point 01 Jun 23
  1. Computers and humans work best together, not separately.
  2. When using AI, consider the computer as a 'method actor' in conversations.
  3. Incorporate humans in the loop with AI for better results, especially in operational processes.
0 implied HN points 07 Jan 25
  1. Learning through experimentation is key to understanding complex problems. Just like playing a game, you need to try different approaches to find what works.
  2. In product development, there are guidelines but no strict rules. It's important to keep adjusting your methods based on what you discover during the process.
  3. Don't expect smooth and easy paths to success in tech. Expect to face challenges and changes, and use them to refine your strategies.
0 implied HN points 07 Jan 25
  1. It's best not to let AI talk to customers directly, as this can lead to funny but unprofessional mistakes. Keeping AI behind the scenes helps avoid embarrassing situations.
  2. Be cautious about ownership of what AI creates. It's important to have a backup plan if the AI's content turns out to belong to someone else.
  3. Always double-check what AI tells you. AI can produce boring or incorrect information, so having a human oversee its work can help keep things interesting and accurate.
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0 implied HN points 07 Jan 25
  1. Experimentation is key to learning. Just like early aviators learned from their crash attempts, businesses can benefit from trying new things and learning quickly from failures.
  2. SpaceX took more risks and embraced failures, which helped them succeed faster. They learned from their explosions, while Boeing took a safer approach and faced delays and high costs.
  3. In software development, mistakes can be less costly than in aerospace. Companies should feel free to experiment and gather feedback from users to improve their products, just like SpaceX does.
0 implied HN points 07 Jan 25
  1. People have two main mental roles: the Thinker, who comes up with ideas, and the Prover, who searches for proof of those ideas. It's important to realize that the Thinker leads the way.
  2. If you want to persuade someone, focus on connecting with the Thinker first. This means building trust and understanding their feelings rather than just presenting facts.
  3. When trying to sell a product or convince a team, emotional storytelling can be more effective than logical reasoning. People often need a narrative that resonates with them before they look for evidence.
0 implied HN points 07 Jan 25
  1. When faced with too many demands, focus on solving the customer's most important problems first. It’s better to tackle what's truly necessary rather than trying to please everyone.
  2. Communication is key. A skilled account manager can help manage expectations and guide clients toward what they actually need instead of what they want.
  3. It’s important to distinguish between essential requirements and nice-to-have features. This clarity can help teams deliver projects successfully and on time.
0 implied HN points 07 Jan 25
  1. Smartphones today have much more power than computers from just 25 years ago. This shows how quickly technology improves, with more parts being added to chips every few years.
  2. There’s a slowdown coming in AI growth because we need special, big computer systems to run these complex programs. As we reach limits in technology, we might have to focus more on improving software instead of just making computers faster.
  3. Even though AI is advancing quickly, there are challenges like the lack of special chips and the environmental impact of new data centers. This means the future of AI development might not be as fast as we expect.
0 implied HN points 07 Jan 25
  1. In emergencies, everyone looks to others to act, so it helps to designate someone in charge to break the inaction. This was seen when a bystander gave orders at an accident scene, leading to quicker help for the injured.
  2. Teams often struggle with accountability because they wait for someone else to take responsibility. Setting clear roles and deadlines can help prevent this issue.
  3. Encouraging a culture where everyone feels empowered to take initiative is important. The key is to reward those who step up, as taking action is better than doing nothing at all.
0 implied HN points 07 Jan 25
  1. Some businesses may look good from the outside but can be ineffective or even fronts for illegal activities. It's essential to look deeper to understand their true operations.
  2. Large organizations often struggle to innovate because new ideas can threaten their current success. This results in a culture that rejects new inventions.
  3. Investments in new 'innovation centers' often serve to make companies look good, rather than genuinely foster innovation. This leads to a lot of effort going into appearances rather than actual progress.
0 implied HN points 11 Dec 23
  1. Having the right instruments in your tech projects is crucial for staying on course.
  2. Key instruments to track progress include radar system, glidepath indicator, stall warning, ground proximity warning system, and cabin CCTV.
  3. Many teams and projects are not monitoring all these key indicators, leading to potential issues.
0 implied HN points 25 Oct 23
  1. Software engineering teams should bring excitement and fun to the workplace to motivate developers and increase creativity and profitability.
  2. In complex systems like software, relaxation and fun can lead to better problem-solving and creativity.
  3. Encouraging experimentation and taking appropriate risks can lead to innovative solutions and success in technology teams.
0 implied HN points 26 Nov 23
  1. Don't focus on having perfectly accurate data; multiple sources of truth are beneficial.
  2. Even with noisy and conflicting data, successful outcomes are possible, as seen with the Apollo 11 landing.
  3. Embrace inconsistent information and make decisions based on the bigger picture, like looking out the window, rather than getting bogged down in details.