Day Zero: Always Learning

Builder and 2X Entrepreneur. Always Learning. Musings about entrepreneurship, the cloud, and the rest of the world. Mostly centered around entrepreneurship, leadership, technology, the cloud, and SaaS.

The hottest Substack posts of Day Zero: Always Learning

And their main takeaways

The Software Rebel: How Innovaccer Defied Silicon Valley's Anti-Services Doctrine and Won

426 implied HN points • 09 Dec 24
💼 Business Startups Software Entrepreneurship Technology Investment
  1. Businesses need to combine services with software to succeed. This mix can help them understand their customers better and create real value.
  2. Learning and adapting quickly is key to success. Companies should capture knowledge from each project to improve their services over time.
  3. The future of enterprise software lies in using AI and human expertise together. This way, businesses can create smarter solutions that really solve problems.

Latest from AI Roller Coaster: Disruptive Nausea

85 implied HN points • 21 Oct 24
🕹 Technology AI Startups Infrastructure Investment Workforce Business Models
  1. AI infrastructure is getting super crowded and costs are rising, which may lead to a shake-up in who leads this space. Companies need to find new angles to succeed, like offering something unique or targeting a niche.
  2. AI observability is a hot trend right now, with many startups focusing on helping businesses check if their AI models are really working. Measuring success with AI tools is still a big challenge that needs to be figured out.
  3. The way companies operate is going to change a lot because of AI, creating a mix of specialized skills and generalist abilities. Traditional roles may get transformed or even replaced as companies rethink how they do business.

Fishing for AI Ideas: A Guide to the Modern (Artificial) Fishery

0 implied HN points • 08 Nov 24
💼 Business Startup Strategies Investment Trends Market Analysis Technology Integration
  1. AI infrastructure is mainly dominated by big companies, so there's room for growth in areas like real-time systems and multimodal models. If you're looking to innovate, think outside the box and explore MLOps.
  2. To create useful AI solutions, focus on new workflows that disrupt traditional methods. Businesses need tools that drastically improve efficiency, especially in areas like risk assessment and new data modalities.
  3. Vertical AI, especially when combined with services, can be very profitable. Industries like restaurants can benefit from AI that enhances operations and customer experiences, leading to significant cost savings.