Entry Level Investing

Entry Level Investing is a Substack focused on exploring the evolution of investing and the impact of AI on businesses, markets, and infrastructure. It covers topics from AI innovation techniques and investment strategies to market trends, offering in-depth analysis of disruptions, opportunities, and the future of AI-driven industries.

AI and Machine Learning Investment Strategies Market Trends and Analysis Startup Ecosystem Tech Industry Disruptions Venture Capital Funding Corporate Governance Public and Private Markets Natural Language Processing Open-Source Business Models

Top posts of the year

And their main takeaways

What are the implications for startups in a post-DeepSeek world?

117 implied HN points • 03 Feb 25
💼 Business Startups Investing AI Market Trends Technology
  1. Big tech companies are best at pushing AI technology forward because they have the resources. Startups may struggle to compete in this area.
  2. Selling AI models alone isn't a good business strategy anymore. Prices are dropping due to easier replication by other companies.
  3. There's a huge opportunity to build AI applications right now. With better models available, startups can create innovative products that solve real problems for customers.

What even is a data asset?

16 implied HN points • 10 Dec 24
💼 Business Investing Technology AI Data Startups
  1. AI companies are focusing more on improving data instead of just making bigger models. They realize that using better, unique data can give them an edge.
  2. Having unique data, known as a 'data asset,' means owning valuable information that others can't easily get. This can be essential for success in AI.
  3. Startups are finding creative ways to gather exclusive data, like partnering with others or creating synthetic data. This helps them stand out in a crowded market.