Nicolay Gerold

Accelerate backend apps at the edge with high-performance hardware

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Product

• Fewer jobs-to-be-done. Focus on just 1-2 jobs-to-be done that are shared by many clients. The more jobs, the harder to productize. You can always expand.


• Scalable access. Find and tap into high-quality talent channels. Mechanical Orchard did this with the Pivotal Labs network (CEO Rob Mee used to run that company). Where’s your leg up?


• Piggyb

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Menlo Ventures released a report on ‘The State of Generative AI in the Enterprise’ and found that adoption is trailing the hype. Details below:

Generative AI still represents less than 1% of cloud spend by surveyed enterprises, including just an 8% increase in 2023.

Safety and ROI continue to be prime concerns, and the tangible advantages of being... See more

Two ways for an AI company to protect itself from competition: (a) depend not just on AI but also deep domain knowledge about a particular field, (b) have a very close relationship with the end users.

As for your business idea, start small and test things out. Don’t just quit your job and jump into “doing business.” I hastily did that once when I was younger and failed miserably. But I also had enough time to recover. In that process, I learned a ton, which helped me immensely with my current situation. But in retrospect, that came with the... See more

Perception: taking in the sensations and focusing on them. Under the control of your attention. Two attentional spotlights are possible and you can dilute, concentrate your attention.

1. Scalability is crucial - systems need to be designed with the assumption that query volume, document corpus size, indexing complexity etc. could increase by 10x. What works at one scale may completely break at a higher scale.


2. Sharding the index, either by document or by word, is important to distribute the indexing and querying load across machines.

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The context size of the input is too small for when you want to analyse CSV's with 1000's of rows and embedding doesn't really work because it loses context.