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There’s more to generative AI than picks and shovels

VC Cafe

As David Sacks from All in put it: On aggregate, a lot of funding was also deployed to startups in the application layer – investing in founders leveraging generative AI to either solve narrow tasks, or bring automation to tasks to reduce costs, increase accuracy, speed etc.

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Why diversity matters (the meritocracy business)

Startup Lessons Learned

Even the most radical Bell Curve -style thinkers have to concede that even if there are differences between men and women in the distribution of these traits on average, these curve have substantial overlap, and there should still be a lot more of them represented in high-tech startups. So why is demographic diversity important?

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Marching through quicksand

Startup Lessons Learned

One is explaining the world as it used to work: the importance of gatekeepers, the scarcity implied by limited distribution, and the resulting quality bar that the industry is so proud of. Mostly it is the time and expense required to create the means of distribution for that industry. It’s just taking some longer than others.

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Lessons Learned: Validated learning about customers

Startup Lessons Learned

It should be even more important to the founders themselves, because it demonstrates that their business hypothesis is grounded in reality. These founders have not managed, to borrow a phrase from Steve Blank , to create a scalable and repeatable sales process. More on that in a moment. They are close to breakeven.

Customer 167
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Why Startups Fail - 20 Top Reasons Gleaned from 32 Startup Failure Post-Mortems

www.chubbybrain.com

After a thorough analysis of those 32 start-up post-mortems, we have determined the common reasons founders gave to compile this list of the top 20 ways to have your startup fail. Work life balance is not something that startup founders often get and so the risk of burning out is high. 13 – Disharmony with Investors/Co-founders.

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Lessons Learned: Sharding for startups

Startup Lessons Learned

Using memcacheds multiget, which allows the fetching of many keys in parallel, I have written code to aggregate all the shard lookups for a given page and prefetch them, reducing the overhead even further. This is great for something like a huge DHT or a distributed work queue. The Lean Startup Intensive is tomorrow at Web 2.0.

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Predictive Analytics in 2018: What’s Possible, Who’s Doing It, and How

ConversionXL

Judah Phillips, the co-founder and CTO of Vizadata and founder of SmartCurrent , explained: We already live in a world of “real-time” predictive analytics. Teams know how many tickets were distributed; however, they do not know in “real time” how many people are in the venue or stadium during the event. The results?

Analytics 131