Remove Aggregator Remove Algorithm Remove Distribution Remove Vertical
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Requests for Startups in 2024

VC Cafe

I’ve recently come across several of such lists and I thought it could be useful to aggregate them and share them here. Programmatic investing using natural language – Using natural language or decision trees, consumers with no knowledge of code can build algorithms that execute trades for them.

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Get to Know Richard de Silva of Highland Capital

Both Sides of the Table

Yes an online video startup in ‘99 that helped large media companies encode and distribute their videos through portals. He is starting to see this occur in sites that are verticalizing content. It has become a short form premium destination that is verticalizing content in category channels. Startup after Iron Planet? (6:00

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Benchmarking Performance: Your Options, Dos, Don'ts and To-Die-Fors!

Occam's Razor

… You can see the wisdom of not just setting a 20% aggregate conversion rate, based on the above benchmarking data. The above graph shows you the dangers of setting targets on aggregated benchmarking analysis. And you also have, perhaps more useful, the industry wide acquisition strategy distribution.

Analytics 133
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Video Hosting Platforms: Which Is Best for Your Business?

ConversionXL

Many occupy the Featured Snippet box, with snippets selected algorithmically. But DailyMotion’s geographic distribution of users doesn’t mirror YouTube, especially within the United States. Of course, with Wisita, you must create the audience for your videos—there’s no inherent distribution network (unlike YouTube).

Hosting 127
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Heat Maps: What Are They Good For (Besides Looking Cool)?

ConversionXL

In 2010, Dr. Anne Aula, a Senior User Experience Researcher at Google, presented some disappointing findings about mouse tracking: Only 6% of people showed some vertical correlation between mouse movement and eye tracking. What about algorithm-generated heat maps? It’s a picture based on an algorithm—not actual user behavior.

Algorithm 111
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The Humanity of Our AI Future

thebarefootvc

Both hardware (such as sensors that interact with the environment to collect data) and software (the algorithms that are able to intelligently interact with humans or other machines) have become more sophisticated. This will require more processing power (potentially quantum computing) as well as more advanced algorithms.

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Lessons Learned: Sharding for startups

Startup Lessons Learned

For example, Friendster was famously vertically partitioned at one time in its growth curve. More common is to use a one-way hashing algorithm to map the data to be accessed to one of the shards that store it. This is great for something like a huge DHT or a distributed work queue. Key-based partitioning. to store it.