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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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Crushing It With Competitive Intelligence Analysis: Best Metrics, Reports

Occam's Razor

. + Traffic Trends Key Metrics Analysis. Onsite Behavior Key Metrics Analysis. she will look at all her observations of other supermarkets on Earth, on other planets, and do her best to give your the best normalized, indexed, algorithm'ed number. Traffic Trends Key Metrics Analysis. Incoming and Outgoing Traffic.

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The 4 Types of Stories Founders Need to Tell When Fundraising

View from Seed

Are you aggregating and leveraging a competitive dataset none will be able to reproduce? Are you bringing an army of algorithm authors to attack a sleep non-technical industry? Because of insights A/B/C, if we build D/E/F, we’ll grow fast in markets J/K/L, and you’ll know we’re on the right path because of metrics that look like X/Y/Z.”

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25 Entrepreneurs Explain How They Came Up With Their Business Names

Hearpreneur

These 6 KRIs are The CHICAGO MetricsR and are the result of an aggregation algorithm based on any number of tactical metrics. Since basis of the company was to create, track, and report out on metrics it fit with the theme and the name, hence, CHICAGO MetricsR. Thanks to EdwardMarchewka, CHICAGO MetricsR ! #3-

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10 Product Recommendation Techniques to Improve UX and Conversions

ConversionXL

Nowadays nearly every online shop utilizes some sort of product recommendation engine, which is no wonder, as these systems, if set up and configured properly can significantly boost revenues, CTRs, conversions, and other important metrics. This is a very important metric when evaluating a recommender system.

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How Private Equity and Venture Capital Investors Are Eating Their Own Dogfood

David Teten

An investor had few hard metrics other than the actual financials, and little technology to make the process scaleable. Over the past few decades, better metrics became available, and investors could take a more analytical, data-driven approach. Why is it now more feasible to use technology in the VC investing process?

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How to Segment A/B Test Results to Find Gold

ConversionXL

The more well-known your company becomes, the harder it gets to directly impact primary KPI’s at the aggregate level because the majority of customers who buy are going to do so irrespective of if your button color is red or blue. In the same vein, consider a metric like ‘time on site.’. Image Source.

Chad 112