getlatka.com is a SaaS Database, which contains data from over 1,000 manual interviews with CEO's of SAAS (Software as a service) tech companies.
The data we harvested is all publicly available and in the link below. At the time we harvested the data there was a statement on the website that said "You are only seeing a very small percentage of data. Click here to unlock it all and export." It was also stated that there are 1,082 companies in the database. The dataset we have contains 606 rows. So we have 56% of the available data.
The dataset is rare in that the information is all manually generated and contains metrics on private companies typically not publicly available. Having listened to a few of the podcasts it's surprising that Nathan Latka is able to get this information out of these CEO's. Some metrics include Number of Customers, Revenue, Churn Rates, Customer LTV and CEO Age and much more.
Based on the information in the dataset (which can be easily viewed here on Kaggle), we defined "Success" as
financials.arr_min (minimum annual recurring revenue). We then looked at how success varied with respect to various characteristics about the CEO's in the dataset.
The data seems to indicate that CEO's tend to be more successful if they:
Some other interesting statistics:
CEO's that are older tend to do better, This is expected given older CEO's likely have more experience, capital and connections to draw from.
One problem with looking at the univariate relationship between revenue and age is that younger CEO's haven't had time for their companies to grow. However, if we control for Years in business we get a similar result, older CEO's still do better although the relationship is less marked. This goes against the stereotype that tech companies are for the young.
CEO's that are married tend to do better. This aligns with general findings about salaries of married professionals.
Controlling for years in business we get a similar result. It therefore seems unlikely that these CEO's are only getting married because they are successful.
CEO's that have children tend to do better. The stakes are higher when kids are involved so maybe this acts as motivation for CEO's.
Controlling for years in business results are a little mixed suggesting that having kids due to success is potentially at play here also.
CEO's that sleep less tend to do better. This would make sense given that they have more hours in their day. The highest revenues come in with those that sleep between 6 and 7 hours.
The relationship here is somewhat inconclusive with a p-value of (0.87). Although things seem to be edging in favour of less sleep.
The data includes who the CEO's favorite CEO was. Elon Musk is the clear winner.
The data includes what the CEO's favorite tool was. Slack is the clear winner.
|CEO Favorite Tool||Count||Percentage|
The data includes what the CEO's favorite book was. The Hard Thing About Hard Things is the clear winner.
|CEO Favorite Book||Count||Percentage|
|The Hard Thing About Hard Things||37||6.61%|
|Good To Great||24||4.29%|
|Zero to One||19||3.39%|
|Crossing the Chasm||7||1.25%|
|High Output Management||6||1.07%|
They also asked the CEO's to give a piece of advice. This was a little tricker due to high sparsity. We removed stop words and punctuation to get the following.
|start company faster||3||0.55%|
|dont take seriously||2||0.37%|