abuteau

Yes, great albums!

Also really like the Milestones of a Jazz Legend - Jim Hall on Guitar Vol. 2 on Spotify https://open.spotify.com/album/5bwrg1BJvmtGEVxXmBvM2r?si=szA...

Mine is Some Other Time: The Lost Session From The Black Forest

I can listen to that album without ever getting tired.

Japan has amazing jazz artists!

One of my favorite jazz playlist on Spotify is The Rhythm of Japan https://open.spotify.com/user/rowanaboat96/playlist/7ciqeUtO...

Also worth exploring the World Jazz playlist: https://open.spotify.com/user/1231409117/playlist/5lgPIUHnf1...

Congrats on the launch!

Do you have any plans to release a NodeJs Driver?

On the employer side: Pretty tight, hard to find talent. On the employee side: It's good. Salary are OK considering the decent cost of living. The AI boom is helping bringing more options for smart and qualified people.

Feel free to email me if you have more questions, know some companies that are looking ;)

Hey justin, good stuff, two questions for you.

A- How is your approach different than Axiom Law [1]

B- Why did you decide to target lawyers vs. directly to startups like Clerky [2]

[1] https://www.axiomlaw.com/

[2] https://www.clerky.com/

They did the same with Uber https://www.uber.com/en-CA/drive/montreal/get-started/tax-re...

Good research, thanks for sharing. Kauffman has interesting content.

Can I drop you a mail, I would be interested to explore where its incorrect.

Also please remember that the survey simplifies the reality by putting everything in the same model of deal selection.

From a practical standpoint I have some VCs friends that use a model similar to this and others dont.

I'd say anticipated exit, comparable companies, competitive pressure and desired ownership play the role of social proof. For revenue, most likely related to the business model.

The interesting distinction in the report was between deal flow and deal selection. VCs care more about deal selection. For deal flow most of it is in their own network or through syndicates.

For the 90% fail 10% success you can look at exit multiples coupled with type of exit (M&A, IPO, failure).

My hypothesis is that most of them dont really have a proprietary deal flow and are unable to make great deal selection apart from the top VCs..

The way the data was structured is they were asked what is the MOST important factor (you can only chose one) whereas other parts of the survey were what are the important factorS.. Might create the confusion.

Agreed, I look at about 10 business paper a week and quality of statistical analysis is frequently missing. What I liked about this one is that they are pretty transparent on the methodology so you can see the surveyed VCs biases. They also cross check the sources with other data..

yes most likely confirmation bias which is in sync with their reported ability to outperform but they dont usually.. this was the shadiest part of the survey for me.. failure data looks similar to

Mostly ;)

Marc Andreessen wrote a good article on the layers of risks that VCs are looking into [1]. Most of them want to maximize the upside while minimizing the downside..

[1] http://pmarchive.com/guide_to_startups_part2.html

Hey op here, good feedback,

Yes factors do interact. However it was not really part of the survey.

One thing they had was the difference between most important factors and important factors

In the summary, I reported only the most important factors. If you look at the important factors here are the results, which show a bit the factors interacting:

Team 96% for early, 93% for late

Business model 84% for early, 86% for late

Product 81% for early, 60% for late

Market 74% for early, 69% for late

Industry 30% for early, 37% for late

Valuation 47% for early, 74% for late

Ability to add value 44% for early, 54% for late

Fit with the fund 48% for early, 54% for late

There are also other factors that will impact the companies valuation such as anticipated exit, comparable companies, competitive pressure and desired ownership.

For more a deeper analysis I think it would be interesting to see the survey applied to a scenario planning model like the team at the OS Fund did [1].

[1] http://osfund.co/the-osf-playbook/ [EDIT]: Formatting