CM Weekly: SaaS Stats, AI Revenue, Startup Employee Compensation
Chris McCann's weekly newsletter on technology, startups, and venture capital.
We're hosting a summer social at our new Race Capital San Francisco office this coming Wednesday. If you're around come join us.
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Written by Chris McCann, General Partner @ Race Capital. More about me.
🗞️ Interesting Reads
Databricks (a Race Capital portfolio company) is growing 2x as fast as Snowflake and faster than most companies that went public recently.
A look into why Amazon's Alexa is so behind on the digital assistant race.
An analysis on the Cruise crash that got them kicked out of SF. Many implications for self-driving cars and AI safety systems as a whole.
How one VC gives “compensation” to CISO’s to buy his startups products.
A critical take on LLMs applications within the search domain.
Stats on SaaS. TLDR: Confluence was the #1 used SaaS app, Salesforce is #2, Tableau is #3.
With the spend on AI chips being so large, the question is where is the downstream revenue going to come from to make up for all the Capex expenditures?
Data on what the first 10 employees at a startup make on average in terms of equity compensation
Tips for building long term investor relationships
🔥 Startup Jobs
By Company: Databricks, GoodNotes, Zeet, Opaque, Lightning Labs, OtterTune, and more
By Role: Engineering, Data Science, Product, Design, Operations, Finance, Legal, and more
By Location: SF Bay Area, New York, London, and Remote
Browse more open roles across our portfolio at Race Capital's Portfolio Job Board.
This newsletter goes out to a wide membership base of founders, technologists, investors, and operators. Feel free to share with others, sign up here: Substack | LinkedIn Newsletter