Peter Teneriello has been a career-long investor in the private markets. He has experience as an allocator across a range of institutional types, from wealth management firms to pensions and endowments, and helped launch the venture capital program for the Texas Municipal Retirement System. Other past experiences of his have included leading finance/operations for a venture-backed startup, in addition to vetting investments for a family office and working with their portfolio companies. Over the years he has also written about his investing experience on Medium and Substack. He is a graduate of the University of Notre Dame as well as the Kauffman Fellows Program, an executive education program focused on venture capital and innovation leadership. He wears many hats. You can find Peter on his socials here: Twitter: https://twitter.com/_PeterT_ LinkedIn: https://www.linkedin.com/in/peterteneriello/ And huge thanks to this episode's sponsor, Alchemist Accelerator: https://alchemistaccelerator.com/superclusters

OUTLINE:

[00:00] Intro [03:57] The origin of Peter's nickname [05:16] How was boxing formative to who Peter is today? [07:25] The art of the first conversation with a GP [11:46] How did TMRS deploy $1B into VC and PE annually? [19:45] Looking at the underlying portfolio of companies [24:06] How overlap in venture portfolios affect re-up decisions [26:55] Marks from an LP perspective [30:52] Qualitative vs quantitative information [34:45] Signal vs noise in the private markets [40:46] When Peter shaved his head in front of an entire lecture hall [45:09] The most recent update to the Peter OS [51:17] Thank you to Alchemist Accelerator for sponsoring! [53:53] If you enjoyed the episode, consider dropping a like, comment or share as it really helps me create content that is interesting to you Follow David Zhou for more Superclusters content: For podcast show notes: https://cupofzhou.com/superclusters Follow David Zhou's blog: https://cupofzhou.com Follow Superclusters on Twitter: https://twitter.com/SuperclustersLP Follow Superclusters on TikTok: https://www.tiktok.com/@super.clusters Follow Superclusters on Instagram: https://instagram.com/super.clusters