Entrepreneur & early-stage VC @matrixvc

Joined September 2010
38 Photos and videos
Pinned Tweet
23 Jan 2023
Interchange in 1,000 words (aka the guide I wish I had starting out in fintech) mtb.xyz/notes/interchange-in…
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Suno has raised over $400M, led by @bondcap, to keep bringing creative fulfillment to people everywhere. We’re excited to welcome new investors including @IVP, @usv, and @ForerunnerVC , and grateful for the continued support of @matrixvc , @lightspeedvp, @MenloVentures, and Schroders Capital suno.com/blog/series-d-annou…
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The Context Acquisition Company (CAC). We are a holding company acquiring services firms for their tokens in order to build domain specific agents/ models to deploy into our platform businesses and beyond. There's $1T hidden in the computers. We're gonna get it out.
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Normal Californians: This is the guy
San José Mayor Matt Mahan has seen his odds to become the next California Governor more than double in the last 48 hours from 6% to 14%. He’s in second place behind Tom Steyer (53%)
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"Man is the lowest-cost, 150-pound, nonlinear, all-purpose computer system which can be mass-produced by unskilled labor." (NASA, 1965) Every job is an OODA loop. AI doesn't replace the loop, but unbundles it into sub-functions. The most valuable ones are irreducibly human, and the smart companies are building for rather than against the 150-pound computer. Here’s how:
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But the exception pool never hits zero. The frontier moves. Automate today's exceptions and you unlock problems you couldn't touch before. The human works on increasingly valuable problems. Value accrues at the AI human layer.
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Big news for @conductor_build! We've raised a $22m Series A from Spark and Matrix. We raised this round from @ilyasu at Matrix, who also led our seed round and is joining our board, @nabeel at Spark, @ycombinator, and founders of Notion and Linear. We're grateful to be working with investors we trust and admire. Here’s how we got here and where we’re going:
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1/ One of the few "moats in the AI era" posts actually worth reading TL;DR - "Hard" fintech (regulated, built on historical performance, deals with complex licensing) just got *more* valuable in a world of abundant software From @Mattbrown - notes.mtb.xyz/p/fintechs-moa…
"Fintech's moats don't compile" Everyone says AI kills software moats. But fintech isn't simply a subset of software... it just cosplayed as one for a decade to get the multiple. And AI is about to expose who was faking it.
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"Fintech's moats don't compile" Everyone says AI kills software moats. But fintech isn't simply a subset of software... it just cosplayed as one for a decade to get the multiple. And AI is about to expose who was faking it.
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The test for any fintech: - Do you underwrite risk yourself or pass it to a partner? - Do you own the regulatory relationship or rent it? - Does every transaction make YOUR models sharper? - Is your ledger the source of truth?
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