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This Week in Startups · July 6, 2026 · 00:58:01

$100T is managed by "human duct tape" | E2308

Chris Hladczuk, CEO of Hanover Park, reveals how $100 trillion in global assets are managed through inefficient legacy systems held together by armies of accountants using spreadsheets and disconnected tools. Hanover Park has grown from overseeing $1B to $20B in assets in 15 months by replacing this "human duct tape" with AI-powered infrastructure. The episode also features a flashback to Dylan Field discussing Figma's early go-to-market strategy in March 2020.

This summary was generated from show notes and public descriptions, not from a full transcript review. Details may contain inaccuracies.

Novel

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AI Replacing Human Duct Tape in Financial Operations
Hanover Park is replacing manual financial workflows with AI, enabling fund managers to eliminate redundant accounting staff and accelerate decision-making across asset portfolios.

Highlights

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Human Duct Tape: Manual Labor Holding $100T in Assets
Global asset management relies on armies of accountants manually patching together data from disconnected legacy tools like QuickBooks and Excel, creating systemic inefficiency across a $100 trillion market.

Editorial

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Financial institutions are locked into fragmented tech stacks where QuickBooks, Excel, and proprietary fund accounting software do not integrate, making it difficult to migrate or consolidate.
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Hanover Park achieved 20x growth in assets under management in 15 months by solving a widespread operational bottleneck that affects every asset manager.
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In a 2020 flashback, Dylan Field discussed Figma's go-to-market strategy and expressed concern about SaaS burnout—years before the category's wider reckoning in 2022-2023.

Misc

✧Hanover Park scaled from $1B to $20B AUM in 15 months
✧$100 trillion global asset management market still relies on manual data entry and Excel
✧Legacy financial systems (QuickBooks, Excel) are holding fund data hostage
✧Dylan Field on SaaS burnout concerns in March 2020, before category collapse
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