Welcome to InDaloop, the podcast where we cut through the noise and get straight to the insights that matter for fundamental investors. Hosted by Thomas Li, CEO of Daloopa, each episode dives into how technology, data accuracy, and automation are reshaping investment workflows. From faster model updates to smarter research, InDaloop helps you spend less time gathering data—and more time making decisions.
InDaloop
Claim This Podcastby Thomas Li
5.0(6 reviews)
22 episodes
Updated Weekly
Accepts GuestsHas SponsorsLocation 🇺🇸
38
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality64
Social0
YouTube0
Engagement32
Podcast Overview
Welcome to InDaloop, the podcast where we cut through the noise and get straight to the insights that matter for fundamental investors. Hosted by Thomas Li, CEO of Daloopa, each episode dives into how technology, data accuracy, and automation are reshaping investment workflows. From faster model updates to smarter research, InDaloop helps you spend less time gathering data—and more time making decisions.
Language
🇺🇲
Publishing Since
5/22/2024
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38
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality64
Social0
YouTube0
Engagement32
6
Excellent Areas
3
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10
Growth Opportunities
excellent
Episode Length
32 minutes
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good
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3.0/5
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Recent Episodes
December 8, 2025
Beyond the Model: AI, Excel, and the New Operating System of Finance
<p>In this episode of <strong>InDaloop</strong>, Thomas Li sits down with Matt Robinson—Founder of <strong>AI Street</strong> and one of the sharpest voices covering AI in finance—to unpack how artificial intelligence is reshaping the true operating system of Wall Street: <strong>Excel</strong>.</p><p>They go past the hype to dig into what actually matters in real workflows—why modeling is about <strong>process, not just output</strong>, how AI really works under the hood through <strong>tokens and tool calls</strong>, and why the biggest breakthroughs are coming from combining models with the right <strong>tools and data</strong>, not trying to replace humans outright.</p><p><br></p><p>You’ll hear a deep dive into:</p><ul><li><p>Why Excel remains the core interface for finance—and how AI is being embedded directly into it</p></li><li><p>The real difference between <strong>large language models, tools, and agents</strong></p></li><li><p>Why many finance problems still can’t be solved by AI (yet)</p></li><li><p>How tool-based architectures like MCP change what’s possible in research and modeling</p></li><li><p>The future of AI-driven modeling, data extraction, and enterprise workflows</p></li><li><p>Why the winners won’t fight AI—they’ll <strong>build the tools that power it</strong></p><p><br></p></li></ul><p>If you sit anywhere at the intersection of <strong>AI, investing, data infrastructure, or financial modeling</strong>, this conversation will give you a clearer mental model for how the next operating system of finance is being built.</p>
October 22, 2025
Building the Analyst’s AI Stack: Inside Anthropic x Daloopa
<p>Thomas Li (CEO, Daloopa) and Nic Lin (Anthropic) go deep on a practical AI stack for fundamental investors: Daloopa’s verified historicals as the trusted context, Anthropic’s Claude as the thought partner. They unpack the “retrieve → analyze → create” workflow, why the mechanical Excel work should be automated, and how auditors can trace every number back to source. Real use cases include ranking companies on guide-vs-actuals accuracy and screening PE takeout risk without building 50 LBOs. They cover MCP integrations, file creation and artifacts, finance-grade benchmarks, outcome-based pricing, and an open ecosystem that meets analysts in Excel, PowerPoint, email, and more. The roadmap: virtual collaborators that proactively suggest tasks, deeper data integrations, and institution-ready outputs—so you spend less time updating models and more time making calls you can defend.</p><p><br></p><p>To learn more about our MCP please visit: https://daloopa.com/products/mcp</p>
August 7, 2025
How Intel Lost the Chip War — And Whether It Can Be Saved
<p>Once the gold standard in semiconductors, Intel now finds itself years behind the AI curve, with declining margins, internal dysfunction, and an identity crisis. Can a new CEO with a quiet but proven track record bring it back?</p><p>In this episode of InDaloop, Thomas Li (Daloopa) and David Reineke (Blue Heron) sit down with tech researcher and author Luke Dormehl to unpack the fall of Intel — and whether Lip-Bu Tan, the seasoned turnaround CEO behind Cadence’s revival, has what it takes to pull off the same feat here.</p><p><br /></p><p>You’ll hear:</p><ul><li><p>Why Intel missed the AI wave while competitors surged</p></li><li><p>The cultural rot inside the company — and why it matters</p></li><li><p>What made Andy Grove’s Intel great — and where it all unraveled</p></li><li><p>Why Lip-Bu Tan’s style could be exactly what Intel needs now</p></li><li><p>And what it would really take to rebuild trust, growth, and relevance</p><p><br /></p></li></ul><p>If you’re watching the chip war unfold, this is the strategic deep dive you’ve been waiting for.</p><p><br /></p><p>For more information on Daloopa, visit: www.daloopa.com</p><p>For more information on BHRP, visit: https://www.blueheronrp.com/</p>
22 total episodes available
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Keith Epstein
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Frequently asked questions
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- What is InDaloop?
- How often does this podcast release new episodes?
This podcast updates weekly.
- Where can I listen to this podcast?
This podcast is available on 7 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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