Brandon Foo
@brandonwfoo
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Founder and CEO @useparagon, previously @Polymail. UCLA Bruin, YC alum, Forbes 30 under 30.
Los Angeles, CA
Joined September 2009
Paragon started as an embedded iPaaS solving SaaS integration nightmares. But AI changed everything. RAG needs massive data ingestion. AI agents need universal tool calling and existing tools weren't built for this. So we rebuilt everything from scratch. Introducing Paragon
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The model isn’t the moat—decision-driven UX is. We had Megh Gautam, Chief Product Officer at @crunchbase, on Future Proof to break down how they made their trusted data product AI-native. The key insight: design for decisions. Users don’t want facts; they want to know what’s
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1/8 Did you know an average Member of the European Parliament pockets ± €23,500 every single month? That’s €282,000 a year mostly tax-free.
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“The first thing you need to consider when you’re a pm is to define what kind of trust you need to build with your users”. In our latest episode of Future Proof, we sat down with Laura Burkhauser, VP of Product at @DescriptApp (yes, the same tool we used to edit this episode).
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Introducing Managed Sync - the world’s first data ingestion & access control solution for RAG. Most LLMs lack user context. That's why OpenAI launches new ChatGPT connectors weekly. Why Anthropic pushes MCP. Why Perplexity bought an integration platform. But, building these
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RT @useparagon: “Always assume the baseline model gets better and better, but data is ultimately always a great moat…”. In this episode of…
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In this tutorial, we discuss how to add agentic capabilities into your AI application, allowing your RAG application to not only read data from third parties but also write data (take action) to those third-party apps as well. https://t.co/WGpTFLrnYs
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🎙️ Box CEO @Levie sat down for the inaugural episode of the Future Proof Podcast from @UseParagon, discussing what it takes to build successful, quality Enterprise AI products. Watch now 👇
“Your system will only be as good as the quality of the access controls beneath it”. In this episode of Future Proof: Building AI Products that last, we chat with @levie, CEO and Cofounder of @Box, on what it takes to build successful Enterprise AI products. We cover: - Why
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Looking for an MCP that can authenticate multiple users? Watch how Paragon’s MCP powers any client to authenticate into GitHub and produce issue tickets within seconds. Curious? Try it for yourself https://t.co/dtbygjrCk9
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We got an AI Agent to authenticate into Google Drive and then make an ASCII art in Google Sheets, all with just one MCP. Watch our Developer Advocate walk you through it. If you want to connect your AI product to hundreds of 3rd-party tools, check out https://t.co/dtbygjrCk9
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AI companies are aggressively investing in building integrations for their AI products, so they can ingest knowledge from their users' 3rd party apps and files, and give their AI agents access to automate tasks across the stack. This article dives into the use cases and why there
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Another API change getting in the way of your integration development? The cost of maintaining integrations is very hard to estimate, with third-party API changes, issues with authentication, and much more. Offload these worries to Paragon, and enjoy your weekends again.
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We built an AI knowledge chatbot that has context on all the information from a user's Slack messages, Google Drive files and Notion documents using create-llama, Pinecone, and Paragon. Check it out!
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Building AI products? This comprehensive guide covers everything you need to know about retrieval augmented generation (RAG). https://t.co/UDs6OKezIa
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Experiencing issues with your SaaS products' integrations? Take a breath, we are here to help.
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RT @useparagon: RAG Best Practices: Query vs. Data Ingestion Learn about which method; data ingestion with vector search or querying with…
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Need to sync or ingest data from your users' 3rd party apps in real-time? Not only can you use Paragon's pre-built triggers, you can now spin up your own webhook-based triggers with Custom Webhooks! Check out the launch and demo 👉 https://t.co/kBS6xrNj8g
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Are you looking to scale your native product integration development? Deciding whether to build or buy is a big decision, our guide explores the factors you should consider when pursuing an integration platform. https://t.co/oUNbHuddDZ
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We launched ActionKit on @ProductHunt today! 🚀 Check it out and support our launch here:
producthunt.com
Engineering teams use Paragon's Embedded iPaaS to integrate their applications users' 3rd party tools like Salesforce, Slack, Google Drive with 70% less engineering. Build bi-directional record...
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Looking to scale integration development? Our team was able to build a native CRM integration in under two minutes. Watch for yourself 👇 Think you can beat it? Give it a try! https://t.co/zCbj44Jn2d
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