Brandon Foo

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Brandon Foo

Brandon Foo

@brandonwfoo

Founder and CEO @useparagon, previously @Polymail. UCLA Bruin, YC alum, Forbes 30 under 30.

Los Angeles, CA Katılım Eylül 2009
1.2K Takip Edilen9.5K Takipçiler
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Brandon Foo
Brandon Foo@brandonwfoo·
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 2.0 - AI-native integration infrastructure with purpose-built products: - Managed Sync for RAG - ActionKit for agents - Plus our proven Workflows product The future is AI-native. Join our launch week for Paragon 2.0 by giving me or @useparagon.
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Brandon Foo
Brandon Foo@brandonwfoo·
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 worth their time—and they want your product to guide that judgment. Listen/watch here useparagon.com/podcast/how-to…
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Brandon Foo
Brandon Foo@brandonwfoo·
“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 @descript (yes, the same tool we used to edit this episode). We dove deep into their AI Underlord framework and discussed strategies for making the user-AI relationship feel collaborative. Listen on all your favorite podcast platforms: YouTube: lnkd.in/ei6TWC8w Spotify: lnkd.in/eSgZe_r8 Apple: lnkd.in/euDnbD2v
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Brandon Foo
Brandon Foo@brandonwfoo·
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 pipelines takes months. That’s why we built Managed Sync. Two APIs to solve this integration and access control problem in AI. - Sync API for fully managed, normalized ingestion pipelines - Permissions API for query-time access control checks on the retrieved data What used to take teams six months or more to build now takes just two days to implement, and the throughput and performance is ~10x better. Learn more at useparagon.com/sync
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Brandon Foo
Brandon Foo@brandonwfoo·
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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Brandon Foo retweetledi
Paragon
Paragon@useparagon·
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. useparagon.com/learn/implemen…
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Box
Box@Box·
🎙️ 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 👇
Paragon@useparagon

“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 good data is a moat/flywheel for AI products - The importance of access controls in RAG - Building broad or building deep - APIs, MCPs, A2A Check out the full episode here: lnkd.in/gMJzUWp5 Spotify: lnkd.in/gvW-PMQx Apple Podcasts: lnkd.in/gjEjn7Zg YouTube: lnkd.in/g9ME89pR About Future Proof: How are you approaching product development in the AI age? The paradigm of B2B SaaS is shifting into AI first products, and there is a wealth of knowledge to be shared. Future Proof is a podcast which brings together top product and engineering leaders to discuss learnings and share insights for building AI products that last. The show focuses on 4 key pillars: 1. Understanding how to build for the future of B2B software (agentic, workflows, chat, etc.) 2. The biggest challenges in AI product development and how to overcome them 3. Discovering patterns between the fastest growing AI products 4. The latest AI developments and what it means for AI product development

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Brandon Foo retweetledi
Paragon
Paragon@useparagon·
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 useparagon.com/mcp/?utm_sourc…
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Paragon
Paragon@useparagon·
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 useparagon.com/mcp/?utm_sourc…
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Paragon
Paragon@useparagon·
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 is such strong sense of urgency right now. useparagon.com/blog/why-ai-co…
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Paragon
Paragon@useparagon·
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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Paragon
Paragon@useparagon·
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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Paragon
Paragon@useparagon·
Building AI products? This comprehensive guide covers everything you need to know about retrieval augmented generation (RAG). useparagon.com/blog/comprehen…
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Brandon Foo
Brandon Foo@brandonwfoo·
RT @useparagon: Experiencing issues with your SaaS products' integrations? Take a breath, we are here to help.
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Brandon Foo
Brandon Foo@brandonwfoo·
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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Paragon
Paragon@useparagon·
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 👉 useparagon.com/blog/introduci…
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Paragon
Paragon@useparagon·
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. useparagon.com/resources/buil…
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Paragon
Paragon@useparagon·
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! useparagon.com/?utm_source=tw…
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Keşfet

@crunchbase @descript @useparagon @levie @ProductHunt @elonmusk @BarackObama @taylorswift13