Founder and CEO @useparagon, previously @Polymail. UCLA Bruin, YC alum, Forbes 30 under 30.
Joined September 2009
- Tweets 2,982
- Following 1,211
- Followers 9,518
- Likes 5,637
230 Photos and videos
Pinned Tweet
7 Jul 2025
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 retweeted
Apr 22
tomorrow we kick off the 3rd cohort of startups we've invited to use Autobuild, the internal tool driving the insane autonomous build velocity at @obvious (nearing 1000 PRs a day from 10 engineers)
each co is shipping 12 weeks of roadmap
this is the frontier, build accordingly
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24 Sep 2025
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-t…
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25 Aug 2025
“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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9 Jul 2025
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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16 Jun 2025
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 retweeted
11 Jun 2025
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/impleme…
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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 👇
2 Jun 2025
“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 retweeted
5 May 2025
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_sour…
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Brandon Foo retweeted
1 May 2025
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_sour…
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Brandon Foo retweeted
30 Apr 2025
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-c…
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Brandon Foo retweeted
28 Apr 2025
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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Brandon Foo retweeted
25 Apr 2025
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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Brandon Foo retweeted
23 Apr 2025
Building AI products? This comprehensive guide covers everything you need to know about retrieval augmented generation (RAG).
useparagon.com/blog/comprehe…
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Brandon Foo retweeted
21 Apr 2025
Experiencing issues with your SaaS products' integrations? Take a breath, we are here to help.
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16 Apr 2025
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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Brandon Foo retweeted
4 Apr 2025
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/introduc…
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Brandon Foo retweeted
1 Apr 2025
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/bui…
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27 Mar 2025
We launched ActionKit on @ProductHunt today! 🚀
Check it out and support our launch here: producthunt.com/posts/action…
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