Jess Ou (@JessicaOu) profile picture
San Francisco, CA
Joined August 2009
Photo by Jess Ou (@JessicaOu)Photo by Jess Ou (@JessicaOu)Photo by Jess Ou (@JessicaOu)Photo by Jess Ou (@JessicaOu)Photo by Jess Ou (@JessicaOu)Photo by Jess Ou (@JessicaOu)Photo by Jess Ou (@JessicaOu)Photo by Jess Ou (@JessicaOu)Photo by Jess Ou (@JessicaOu)Photo by Jess Ou (@JessicaOu)
Jess Ou retweeted
POV: You’re arriving at Interrupt London
1
1
1
11
6,306
DHL 🤝 LangSmith @LangChain
1
58
Jess Ou retweeted
Just announced at Interrupt! SmithDB. Agent traces have outgrown the databases built to hold them. That’s why we built SmithDB, a purpose-built distributed database for agent observability. Read the announcement from Co-Founder @ankush_gola11 → langchain.com/blog/introduci…
15
39
11
163
134,910
🚀Launching: LangSmith Engine LangSmith Engine is an agent that sits on top of your traces It runs in the background and automatically identifies issues It then proactively suggests action items (code changes, evaluators to add) Try it today: smith.langchain.com
79
61
20
492
165,245
All aboard!
2
5
30
6,634
I am forever a start up person. Working with the BEST companies building in AI fires me up!!
2
11
2
43
6,613
Jess Ou retweeted
we’re leaning incredibly hard into Open Models + Open Harnesses evals show that current open models get near frontier (or better) intelligence on many tasks, they’re way cheaper, and usually faster real world tasks need to take perf, cost, latency into account many tasks don’t need the bleeding edge frontier intelligence, they need specialized intelligence funneled into a problem with open models, production traces becomes even more of a moat with harness engineering and finetuning we’re so early, a big part of the future will be open everything 🚀
13
16
92
14,127
I don't mean to make a whole thing of this, but... In hindsight, backstreet boys >>>> nsync
1
3
283
Going to be BIG this year!!
🎉📅 Interrupt 2026 — the AI Agent Conference by LangChain — is back May 13-14 in SF 1,000+ practitioners. Production agents. Real world lessons. Why you should come: → Hear from teams scaling agents in production → Get hands-on in workshops with the LangChain team → See new product drops first → Connect with builders solving the same challenges you are 🎟️ Tickets drop Feb 12 — seats are limited Sign up to get notified: interrupt.langchain.com/?utm…
1
3
2,884
Jess Ou retweeted
🚀 LangSmith Agent Builder is GA – and we’re moving fast Agent Builder lets you build an agent with a simple prompt. But sometimes you want something that’s ready to go. Today we’re introducing the Agent Builder Template Library: ready-to-deploy agents built with the companies who know their domains best. Templates include: Tavily: competitor intelligence PagerDuty: on-call triage Box: document intake review +more Supports: Gmail, Google Calendar, Slack, Linear, Pylon, GitHub, LinkedIn, X, Tavily, Exa + any app with an MCP server 👉 Try Agent Builder: langchain.com/langsmith/agen… 📣 Read the announcement: blog.langchain.com/introduci…
24
38
4
196
46,150
Everyone in tech knows the time-consuming process of going on Linkedin and searching for your potential perfect candidates to hire for a role. Agent Builder helped me find 30 hires for a JD I have up in <5 minutes.
LangSmith Agent Builder is generally available 🎉 It’s surprisingly easy to build agents now. Even a VC can do it…👇 Try it free: smith.langchain.com/agents?s… Read the announcement: blog.langchain.com/langsmith…
1
126
Been absolutely amazing to watch this team up close since they were in YC :)
Slash, @slashapp, just crossed $150M in annualized revenue profitably. We went from $2M -> $150M in 24 months making us the fastest-growing business banking* platform of all time. 700 word post on 4 guiding principles that got us here. This cost us >$10M dollars to learn... (Bookmark this) I'll cover: • Picking the right market (where 99% of founders go wrong) • Why revenue is the ONLY business metric that matters • Why market saturation is fake • What every founder does day to day that they shouldn't 1. Attack “small” markets: Startup founders - myself included - gravitate towards working on companies that have huge upside. Here's the problem: it’s difficult to find aggressive product-market fit / build a differentiated product if you don’t sell ONE offer to ONE person. I'll repeat: one offer, to one person Examples: • PayPal didn't start by trying to own 70% of online payments they started with payment processing just for eBay merchants. • Uber started as black cars for rich SF people. Ask yourself, what am I selling and to who? If you're selling more than one thing to more than one person, in the beginning, you're not niche enough. Slash started by building a better credit card for SNEAKER RESELLERS. Ridiculously niche. And that tiny wedge alone got us to $5M ARR in 11 months. Once you dominate the niche, you earn the right (and the cash) to expand outward. We STILL go after “small” verticals because our competitors are too arrogant to do it. We walk in and own them. 2. Revenue is the only metric that matters. Everything else is cope. If your revenue isn't growing, nothing else matters. Revenue gives you two things: A) Money to redeploy. (Obvious.) B) Momentum. A team that’s winning wants to work harder. A team that’s losing checks out. To become a unicorn, you have to outwork everyone else. To outwork everyone else, you need morale. To get morale, you need wins. To get wins, you need revenue. Everything ladders back to one thing: Sell more, sooner. Drive sales and demand → everything else falls into place. 3. “Market saturation” is fake. When starting Slash, everyone told us we'd never be successful because Ramp, Brex, and Mercury were already worth > $10bn. The reality is that fintech is only 5% penetrated. 95% of business deposits and corporate card spend still runs through the legacy banks. Many markets are similar to B2B fintech. They can “feel” settled because there is a sexy startup that everyone’s heard about, but dinosaurs have all the rev share. There's always a way to find your wedge. 4. 99% of founders do the wrong thing at the wrong time When you start your role as the founder is to do EVERYTHING. And you should outsource nothing. Example: If you run an ecom business you should write film and edit EVERY single script. If you're a CTO you should write every line of code. Biggest 🚩in an early stage founder is someone who says they need to "outsource to an expert". No. You ARE the expert or you become one. Founders who outsource early are lazy. When you grow this needs to change rapidly. >10M ARR you need to SHIFT fast. Your role as the founder should be to bring in people competent enough to deliver on all of your initiatives. There is simply too much to do and it won’t be possible for you to brute force your way out of every problem. We're winning because 65% of our team is on the spectrum. We have savant engineers who this year alone have, shipped treasury, Stablecoin Payments, check deposits, SWIFT, Global USD, accounting automations, a completely new interface, and more. We have a world-class GTM and ops team. Because of it, we blow our competitors out of the water when it comes to revenue / employee, payment volume / employee, and other efficiency metrics. -------- If you have read this far, thank you. I got told countless times Slash would never be anything. We want Slash to be the first trillion dollar fintech company in the world. At our current growth rate we'll hit 1 billion dollars in revenue run rate in 18 months and 100 billion in 7 years. We’re giving it our all to accelerate our growth rate and hit these metrics even faster.
1
8
2,422
💥 INTRODUCING PRODUCT INTELLIGENCE 💥 Turn your customer feedback into a product strategy.
17
13
5
132
31,494
1,400
1,220
395
8,411
4,879,966
I really like this! Clustering traces is really good step in helping you look at your data!
🔎🤖LangSmith Insights Agent Really excited to launch our first in-product agent This agent lives inside LangSmith and combs through traces, giving you insights into: 🧑‍🤝‍🧑how users are using your agent ⁉️how your agent may be messing up 🛃{your custom insight here} The problem we saw was that people were launching agents... and didn't know how their users were actually using them! You put a chat box in front of people, and they may ask it anything - the surface area for agents is often super wide In addition - agents would fail silently. They could give a bad response - this wouldn't show up in error logs, but its good to know. If you know what look for, you can set up LLM as a judge evaluators. But what if you don't? (most people don't initially) The best way to figure this out - as @HamelHusain says - "look at your data". But LLMs are really good at looking at your data! So can they do it for you? This is exactly what insights agent attempts to do. It's live in LangSmith today. You can read more about it here: blog.langchain.com/insights-…
4
8
1
81
13,337
🔎🤖LangSmith Insights Agent Really excited to launch our first in-product agent This agent lives inside LangSmith and combs through traces, giving you insights into: 🧑‍🤝‍🧑how users are using your agent ⁉️how your agent may be messing up 🛃{your custom insight here} The problem we saw was that people were launching agents... and didn't know how their users were actually using them! You put a chat box in front of people, and they may ask it anything - the surface area for agents is often super wide In addition - agents would fail silently. They could give a bad response - this wouldn't show up in error logs, but its good to know. If you know what look for, you can set up LLM as a judge evaluators. But what if you don't? (most people don't initially) The best way to figure this out - as @HamelHusain says - "look at your data". But LLMs are really good at looking at your data! So can they do it for you? This is exactly what insights agent attempts to do. It's live in LangSmith today. You can read more about it here: blog.langchain.com/insights-…
23
41
26
215
99,943
LangChain is 1.0 today, Funny coincidence - so is my son 😂 Proud to be a @langchain ambassador and advocate for this amazing eco system
🥳Announcing LangChain and LangGraph 1.0 LangChain and LangGraph 1.0 versions are now LIVE!!!! For both Python and TypeScript Some exciting highlights: - NEW DOCS!!!! - LangChain Agent: revamped and more flexible with middleware - LangGraph 1.0: we've been really happy with LangGraph and this is our official stamp of approval - Standard content blocks: swap seamlessly between models Read more about it here: blog.langchain.com/langchain… We hope you love it!
3
3
29
4,835