Victor Zhou (@victorczhou) profile picture

building agents @clay, founding eng @gather_town, CS ‘19 @princeton, creator of https://teapawt.org/t.co/asp6xD24Bu

San Francisco, CA
Joined April 2013
Photo by Victor Zhou (@victorczhou)Photo by Victor Zhou (@victorczhou)Photo by Victor Zhou (@victorczhou)Photo by Victor Zhou (@victorczhou)Photo by Victor Zhou (@victorczhou)Photo by Victor Zhou (@victorczhou)Photo by Victor Zhou (@victorczhou)Photo by Victor Zhou (@victorczhou)Photo by Victor Zhou (@victorczhou)Photo by Victor Zhou (@victorczhou)
Victor Zhou retweeted
How does @clay keep a billion+ records fresh? Our cracked eng team built 2 pipelines on @ClickHouseDB (1 for quality, 1 for usage) that turned a days-long process into seconds. watch this <2m recap or dive into the tradeoffs & architecture decisions in the post 👇 Jump into Clay to search the dataset :) makes.clay.com/clay-original…
Our data engineers worked with @ClickHousedb to track quality across 1B+ company, people, and job records. Coverage history that took days to reconstruct now loads in seconds. ↓
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Victor Zhou retweeted
A billion records. How do you know your data is good? Clay built its data quality system on ClickHouse, turning coverage investigations that took days into answers in seconds. Read the engineering deep dive → clickhou.se/4zdKViB
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we use @ClickHouseDB for a lot of things but this dataset visibility use case is one of my favorites
Our data engineers worked with @ClickHousedb to track quality across 1B+ company, people, and job records. Coverage history that took days to reconstruct now loads in seconds. ↓
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Victor Zhou retweeted
Introducing auto-mode for Claygent. It picks the AI model for each row of research, balancing answer quality AND cost. Now on by default for new Claygent columns: - 47% cheaper than sending every task to the most capable model. - <1 second to choose the model for each research task. - You can still pick your favorite model anytime. Super cool thing: We post-trained an open-weight model with @appliedcompute to handle the routing. It runs on their AC2 platform and handles hundreds of millions of queries a month. @jeffbarg, Vyshnavi, @rhythmrg, and @_brylee10 break it down below.
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Victor Zhou retweeted
Introducing Claude Haiku 4.5: our latest small model. Five months ago, Claude Sonnet 4 was state-of-the-art. Today, Haiku 4.5 matches its coding performance at one-third the cost and more than twice the speed.
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Victor Zhou retweeted
we’ve been using a grapevine-powered slackbot internally and i really can't imagine working without it. it’s like chatgpt, but with all your company knowledge and it's multi-player. - support asks how something works → it offers an easy-to-understand answer based on the actual code, not an outdated spec. - marketing asks when something is shipping → it pulls the launch date and the most recent project update straight from linear. - product asks about sentiment about a feature in beta → it summarizes real customer quotes from our customer channels and survey responses. - eng asks why we've made a particular technical choice → it combines code and our notion design docs to explain the what and the why. it can even auto-answer if it’s confident enough (no tagging required). and since this all happens in slack, everyone can learn or chime in, making the answers better over time. i truly didn't realize how much time i spent spend routing and answering questions until i stopped having to do it. grapevine takes 30 mins to set up and the first month is on us. give it a shot! 👇🏽
I’m excited today to share Grapevine, a system that makes it really easy for AI agents to search company knowledge across, Slack, Notion, codebase, and more. The first app we’re launching with it is a company GPT that works remarkably well, better than any alternative today.
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Update: I joined @gather_town to lead an AI experiments team, and today we're releasing our first tool: Grapevine Grapevine is the first AI Brain that actually understands how you work We've been testing across early beta customers, and its been magical to see the early impact
I’m excited today to share Grapevine, a system that makes it really easy for AI agents to search company knowledge across, Slack, Notion, codebase, and more. The first app we’re launching with it is a company GPT that works remarkably well, better than any alternative today.
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I've been on the team building Grapevine since the beginning, and in the span of a few months our internal company GPT grew from a hacky experimental demo into my most-used work AI tool.
I’m excited today to share Grapevine, a system that makes it really easy for AI agents to search company knowledge across, Slack, Notion, codebase, and more. The first app we’re launching with it is a company GPT that works remarkably well, better than any alternative today.
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There's still a lot for us to improve in Grapevine, but to this day it remains the most useful company-context-aware Q&A system I've tried, and I've tried a lot of them (and am doing my best to be as unbiased as possible).
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Remote work doesn’t have to be mysterious
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Victor Zhou retweeted
in terms of what's next: i'm so excited to share that i'm joining @gather_town as CPO! i've been so inspired by the wildly creative vision that @flippnflops and team are working toward to make hanging & working online more human and more fun. see you in the metaverse! 🥳
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React 18 is out! We've already seen some perf improvements from this at @gather_town, big props to the React team for this release 🎉
React 18 is now available on npm! Here’s an overview of what’s new in React 18, and what it means for the future. reactjs.org/blog/2022/03/29/…
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Victor Zhou retweeted
The Future Is Low-Res trib.al/pdvmfxD
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Excited to announce that @gather_town has raised a $50M Series B led by @sequoia and @IndexVentures, with participation from @zoink, @jeffweiner, @ycombinator! Given all the Metaverse talk lately, we wanted to elaborate on what this means to us: gather.town/post/why-the-met…
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