Stephanie Wang

40 posts

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Stephanie Wang

Stephanie Wang

@StephWangBuilds

Software Engineer

NYC Katılım Eylül 2016
171 Takip Edilen322 Takipçiler
Stephanie Wang retweetledi
ScyllaDB
ScyllaDB@ScyllaDB·
Jumping to distributed analytics too early can result in unnecessary complexity. Stephanie Wang will show how to get fast analytics when bridging systems like MongoDB and DuckDB at our free and virtual Monster Scale Summit on March 11-12. ow.ly/Lxaa50XY5LL #ScyllaDB
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Antithesis
Antithesis@AntithesisHQ·
How many people can really say they took a distributed database from 0 to 1? @stephwangbuilds did just that with @duckdb, and came to #BugBash to share the experience.
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TigerBeetle
TigerBeetle@TigerBeetleDB·
Up next in #SD25 online! Join @StephWangBuilds as she takes the stage for her talk, “Simplicity is The New Black”. Tomorrow, Wednesday, July 23 at 10am PT / 1pm ET / 7pm CET youtu.be/itK6BSSe5DA
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Eastlink Capital
Eastlink Capital@eastlinkcap·
We've backed Vellum from the early days because we believed in their vision to bring rigor and speed to enterprise AI development. They’re doing just that — and now they’ve raised a $20M Series A to take it further. Excited to be part of the next chapter! 🚀 @vellum_ai
Akash Sharma@akusharmaa

AI Development Needs a Standard. We’ve raised a $20m Series A to build it. Today, I’m thrilled to share that we’ve raised $20M to bring rigor, speed, and reliability to AI development. The round was led by @leadersfund, with participation from @ycombinator, @sociicapital, @RebelFund_VC, @pioneer_fund and @eastlinkcap. It’s a big milestone for us, but more than anything, it validates what we’ve been seeing on the ground: the need for a standard approach to bring AI products into production, especially inside large, complex organizations. --- The promise of AI is real. But real AI powered products are still rare. Why? Because building with LLMs today feels like writing software in quicksand: - What works in a demo often breaks in production because models behave unpredictably - The pace of change makes it nearly impossible to stay current, let alone build with confidence (agents weren’t mainstream until just 6 months ago!) - Everything falls on engineers, making them the main bottleneck @SiddSeethepalli, @FlahertyNoa and I felt this pain firsthand, and Vellum is the platform we wish we had when doing our AI development. Teams at Redfin, Drata, Swisscom and Headspace use Vellum to power mission critical AI systems. Not demos, real apps in production built using our test-driven development philosophy. --- I remember someone asking me in Month 2 of our company, “What’s your vision of Vellum?” My answer back then holds true today: “We’ve lived the AI development pain first-hand so our customers don’t need to. We will be the best-in-class platform engineering teams around the world rely on to power core AI applications.” Today we are grateful to partner with @Gideonhayden, and the team at @leadersfund to scale what we have shown works time and time again. We’re building not just software, but the standard of how the world builds AI products. Over the next few days we’ll be sharing some exciting new case studies and launching a huge new feature every day, so follow along for updates! In the meantime, if you want to try Vellum for yourself, sign up for free here: app.vellum.ai/signup Huge thank you to our team, customers, and investors, especially @bradflora and @_puneetKumar for working with us since the early days in YC. We’ve been building toward this moment and there’s an exciting journey ahead. The path to billions of ARR continues 🚀 🚀 Axios coverage: axios.com/pro/enterprise… Businesswire: businesswire.com/news/home/2025… Open letter from me: vellum.ai/blog/announcin…

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TigerBeetle
TigerBeetle@TigerBeetleDB·
Simplicity is the new black – and a competitive edge, especially in the age of AI. After 1st coffee break, Stephanie Wang, Staff Engineer at MongoDB, will challenge the assumption that distributed systems should be the default. Just because you can, doesn't mean you should.
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TigerBeetle@TigerBeetleDB

The second speaker taking to the SD'25 stage will be @DominikTornow, founder & CEO at @resonatehqio A talk for system thinkers/builders who want to move beyond ad hoc solutions — toward understandable distributed protocols that power scalable and reliable distributed systems

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Jordan Tigani
Jordan Tigani@jrdntgn·
How much Big Data is in the real world? A new Redshift dataset lets us figure it out empirically. I dig into the data here: motherduck.com/blog/redshift-… TL;DR: Most databases don't have big data and a vanishingly small number of people ever run big data queries
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Stephanie Wang
Stephanie Wang@StephWangBuilds·
Only 55 days left till Small Data SF(smalldatasf.com), THE MOST exciting data event of the year! Register today with code “Steph100” for $100 OFF. We can’t wait to see you there!
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Small Data SF: Think Small, Build Big@smalldatasf

Small but mighty 😎 That's us: the only place where you get to soak in the wisdom of legends like @jmorgan, @j_schottenstein, @wesmckinn, @glcst, @jrdntgn (and more!) and connect with them IRL. Only 250 tickets, and then they're gone: smalldatasf.com

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MotherDuck
MotherDuck@motherduck·
We’re proud to announce @smalldatasf with our friends at @ollama, @tursodatabase, and @Cloudflare. Small Data SF is a day for developers and data practitioners to come together and engage in productive community discussions on using ‘small data’ volumes to build useful, meaningful analytics and AI experiences. The Small Data Movement is already underway. Are you in? smalldatasf.com
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MotherDuck
MotherDuck@motherduck·
🎸 Duck and Roll! MotherDuck is now open for all data analysts, data engineers and data scientists. Plus, we closed our Series B for a total of $100M in the nest. Get started with DuckDB in the cloud today. motherduck.com/blog/motherduc…
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MotherDuck
MotherDuck@motherduck·
🎉We're ecstatic to announce our inaugural release designed to turbocharge @duckdb in the Cloud! Plus, our product tour comes with a fun twist - a real duck as your guide! 🦆 motherduck.com/blog/announcin…
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Stephanie Wang
Stephanie Wang@StephWangBuilds·
@lesv @theBrc007 Oh I see. I only know the internally circulated papers, nothing I can share externally atm, unfortunately.
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Les Vogel
Les Vogel@lesv·
Introducing Auto Sharding for #BigQuery. This new feature boosts Dataflow throughput by 3x which can reduce the number of workers you need and overall costs 💰. More here 👇 google.smh.re/TU7
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