• 1 to 100: Braintrust

  • Sep 18 2024
  • Length: 1 hr
  • Podcast

1 to 100: Braintrust

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  • Summary

  • In this episode of 1 to 100, host Usman Hanif is joined by Ankur Goyal, Founder and CEO at Braintrust, an enterprise-grade stack for building AI products, from evals to logging to data management. Ankur shares insights on product development strategy in the AI era, getting backed by the likes of Elad Gil and Greylock, and how he sees the future of AI development. 🔥 Apply to join over 400 Founders and Execs in the Turpentine Network: https://www.turpentinenetwork.co -- RECOMMENDED PODCAST: 🎙️ This Won't Last Eavesdrop on Keith Rabois, Kevin Ryan, Logan Bartlett, and Zach Weinberg's monthly backchannel. They unpack their hottest takes on the future of tech, business, venture, investing, and politics. Apple Podcasts: https://podcasts.apple.com/us/podcast/id1765665937 Spotify: https://open.spotify.com/show/2HwSNeVLL1MXy0RjFPyOSz YouTube: https://www.youtube.com/@ThisWontLastpodcast -- SPONSOR: WORKOS 🛠️ Building a B2B SaaS app? WorkOS has got you covered with easy-to-integrate APIs for SAML, SCIM, and more. Join top startups like Perplexity, Vercel, Jasper & Webflow in powering your app with WorkOS. Enjoy a free tier for up to 1M users! Start now at https://bit.ly/WorkOS-Turpentine-Network -- LINKS: Braintrust: https://www.braintrust.dev/ -- X : @ankrgyl (Ankur) @braintrustdata (Braintrust) @usygoosy (Usman) @why2join (Why You Should Join) @turpentinemedia (Turpentine) -- TIMESTAMPS: (00:00) Intro (02:03) Overview of Braintrust (02:58) Challenges in building AI products (04:24) Braintrust's core product (07:10) Killer feature of Braintrust (10:17) Hard part about evals (11:45) Primary challenges of the company (13:54) Golden data sets and their importance (17:57) Complexities of LLM applications (24:03) Sponsor: WorkOs (25:10) Moats for a company (28:09) Lessons from Impira and Figma (32:55) Building relationships in the Valley (35:24) Identifying and solving core problems (37:18) Balancing customer feedback and product vision (40:37) Hiring and building a strong team (50:28) Future of AI development (56:28) Wrap
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