Kwindla Hultman Kramer

CEO @ Daily | Helping developers create awesome video experiences built on global WebRTC infrastructure | Y Combinator Top Company 2023

Kwindla Hultman Kramer is a technology entrepreneur and executive based in the San Francisco Bay Area.1 He is currently the Co-founder and CEO of Daily, a company that develops infrastructure and SDKs for video and audio.2 Kramer has been in this role since January 2016.1

Professional Experience

Prior to founding Daily, Kramer held several notable positions:

CEO of Oblong Industries, Inc. from 2005 to 20131
CTO of AllAfrica, Inc. from 1999 to 20061
Entrepreneur in Residence at TenOneTen Ventures from 2014 to 20161

Board Memberships

Kramer has also served on the boards of multiple companies:

Member of the Board of Directors at ZeeMee (2015 - Present)1 3
Member of the Board of Directors at SnowShoe (2014 - 2016)1

Other Roles

Throughout his career, Kramer has taken on various consulting and advisory roles:

Consulting CTO for Media Matters for America (2003 - 2004)1
Consulting Technology Architect for the Democratic National Committee (2001 - 2002)1

Skills and Interests

Kramer appears to have a diverse skill set, including experience with Haskell programming language, as evidenced by his role as "Chief Haskell Officer" at Sabbatical, Ltd.1 He also mentions having "barely passable" skills in French and Arabic.1

Kwindla Hultman Kramer's LinkedIn profile username is indeed kwkramer, as mentioned in the query.1

Highlights

Yesterday · twitter

This is fantastic. ** We need more and better AI eval and observability tools — in general, and especially for conversational voice AI **

At a dinner last week hosted by @mariabrw, we all went around the table and offered a prediction for the next year of AI.

I went last, by which time three people had already made predictions that I would have made, too. Which probably means I wasn't thinking big enough! But at that point I figured I'd go the other way and offer something so mundane that it's maybe being broadly overlooked.

My prediction for next year is more a requirement than a prediction: we need better eval tools (broadly defined).

SOTA LLMs like GPT-4o, Claude Sonnet 3.5, and Gemini 1.5 Flash are very capable conversation and function calling engines.

Orchestration frameworks like @pipecat_ai make it easy to build multi-turn, multi-state conversation apps that integrate with backend systems.

The biggest thing holding us back from faster and broader deployment to production is: it's too hard to go from "this thing works 90% of the time and when it works it's really valuable" to "we know that this thing works 99.9% of the time."

There are at least two categories of things to build in this space: tooling that helps us test as we develop; and tooling that helps us see what's happening in production.

Yesterday · twitter

I'll give you five American dollars if you know which LLM did this. https://t.co/tlXM2J4jJ6