Open Source / AI Meetup
Hosted by
HackerHouse Taiwan
In-Person
Address available to attendees
We missed you this time around!
We're excited to present to you five lightning talks from folks contributing to various open source (AI) projects. Join for some insightful talks and connect with the community! Thank you to PicCollage for hosting!
If you can't join us in-person, you can tune into the livestream!
Agenda
05:30 - 06:00pm: Arrival & Networking
06:00 - 06:10pm: Welcome
06:10 ~ 07:50pm: Talks & Q&A
07:50 - 08:30pm: Networking & Exit
Presentations
Brandon Liu
Protomaps - Mapmaking using Open Data
Protomaps is an open source map of the world, deployable as a single static file on cloud storage.
—
Brandon is the founder and lead developer of the Protomaps project. For this talk he’ll focus on Places data: geographical datasets of places in the world like landmarks and storefronts. Access to good Places data is the foundation of location-based apps, recommender systems and photo tagging.
Recently, Meta and Microsoft have released a global dataset of 60 million places with an open source license. He will show how to analyze and visualize this dataset using the Protomaps tools, DuckDB and Supabase.
Michael Shilman
Storybook and the AI apocalypse
AI is disrupting devtools, augmenting engineers at different levels of abstraction from Copilot to builder.io to v0.dev. This talk introduces Storybook—the standard for developing, documenting, and testing UI components—and what we are doing to help ensure high quality user interfaces regardless of how little human intervention was involved in producing them.
—
Michael leads Storybook, the industry-standard UI dev tool used by 100k+ teams globally including half of the Fortune 100, high-growth teams at OpenAI, Github, Stripe, Supabase, and many more.
Daniel Ong
The Anatomy of a Thinking Machine
With the recent buzz around AI PCs, Nvidia, Windows, Intel have all jumped in with competing visions for how Local AI will work in the future.
In this talk we’ll cover how Local AI works at a software and hardware level, and how the different ecosystems of Nvidia, Windows, Intel, AMD, Qualcomm and more both compete and cooperate to enable Local AI.
Daniel is the founder of the Homebrew Computer Company, which builds tools to run local AI. He is the lead maintainer for:
- 👋 Jan: an open source desktop AI app with 1mn downloads
- 🧠 Cortex: a developer library to run LLMs and AI models easily
- 🏠 Homebrew: high quality, affordable GPU servers for hobbyists and startups
Thor 雷神 Schaeff
AI in the Browser and on the Edge
In this talk we'll take a look at the awesome open source library Transformers.js which allows us to run pretrained models right in the browser with no need for servers! Additionally we'll explore how we've brought AI inference and LLMs into Supabase Edge Functions, allowing you to run certain AI workloads faster and more cost-efficiently on the Edge!
—
Thor 雷神 is a Software Developer at Supabase working on DevRel and DX. He's also the organiser of HackerHouse Taiwan, aiming to bring Software Engineer from around the globe together to work from and explore Taiwan.
Platform Sponsors
Torc is a community-first platform bringing together remote-first software engineer and developer opportunities from across the globe. Join a network that’s all about connection, collaboration, and finding your next big move — together.
Join our community today!
Don't let broken lines of code, busted API calls, and crashes ruin your app. Join the 4M developers and 90K organizations who consider Sentry “not bad” when it comes to application monitoring. Use code “guild” for 3 free months of the team plan.
https://sentry.io
We missed you this time around!
Platform Sponsors
Torc is a community-first platform bringing together remote-first software engineer and developer opportunities from across the globe. Join a network that’s all about connection, collaboration, and finding your next big move — together.
Join our community today!
Don't let broken lines of code, busted API calls, and crashes ruin your app. Join the 4M developers and 90K organizations who consider Sentry “not bad” when it comes to application monitoring. Use code “guild” for 3 free months of the team plan.
https://sentry.io
Open Source / AI Meetup
Hosted by
HackerHouse Taiwan
In-Person
Address available to attendees
We're excited to present to you five lightning talks from folks contributing to various open source (AI) projects. Join for some insightful talks and connect with the community! Thank you to PicCollage for hosting!
If you can't join us in-person, you can tune into the livestream!
Agenda
05:30 - 06:00pm: Arrival & Networking
06:00 - 06:10pm: Welcome
06:10 ~ 07:50pm: Talks & Q&A
07:50 - 08:30pm: Networking & Exit
Presentations
Brandon Liu
Protomaps - Mapmaking using Open Data
Protomaps is an open source map of the world, deployable as a single static file on cloud storage.
—
Brandon is the founder and lead developer of the Protomaps project. For this talk he’ll focus on Places data: geographical datasets of places in the world like landmarks and storefronts. Access to good Places data is the foundation of location-based apps, recommender systems and photo tagging.
Recently, Meta and Microsoft have released a global dataset of 60 million places with an open source license. He will show how to analyze and visualize this dataset using the Protomaps tools, DuckDB and Supabase.
Michael Shilman
Storybook and the AI apocalypse
AI is disrupting devtools, augmenting engineers at different levels of abstraction from Copilot to builder.io to v0.dev. This talk introduces Storybook—the standard for developing, documenting, and testing UI components—and what we are doing to help ensure high quality user interfaces regardless of how little human intervention was involved in producing them.
—
Michael leads Storybook, the industry-standard UI dev tool used by 100k+ teams globally including half of the Fortune 100, high-growth teams at OpenAI, Github, Stripe, Supabase, and many more.
Daniel Ong
The Anatomy of a Thinking Machine
With the recent buzz around AI PCs, Nvidia, Windows, Intel have all jumped in with competing visions for how Local AI will work in the future.
In this talk we’ll cover how Local AI works at a software and hardware level, and how the different ecosystems of Nvidia, Windows, Intel, AMD, Qualcomm and more both compete and cooperate to enable Local AI.
Daniel is the founder of the Homebrew Computer Company, which builds tools to run local AI. He is the lead maintainer for:
- 👋 Jan: an open source desktop AI app with 1mn downloads
- 🧠 Cortex: a developer library to run LLMs and AI models easily
- 🏠 Homebrew: high quality, affordable GPU servers for hobbyists and startups
Thor 雷神 Schaeff
AI in the Browser and on the Edge
In this talk we'll take a look at the awesome open source library Transformers.js which allows us to run pretrained models right in the browser with no need for servers! Additionally we'll explore how we've brought AI inference and LLMs into Supabase Edge Functions, allowing you to run certain AI workloads faster and more cost-efficiently on the Edge!
—
Thor 雷神 is a Software Developer at Supabase working on DevRel and DX. He's also the organiser of HackerHouse Taiwan, aiming to bring Software Engineer from around the globe together to work from and explore Taiwan.
Get in touch!
hi@guild.host