Eventbrite
Taipei Tech Mixer and Social (Tech / AI / Data / IT) ✨
🧑💻 Tech Mixer🤝 Networking Event🍻 Afterwork Drinks🤖 AI & Data💡 IT Professionals
日時
3 hours7月3日 (金) • 午後 7:00 - 午後 10:00
主催
主催者
料金
無料で参加
日時
3 hours7月3日 (金) • 午後 7:00 - 午後 10:00
主催
主催者
料金
無料で参加
日時
3 hours7月3日 (金) • 午後 7:00 - 午後 10:00
主催
主催者
料金
無料で参加
日時
3 hours7月3日 (金) • 午後 7:00 - 午後 10:00
主催
主催者
料金
無料で参加
After work, before the next big idea.
A relaxed evening for the people building, debugging, designing, shipping, analyzing, and occasionally asking “wait, why is production doing that?”
This mixer brings together tech, AI, data, and IT folks in Taipei for afterwork drinks and easy conversation — no keynote, no forced icebreakers, no business-card Olympics. Just a friendly room of people who understand the joy of a clean deploy and the pain of a mysterious dashboard spike.
Whether you’re a developer, analyst, founder, product person, engineer, operator, student, or simply tech-curious, you’re welcome. Bring a friend, bring a question, or just bring yourself and see who you end up talking to.
A good night here might mean meeting your next collaborator, finding someone who actually understands your stack, or discovering that half the room has the same opinions about AI tooling.
日時
3 hours7月3日 (金) • 午後 7:00 - 午後 10:00
主催
主催者
料金
無料で参加
After work, before the next big idea.
A relaxed evening for the people building, debugging, designing, shipping, analyzing, and occasionally asking “wait, why is production doing that?”
This mixer brings together tech, AI, data, and IT folks in Taipei for afterwork drinks and easy conversation — no keynote, no forced icebreakers, no business-card Olympics. Just a friendly room of people who understand the joy of a clean deploy and the pain of a mysterious dashboard spike.
Whether you’re a developer, analyst, founder, product person, engineer, operator, student, or simply tech-curious, you’re welcome. Bring a friend, bring a question, or just bring yourself and see who you end up talking to.
A good night here might mean meeting your next collaborator, finding someone who actually understands your stack, or discovering that half the room has the same opinions about AI tooling.