Cover Image for kindler v1
Cover Image for kindler v1
Private Event

kindler v1

Hosted by Ian Wang & Humza Salam
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About Event

​About Kindler

​Kindler is a deep tech show & tell. Scientists, engineers, founders and students each take ten minutes to show what they’re working on and why it excites them. Works-in-progress welcomed, nerding out encouraged.

​F&B on us!

​What this is

  • ​Six short, casual talks, 10 minutes each including questions

  • ​A room of people from other fields who want to understand your work

  • ​An hour of conversation after the talks

​What this isn’t

  • ​A pitch night. Don’t bring a fundraising deck. Nobody here is selling anything. We do not care if you have EBITDA or LOIs.

  • ​A conference talk or a poster session. Nothing needs to be polished.

  • ​A recruiting fair.

​Most importantly, be creative and have fun!

​What makes a good talk

​Keep it simple: one problem, one idea, one takeaway. Explain it so someone outside your field can follow. Enthusiasm matters more than polish. Most of all, have fun with it.

​Example topics

  • ​A startup you’re building, or thinking about building

  • ​A result, or a wall you hit, in your lab this year

  • ​A method you’re still developing

  • ​A niche obsession and why it matters

  • ​A think piece on where your field is going (AI safety, ethics, the future of science)

​How To Present:

​When you register, tell us in a short sentence on what you’d talk about. We review applications as they come in, and there are six slots. Speaker applications close October 21.

​Agenda:

​6:00 — 6:25: Doors Open

​6:25 — 6:30: Opening Remarks

​6:30 — 7:00: Presentations Block A

​7:00 — 7:30: Break

​7:30 — 8:00: Presentations Block B

​8:00 — 9:00: Conversations Hour

​About Amplify Capital

​Amplify Capital is a Toronto-based venture fund that backs founders in industries without easy answers: technical, regulated, harder to get right. We invest from pre-seed to Series A across North America, in deep tech for health, energy and climate, and in AI built for those fields. Every company we back has to do real good and be a great business at the same time. We’ve backed around 30 companies across three funds with ~$110M AUM.

​LinkedIn | Twitter/X

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