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Open Court x AI Tinkerers Summer Mini Hackathon (with Tom Blomfield)
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Open Court x AI Tinkerers Summer Mini Hackathon (with Tom Blomfield)
This July, LocalGlobe’s monthly meetup Open Court and the AI Tinkerers community are coming together to host an epic summer mini hackathon.
With credits from OpenAI, ElevenLabs and Lovable, this hackathon will also be a chance to get to know Tom Blomfield, Group Partner at YC and former CEO of Monzo.
Of course, there will be plenty of summer-themed food & drinks and fun prizes for the best hacks that people come up with. Feel free to wear your best summer outfit / Hawaiian shirt.
This hackathon is for builders, whether you’re a founder, aspiring founder, or engineer. We’re going to be testing how much faster AI can help people build, so it’s a mini hackathon: what can you achieve in just 2.5 hours?
Agenda - July 17
- 5 pm - doors open
- 5:30 pm - welcome + 15 min fireside with Robin Klein (LG) + Tom Blomfield (YC)
- 6 pm - mini hackathon kick-off
- 8:30 pm - hacks submitted
- 9 pm - judging & prizes
- 10 pm - doors close
Prizes, sponsored by LocalGlobe, Vanta, Axiom and Gradient Labs
- First place - £1,000
- Second place - £500
- Third place - £200
Judges
- Tom Blomfield, YC
- Nad Chishtie, Lovable
- Luke Harries, ElevenLabs / AI Tinkerers
- Ferdi Sigona, LocalGlobe
- Danai Antoniou, Gradient Labs
- Alice Guo, OpenAI
Please fill out the application form here completely—space is VERY limited. We will accept registrants on a rolling basis and get back to everyone by the Thursday before the event. You can play single-player or multi-player with teams of up to 4 people.
About Open Court
Open Court is a monthly meetup hosted by LocalGlobe. When not a hackathon, it’s a dynamic evening of live demos, show-and-tells and candid tech conversations. Discover cutting-edge products firsthand, hear stories from top founders, and engage in deep dives on bold tech ideas - all while enjoying delicious street food and drinks.
About AI Tinkerers
We’re a global community of engineers actively building and working with foundation models, such as large language models (LLMs) and generative AI.