We regularly share practical resources for startups
World models explained: definition, how they differ from LLMs, Yann LeCun's bet with AMI Labs, the models you can actually access (V-JEPA 2, Cosmos, Genie) and what founders can build with them.
On Luma, the host sees exactly two things before approving your registration: your public profile and your answers to the registration questions. Here's what they look at, how to fill out your profile in ten minutes, and what to do when the event is already full.
Physical AI perceives, decides and acts in the real world. This pillar guide follows the full loop, from sensors to field feedback, then ties each layer to a founder's decisions: wedge, data, distribution and defensible advantage.
Antler invests before the team even exists. The day zero model, investment thesis, check size, equity and application process for Antler France in 2026.
Programs, selection criteria, monthly cost, timeline, and what to do if you get rejected: a founder's guide to applying to Station F.
Background, role at Kima Ventures, ticket size, decision criteria and follow-on: a profile of Jean de La Rochebrochard for founders preparing to pitch him.
Linksium, Tarmac, IncubaGEM: Grenoble's incubators compared, sorted into deeptech or generalist tracks, with entry requirements, costs and equity terms.
Incubators and accelerators in Nice and Sophia Antipolis: entry criteria, cost, equity, and duration, compared organization by organization for founders.
Le Poool, 1Kubator, Innostart, INSA Rennes: Rennes incubators and business nurseries compared on cost, duration, equity and entry criteria.
