Launching Your Product in the US: Hacker News, Product Hunt and Reddit in 2026
How to launch your product in the US in 2026 with Hacker News, Product Hunt and Reddit: the rules, real numbers from YC startups, and Anthony Riera's method.
Blog
We regularly share practical resources for startups
OpenVC in 2026: Review, Pricing and How to Use It to Raise Funding
OpenVC in 2026: our review of the free investor database, Premium pricing, how reliable the profiles are, and a step-by-step method for finding investors.
Edge AI: running AI on the device, and when to do it
Edge AI means running AI on the device itself. Definition, how it works, benefits, hardware (Jetson, Coral, Edge Impulse) and the five criteria for deciding.
French humanoid robots: who builds what, at what price
Wandercraft, Uma, Enchanted Tools, Pollen: the map of French humanoid robots, how they're used in factories and services, what they cost, and where to position yourself.
HEC Paris Incubator: how to get in (even without an HEC degree)
HEC Paris Incubator: entry requirements, price (€300/month), the three-batch calendar, the four selection stages, and how to get in without an HEC degree.
Incubators and accelerators in Strasbourg: the founder's guide
SEMIA, 1Kubator, pH8, Nextmed, ISU, Fluxus: Strasbourg's incubators and accelerators compared, with costs, entry criteria and the right path for your stage.
World models: Yann LeCun's bet on what comes after LLMs
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.
How to Get Accepted to a Luma Event (Even When It's Full)
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: Definition and Stack for Startups
Physical AI perceives, decides, and acts in the real world. This pillar walks the full loop, from sensors to field feedback, then ties each layer back to the decisions a founder has to make: wedge, data, distribution, moat.
