VQV Signal

ROBOTS & HARDWARE WATCH TECHNICAL

Founders Inc. hosts 200-person physical AI hackathon at SF lab Nov 7–8

According to a post on X by @fdotinc, Founders Inc. is hosting the MakerMods Physical AI Hackathon on November 7–8 at its Fort Mason lab in San Francisco. The event uses bimanual robot arms and Dream Labs' Dream-1 model, and includes a skill-scored leaderboard track and a creative track. The post also lists an AWS Startups session on physical AI on November 4 and a SoftBank speaker, Angela Du, among other events.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-02T19:45:00+00:00 Detected 2026-11-02T22:32:57+00:00
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According to a post on X by @fdotinc, Founders Inc. is hosting the MakerMods Physical AI Hackathon on November 7–8 at its Fort Mason lab in San Francisco. The event uses bimanual robot arms and Dream Labs' Dream-1 model, and includes a skill-scored leaderboard track and a creative track. The post also lists an AWS Startups session on physical AI on November 4 and a SoftBank speaker, Angela Du, among other events.

AI-assisted summary based on the listed source.

Founders Inc. (f.inc) is hosting the MakerMods Physical AI Hackathon Nov 7–8 at its Fort Mason lab, with bimanual robot arms and Dream Labs' Dream-1 model, a skill-scored leaderboard track and a creative track. Around it: an AWS Startups session on physical AI on Nov 4, SoftBank's Angela Du and Morrison Foerster's...

Robotics builders and founders interested in physical AI can see a hands-on event built around real bimanual robot arms and a named model. Teams in the leaderboard track will be scored on skill, while the creative track offers a different way to compete. Readers should check the full event listing for registration details and the final speaker lineup.

Hardware and robotics watchers may want to track whether this becomes a product, benchmark, or deployment signal.

Signal Strength 92% Technical label WATCH Public Interest 29 Category ROBOTS & HARDWARE Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 0 Novelty Interest Score 70 Consequence Score 30 Curiosity Score 64 Shareability Score 41

VQV surfaced this signal because it is recent, relevant to Robotics, connected to Scobleizer News Pulse (X).