67 Teams Built On 0G.
At ETHGlobal Lisbon, 67 projects submitted to 0G’s $15,000 prize tracks.
0G opened every repo.
Each project went through a repo-level integration review, plus a mandatory live demo in front of judges. The verified result: 57 of 67 projects, or 85%, had meaningful 0G integration sitting in their repositories.
That is the difference between sponsor-checkbox adoption and code that actually used the stack.
The usage was broad across 0G’s infrastructure. Repo review found 82% using 0G Compute, 67% using 0G Storage, 46% using Agentic ID, and nearly half touching 0G Chain.
Storage showing up as the second layer is the useful signal because builders used it for persistent agent memory, encrypted run histories, content-addressed skill packs, and learning lineage.
The first-place winner, 0run, used all four components in one product: an AI running coach athletes own, with each coach living as an Agentic ID on 0G Chain, encrypted memory on 0G Storage, and TEE-attested reasoning on 0G Compute.
Repo review also found more 0G Storage and Agentic ID usage than the submission write-ups claimed.
The repos knew more than the forms.
$SUI and $NEAR showed how quickly builder ecosystems move when developers have usable infrastructure. ETHGlobal Lisbon gave 0G the cleaner proof: 67 submissions, every repo reviewed, and 57 meaningful integrations verified in code.
#0G #AI
At ETHGlobal Lisbon, 67 projects submitted to 0G’s $15,000 prize tracks.
0G opened every repo.
Each project went through a repo-level integration review, plus a mandatory live demo in front of judges. The verified result: 57 of 67 projects, or 85%, had meaningful 0G integration sitting in their repositories.
That is the difference between sponsor-checkbox adoption and code that actually used the stack.
The usage was broad across 0G’s infrastructure. Repo review found 82% using 0G Compute, 67% using 0G Storage, 46% using Agentic ID, and nearly half touching 0G Chain.
Storage showing up as the second layer is the useful signal because builders used it for persistent agent memory, encrypted run histories, content-addressed skill packs, and learning lineage.
The first-place winner, 0run, used all four components in one product: an AI running coach athletes own, with each coach living as an Agentic ID on 0G Chain, encrypted memory on 0G Storage, and TEE-attested reasoning on 0G Compute.
Repo review also found more 0G Storage and Agentic ID usage than the submission write-ups claimed.
The repos knew more than the forms.
$SUI and $NEAR showed how quickly builder ecosystems move when developers have usable infrastructure. ETHGlobal Lisbon gave 0G the cleaner proof: 67 submissions, every repo reviewed, and 57 meaningful integrations verified in code.
#0G #AI