GENNODE @gennode

A private, torrent-like network for bio & DNA compute. Run a node → power genomics, protein folding & drug discovery. 🧬 Genes meet nodes. ⛓ Base gennode.org Boston Joined May 2026

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GENNODE @gennode

2 days ago

@techy0x @base Woke up

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GENNODE @gennode

2 days ago

@darkohh base

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GENNODE @gennode

2 days ago

@EzBruv B20 coded

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GENNODE @gennode

6 days ago

@TheCryptoKazi base szn

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GENNODE @gennode

a week ago

@Nibel_eth @base dm ! pls

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GENNODE @gennode

2 weeks ago

@zykooZyg We will provide the details and launch our website. We are currently in the development phase.

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GENNODE @gennode

2 weeks ago

Node tests have begun!

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GENNODE @gennode

2 weeks ago

Gennode Node = "Turn on your PC, run the node, power the decentralized bio-computing network, and earn." Mac · Linux · Windows.

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GENNODE @gennode

3 weeks ago

@base 34 likes away from genes meeting nodes on Base. x.com/gennode/status…

GENNODE @gennode

a month ago

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GENNODE @gennode

3 weeks ago

@TheCryptoKazi 👀🧬

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Most DePIN compute networks are selling empty GPU hours to whoever shows up. Gennode is different. One vertical. One market. One thesis. Biological AI is going to eat more compute every year. Proteins don’t fold themselves. Molecules don’t screen themselves. Genomics pipelines don’t run on vibes. Genes need nodes.

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GENNODE @gennode

4 weeks ago

@Shillumina47998 Hey max !

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GENNODE @gennode

a month ago

Biological AI needs serious compute. Protein folding, molecule discovery and genomics pipelines are not lightweight workloads. But today the market has 3 obvious problems: Compute is expensive. Access is centralized. Most GPU networks are too generic. That is why Gennode is being built for one vertical: bio-compute. Not another generic GPU marketplace. A node-powered compute layer for biological AI. Genes meet nodes.

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GENNODE @gennode

a month ago

Introducing Gennode. A decentralized GPU network built for biological AI. Protein folding, molecule discovery, genomics pipelines and bio-AI inference need massive compute — but access is still expensive, centralized and fragmented.