Introducing gl1-seq: verifiable version control for genomes, genes and proteins.
Permanent identifiers, full history and proofs anyone can check, with the human reference genome coming this month on chain on GenesisL1.
https://t.co/SxLput4vmo
Love seeing Coinbase CEO Brian pushing for open, reproducible science.
This is exactly where GenesisL1 gets interesting.
#GL1X already provides on-chain molecular records, bioinformatics tools and AI agent access.
The next ambition? Git for genomes.
We’re still early. $L1
Brian, you’re literally describing the vision behind @genesis_L1
A permissionless Layer 1 blockchain being built specifically for decentralized science and verifiable AI.
🧬 GL1-Seq: Git-like versioning and verifiable provenance for genomic data.
🔬 GL1X: An already operational bioinformatics laboratory with hundreds of thousands of molecular records, scientific analysis tools and blockchain-verifiable data.
🤖 GL1F: Reproducible ML inference, with models published as NFTs and executed deterministically on-chain.
🌐 AI agents: Direct access to scientific tools and molecular data through MCP and APIs.
And there’s more being built around scientific IP, collaboration and monetization.
The idea is to make scientific data, models and computational results easier to verify, reproduce, share and build upon.
Not just publishing scientific discoveries, but building infrastructure that allows others to independently verify and extend them.
A significant part of this infrastructure is already live.
Would genuinely love to see you take a look at what GenesisL1 is building.
I've never seen this kind of accumulation and conviction in a crypto project at such an early stage.
For real. Genesis genesisl1:native looks insane from every angle.
While the crypto space has become increasingly chaotic and exhausting, learning about GenesisL1 makes you feel confident and very comfortable going long on Web3 again and just chilling for the long term.
Before showing some numbers, let me mention something that instantly increased my conviction by 10x.
I was lucky enough to discover this ecosystem back in June. After doing some proper research, I was looking to build a big position, but there was no real way to do that because the token was only listed on Osmosis DEX with very little liquidity. (Now we have much better liquidity on Uniswap on Base.)
So I started privately reaching out to validators and even the founder, looking for a big OTC deal. But guess what? Nobody wanted to sell me any tokens!
Now let's talk numbers.
Back in June, when I joined their TG channel, there were only 120 members in total, and the token was trading at $0.05, with daily volume ranging between $500 and $3,000.
Now, 5 months later, the TG channel has 430+ members (100% ORGANIC), the token is trading at $0.20 after reaching an ATH of $0.37, and the volume is much, much higher than before, surpassing $100K in daily volume for a few times and even $200K+ on some days.
The level of conviction is absolutely insane, considering how few people actually know what's going on with this project.
If such a small group of people can generate this level of conviction and accumulation, imagine what could happen when 5K, 50K, or even 100K people discover what's actually being built here.
I was also in bittensor:native at this kind of early stage, back when it wasn't listed anywhere except on an OTC platform (Bittensorexchange). And even though TAO had a much bigger community and more followers at the time, the trading volume and wallet accumulation looked nothing like what I'm seeing here.
There are multiple wallets accumulating genesisl1:native almost every single day, for weeks straight. New addresses keep popping up with crazy buys, sometimes $20K+ in a single transaction. Might be some VCs accumulating or big crypto influencers loading up their bags before they start talking about the tech.
And maybe it's no coincidence that all these big AI companies and influential names like Elon are increasingly talking about biotech in the last period.
We might be looking at the next massive narrative, because what AI could unlock in biotech is absolutely insane.
The founder would probably ban me for this post lol, because he hates this kind of price related shilling. But I'm sure seeing this momentum can encourage a lot of people to join the ecosystem and eventually start building here.
I will leave the tech article about the project in the comments section so he would forgive me haha.
LEARN GenesisL1.
@brian_armstrong This is exactly what Genesis L1 is performing on chain. “Every protocol is a building block for the next.
Verifiable scientific data at the base. Deterministic compute and open AI on top of it. Applications that snap the pieces together.
#genesisL1 genesisl1:native
One trader bought 100k base:0xe6522a891702cd2e8cc2a5182638c9da1dd44b22 2 months ago at 10 12, and sold today at 18 16... Congrats on the 60% gains.
VC wallets are saying thanks and actively slurping.
A new wallet looks to be buying like the 2 VCs wallet.
Just new. But the same ways.
They can't help buying the dips.
VC level of entry on genesisl1:native
Chain and project is pure insanity. Nothing goes 100x in 5 minutes in this world.
You gotta buy when the market is like now. Things that look to be huge, just before they are huge.
Like the Early $Tao whales are saying. This is like Tao when they were the first on it.
Gl.
This is how you bring REAL utility and adoption to blockchain. genesisl1:native
#GenesisL1 is building something much bigger than another crypto ecosystem.
🧬 A free bioinformatics lab where scientists, researchers, and AI agents can analyze proteins, explore drug discovery, study mutations, and build AI models.
Why does this matter?
Because people don’t need to care about crypto to use it.
🔹 Researchers get powerful scientific tools for free.
🔹 AI agents can automate complex research.
🔹 Developers can build and monetize AI models and services.
🔹 More users and applications can create real demand for GenesisL1 infrastructure.
Free tools attract users. Useful products keep them. Models and services create economic opportunities.
That’s how an ecosystem can grow beyond speculation.
Real science. Real utility. Real potential for adoption.
And this is just the beginning. 🔥
$L1 🌱
Dear BioAI, MedAI, SynBio and biohacking community,
We are very happy to present the very first on-chain bioinformatics laboratory, as a part of the broad GenesisL1 decentralized science architecture:
https://t.co/ztmJExp1u0 — Bioinformatics Onchain
Free. No account. Open to humans, programs and AI agents.
What it is
GenesisL1 carries hundreds of thousands of protein and nucleic acid structures published as MolNFT records, stored in contract state or anchored on chain with CID-verified IPFS content. GL1X treats that archive as a scientific database and runs the standard methods of sequence and structure bioinformatics over it, in its own code, with no external services, and each method validated against its reference program.
This is not a wrapper around someone else's server. It is a laboratory that lives on the chain.
What you can do today
🔎 Search & homology — molecular search by PDB ID, UniProt accession, NFT id, title, sequence or motif; full BLAST (blastp/n/x, tblastn, tblastx) over every sequence, identical to NCBI BLAST+ on the test set; PROSITE-style motif scans across sequences and 3D structures; profile HMM search reproducing the hmmsearch pipeline.
🧬 Structure — TM-align superposition of any chain against any other (or your own file); structure search over every indexed chain in seconds via the GSA structural alphabet; pre-computed experiment-vs-prediction comparisons for every UniProt accession present as both.
🔬 Full-atom analysis in the research workbench — DSSP secondary structure and H-bonds, accessibility, half-sphere exposure, contact maps, base pairs with pseudoknots, chain interfaces with buried surface, salt bridges; SS-pattern search (β-hairpins, helix-turn-helix); 3D templates for catalytic triads and metal sites.
💊 Pockets & druggability — cavities with volume, buriedness, hydropathy, charge and a druggability score, searchable across every structure; a ligand index of every cofactor, drug, ion and sugar with its binding-site residues.
🧪 pH environments — structure-based pKa for every ionizable group; charge, pI and stability of a protein in the stomach, intestine, blood, cytosol, endosome or lysosome, with membrane proteins getting a pH on each side.
⚗️ Proteomics — digestion by 24 enzymes, proteotypic peptides across the archive, masses, fragments, isotope patterns, MGF spectrum identification with target-decoy FDR, crosslink checks, HDX/LiP painting, a virtual 2D gel.
🌳 Families, evolution & variants — multiple alignment at MUSCLE-level accuracy, Jensen-Shannon conservation on the structure, NJ trees, mean-field DCA coevolution vs contacts, CD-HIT clustering, disorder/coiled-coil/TM annotation, substitution scans and ΔΔG from GL1F models.
📊 Datasets & on-chain ML — turn any search into a dataset (JSON/CSV/TSV) with documented features, or straight into GL1F model inputs; train off chain, publish the model as an NFT, run it on GenesisL1 on any record.
📚 Literature — PubMed search with up to 2,000 records clustered into a topic map in your browser (Broccoli), every structure linked to its literature.
✅ Proofs — every sequence in every result can be re-derived from the chain at a pinned block and from IPFS, with the calls to replay on your own node. Every hit names the record and the SHA-256 of what it describes. Deterministic answers, reference parity, held-out evaluation.
🤖 Agent-native — every tool above is an MCP tool and an API endpoint. An agent can identify a molecule, BLAST it, find its structural neighbours, analyse its pockets, digest it, align its family, scan its variants, read its literature, build a dataset, run a model and prove the sequences, end to end.
Where this is going
This is the opening move. The horizon is expanding constantly: the full human reference genome and pilot genomes are coming into chain state through GL1-seq, with 1000+ public genomes to follow, alongside Swiss-Prot, RefSeq proteins, UniRef50, paired antibody repertoires and IPD-IMGT/HLA. Peptide design (PEPTL), confidential IP (CIPNFT), scientific DAOs (COLLAB) and DeSci finance (DESCIFI) are being built around the same core.
Our aim is simple and ambitious: hundreds of thousands of researchers working on decentralized infrastructure, with tools and services for open science expanding at a pace the field has not seen before.
This is an invitation
Research on chain. Build on chain. Point your agents at the MCP server, call the API, fork the explorer, publish a model, mint your structures. Everything you compute here is provable, reproducible and belongs to no single server.
→ https://t.co/ztmJExp1u0 · Docs: https://t.co/JJHkPSjCYx · API: https://t.co/0uwYo1LlXk · MCP: https://t.co/UnWL7y4zBE
Welcome to the laboratory.
GenesisL1
In the past 2 days there have been a few hundreds of new $L1 holders.
There are a lot of people that don't know how to buy wL1 on Base, how to bridge it to GenesisL1 native token and how to stake those tokens.
This video will help you do that in under 5 minutes.
Make sure to share it so other can follow all the steps here.