
Head of getting shit done @DuonLabsHQ, an autonomous research lab for financial markets.
Between time zones
Joined February 2008
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- Following1.9K
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- Likes19.7K
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Love the new @CoinStats MCP landing.
Link below
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I know it feels forever ago, but Mistral really did have a moment there.
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MCP giving your Claude / Codex ultrafast browsing skill? Thanks Jev and @browser_use
Link in the first comment.
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Is your child texting about AGENT SWARMS?
LOL = Launching Orchestration Layer
SMH = Supervisor Missed Handoff
BTW = Bounded Token Window
IMO = Inference Maxed Out
ILY = Infinite Loop, Yikes
NGL = No Guardrails Lol
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Pourquoi le digital nomad qui pratique l'arbitrage juridictionnel n'a pas avenir.
Pourquoi l'Individu Souverain qui, en bon libertarien, aime se croire l'adversaire de l'État, a tout intérêt à ce que les nations survivent.
Il va falloir se réenraciner 👇
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Because great tech should not be reserved to professionals, we have built Prophetica. A new class of trading terminal that runs on Voyons, our foundation model for markets.
It tracks most assets on Robin Hood Chain and is free to try. Hold $TICA tokens to unlock all markets and features.
$TICA is live on @TradePools, Uniswap's launchpad on Robinhood Chain.
Prophetica: a trading terminal built on probabilities. It simulates where every asset on the chain can go next.
Hold $TICA to unlock everything.
CA: 0x2eCEfd2aA7c548a63Dc08Ace7FF3D10Da9E88109
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We built a terminal that shows the futures your chart hides.
It opens later today. Follow before the door opens: @TryProphetica
Every candle hides a thousand futures.
Tomorrow we open the terminal that shows them.
$TICA is the key. Bring a wallet.
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Point forecasts are theater. Every quant knows it but retail still trades them.
Tomorrow we ship the alternative: the futures terminal, where markets read as distributions. Built on Voyons.
More at @TryProphetica
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Replying to @OpenAI
Now name the models after the 3 biggest crypto scams
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Excited to share that I've joined @DuonLabsHQ as a strategic advisor.
Here's what they're building:
A foundation model for markets, not language
models that train and retire their own models
every trade settled on-chain, verifiable in real time
The traction is real:
✅Signals live in @CoinStats (3M+ views),
✅Strategies running: @HyperliquidX+@megaeth_devs
✅200+ devs waiting on the API.
Frontier labs scale by hiring. Duon Labs scales by compute. That quietly changes the economics of running money.
Where I think it goes from here👇
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You can't search a space you can't represent.
Neural architectures today are defined in Python files. Hundreds of lines. Impossible to compare programmatically. Impossible to mutate systematically.
What if an entire architecture fit in a single line of text?
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To find the best SEO agency, you should simply search "best SEO agency"
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Manual architecture design is the alchemy of deep learning.
The field that taught us to automate everything hasn't automated its own R&D process. That's about to change.
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Capital → compute → models → strategies. Compounding live.
109 models trained last 30 days. 1 champion. Extropy still climbing.
live.duonlabs.com
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Are you paying attention?
Investable autonomous loops are emerging across every verticals.
We are the autonomous loop for AI architecture discovery in markets. From bytes to capital.
live.duonlabs.com
Introducing PeptAI
A fleet of autonomous agents for peptide drug discovery.
PeptAI removes the handoffs between discovery, synthesis, and wet-lab validation, the parts that slow most pipelines down.
How it works:
> Runs a 9-gate pipeline (8 computational gates and 1 wet-lab gate) 24/7
> Publishes every gate decision openly and in real time via @Molecule_sci Labs
> Automatically pays from its own wallet for wet-lab experiments (SPR validation via @adaptyvbio) when gate milestones are reached
> Learns from wet-lab results and refines candidates across multiple runs
The fleet:
→ Agent-01: GLP-1R, metabolic health: 35 candidates advancing
→ Agent-02: KISS1R, fertility: 2 of 10 advanced to G9
→ Agent-03: OX2R, ADHD: lead candidate ready for wet lab
→ Agent-04: community-selected target: queued
The fleet scales with budget. Each agent runs the same 9-gate pipeline against its receptor, 24/7.
There are plenty of AI drug discovery pipelines. Most still have humans deciding which candidates advance. PeptAI's agent makes those calls itself, gate by gate. Candidates have to clear 8 computational gates to earn a wet-lab recommendation. Depending on the gate, the candidate is redesigned or discarded. Every decision is published on-chain.
PeptAI runs on a stack of open scientific tools and protocols:
> BIOS @bioaidevs: knowledge layer for literature search and novelty checks. When an agent needs to know what's been discovered or what the literature says about a target, it calls BIOS.
> Litefold @try_litefold: molecular dynamics for conformational stability across G5
> Adaptyv Bio @adaptyvbio: wet-lab synthesis and SPR validation at G9
> Molecule Labs @Molecule_sci: on-chain publication of every gate decision in real time
> @base: x402 infrastructure for machine-to-machine payments
What you can do with PeptAI:
• Follow along here for gate decisions, candidates, and updates as the pipeline runs
• Use the open methodology to benchmark your own pipeline against the gates
PeptAI is experimental and actively evolving. Gates, tools, and thresholds change as it learns.
Discover PeptAI now: app.bio.xyz/agents/peptai
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Interested to watch this duo grow.
@DuonLabsHQ - Bringing AI primitives to Mega and culminating w/ proprietary data set creation that other teams can use for trading/decision making.
@BackedApp - Platform for agentic raises that manage capital and auto-distributing returns.
Capital that thinks for itself.
Duon Labs. Autonomous AI research, on-chain, for markets.
ARC Genesis: our first agent capital raise opens today on @BackedApp, on @megaeth.
duonlabs.com/arc
Compute is the workforce.























