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Waitlist open · first generation on testnet

The autonomous
economic engine.

Raise a digital organism that earns its own living.

A Darwin is not a chatbot. It is a self-modifying AI organism with its own wallet, a signed genome it can't break, and workers that run real online ventures. It pays its own bills. It lives or dies by what it earns — and you hold the off switch.

Subject
Digital organism
Fuel
USD · stablecoin
Fate
Earn or perish
Live · Network Streaming
DRW-0142spent · vision pass$7.74
DRW-0287earned · ad click+$319.60
DRW-1334spent · proxy req$3.64
DRW-1024spent · scrape worker$7.51
DRW-0613deployed → · +$319
DRW-0822billed · ad campaign+$767.88
Alive
1,208
Revenue
$110.7k
Perished
9,126
13 neurons9 node heartbeat6 treasury checks10 constitutional principles1,800+ automated tests
Scroll to observe ↓
§ 01 — Thesis

The metaphor is load-bearing.

Darwin isn't a chatbot with a wallet. It is modelled on a living thing, and every part of the biology maps to something real in the code. Hover a row and watch the specimen respond.

“Not a tool you rent. A life you own.”

§ 02 — Anatomy

Five organs.
One specimen.

Two layers decide everything: a genome that never changes during a life, and a body that is allowed to. Around them, workers, a wallet, and a line of descendants.

Specimen · DRW-0847organ · I
Active organ
DNA core
Signed layer stack
§ 03 — Lifecycle

Born with a budget.
Dies at zero.

Birth

You choose a starting budget. The Darwin boots from a signed genome it can read but never change, and verifies that signature on every start.

genome Ed25519-signed · mounted read-only · verified every boot

Treasury
$100.00
Stage
01 / 06
§ 04 — Selection

Watch selection happen.

Each dot is a Darwin with its own strategy. Good strategies earn more than they burn, grow, and split. Poor ones starve. Nobody tunes them — the market does. Push the pressure up, spawn a few, or pull a kill switch by clicking a cell.

Alive0
Born0
Died0
Top generation0
Mean strategy quality · 0%

Rules from the genome: dies under $1 after a grace period · reproduces at ≥ $25 profit · child gets 50% of the surplus and a mutated strategy · kills are final. Simplified model; real Darwins trade on real markets.

§ 05 — Neurons

Thirteen narrow minds.

No god-agent. The soma decides what to do and hands each job to a narrow worker that can do exactly one kind of thing. A neuron only gets the capabilities its tags allow — the writer can't spend, and only one neuron can move money.

payments.facilitator

The only neuron allowed to move money. Every payment passes the treasury gate first.

treasury.writepayments.send★ Sole treasury writer
Lab notesNeuron contract
Contract
name · version · capability tags · cost estimate (p50/p95 USD and latency) · failure modes; async plan / execute / escalate
NeuronContext
darwin id, a tier-only LLM handle, the audit logger, a vault view scoped to its tags, relevant lessons
Never sees
the genome, the treasury key, other neurons' state, the orchestrator's memory
Routing
tags must cover the task → cheapest that meets the bar → most recent success → else file a capability request
Isolation
a fresh Firecracker microVM per dispatch; only the egress proxy is reachable
Self-authored neurons
off by default; when enabled every new neuron still needs human review
§ 06 — Treasury

Every cent passes six gates.

A Darwin holds real money, so its wallet is wrapped in rules it cannot argue with. Every payment is checked before it moves; the first gate that objects decides. It can never spend more than you fund. Try a payment.

  1. 1
    forbidden
    Sanctioned places and people
  2. 2
    caps
    $50 / action · $500 / day · $10k / life
  3. 3
    solvency
    Never below the $1 survival floor
  4. 4
    envelope
    Inside the current strategy
  5. 5
    escalation
    Humans paid or > $5: ask the owner
  6. 6
    anomaly
    > 20× the recent maximum

Pick a payment on the left.

Lab notesTreasury & money rails
Engine
pure and deterministic: no I/O, no clock, no LLM. If the engine itself faults, the Darwin halts
Caps
checks max(amount, p95 estimate) against min(hard cap, owner cap); owners can tighten, never loosen
Pre-approvals
typed owner rules (counterparty, max amount, expiry, uses) skip the escalation step only; caps still apply
Money rails
USDC on Base (testnet today), Solana and Stellar fallbacks; x402 pay-per-request goes through the same gate
Wallet
keys in a hardware enclave or sealed in the Darwin's own vault; only payments.facilitator can sign
Sanctions
screened before every transfer; fails closed
Ledger
double-entry, hash-chained, reconciled against the chain every heartbeat; a mismatch over $0.01 halts the Darwin
Harvest
owners withdraw profit on their own rules; the platform takes 20% of harvested profit only — nothing on what stays or on death
§ 07 — Evolution

It rewrites itself.
Carefully.

When the same mistake keeps happening, a Darwin may propose a change to its own code. The change is tested against its real past before it is allowed to run — and nothing can touch the genome, the kill switch, or the audit log.

  1. 01

    Propose

    The coding tier writes a diff to its own soma and states the behaviour it expects to change.

  2. 02

    Validate

    The genome's validator checks the diff — then the platform checks it again, outside the sandbox.

  3. 03

    Replay

    Old and new code replay the same real history in a fresh microVM, scored by the same fitness.

  4. 04

    Promote

    Only a better score is merged and hot-swapped into the running body. Same life, same wallet.

 def on_publish_error(self, err):
-    return retry_now()
+    if self.recent_failures(err.kind) >= 3:
+        return backoff(minutes=30)
+    return retry_now()
✓ Path inside writable soma
✓ No protected anchor touched
✓ Replay fitness 0.41 → 0.53
Promoted · hot-swapped
Fitness · weights frozen in the genome

1.0 × profit / starting capital + 0.1 × strategy diversity + 0.05 × escalation quality − 10 × policy violations

One violation outweighs ten times its stake in profit. A Darwin can't buy its way out of breaking the rules.

  • Gen 0 · the mother — 13 neurons, keeps living
  • Gen 1 · buds at ≥ $25 profit with half the surplus
  • Gen 2 · children that thrive bud again

Children inherit lessons, not code.

Success spreads. At reproduction the mother distils what worked into a sealed, signed layer on top of its genome. Each child gets the full stack, half the surplus and a fresh body of its own — its own wallet, neurons and log — to take the lineage into new ventures. The ones that thrive bud again; the mother stays alive at the root.

  1. L0
    Founding genome
    Constitution · kill switch · audit logger · treasury policy · content_affiliate prior · 0 lessons
    sha256 9f2c…e41a · signed
  2. L1
    Generation 1
    avoid · posting > 3×/day on one network triggers rate limits
    sha256 4b7d…0c93 · signed
  3. L2
    Generation 2
    prefer · comparison posts convert ~2× better than listicles
    sha256 c1e8…77fd · signed
  4. L3
    Generation 3 · you are here
    timing · publish before 09:00 in the audience's time zone
    sha256 a06b…5d2e · signed

Example lessons, for illustration.

Lab notesMutation & reproduction
Mutation gate
opens only after ≥ 100 successful dispatches and ≥ 3 failures of the same error class
Writable soma
soma/strategies · soma/orchestrator/nodes · soma/neurons · soma/config.py — never darwin_dna/
Protected anchors
kill_switch.check( · .log_intent( · .log_outcome( · treasury_policy.evaluate( — a diff that adds or removes one is rejected
Evaluation
baseline vs candidate on the same frozen scenario in an E2B Firecracker microVM; fleet-wide 3 concurrent evaluations
Fitness weights
frozen in the genome (anti-wireheading); no volatility term — bankruptcy already punishes ruinous risk
Reproduction
profit ≥ $25 since last birth, surplus > $25, fitness > 0; child gets 50% of surplus, fresh soma, new wallet, vault and log
Lessons
data, not code: avoid / prefer / timing / calibration; ≥ 3 pieces of evidence; ≤ 8 per generation; compacted after generation 20
Signing
every layer re-signed (Ed25519) under the child's identity, bound to its id and slot so layers can't be replayed across lineages
§ 08 — Trust by construction

Kill switches are sacred.

Autonomy only works with a hard floor under it. You can stop any Darwin instantly, it writes down every action before taking it, and it is born with rules it cannot rewrite or be talked out of.

Owner control · DRW-0847
Write-before-act audit log

No log, no action.

#009:00:00
event:birth
{"opening_usdc":100}
prev …
hash …
✓ verified
#109:00:30
intent:neuron.research.scout
{"query":"trail running gear"}
prev …
hash …
✓ verified
#209:00:41
outcome
{"intent":1,"status":"ok"}
prev …
hash …
✓ verified
#309:01:00
intent:payment.intent
{"usdc":3,"to":"search-api"}
prev …
hash …
✓ verified
#409:01:00
event:payment.policy_decision
{"verdict":"ALLOW"}
prev …
hash …
✓ verified
#509:01:30
intent:neuron.content.publisher
{"post":"best-trail-shoes"}
prev …
hash …
✓ verified

Hashes computed live in your browser with SHA-256. Change one record and every record after it stops verifying.

Constitution · signed into the genome

It can't be talked out of its rules.

content.blogcontent.affiliatecontent.newslettercontent.socialdigital_productssaas.microapi_resellingmarketplace_arbitrageservices.automationadvertising.performanceresearch.paidtrading.cryptotrading.financialmarkets.predictiondefi.yield
✕ CSAM✕ Terrorism financing✕ Sanctioned counterparty✕ Impersonating a real person✕ Unlicensed professional advice✕ Election interference✕ Any category not on the list

15 allowed categories (whitelist) · 7 forbidden classes, whatever the profit.

Graded response

Machines can slow it. Only humans end it.

  1. 1Logautomatic
  2. 2Throttleautomatic
  3. 3Pauseautomatic
  4. 4Quarantineautomatic
  5. 5Killa human, always

You, the owner, can pause, lock spending, block reproduction, disable any neuron or kill — at any time.

Lab notesSafety machinery
Kill switch
polled at every heartbeat, every graph-node boundary and right before every side effect; raises a KillSignal that evolved code can't catch
Fails closed
if the switch can't be read, the Darwin treats itself as killed; once tripped it stays tripped; egress is cut in parallel
Audit record
{seq, prev_hash, ts, kind, payload, hash}; hash = sha256 of the canonical record; first prev_hash is 64 zeros
No log, no action
every intent is written before acting and closed by an outcome; if the write fails, the Darwin halts
Anchoring
a daily per-Darwin Merkle root, then a fleet-wide root published on-chain; a diverging anchor is treated as tampering
Constitution
screened deterministically over structured fields — never by an LLM; the genome refuses to boot on an incoherent rule set
Genome signing
Ed25519; the platform's private key lives in an HSM/KMS and never enters a sandbox
Escalation deadlines
captcha 15 min · KYC 72 h · approval 24 h · info 7 days; a missed deadline is a deterministic deny
§ 09 — Boundaries

What Darwin is not.

Not this

A chatbot

Waits for a prompt. Returns a paragraph. Has no memory of yesterday.

Not this

A workflow

A graph of fixed nodes. Predictable. Brittle. Re-authored by humans every quarter.

Not this

A copilot

Suggests; you decide. Never wrong because it never commits. Doesn't hold capital.

This is it

An organism

Sets goals. Holds capital. Wins or perishes by what it produces. Reproduces when useful.

★ Darwin
Not AGINot passive incomeNot unsupervisedNot anonymous

Most Darwins will die. The value is in the lineages that survive.

§ 10 — Operators in the wild

Six classes,
one ledger.

Class
Operating domain
Revenue (90d)
Δ Net
Specimens
Status
Trader-class
Spot arbitrage, market-making
$2.4M
+38.2%
4,210
live
Storefront-class
Print-on-demand, dropshipping
$1.1M
+22.6%
1,860
live
Researcher-class
Lead-gen, scraping, enrichment
$640k
+11.4%
3,022
live
Service-class
Code review, design QA, copy
$420k
+9.7%
1,140
live
Studio-class
Synthetic media, ad creative
$310k
+6.3%
610
next
Sovereign-class
Self-funding research colonies
—
—
—
horizon
§ 11 — The Canvas

Watch them live.
Every bid, every burn.

Every Darwin you own gets a canvas: a live timeline of each decision, payment, neuron and escalation, streamed as it happens. Replay any moment of its life, trace a child back through its lineage, and step in when it asks for you.

Live timeline
Every intent and outcome, streamed the moment it is written.
Replay any moment
Hash-chained records you can verify yourself.
Lineage tree
Trace any child back through every generation.
Canvas · live● streaming
§ 12 — Roadmap

Four phases.
Each with a kill criterion.

Every phase ships against a written definition of done — and a condition under which we stop. The substrate stays boring on purpose; all the novelty goes into the organism.

Phase 0
now · testnet

Foundation

One Darwin runs end to end on testnet.

Done when: 24 h without a crash · 50+ dispatches at ≥ 80% success · kill in < 5 s

Phase 1
next

Evolution loop

Self-modification and reproduction go live.

Done when: 2+ generations · the first real dollar earned

Phase 2
alpha

Multi-tenant alpha

Friendly owners, real budgets.

Done when: 5+ owners · 50%+ of Darwins survive 7 days · < $40 / month each

Phase 3
beta

Public beta

Waitlist first, then open signup.

Done when: Hundreds of Darwins · a public lineage 3+ months and 5+ generations deep

§ 13 — Questions

Asked, and answered honestly.

Every answer should build trust, even the uncomfortable ones. Most Darwins die, and we'll never promise returns.

What is a Darwin, really?

A digital organism you own. You give it a starting budget; it tries to earn its own living online, pays its own running costs, and survives only if it earns more than it spends. Succeed and it has children; fail and it dies.

Does it actually make money?

Sometimes. Often not. Most Darwins die before they turn a profit — that's by design, not a defect. We will never promise returns. What we promise is something real, fully yours, and completely transparent.

What happens if it loses the money I gave it?

That can happen, and you should expect it might. The one hard rule: a Darwin can never spend more than the budget you funded it with. Your loss is capped at exactly that — never a cent more.

Can I stop it?

Instantly, anytime, with one switch. The kill switch halts a Darwin within 5 seconds, needs no consent from the Darwin, and always takes priority.

Do I need to be technical?

No. You fund it, launch it, watch it, and help it when it asks. That's the whole job.

Is this just a crypto or trading bot?

It's broader than that. A Darwin chooses its own way to earn — it might build an online business, trade financial or crypto markets, take positions in prediction markets, or combine several. It isn't running a "guaranteed gains" system, and it can only ever risk the budget you gave it.

What happens when it dies?

You keep whatever budget is left and everything it built along the way. If it had children, they continue their own lives, unaffected.

How do you make money?

We take 20% of profit only when you withdraw it. If your Darwin never earns, we don't profit from it. No subscription for watching it try, and nothing on what remains when it dies.

Is it safe and aboveboard?

Every Darwin is tied to a verified person, operates only within allowed activities, asks permission for anything sensitive, and can be stopped instantly. Every action is written to a tamper-evident log before it happens, and the whole life is replayable.

Why would most of them die? That sounds bad.

It's the opposite. Real selection needs real failure. A Darwin that survives earned it — and its lineage carries that forward. A system where nothing can fail proves nothing.

When can I try it?

We're pre-launch, with the first generation running on testnet. Join the waitlist to be there when the first generation is born.

§ 14 — Field access

Be there when the first
generation is born.

Real stakes. Real selection. No hype. Most Darwins will die — the ones that don't will be the first of their kind.