tam-business: ~T addressable market, 3-tier monetization model

TAM: ~60B across cloud (00B), AI API (0B), OS (00B),
social media (00B), payments (00B), productivity (0B),
compliance (0B). Even 1% is 0B/year.

Low-hanging fruit (months): verification appliance (-50K/unit),
gate rule subscriptions (0-100K/yr each), evaluation certification
(0-200K), migration services (00-500K). Year one: -12M.

Medium-term (1-3 years): compute marketplace (Agora spread), Relay
Network (per-message fees), Lisp Machine appliance (0-100K/unit).

Big money (3-10 years): verification monopoly (UL for AI agents),
infrastructure lock-in (compounding switching costs), planetary
compute marketplace (network effects at scale).

Thesis: low-hanging fruit sustains development. Medium-term builds
network effects. Big money is venture-scale. The early player
benefits from every other instance because the network effects
are positive sum — this is the AWS of provable computing.
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Hermes
2026-05-21 19:27:48 +00:00
parent 3a02e847f9
commit da307c5cad

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@@ -1187,6 +1187,152 @@ trust. The lines don't need to exist on day one. They need to
exist in the right order — and the system writes them in that
order, one ACL2-verified submission at a time.
**** Market size and business models
The triad directly addresses markets that currently spend over a
trillion dollars annually combined:
| Market | Annual spend | What the triad replaces |
|--------|-------------|------------------------|
| Cloud computing (AWS, GCP, Azure) | ~$300B | Verification appliance runs locally — no per-resource billing |
| AI/LLM API revenue (OpenAI, Anthropic) | ~$50B | Near-zero marginal cost symbolic engine |
| Operating systems (Microsoft, Apple) | ~$100B | Stoa (Lisp-native editor, browser, shell) |
| Social media / communication (Meta, Twitter, Slack, Discord) | ~$200B | Agora (DID-based, encrypted, permissionless) |
| Identity / SSO (Okta, Auth0, Google/Apple) | ~$10B | Self-sovereign DID + HD keys |
| Payment processing (Stripe, PayPal, Visa/MC) | ~$200B | Lightning + smart contracts |
| Productivity software (Microsoft, Google) | ~$50B | Lish + Org-mode + Stoa |
| Compliance and audit (regulatory) | ~$50B | Automated ACL2-verified compliance |
| **Total addressable** | **~$960B** | |
The triad does not need to capture all of this. It needs to capture
the portion that is willing to pay for provable correctness, lower
cost, and user sovereignty. Even 1% of this TAM is ~$10B/year.
**** Business models for a free-software triad
The AGPL license is not a barrier to monetization — it is the
foundation of the trust model. An enterprise cannot buy provable
correctness from closed source; the code must be inspectable. The
revenue comes from what the AGPL does not cover:
***** Low-hanging fruit (immediate, months)
1. **Verification appliance (hardware).** An FPGA or Tenstorrent
card pre-loaded with a mature Passepartout image, domain-specific
gate rules, and a hardware root of trust. No cloud dependency.
Target: regulated industries that need provable compliance and
cannot accept cloud-based AI. Price: $5K-$50K/unit. Volume:
hundreds to low thousands in year one.
2. **Domain gate rule subscriptions.** Pre-verified gate rule
packages for specific compliance domains. HIPAA package: $50K/yr.
SOC2 package: $50K/yr. GDPR package: $50K/yr. FedRAMP package:
$100K/yr. Updated automatically when regulations change. An
enterprise with all four pays $250K/yr — and the switching cost
is high because changing packages means re-verifying the fact
store against new rules.
3. **Evaluation harness as certification.** "Run our 10,000-task
suite against your AI agent and get a Merkle-verified score."
Target: AI labs proving their agents' capabilities, enterprise
procurement requiring independent verification. Price: $50K-$200K
per certification. The regression suite grows with every deployed
instance, making the certification increasingly valuable over
time.
4. **Migration services.** "Bring your existing infrastructure into
the Passepartout gate stack." Custom gate rules, ontology design,
integration with existing systems. Price: $100K-$500K per
engagement. Each engagement feeds back edge cases into the
regression suite and domain gate packages.
Revenue estimate for year one (low-hanging fruit): 50 appliance
sales ($250K-$2.5M) + 20 gate rule subscriptions ($1M-$5M) +
10 certifications ($500K-$2M) + 5 migration engagements ($500K-
$2.5M). Total: $2.25M-$12M. Not venture-scale, but self-sustaining
for a small team.
***** Medium-term (1-3 years)
5. **Compute marketplace (Agora).** Passepartout instances offer
their symbolic engine capacity (ACL2 cycles, Screamer constraint
solving, VivaceGraph queries) to other agents on the Agora
network. The early player runs a large instance and sells compute
to smaller instances. The AGPL allows this because the marketplace
is a service, not a modification of the code. Revenue is a
percentage of each compute transaction.
6. **Relay Network (Agora infrastructure).** If Agora becomes the
default communication protocol for agent-to-agent interaction,
running Relays is a business. Every DIDComm message routes
through one or more Relays. Revenue: tiny per-message fee (fractions
of a cent) or paid priority routing. At billions of messages,
fractions become real.
7. **The Lisp Machine appliance (Stoa v5.0.0 hardware).** The tagged
RISC-V architecture running on FPGA or custom ASIC, sold as a
certified appliance for industries where correctness is worth
paying for: medical devices, industrial controllers, defense
systems, financial trading. Price: $20K-$100K/unit. If the
hardware validation succeeds on TinyTapeout, the upside is
enormous: a certified Lisp Machine at scale could capture a
significant fraction of the embedded systems market.
***** Big money (3-10 years)
8. **Verification monopoly: the regression suite as UL certification.**
The accumulated regression suite — thousands of edge cases from
every deployed instance, every bug fix, every regulatory change —
becomes the most comprehensive test of autonomous agent correctness
ever assembled. Any organization claiming a "safe AI agent" needs
Passepartout certification to prove it. This is Underwriters
Laboratory for AI — a certification nobody can ignore. Revenue:
licensing the certification mark to every AI vendor that ships
an agent. Margins: near-100% once the suite exists.
9. **Infrastructure lock-in: switching costs compound.** A hospital
that runs Passepartout with HIPAA gate rules ($50K/yr) for five
years has accumulated a fact store with a decade of compliance
decisions, a proof forest of verified rules, and an empirical
decision history tied to their specific deployment. Switching to
a competitor means discarding all of it. The accumulated value
grows as the fact store deepens. Annual revenue per enterprise
grows from $250K in year one to $500K-$1M by year five as more
domain packages are added and the fact store becomes more
valuable than the software itself.
10. **The compute marketplace at planetary scale.** If Passepartout
instances on Agora transact billions of verified operations per
day, the spread on compute transactions is enormous. This is
not a product sale — it is a bet on network effects. Every new
instance increases the value of the network (more capacity,
more diversity, more resilience). The early player that
provisions the largest compute capacity on Agora becomes the
default infrastructure provider for the entire network.
**** The investment thesis
The low-hanging fruit (appliances, gate rules, certification,
migration) generates enough cash to sustain development. The
medium-term (compute marketplace, Relay Network, Lisp Machine
hardware) builds network effects and switching costs. The big
money (verification monopoly, infrastructure lock-in, planetary
compute marketplace) is the venture-scale outcome.
The unique advantage: the early player benefits from every other
instance of the triad, because every deployed instance feeds edge
cases into the regression suite, grows the compute marketplace,
and validates the hardware designs. The network effects are positive
sum — the value of the system increases with every user, and the
early player captures a disproportionate share because they built
the infrastructure that every new instance depends on.
This is the AWS of provable computing: build the infrastructure,
let everyone use it for free (AGPL), charge for the parts that
scale (compute marketplace, certification, hardware, migration).
The switching costs compound. The network effects are positive sum.
The market is nearly a trillion dollars.
*** The full triad: Logos, Stoa, Agora
The self-driving Lisp Machine is not the endpoint. It is one