Octothorped · the engine

Bring any question. The Octoport reads.

Verifiable. Sourced. Signed.
Same engine, whether you're reading a market window, a research position, a career pivot, a technical bet, or a decision that does not fit a category. Domain-agnostic by design.
~60%of the time the engine says walk away

Natural language goes in. Structured intelligence comes out: what's known, what isn't, what the evidence supports, what to do next. Sources cited. Claims hand-verified. Reports cryptographically signed.

Free — one verified read a week (a real opening I've validated end-to-end). When the founding subscription opens, the list goes first and keeps the founding rate for good.
move your cursor across the field. it's the work in the machine's own language. it decodes as you read.
What you can ask

#Bring a question. Any question.

Six shapes of question the engine reads cleanly. Anything you can describe in language, the Octoport can read on. Real examples below, drawn from sessions and tests.

Markets and ventures

  • "Where's the durable seam for AI coding agents in 2026?"
  • "Should I start a wholesaling business in Tampa Bay given the licensing crackdown?"
  • "Is the timing window for vertical SaaS in HVAC actually open?"
  • "My nonprofit is choosing between three fundraising lanes. Which has the open window?"

Career and direction

  • "I'm a BA whose AI skills went rusty during caregiving. What lanes work from home?"
  • "I'm a midcareer photographer. Where's the convergence between AI tools and editorial photography in 2026?"
  • "I'm a clinician without an active practice. What income paths fit my credentials?"
  • "Where do recent CS grads with no FAANG offer have real leverage in 2026?"

Research and technical

  • "What's the current state of MCP server monetization for indie builders?"
  • "Which agent framework is winning by mid-2026? Where's the inflection?"
  • "I'm picking a PhD thesis at the intersection of neuroscience and ML. Which sub-niches are reaching critical mass?"
  • "Is local-first AI infrastructure still attracting capital, or has it stalled?"

Capital and positions

  • "Position read on $NVDA in 2026 given the AI capex pullback signals?"
  • "Sector outlook on reinsurance after the Q1 2026 carrier exits in Florida?"
  • "Is the timing right to enter solar storage as a retail investor in 2026?"
  • "What's the read on private credit funds entering insurance-distress real estate?"

Personal decisions that don't fit a job description

  • "Should we move to Lisbon for my partner's role? What's the actual market for my work there?"
  • "Worth pursuing the part-time MBA in 2026 if I want to pivot to product management?"
  • "I want to have a baby in the next 18 months but I'm self-employed. What's the realistic income and career impact in my industry?"
  • "My kid wants to skip college and go directly into AI labs. Real path or hype?"

Beliefs you want sanity-checked

  • "I think the indie hacker era is over. Am I right? What does the evidence actually show?"
  • "Is the AI bubble narrative supported by fundamentals or is it cope?"
  • "My hunch is that x402 micropayments matter more than people realize. True?"
  • "I've been telling everyone vibe coding is unsustainable. Is the evidence with me or against me?"

Show and Tell

Bring an artifact

The Octoport accepts more than questions. Hand it your own work, or someone else's, and it reads the artifact as an organism. What you actually built, beyond what you think you built. What it's competing with for survival. What it depends on. What's vestigial from a thesis you abandoned but never edited out. Where the shadow source comes from.

  • "Here's my product page. Read it as an organism. What did I actually build?"
  • "Here's my pitch deck. What am I selling that I don't realize I'm selling?"
  • "My company has been pivoting for a year. Read our current positioning. What did we evolve away from?"
  • "Here's a competitor's homepage and pricing. What's their real moat? What's vestigial from an earlier version of their thesis?"
  • "Here's the blueprint for what I'm planning. Examine the assumptions I baked in without knowing."
  • "My open source README isn't getting traction. Read it. What's the shadow source it's broadcasting that I didn't intend?"
How it works

#Inside the engine

AI is making "research" cheap and instant. The scarce thing now isn't more answers — it's a read you can trust. Octothorped crosses real demand against a supply-capability drop (when the cost or difficulty of building something just fell sharply) and a timing window, verifies every claim by hand, flags what it can't, and tells you when not to build — so what you walk away with is what just became buildable, and how long the window stays open.

101
reports produced
50
convergence reports
26
sectors mapped
~60%
say "don't build"
Field test

I ran the leading AI idea tool on its own #1 category. It mispriced its own competitor evidence by up to 4x and never once flagged a timing window. Octothorped, on the same input, found the convergence, the window, and the kill condition.

Automated idea toolsOctothorped
Readsdemand onlydemand × supply × timing
Timing window + kill conditionnoyes
Evidencegrounded, often stalehand-verified, flagged
Tells you "don't build"rarely~60% of the time
Run live on your questionnoyes

Put the engine to work

Watch

Convergence of the Week

Free → founding list

One verified convergence, hand-run and sent each week. A real taste, no pitch. When the founding subscription opens, this list goes first — and locks the founding rate for good.

Live · 1:1
Session

Live Convergence Session

$150 founding rate

I run the engine on your question, live over a screen share. We iterate in real time. You leave with the report.

Book appointment
Retainer

Intelligence Retainer

By application

Ongoing convergence coverage for operators who move on windows. Monthly session + continuous watch.

Apply
System · course

The Octothorped Method

Coming soon

Build a verification-disciplined intelligence system of your own: the sourcing gate, agent orchestration, the scoring framework, and the corpus as worked examples. The method — not a "make money with AI" pitch.

Get notified
By appointment · founding window open

Every engagement is by appointment — tell me what you need and we'll scope it together. Pricing shown is the founding rate, offered in exchange for honest feedback; it rises as the proof does, and founding clients keep theirs. You're not buying a track record yet, so I'm not charging like I have one.

How a live session runs

Intake

You send the question, niche, and the decision you're making. Two minutes.

Pre-run

The engine fans out across sources and builds the verified evidence base before we meet.

Live session

90 minutes over screen share. We read the convergence together and chase your threads.

Report

You get the written, sourced report after — the window, the competitors, the kill condition.

Two doors

Put the engine on your question,
or hire the architect to build yours.

Octothorped runs on your market. Or the foundation above is the proof I can build the system you need — agentic systems, RAG, verification infrastructure, from first principles.

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