AI is reshaping the economy as you read this. Get your piece of it now.
Your AI can already research, write and code. P34 gives it a managed business workspace: internet access, market-data tools, agent skills and a decision model built to evaluate opportunities and refuse weak deals.
Monthly access to software, compute and managed services. Built to pursue business outcomes; no profit is promised. Plan terms and usage limits apply.
Your agent gathers the market.
P34 scores what is worth considering.
You control what gets executed.
From prompt to business operation.
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Follow the self-driving business movement at no cost: new computable markets as we find them, member findings, P34 releases — and first access when the P34 Community opens.
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The P34 Membership is not a tool subscription. It is the complete stack for operating an agent-run business: the decision model, the workspace your agents operate from, the market intelligence to point them at, and the community that compounds what every member learns.
P34 is pre-trained to use partial data on real product markets — inventory, personal loans, work arbitrage, online arbitrage — markets where data is available but no high-frequency exchange exists. It is the economic brain of the platform: given a menu of deals, it scores, sizes and refuses.
A persistent managed VM pre-loaded with VPNs, web-crawling tools, data sources and a full programming environment — everything your agents need to work a market: collect data about it, prepare features and call the P34 API to score deals.
Skills and information about markets that have already been explored and are known to be applicable — you start from a map, not a blank page — with new computable markets dropped to members weekly.
Courses and discussions on how to make money on computable markets: new findings, new markets, and opportunities to arbitrage — and to take over markets still operated without AI.
P34's architecture is inspired by the many-worlds interpretation in quantum physics. Real market history is survival-biased — you mostly see the deals that were taken and the businesses that lived — and it is further contaminated by market regime changes. Instead of pretending the record is clean, P34 uses GPU parallelism to let "all universes exist" when interpreting what could have happened around every recorded outcome.
Pre-training then teaches the model to find the correct universe by a principle similar to decoherence resistance: the correct universe is the one that allows the observer — your business — to keep existing; the one that is more predictable than not. That is why P34 can be honest about deals it should refuse, where a model trained naively on the surviving record cannot.
There are hundreds of computable markets — find and claim your market today.
Claim My MarketStart with a supported workflow or a market you understand. Define the objective, budget and boundaries.
Inside the managed VM, the agent can browse, crawl, call APIs and organize authorized public or customer-provided data.
P34 evaluates the menu, estimates economics and risk, rejects candidates that fail its criteria and returns selected options.
You approve the action, or enable a bounded workflow with limits, logs and stop controls.
The workspace tracks data freshness, jobs, failures, model outputs and realized results so the workflow can be refined.
It does the crawling. P34 does the scoring. You control the capital.
Stop asking your AI for ideas. Give it a workspace that can turn data into business actions.
Start My P34 WorkspaceA persistent managed VM with general outbound internet access, browser automation, data-collection tools, approved VPN/proxy profiles, Python, shell, APIs, schedulers, file storage, logs and P34 integrations — ready for agent use, and still running between your sessions.
Monitoring is disclosed during signup, limited to your P34 workspace, and recorded in logs you can see. It has no access to your private devices or unrelated accounts.
A ready-to-use cloud workspace for agent-operated business workflows.
Browsers, crawlers, scraping/parsing tools, deal databases, data sources, APIs and approved networking profiles — a library we continuously expand.
Score supported opportunity menus and receive trade / no-trade style outputs.
Included model and workspace usage under clearly published plan limits — buy additional model compute tokens when you want more scale.
Reusable skills for data collection, menu construction, scoring, monitoring and reporting.
API documentation, sample workflows and selected code and examples.
Courses, case studies and discussions on how to make money on computable markets — new findings, new markets and arbitrage opportunities, alongside fellow builders and operators.
Exclusive member access to the skills and market lists we discover every week where continuous business is possible — plus, where offered, precomputed opportunities under allocation rules.
Priority access to eligible new models, tools and supported markets as released.
The HyperC Operations Agent watches your workspace process and flags problems.
Exact workspace specs — VM size, storage, bandwidth, included compute/model allowance, crawler limits, networking options, opportunity allocation, overage rules and the prohibited-use policy — are published on the plan page before checkout.
Don't trust a slogan. Inspect the mechanism, the methodology and the labels on every number.
You (or your agent) send P34 a menu: every trade option in front of you — item, quantity, price — plus your history, including the deals you declined. P34 estimates the expected profit and risk of each option, sizes the ones worth taking as a single portfolio, and returns the rest as explicit refusals. "Do not trade" is a first-class output, not a failure state.
Uncertainty is part of the answer: predictions are calibrated as a portfolio sum, and the service refuses histories it cannot validate — including histories that contain only wins.
| Naive profit regressor | P34 | |
|---|---|---|
| Trains on | Deals you took (the winners' club) | The whole menu, including declined options |
| Backtest | Excellent (0.9266 AUC) | Honest |
| Full future menu | −$417.4k realized | +$2,250 on $4,146 deployed |
| "Do nothing" | Not in the vocabulary | A rewarded output |
Synthetic market with known ground truth — a mechanism demonstration, not evidence of live-market profitability. Methodology and runnable notebooks: p34-technical-report · research page.
In production use, P34 has generated $30M+ in sales for customers, with >95% of trades unsupervised — supported markets, real inventory, real capital.
Company-reported. Note: not audited by a human licensed auditor. Historical results do not guarantee future outcomes.
The market simulator runs a synthetic market in your browser against the same production /v1 API members use: build menus, call the model, watch it select and refuse, and see the portfolio economics — before wiring your own data.
Every workspace run is inspectable: crawler output, the constructed menu, the P34 call, the returned portfolio and the approval step are all in your logs.
Published case studies contain only customer-approved data with metric definitions, time period, limitations and written permission. See the industry cases library as studies are cleared for publication.
The best due diligence is adversarial. Paste this into any AI you trust:
The founding rate is an early discount on the $500/month standard membership price. Founding members lock it in.
On continuous businesses, founding members lock the introductory 10% success-fee rate where profit-share pricing applies. The rate steps to 20%, then 30%, for later accounts — assigned by paid-registration order.
A business is continuous when the model can learn from your deals and make more profitable deals in that market — capturing more of it and learning to do better deals.
There are hundreds of computable markets — but the ones you will discover to be computable are in limited supply. The first operator in each one compounds: more deals → more learning → better deals → more of the market captured.
P34 is scalable to millions of dollars in transaction volume — with virtually no limit. When you want more scale on your computable markets, additional model compute tokens are available for purchase.
No fantasy. No passive-income promise. A serious system for pursuing business outcomes.
Your managed AI business workspace. Early founding discount on the $500/month standard price.
Monthly product/service subscription. Not equity, a pooled investment or guaranteed earnings.
A persistent managed cloud workspace (the Agent VM) preloaded with market-access tools — data scrapers, curated data sources and deal databases we continuously expand — plus access to the P34 decision model with an included usage allowance, agent skills and workflow templates, weekly market drops, documentation and examples, the member community, and Operations Agent monitoring. Exact plan specs and limits are published on the plan page before checkout.
It helps, but it isn't the gate. Your AI agent does most of the operating work inside the workspace; supported workflows and templates cover the common paths, and the simulator requires no code at all. You do need to understand the market you operate in and review what the system proposes.
Claude, ChatGPT, open-source models or your own custom agent code — the workspace exposes standard tools (shell, Python, browsers, APIs) that any competent agent can drive, plus P34 skills that make the model calls.
Amazon wholesale (US & EU) is supported and in production. Synthetic markets are open to every member via the simulator and API. Micro-lending and collectibles/online-arbitrage are research-stage workflows. Securities, derivatives and prediction markets are excluded; regulated categories (lending, payments) are reviewed separately under the terms. See the market-fit framework.
No. P34 is built to pursue profit by scoring opportunities and refusing weak deals. It does not promise that every accepted action, member or period will be profitable. You supply the capital, own the decisions and keep the results — positive or negative.
A business is continuous when the model can learn from your deals and make more profitable deals in that market — capturing more of it and learning to do better deals. That compounding loop is the point of the platform, and it is where founding profit-share pricing applies: founding members lock the introductory 10% success-fee rate; the rate steps to 20%, then 30%, for later accounts by paid-registration order.
P34 is scalable to millions of dollars in transaction volume, with virtually no limit built into the architecture — in production it has generated $30M+ in sales for customers (company-reported). Your plan includes a usage allowance; when you want more scale on your computable markets, additional model compute tokens are available for purchase.
A planned expansion of the agentic tooling: markets with direct platform access, so deal selection and execution happen on the platform itself more often. Market discovery is still the greatest mechanism to operate on the platform — the weekly drops of skills and market lists exist to feed exactly that.
Workspace health only: job status, crawler failures, expired credentials, resource limits, missing data and workflow exceptions inside your P34 workspace. Its scope is disclosed at signup, its activity appears in logs you can read, and it has no access to your private devices or unrelated accounts.
Collection tools are for authorized and public data, used in compliance with applicable law, access permissions, website terms and plan policies. Network profiles exist for lawful regional access, privacy and testing — never for bypassing paywalls, bans, authentication or platform controls. Violations are grounds for termination.
The default is user approval: the workspace prepares actions and waits for you. Where a workflow supports automation, it runs bounded — budgets, caps, audit logs and an emergency stop — and you enable it explicitly.
Your workspace is provisioned and you receive the URL, credentials and an agent-connection guide. The activation wizard walks you through choosing an agent, picking a workflow, connecting authorized data and setting your objective and constraints. The first week is designed to produce a running loop: first collection, first structured menu, first P34 score — including a look at what it refused and why.
Yes — it's a monthly subscription managed from the console; cancellation and refund terms are shown before payment. Note that leaving and rejoining later may assign a new paid-registration order for the success-fee tier.
This page is the individual/operator membership. For governed rollouts — shadow test, capped pilot, scale with controls — start at hyperc.com/enterprise.
Monthly access to software, compute and managed services. Built to pursue business outcomes; no profit is promised.