Roadmap

Money Machine's goal is a universal, legal, automation-first toolkit that lets anyone on the planet get paid online. The catalog answers "which ways exist and which are worth doing first"; the code answers "how do we run them with as little human effort as possible".

Phase 0 — Catalog (done in this release)

• 230+ legal ways to get paid, each with scores, payout path, full cycle, risks and sources
• Legality gate: legal in at least 80% of countries with relatively free internet
• Priority score that favors high probability of payment, high automation and low effort
• Generated markdown catalog (docs/business-plans/) and static website (website/)
• Tests that enforce the catalog requirements
• A resourced business plan on every entry: startup needs, unit economics and typical price, break-even, market conditions and a calibrated profit likelihood
• Incorporation costs for all 50 reference countries (docs/legal/incorporation-costs.md) and remote options

Phase 1 — Pick the first wave

Implement strategy modules (see REQUIREMENTS.md) for the top-tier entries where payment probability ≥ 6, automation ≥ 7 and capital = $0. Each module must:

• ship a getExecutionGuide() with every manual step (KYC, bank linking) spelled out
• run its automated steps from a single GitHub Actions "Run workflow" button
• return verification data proving money was earned and paid out

Candidate order (from the catalog ranking; re-check after each rebuild):

1. The highest-scored passive or near-passive entries (ad-supported sites, marketplace listings, API/actor marketplaces, cashback-style programs)
2. Platform-paid programs with low thresholds and fast payouts (micro-task and data-labeling platforms, bounties)
3. Recurring-revenue entries (memberships, micro-SaaS, affiliate recurring commissions)

Phase 2 — Automation runtime

• Scheduler-driven execution of multiple strategies in one GitHub Actions workflow
• Secrets checklist generator: given a set of strategies, print every token and account needed
• Earnings ledger: one JSON/SQLite ledger that every strategy appends to, with payout reconciliation
• Compliance engine rules loaded from docs/research/platform-rules.md as data, not prose

Phase 3 — Agent operation

• An AI agent loop that reads the catalog, picks the next best strategy for the user's country and skills, and executes the automated steps
• Country-aware filtering using data/countries.json (platform availability, payout rails)
• Weekly re-scoring job that re-verifies payout rules and flags closed programs
• Re-verify the figures marked estimated in the business plans and incorporation table against official pages, and turn the price and fee estimates into fetched facts

Phase 4 — Community

• Contribution guide for adding or re-scoring strategies (JSON only; docs are generated)
• Public earnings reports from real runs, so scores converge on reality rather than opinion

Non-goals

• Anything illegal in more than 20% of the reference countries, or against any platform's Terms of Service
• Gambling, adult content, MLM, unlicensed financial services, crypto-only payout schemes
• "Guaranteed" income claims; the catalog reports calibrated odds, not promises