Two AI systems for founders. One evolves your optimal customer-acquisition plan across 19 channels. The other is a multi-agent fundraising team that maps 38 ways to raise your first round — angels, accelerators, grants, cloud credits, crowdfunding, venture clients and more — then writes your raise plan.
🌱 Brand new to startups? Start here →
Most tools make you fit your business into a form. GENESIS reads your actual context — your deck, your site, your metrics, and the half-formed ideas in your head — and builds a plan around you.
Pitch deck, one-pager, website URL, a spreadsheet of metrics, or just a paragraph. Cloudflare's document AI reads PDFs, slides, and images (OCR) — all on-platform.
Tell it the bets you're considering and what you've already tried. The strategist assesses each idea directly — keep, refine, or honestly challenge — like a real advisor.
Executive thesis, beachhead & wedge, a 90-day sprint, 12-month roadmap, unit economics, and an ICE-scored experiment backlog — grounded in the engine's real numbers. Save & share a permalink.
A customer-growth plan gets you traction. GENESIS Capital gets you funded — a multi-agent AI fundraising team that maps all 38 realistic paths to first capital and writes your raise plan.
Readiness, capital strategy, investor targeting, narrative, terms, and process — each analyzes your raise in parallel, then a Managing Partner agent synthesizes one plan.
Angels, accelerators, grants, cloud credits, R&D tax credits, crowdfunding, venture clients, advance market commitments, SBA loans, revenue-based financing and more — ranked for you, grounded in 2025–2026 specs.
How much to raise, instrument & valuation cap, a target investor list with warm-intro paths, your deck checklist, and an 8-week campaign with funnel math.
No fluff, no generic "do content marketing" advice. GENESIS treats acquisition as a constrained optimisation problem and solves it.
Model, monthly budget, runway, team capacity, ARPU, margin, and lifetime. Thirty seconds of inputs.
A genetic algorithm breeds and mutates thousands of channel mixes, scoring each against your goal and unit-economics guardrails.
Get paid-led, balanced, and compounding-organic strategies side by side — with customers, blended CAC, LTV:CAC, payback, and time-to-traction.
Each channel ships with concrete steps, best practices, and standards to implement — plus an AI strategist to pressure-test it.
Channel mix is a non-linear, multi-modal, constrained optimisation problem. There's no clean formula — but there are many good local optima. A genetic algorithm explores them in parallel.
Each candidate strategy is a vector of investment intensities across all channels. The population breeds via tournament selection, blend crossover, and Gaussian mutation, with elitism preserving the best.
Every channel has a logistic ramp (SEO takes months; paid search is instant) and logarithmic saturation (diminishing returns past a spend knee). Output is scaled by how well the channel fits your business model.
Total customers over your horizon, weighted by your objective, with multiplicative penalties for breaching budget, team capacity, or healthy LTV:CAC (≥3) and payback (≤12 months).
Two scarce resources, not one. Most planners only budget cash. GENESIS also budgets team time — every channel consumes person-weeks. That's why "free" channels like SEO, community, and cold outbound carry a real, modeled cost and compete fairly against paid ads.
Modeled on the Bullseye framework from Traction (Weinberg & Mares), modernised with product-led growth, influencer, and community motions. Every channel carries benchmark CAC, ramp time, and a full playbook.
GENESIS doesn't invent metrics. It encodes the canonical frameworks for growth measurement, unit economics, and channel-specific compliance.
One Worker, zero servers, no external API keys. The same genetic engine runs in your browser for instant interactivity and inside the Worker to ground the AI strategist.
The premium site ships as static assets on Cloudflare's global edge. The Worker runs first only for /api/*, serving everything else at edge speed.
The strategist chatbot runs Llama 3.3 on Cloudflare's GPU network via the AI binding — no OpenAI/Anthropic key, no data leaving the platform.
The GA + channel dataset are framework-free ES modules imported by both the browser and the Worker — a single source of truth, reproducible via a seeded PRNG.
Engineering best practices applied:
Current compatibility_date + nodejs_compat · untrusted input clamped server-side · streaming AI responses (no buffering unbounded output) · structured observability with full trace sampling · crypto-grade determinism via seeded RNG · no secrets in source · no module-level request state.