# Lean Canvas — LLMHosts.com

## META
- **created**: 2026-02-14
- **references**: [PRD](prd.md), [competitive-analysis](competitive-analysis.md), [personas-jtbd](personas-jtbd.md)

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## Problem (Top 3)

1. **Wasted spend** — Developers pay $50–200+/mo for cloud AI (Cursor Pro, Claude API, ChatGPT Plus) while owning GPUs that sit idle; 34% pay for tools they use &lt;5×/month (SlashData Q4 2025).
2. **No remote access** — Local inference (Ollama, vLLM) stays on localhost; there’s no simple way to use a home GPU from a laptop at a coffee shop.
3. **Fragmented tooling** — Local vs cloud inference are separate worlds; no single proxy that routes smartly across both, caches, and exposes one API.

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## Customer Segments

- **Primary**: Developers who own GPUs and spend $50–200+/mo on AI tools (SlashData avg: $97/mo).
- **Secondary**: Teams wanting shared local infrastructure and cost visibility.
- **Tertiary**: Enterprises needing SOC2, SLA, audit logs, SSO.

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## Unique Value Proposition

**Open source CLI + SaaS that turns your developer GPUs into remotely accessible AI infrastructure.**  
One command to serve. One command to tunnel. Your 4090 at home serves your laptop at the coffee shop. Cost: $0.

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## Solution (Top 3 Features)

1. **One-command setup** — `pip install llmhosts && llmhosts serve` → OpenAI/Anthropic-compatible proxy with three-tier intelligent router, verified semantic caching.
2. **One-command tunnel** — `llmhosts tunnel` → Tailscale/Cloudflare auto-detect, remote access from anywhere.
3. **Honest cost tracking** — Dashboard shows real savings vs cloud-only; aggregate routing data for Pro users.

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## Channels

- **Acquisition**: PyPI (`pip install llmhosts`), GitHub, Hacker News, AI dev communities, Cursor/Claude Code integrations.
- **Activation**: `llmhosts serve` + `llmhosts tunnel` in under 5 minutes.
- **Retention**: Docker-only, tiered install (core ~50MB, smart ~150MB, full ~2GB).

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## Revenue Streams

| Tier      | Price      | What’s included                                      |
|-----------|------------|------------------------------------------------------|
| Free      | $0         | Core algorithms, unlimited local use                 |
| Pro       | $19/mo     | Cloud cost intelligence, global router data, multi-device mesh |
| Team      | $49/seat/mo| Hive Mode, RBAC, shared configs                      |
| Enterprise| $50/user/mo| SOC2, SLA, audit logs, SSO                           |

*No credits. Flat subscription. Charge for data + coordination, not algorithms.*

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## Cost Structure

- **Fixed**: Infrastructure (hosting, Headscale/K3s for Team/Enterprise), tooling, support.
- **Variable**: Cloud routing data, Pro intelligence services, enterprise compliance.
- **Minimal**: Core algorithms run locally; inference costs borne by user hardware.

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## Key Metrics (AARRR)

| Stage        | Metric                | Year 1 target   |
|--------------|-----------------------|-----------------|
| **Acquisition**  | Free users           | 15,000          |
| **Activation**   | Time to first tunnel | &lt;5 min       |
| **Revenue**      | Paying users        | 1,000           |
| **Revenue**      | MRR                 | $19K            |
| **Retention**    | NPS                 | &gt;50          |
| **Referral**     | Viral coefficient   | Measure         |

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## Unfair Advantage

1. **Three-tier intelligent router** — kNN (FAISS + ONNX) + ModernBERT + Qwen-0.5B; sub-50ms routing with minimal footprint.
2. **Tunnel-first access** — Tailscale/Cloudflare auto-detect; “your GPU, anywhere” in one command.
3. **vCache verified semantic caching** — ICLR 2026 approach; hash + namespace + adaptive tiers.
4. **Aggregate routing data** — Pro users benefit from global model performance intelligence; data moat improves over time.
5. **Combination is unique** — No product delivers local-first AI + intelligent routing + tunnel access + verified caching in one tool. Ollama is runtime; OpenRouter is cloud; LiteLLM is a library; we’re a product.

---

## Market Context

- **AI inference market**: $106B (2025), 19% CAGR to $255B by 2030.
- **Competitors**: OpenRouter ($5M ARR, 5M users), Ollama (millions installs), LiteLLM (open source proxy).
- **Position**: We wrap Ollama, route between user hardware and cloud, and add tunnel access. We are the product layer on top of inference runtimes.
