# LLMHosts.com — Soft Launch Announcement Materials

**Launch Date**: 2026-02-18 (target)
**Audience**: Beta testers (5-10 people), r/selfhosted, personal network
**Mode**: Test mode (Stripe test, TestPyPI)

---

## Twitter/X Announcement

🚀 **Launching LLMHosts.com in beta!**

Turn your home GPU into production AI infrastructure. Access from anywhere.

✨ What it does:
• OpenAI/Anthropic-compatible proxy
• 3-tier intelligent router (rules → kNN → transformer)
• Verified semantic cache (ICLR 2026 vCache)
• Remote access via Tailscale/Cloudflare

💰 Pricing:
• Free: 2 API keys, basic features
• Pro $29/mo: 10 keys, priority routing
• Team: GPU pooling (coming soon)

🎯 Perfect for:
• Devs with spare GPU cycles
• Privacy-conscious AI users
• Self-hosting enthusiasts

Try it: https://llmhosts.com (test mode, free tier available)

Looking for 5-10 beta testers! DM if interested.

#AI #SelfHosted #OpenSource #LLM

---

## Reddit r/selfhosted Post

**Title**: [Beta] LLMHosts.com - Turn your home GPU into production AI infrastructure accessible from anywhere

**Body**:

Hey r/selfhosted!

I've been working on a project to solve a problem I had: I have a GPU at home running Ollama, but I want to use it from my laptop when I'm traveling. Existing solutions either expose your local network unsafely or require complex VPN setups.

**What is LLMHosts.com?**

It's a CLI-first tool + SaaS platform that makes your home GPU feel like a production AI API:

- **OpenAI-compatible proxy** - Drop-in replacement for OpenAI/Anthropic APIs
- **3-tier intelligent router** - Automatically routes requests to the best model based on query complexity
- **Verified semantic cache** - Saves ~70% on repeated queries (based on ICLR 2026 vCache paper)
- **Remote access built-in** - Auto-detects Tailscale or Cloudflare Tunnel, no manual config
- **Full observability** - Cost tracking, savings dashboard, usage analytics

**Tech Stack** (for the curious):
- Python (FastAPI) + Next.js 15
- 3-tier router: rule-based → kNN (FAISS/ONNX) → ModernBERT classifier
- SQLite for local state, Prisma for frontend
- Docker-first, K8s-ready

**Pricing** (test mode for now):
- Free tier: 2 API keys, basic features
- Pro $29/mo: 10 keys, priority routing, advanced analytics
- Team tier (coming soon): Multi-GPU pooling

**Looking for beta testers!**

I need 5-10 people to kick the tires and break things before production launch. You'll get:
- Free Pro account during beta (worth $29/mo)
- Direct line to me for feature requests
- Your name in the credits (if you want)

Requirements:
- Have a GPU running Ollama (or willing to set one up)
- Comfortable with CLI tools
- Willing to report bugs

**Try it now**: https://llmhosts.com (sign up with any email, test mode)

**Install CLI** (optional):
```bash
pip install --index-url https://test.pypi.org/simple/ llmhosts
llmhosts setup
```

Open to feedback! What features would make this more useful for self-hosters?

---

## Discord/Slack Message Template

Hey friends! 👋

I've been building LLMHosts.com — a tool that turns your home GPU into production AI infrastructure you can access from anywhere.

**The problem**: You have Ollama running at home, but you want to use it when you're on the go. Current solutions are either unsafe or complex.

**The solution**: LLMHosts acts as a smart proxy with intelligent routing, semantic caching, and built-in remote access.

**I need beta testers!** Looking for 5-10 people to try it out before production launch. Free Pro account during beta ($29/mo value).

Interested? Try it: https://llmhosts.com (test mode, free tier available)

Questions? Just ask!

---

## Direct Beta Invite Email

**Subject**: Beta invite: LLMHosts.com - Your home GPU, everywhere

Hi [Name],

I'm reaching out because I know you're interested in AI/self-hosting, and I'd love your feedback on a project I've been building.

**LLMHosts.com** makes your home GPU accessible from anywhere with intelligent routing and semantic caching. It's like having your own OpenAI-compatible API, but using your hardware.

I'm looking for 5-10 beta testers before production launch. As a beta tester, you'll get:

- Free Pro account during beta (worth $29/mo)
- Direct access to me for feature requests
- Your name in the credits (optional)

**What I need from you**:
- Try the core flows (signup, add API key, make requests)
- Report any bugs or UX issues
- Tell me what features would make this more useful

**Getting started** (5 minutes):
1. Sign up: https://llmhosts.com
2. Create an API key
3. Install CLI: `pip install --index-url https://test.pypi.org/simple/ llmhosts`
4. Run: `llmhosts setup`

No pressure if you're not interested! Just thought this might be up your alley.

Thanks,
[Your Name]

---

## Beta Tester Checklist

When recruiting beta testers, ensure they can test these flows:

- [ ] **Registration** (#128) - Sign up with email/password
- [ ] **Cost Entry** (#129) - Add/view/delete cost entries
- [ ] **API Key Management** (#130) - Create keys, hit plan limits, revoke
- [ ] **Stripe Checkout** (#131) - Upgrade to Pro (test mode)
- [ ] **Billing Portal** (#132) - Cancel subscription, downgrade
- [ ] **CLI Install** (#133) - Install from TestPyPI, configure, run

Ideal tester profile:
- Has GPU (NVIDIA preferred, any works)
- Familiar with CLI tools
- Active in AI/self-hosting community
- Willing to report bugs publicly or privately

---

## Success Metrics (Week 1)

🎯 **Goals**:
- 5+ user signups
- 2+ test mode Pro upgrades
- 0 critical bugs
- All core flows verified by real users

📊 **How to measure**:
- Signups: Check database `User` count
- Upgrades: Check Stripe dashboard (test mode)
- Bugs: GitHub issues with `bug` label
- Flows: Ask testers for feedback

🚨 **Red flags** (abort launch if):
- Data loss bug discovered
- Security vulnerability in auth
- Payment flow broken in test mode
- More than 3 critical bugs in first 24h

✅ **Green light for production** (after 3-7 days if):
- All core flows working smoothly
- No critical bugs
- Positive feedback from testers
- Stripe test mode proven stable

---

## Post-Launch Monitoring

**Daily checks** (first 7 days):
- New user signups (expect 1-2/day from soft launch)
- GitHub issues (respond within 24h)
- Stripe test transactions (verify webhooks working)
- CI status (should be green)

**Weekly review** (after 7 days):
- Aggregate beta tester feedback
- Prioritize bugs by severity
- Decide on production launch timing
- Update this document with learnings

---

## Production Launch Criteria

Before switching to production (real PyPI + Stripe live):

1. **All P0 blockers closed** (#128-134)
2. **Zero critical bugs** from soft launch
3. **Positive beta tester feedback** (majority satisfied)
4. **Stripe test mode stable** (no webhook issues)
5. **TestPyPI package works** (successful installs)
6. **CI green** (all tests passing)
7. **Monitoring operational** (Prometheus + Grafana working)
8. **Security audit clean** (Bandit scan passed)

When all criteria met → proceed to production launch.

---

**Document owner**: LLMHosts Team
**Last updated**: 2026-02-18
**Status**: Draft (ready for soft launch)
