# X/Twitter Content — @GraqleAI

> **Step 1:** Create account @GraqleAI (or @GraqleSDK if taken)
> **Bio:** Code intelligence that understands your architecture. Knowledge graphs for codebases. MCP server for Claude, Cursor, Copilot. pip install graqle
> **Link:** https://graqle.com
> **Pinned tweet:** Launch thread (below)

---

## LAUNCH THREAD (10 tweets)

### Tweet 1 (Hook)
```
Your AI coding assistant reads 60 files to answer "what depends on auth?"

That's 50,000 tokens. 2 minutes. And it's still guessing.

We built GraQle to fix this. Here's how 👇
```

### Tweet 2
```
GraQle builds a knowledge graph from your codebase.

Every module = a node
Every dependency = an edge

Instead of reading files, your AI queries the graph.

Result: 500 tokens instead of 50,000. 5 seconds instead of 2 minutes.
```

### Tweet 3
```
Three commands to get started:

pip install graqle
graq scan repo .
graq run "what depends on auth?"

That's it. Your codebase now has a queryable knowledge graph.
```

### Tweet 4
```
Impact analysis before you touch a line of code:

graq impact auth.py
→ 3 direct consumers
→ 11 transitive dependencies
→ Risk: HIGH

No more "I didn't realize that was connected."
```

### Tweet 5
```
Institutional memory that persists across sessions:

graq learn "auth module requires refresh token rotation — never skip it"

graq lessons auth
→ Returns lessons ranked by relevance

Your AI inherits what your team learned. Automatically.
```

### Tweet 6
```
One-command MCP integration:

graq init              → Claude Code
graq init --ide cursor → Cursor
graq init --ide vscode → VS Code + Copilot

16 MCP tools. No workflow change. Your AI uses them automatically.
```

### Tweet 7
```
14 LLM backends:

Anthropic, OpenAI, Ollama, AWS Bedrock, Google Gemini, Groq, DeepSeek, Together, Mistral, OpenRouter, Fireworks, Cohere, plus Custom.

Works fully offline with Ollama. Your code never leaves your machine.
```

### Tweet 8
```
The numbers:

- 50,000 → 500 tokens per question
- $0.15 → $0.0003 per query
- 2 minutes → 5 seconds
- 2,000+ tests passing
- 2 EU patents filed

This isn't a wrapper. It's a new architecture for code intelligence.
```

### Tweet 9
```
Who is this for?

• Developers using AI coding assistants
• Engineering teams who need dependency tracking
• OSS maintainers who want contributors to understand architecture
• Tech leads who need governed AI with audit trails
```

### Tweet 10 (CTA)
```
Try it now:

pip install graqle

⭐ GitHub: github.com/quantamixsol/graqle
📦 PyPI: pypi.org/project/graqle
🌐 Web: graqle.com

Star the repo if this resonates. We're just getting started.
```

---

## DAILY CONTENT CALENDAR (Week 1-2)

### Day 1: Launch thread (above)
### Day 2: Before/After comparison
```
Before GraQle:
"What depends on auth?"
→ AI reads 60 files
→ 50,000 tokens
→ 2 minutes
→ "I think these modules might..."

After GraQle:
→ Graph traversal
→ 500 tokens
→ 5 seconds
→ Exact dependency chain with confidence score
```

### Day 3: Impact analysis demo
```
Every time I change a core module, I run:

graq impact core/auth.py

It shows me exactly what breaks.
3 direct consumers. 11 transitive deps. Risk: HIGH.

No more "deploy and pray."
```

### Day 4: MCP integration
```
The best part of GraQle? Zero workflow change.

graq init

That's it. Claude Code now has 16 architecture-aware tools. It uses them automatically.

You keep coding. Your AI just got smarter.
```

### Day 5: Offline capability
```
"But I can't send my code to the cloud"

GraQle + Ollama = fully offline code intelligence.

The knowledge graph lives on your machine. Queries hit your local model. Nothing leaves your laptop.

pip install graqle
```

### Day 6: Institutional memory
```
The most underrated feature: graq learn

Your team discovers a gotcha. You teach the graph:

graq learn "the payment module silently fails if webhook URL is http, not https"

Every AI assistant and every new dev inherits that knowledge. Forever.
```

### Day 7: Open question / engagement
```
Question for the dev community:

If your AI coding assistant could understand ONE thing about your codebase that it currently doesn't, what would it be?

Building this into GraQle. Replies welcome.
```

### Day 8-14: Repeat pattern with new angles
- Patent story
- Performance benchmarks
- Community feature requests
- Integration walkthroughs
- Comparison to file-reading approach
- Team productivity angle
