MARKETING.md
# MARKETING.md — Stacc Brain
## One-liner
**Obsidian is free. The brain that survives your whole Telegram export is Pro. Shared brains are Hosted. Agents pay per recall.**
## Credit — shoulders of giants
| Layer | Who |
|---|---|
| **leCore / holographic substrate** | **undacappn** (An Oversized Moose) — [leCore](https://github.com/AnOversizedMooseWithSocks/leCore), [leOS](https://github.com/AnOversizedMooseWithSocks/leOS), [discoverleos.com](https://discoverleos.com/) |
| **Product + market** | **stacc** — Obsidian pitch, TG turns, redteam wiki, hosted multi-tenant, A/B, GTM |
| **Pattern** | Karpathy llm-wiki (raw / wiki / schema) |
We build on leCore; we do not rebrand the engine as ours. We bring the **brain product** to market.
## Category
Karpathy-style **LLM wiki / second brain** — with a **holographic data layer** so the product doesn’t die when the corpus is “the whole shebang.”
Not “another notes app.” Not pure RAG that re-derives everything every query.
## The problem (make it visceral)
People tried Karpathy’s llm-wiki:
- Drop raw into a folder
- LLM compiles interlinked markdown
- Browse in Obsidian
It feels magic at **~100 articles**.
Then they dump:
- years of Telegram
- 300k+ messages
- multi-export Desktop zips
and the system becomes:
- vault lag
- agent Glob/Grep forever
- `index.md` too big for context
- every question **re-reads the haystack**
**Measured on a real participated export (~321k msgs, ~600 chats):**
| | Markdown full-scan (Arm A) | Hologram (Arm B) |
|---|---:|---:|
| p50 query | **~122 ms** | **~0.022 ms** |
| p95 query | **~158 ms** | **~0.028 ms** |
| Speedup | — | **~5,000×** |
| Query index size | 25 MB re-read | **~1.1 MB** matrix |
That’s the demo slide. Numbers live in `results/ab_scale.md`.
## Positioning
| vs | They sell | We sell |
|---|---|---|
| Free gist / Claude skill | Workflow | **Scale substrate** |
| Mem0 / Zep / cloud memory | Snippet RAG | **Compiled wiki + Obsidian face** |
| Pure Obsidian wiki | md is the DB | md is **IDE + raw**; hologram is the brain |
| NotebookLM | Closed hosted | Local-first + optional hosted groups |
## Pillars (3)
1. **Pitch = Obsidian** — install vault, see graph, human trust.
2. **Engine = hologram** — bind/bundle/query; flat latency at scale.
3. **Ops = agents** — ingest / query / lint; Telethon for live turns.
## Audiences
| Persona | Pain | Message |
|---|---|---|
| Crypto / TG-native operator | 500 chats, deals, traps | Redteam lens: users · promises · traps |
| Researcher / founder | Sources compound, wiki rots | Karpathy loop without vault death |
| Team / fund | Shared intel, multi-agent | Hosted group tenants + keys |
| Agent builders | Memory that isn’t slop | MCP/API, hybrid exact+semantic |
## Product tiers (no token)
| Tier | Promise | Proof |
|---|---|---|
| **Free** | Karpathy vault in Obsidian, moderate corpus | Open `vault-a`, plugin optional |
| **Pro** | Whole export + hologram under same UX | A/B scoreboard + local BrainB |
| **Hosted / Group** | Multi-tenant brains, public demo, private keys | `brain.stacc.bio` |
| **Agent** | Metered query / MCP (roadmap) | API shape already exists |
## Hero demo
**Public:** [https://brain.stacc.bio](https://brain.stacc.bio)
Tenant: `demo-telegram` — participated Telegram (previously publicly leaked; labeled as demo).
Query examples:
- `solana rpc`
- `otc allocation`
- `seed phrase` (trap surface)
- person / deal names from the export
**Desktop:** two Obsidian vaults — A = md story, B = hologram story + **Stacc Brain** plugin.
## Messaging dos / don’ts
**Do**
- Lead with Obsidian + scale pain
- Show latency table
- Say hybrid: hologram for browse, keyword for exact needles
- Own “LLM still compiles structured claims”
**Don’t**
- Claim pure VSA replaces language models for free-text synthesis
- Promise 100% recall on fuzzy search without labels
- Hide that demo data is sensitive-looking — frame as known-public demo
- Lead with token / chain funding
## Campaign angles
1. **“Karpathy wiki, but for the whole shebang”** — X thread + scoreboard screenshot.
2. **Redteam TG brain** — users / promises / traps ledgers (ops + CT).
3. **Agent memory that compounds** — ingest once, query forever.
4. **Open the vault in 60s** — plugin → hosted query.
## Assets to keep current
| Asset | Location |
|---|---|
| Scale A/B | `results/ab_scale.md` |
| Hosted UI | `code/static/index.html` |
| Plugin | `obsidian-plugin/` |
| Agent schema | `AGENTS.md` |
| Monetization | `MONETIZATION.md` |
| PMF | `PRODUCTMARKETFIT.md` |
## Launch checklist
- [ ] `brain.stacc.bio` health 200
- [ ] Demo query returns real chat titles
- [ ] vault-a + vault-b open in Obsidian with plugin enabled
- [ ] A/B numbers on landing / README
- [ ] Clear Free vs Pro cliff in one sentence
## Brand voice
Direct, operator-grade, measured. No “supercharge your productivity” sludge. Prefer **numbers, paths, and failure modes**.