Brick 1
Framework-as-Diagnostic Overlay
Greg's 7-tactic framework overlaid on Yuri's current infra: | Tactic | Greg's framework says | We have | Verdict | |---|---|---|---| | 1. MCP server as sales team | Publish to Smithery/MCPT/OpenTools for $0 CAC discovery | Zero — neither BizBuilder/KPDD nor Solacian have an MCP server | **REAL GAP** — but applicability depends on whether the product answers a queryable question; Solacian (Maze-dissolving AI) plausibly does, KPDD (PMF discovery) plausibly does | | 2. Programmatic SEO at 10K-page scale | Next.js + Firecrawl + AI content for "best X for Y" patterns | Zero programmatic pages; KPDD/Solacian don't have SEO surface | **REAL GAP** for both; needs a keyword pattern decision before any code | | 3. Free tool as top of funnel | Grader/analyzer/calculator, instant value, share-driven loop | KPDD itself is arguably a discovery tool but is gated by signup, not free-tool-grade | **PARTIAL GAP** — KPDD could expose a free analyzer slice; Solacian could expose a free "Maze diagnostic" | | 4. AEO (Answer Engine Optimization) | Top-20 questions + FAQ schema + monitoring via Otterly/Profound | Zero structured FAQ surface on either product site | **REAL GAP** for bo…
Source: src/lib/bricks/sources/greg-isenberg-bootstrap-distribution.md
Brick 2
PART V: BIZBUILDER MATCHING ALGORITHM SCHEMA
For BizBuilder to surface relevant case studies, index by these dimensions: ``` { "company": "string", "market_type": "marketplace | saas | social | consumer | b2b | content | fintech | health", "product_type": "platform | tool | app | service | hardware", "gtm_motion": "1-12 (from taxonomy)", "stage": "pre-launch | first-100 | first-1000 | scaling", "channel": "forums | community | PR | influencer | paid | organic | viral | street-team | build-in-public", "constraint_type": "no-money | no-network | no-product | no-market | geographic | regulatory", "trust_requirement": "low | medium | high", "network_effect": "none | weak | strong | embedded", "meta_pattern": [1-9 from meta-cognitive patterns] } ``` **Matching logic**: When a founder describes their startup, extract these dimensions. Find case studies that match on 3+ dimensions. Surface the NON-OBVIOUS insight first (not the tactic), because tactics are context-dependent but insights transfer.
Source: src/lib/bricks/sources/first1000-pmf-patterns-library.md
Brick 3
Strategy 2: Programmatic SEO (10,000 Pages)
The thesis: create 10,000 SEO pages in 48 hours via keyword patterns + structured data + AI-generated unique content. Math model: - 10,000 pages × 30 visits/month each = 300,000 monthly visitors - 2% conversion = 6,000 conversions/month - $10 each = **$60,000/month from pages built once** - Caveat: 30 visits/month doesn't happen overnight; SEO compounds over time Critical: content must not feel like AI. Lots of optimization needed. Start with a few pages, scale once quality is right. "Press one button" myth is rejected explicitly. Playbook (start this week): 1. Pick a keyword pattern: `[product type] for [niche]` or `[service] in [city]`. Examples: "CRM for dentists", "roofing in Miami" 2. Build dataset via Firecrawl (scrapes + clean structured data) or existing databases 3. Create page template in your framework: Next.js, Webflow, WordPress — pick what you use 4. Use AI to generate unique paragraphs per page (not variable swaps; high-quality content) 5. Human-in-the-loop editing on a sample 6. Publish 100 pages as MVP 7. Monitor indexation 8. Scale once indexed Applies to: services, SaaS, apps, boring businesses, agencies. Programmatic SEO is still under-tapped.
Source: src/lib/bricks/sources/greg-isenberg-bootstrap-distribution.md
Brick 4
B043 — Record your process → transcribe → that's the lead magnet
Record your process → transcribe → that's the lead magnet. **Note:** Manual by design — requires founder's attention. Cut-adjacent for platform.
Source: _reference/bricks/README.md
Brick 5
Flow 1: SEO Content Machine
Research keywords -> scrape page-1 -> write with perspective -> publish via CMS API -> track GSC -> optimize -> batch all keywords.
Source: src/lib/bricks/sources/gtm-engineering-flows-combined.md
Brick 6
Strategy 5: Viral Artifacts (Make Outputs Shareable)
The thesis: Spotify Wrapped gets 100M shares every December. Everyone shares it. It says something about their identity. Build the equivalent for your product. Examples in the wild: - GitHub contribution graph → devs brag about green squares on Twitter - Stripe Atlas incorporation milestone → founders tweet "just incorporated" / "5 years ago today" - Duolingo daily streak → users brag about 365-day streaks - (Snapchat streaks were arguably the original) Look at social products for design psychology, then bring it into whatever you're building. Playbook (start this week): 1. Identify the output or milestone your user would screenshot and share 2. Make it beautiful, shareable, branded — logo subtle but present (big logo = no one shares someone else's logo; it should feel about THEM) 3. Add a share button that prefills the post with the artifact 4. Every share = free impressions to your exact target audience B2B works too. B2B are people. They share in Slack or Teams. Just ask: what would they share with the group you want more of?
Source: src/lib/bricks/sources/greg-isenberg-bootstrap-distribution.md
Brick 7
1.3 Code-Generated Ad Creatives (Cody Schneider method)
Source: [[../knowledge-env/synthesized/marketing-machine-10-parallel-agents.md]] **When to use**: zero budget for design, need to test messaging variations (not visual polish), finding the winning angle/pain point before investing in production **Process**: 1. Pick a reference ad format (Facebook Ads Library for competitor research, or "before/after" template) 2. Claude Code builds the ad as a React component (1080x1080px) 3. Research pain points via Perplexity API (scrape Reddit, YouTube, Twitter for ICP language) 4. Bulk-generate text variations: titles + paragraphs mapped to pain points 5. html-to-canvas converts React components to PNG 6. Download as zip, bulk upload to Facebook Ads API as drafts 7. Run $3-5/day per variation, 3-5 days 8. Analyze CPM/CPC via data warehouse (Graph MCP or CSV export) 9. Kill high-CPM losers via Facebook Ads API 10. Winners get promoted to dedicated ad set with CPA budget **Two schools of thought on creative quality**: - School A: "Scroll-stopping creative first" - use Nana Banana Pro / Kling AI for visuals - School B: "Messaging first, visuals later" - ugly code-generated ads that speak to pain points, find the 1-3 winning …
Source: src/lib/bricks/sources/perf-marketing-playbook.md