Answer 1
In terms of the mistakes that waste runway: Pattern 3: The Reverse Credibility Pattern
**What it is**: The best founders don't use their credibility to promote the product - they use the product to build credibility, which then promotes the product. Recursive loop. **Evidence**: Roam Research (product built founder's brand -> brand amplified product), Buffer (150 guest posts = build-in-public credibility), Linear (founder network + weekly transparent updates), ConvertKit (Web App Challenge = building in public) **BizBuilder implication**: Vibe-coders should build in public from day 1. Every experiment, every metric, every failure shared publicly becomes credi…
Source: src/lib/bricks/sources/first1000-pmf-patterns-library.md
Answer 2
In terms of the mistakes that waste runway: Cross-cutting takeaways most relevant to BizBuilder (solo founders / vibe-coders seeking first traction)
1. Start with one small, dense atomic network — **never a Big Bang launch**. The first network always looks like a tiny market. Embrace unscalable, hustle-driven early tactics. 2. **Density beats raw size** ("all supply isn't created equal"). Build the Expectations Gap → exceed low expectations → high NPS → organic word of mouth. 3. **Ignore vanity metrics** — top-line counts mean nothing if users churn; quality is visible only from inside the network. 4. Pick the right entry point — **high economic value per transaction** and/or **high frequency/stickiness**. 5. **Acquisit…
Source: src/lib/bricks/sources/andrew-chen-cold-start-problem.md
Answer 3
In terms of the mistakes that waste runway: Strategy 4: Answer Engine Optimization (AEO)
The thesis: be the source AI cites. Old SEO (30,000-word blog posts, backlink building, keyword stuffing) is declining; zero-click searches growing. AEO in 2026 = SEO in 2010. First movers will own niches for years. Goal: get cited by ChatGPT and Perplexity via structured direct answers, FAQ format, schema markup, comparison tables that AI can parse. Evidence: Peter Levels' AI referrals jumped from 4% to 20% in one month. Expected to keep increasing across e-commerce, SaaS, apps. Playbook (start this week): 1. Google the top 20 questions your customer asks 2. Write defin…
Source: src/lib/bricks/sources/greg-isenberg-bootstrap-distribution.md
Answer 4
In terms of the mistakes that waste runway: Conclusion — The Future of Network Effects
Uber's "War Room" was renamed the "**Peace Room**" ("Uber 2.0," 25,000+ employees, slowing growth, profitability emphasis). The Silicon Valley "circle of life": entrepreneurial employees leave big companies to seed new ones (PayPal/Google/Yahoo alumni founded YouTube, Instagram, LinkedIn, WhatsApp, Salesforce). Networked products have reinvented software and reorganized industries. **Crypto** is "one of the most important new technologies, with networks at its core" — soon "every software developer will have to think about network effects as part of building products."
Source: src/lib/bricks/sources/andrew-chen-cold-start-problem.md
Answer 5
In terms of the mistakes that waste runway: PART III — THE TIPPING POINT
**Ch. 11 — Tinder (Tipping Point).** The Tipping Point = a **repeatable strategy** to launch network after network. Tinder: 2B+ swipes/day, 1M dates/week, $1B+ revenue. Dating has naturally high churn (happy couples leave). **[SOCIAL][BIZBUILDER] The USC party tactic:** the team threw an incredible birthday party for a hyperconnected friend; to get in you had to download the Tinder app (bouncer checked) — highest one-day download spike, but what mattered was it being "**500 of the right people**" — the most social, hyperconnected people, on Tinder at the same time. **95% of…
Source: src/lib/bricks/sources/andrew-chen-cold-start-problem.md
Answer 6
In terms of the mistakes that waste runway: Quick-reference — named tactics and when they work/fail
| Tactic | Works when | Fails when | |---|---|---| | **Atomic network** | Pick the tiniest specific group at a specific time; build density | "Peanut-buttering" across a whole geography/industry | | **Solve a Hard Problem** | Product nails the hard side's unaddressed need (Tinder for women) | Hard side churns → degrades for everyone | | **Come for the Tool, Stay for the Network** | Tool + network tightly integrated (Dropbox folders) | Tool/network divergent → low conversion | | **Invite-Only** | Curated connected users invite connected users | Used purely for hype; or kills…
Source: src/lib/bricks/sources/andrew-chen-cold-start-problem.md
Answer 7
In terms of the mistakes that waste runway: Semantic
- relates-to: [[first1000-pmf-patterns-library.md]] — both treat the 0→first-users problem; Cold Start Theory is the structural backbone, First-1000 is the pattern library; complementary, not overlapping - relates-to: [[greg-isenberg-bootstrap-distribution.md]] — distribution-first growth; Cold Start adds the atomic-network discipline beneath it - relates-to: [[bizbuilder-v1-research-instrument.md]] — BizBuilder's reason to exist (getting vibe-coders past 0 traction) IS the Cold Start Problem; this book is its product playbook - relates-to: [[perf-marketing-playbook.md]] — …
Source: src/lib/bricks/sources/andrew-chen-cold-start-problem.md