Answer 1
PART II — THE COLD START PROBLEM
**Ch. 4 — Tiny Speck / Slack.** Tiny Speck spent 4 yrs 10 mo, raised $17M, hired 45 people on the multiplayer game **Glitch** — Butterfield: "97% who signed up would be out of there within five minutes" (leaky bucket). Relaunched as **Slack** → 20M DAU, ~1M businesses, exited to Salesforce for ~$26B, $800M+ revenue. Slack grew from an internal IRC-based "frankentool" (Slack = Searchable Log of All Conversation and Knowledge). **[BIZBUILDER]** Butterfield personally signed up 45 companies in private beta — "I just had friends at other companies" — and personally handled the …
Source: src/lib/bricks/sources/andrew-chen-cold-start-problem.md
Answer 2
PART V — THE CEILING
**Ch. 22 — Twitch (the Ceiling).** At scale, the growth curve teeters between expansion and contraction — "an exponential curve turns into a squiggle." Negative late-stage forces: saturation, churn, trolls/spam/fraud, lower-quality new-user engagement, regulation. Twitch began as **Justin.tv**; the first atomic network was Justin Kan + tech viewers; hit a ceiling — "When something's not growing on the Internet, it's basically on the brink of declining." A gaming team (Emmett Shear, Kevin Lin) split off (gaming was 2–3% of traffic; code-named Xarth.tv); the board hated it (t…
Source: src/lib/bricks/sources/andrew-chen-cold-start-problem.md
Answer 3
PART VI — THE MOAT
**Ch. 29 — Wimdu versus Airbnb.** If your product has network effects, your competitors likely do too. **Wimdu** — a near-exact Airbnb clone from the Samwer brothers' Rocket Internet (2011), launched with $90M funding, 400+ employees, "ten times bigger than Airbnb on paper." Airbnb was then 2.5 yrs old, 40 employees, USD-only. Wimdu scraped Airbnb listings, posed as guests to recruit Airbnb hosts, built 50,000+ listings — then **went to zero** by 2014–2018. **"All supply isn't created equal"** (Airbnb employee #17): "Wimdu's top 10% of inventory was at the bottom 10% of Air…
Source: src/lib/bricks/sources/andrew-chen-cold-start-problem.md
Answer 4
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 pro…
Source: src/lib/bricks/sources/greg-isenberg-bootstrap-distribution.md
Answer 5
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 6
Cross-cutting takeaways most relevant to social / community growth
1. **Engagement Effect levers** — layer on new use cases, reinforce the core loop, reactivate churned users. 2. **Master the hard side (creators) first** — give them tools, monetization (even small — Twitch tipping, "$50/month was a big deal"), distribution. Homegrown native creators beat imported ones. 3. **Context collapse** is the central late-stage social problem — manage with networks-of-networks (channels, groups, finstas, Stories). 4. **Moderation must be built as software** — upvote/downvote/flag/block; Reddit's governance-as-city-planning model. 5. **Overcrowding &…
Source: src/lib/bricks/sources/andrew-chen-cold-start-problem.md
Answer 7
B008 — Seed known targets → Apify "Similar to Similar" scraper expands 10x to 1000s → e
Seed known targets → Apify "Similar to Similar" scraper expands 10x to 1000s → enrichment (fake follower check, audience fit) → scoring. Works for influencer discovery, B2B lookalike, community mining. **Tool candidates:** T040 Apify, T056 Upfluence, T057 Modash. **Integration:** core of V006.
Source: _reference/bricks/README.md