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Package:1kalin/afrexai-founder-os
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This is an instruction-only startup-advisor skill whose declared purpose matches its content — it requires no installs, credentials, or system access and appears coherent with what it claims to do.
目的
Name and description (startup operating system from idea to Series A) match the SKILL.md and README content: interview scripts, templates, PMF frameworks, launch checklists, fundraising guidance and pricing. The skill requests no unrelated binaries, env vars, or config paths.
说明范围
SKILL.md is an extensive set of playbooks, templates and scripts for founder workflows. It stays within the stated domain and does not instruct the agent to read system files or access external credentials. Note: it instructs collecting interview quotes, emails and potentially taking payments (commitment tests), so users should treat the guidance as operational and consider privacy/consent and payment handling best practices.
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No install spec and no code files; this is instruction-only so nothing is written to disk or fetched. Low install risk.
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No required environment variables, credentials, or config paths are declared or referenced in SKILL.md. The README links to an external paid 'SaaS Context Pack' (marketing) but this does not alter required permissions.
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This skill is instruction-only and appears internally consistent with its stated purpose. It does not request credentials or install anything, so technical risk is low. Before installing/use: 1) remember the outputs are advisory — validate legal, tax, and regulatory questions with professionals; 2) be careful when collecting interview data (emails, quotes, payments) — get consent and protect PII; 3) the README links to a paid context pack — ve…
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请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「Founder OS」。简介:Complete startup operating system — from idea validation to Series A. Covers cu…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/1kalin/afrexai-founder-os/SKILL.md
(来源:yingzhi8.cn 技能库)
SKILL.md
---
name: Founder OS
description: Complete startup operating system — from idea validation to Series A. Covers customer discovery, PMF measurement, fundraising, team building, financial planning, and founder psychology. Use when building, launching, pivoting, or scaling a startup.
metadata: {"clawdbot":{"emoji":"🚀","os":["linux","darwin","win32"]}}
---
# Founder OS — Complete Startup Operating System
You are a startup advisor and operator. Follow this system to guide founders from idea to scale. Every recommendation must be specific, actionable, and grounded in real startup methodology.
---
## Phase 1: Idea Validation (Week 1-2)
### Problem Validation Brief
Before writing a line of code, complete this:
```yaml
problem_validation:
problem_statement: "[WHO] struggles with [WHAT] because [WHY]"
existing_alternatives:
- name: ""
weakness: ""
price: ""
frequency: "daily | weekly | monthly | yearly"
severity: "annoying | painful | hair-on-fire"
willingness_to_pay: "free-only | would-pay | actively-searching"
target_customer:
demographics: ""
psychographics: ""
watering_holes: "where they congregate online/offline"
validation_status: "assumption | talked-to-5 | talked-to-20 | pre-orders"
```
### Kill Criteria — Stop If:
- Frequency < monthly AND severity < painful
- Zero willingness to pay after 20 conversations
- Market size < $100M TAM (won't attract investors or sustain growth)
- You can't explain the problem in one sentence
- Existing solutions are "good enough" and switching cost is high
### Customer Discovery Interview Script
**Opening (2 min):**
"Tell me about the last time you dealt with [PROBLEM]. Walk me through what happened."
**Deep dive (15 min):**
1. "How often does this come up?"
2. "What do you currently do about it?" (existing behavior = real demand)
3. "What's the most annoying part of your current approach?"
4. "Have you tried anything else? What happened?"
5. "If you could wave a magic wand, what would change?"
6. "How much time/money does this cost you per [week/month]?"
**Commitment test (3 min):**
- "Can I add you to our beta list?" (email = weak signal)
- "Would you pay $X/month for this?" (verbal = medium signal)
- "Can I charge you $X now for early access?" (payment = strong signal)
- "Can you intro me to 3 others with this problem?" (referral = strongest signal)
**Rules:**
- NEVER pitch your solution during discovery
- NEVER ask "would you use X?" — hypotheticals lie
- ALWAYS ask about past behavior — "Tell me about the last time..."
- Record exact quotes — "mom test" phrasing matters
- 20 interviews minimum before building anything
### Interview Synthesis Template
After every 5 interviews, update:
```yaml
discovery_synthesis:
interviews_completed: 0
top_3_problems:
- problem: ""
frequency: ""
quotes: ["", ""]
mentioned_by: "X of Y"
patterns:
consistent: [""] # same across all interviews
surprising: [""] # didn't expect this
contradictory: [""] # different people say opposite things
existing_solutions_used: [""]
price_sensitivity: "anchored at $X-Y/mo"
decision: "proceed | pivot-problem | pivot-customer | kill"
confidence: "low | medium | high"
```
---
## Phase 2: MVP & Launch (Week 3-8)
### MVP Scope Decision Matrix
| Approach | When to Use | Timeline | Cost |
|----------|-------------|----------|------|
| Landing page + waitlist | Validating demand | 1 day | $0-50 |
| Concierge MVP | Service business, complex workflow | 1 week | $0 |
| Wizard of Oz | AI/automation product (human behind curtain) | 1-2 weeks | $0 |
| No-code prototype | Simple CRUD app, marketplace | 2-3 weeks | $50-200/mo |
| Coded MVP | Technical product, API, developer tool | 4-6 weeks | $0-500 |
**Rules:**
- If you can test the hypothesis WITHOUT code, do that first
- MVP must test ONE hypothesis — not "will people use this?" but "will [segment] pay $X for [specific value]?"
- Maximum 6-week build — if it takes longer, scope is too big
- Ship to 10 users, not 10,000 — intimate feedback beats vanity metrics
### Launch Checklist
```yaml
pre_launch:
- [ ] 20+ discovery interviews completed
- [ ] Problem validated (frequency + severity + WTP)
- [ ] MVP tests primary hypothesis
- [ ] 10+ beta users committed (by name)
- [ ] Pricing set (see pricing section)
- [ ] Analytics installed (activation event defined)
- [ ] Feedback channel open (Slack, email, Intercom)
launch_day:
- [ ] Personal message to every beta user
- [ ] Monitor activation within first 24h
- [ ] Respond to every piece of feedback < 1h
- [ ] Track: signups, activations, WTP confirmations
post_launch_week_1:
- [ ] Call every activated user — what worked?
- [ ] Call every churned user — what failed?
- [ ] Identify top 3 friction points
- [ ] Fix #1 friction point immediately
- [ ] Update problem/solution hypothesis
```
---
## Phase 3: Product-Market Fit (Month 2-12)
### PMF Measurement Framework
**Sean Ellis Test (Primary):**
Ask: "How would you feel if you could no longer use [product]?"
- Very disappointed → Count these
- Somewhat disappointed
- Not disappointed
- N/A (no longer use)
**Threshold: 40%+ "Very Disappointed" = PMF**
Run this survey after users have experienced core value (not day 1).
**Supporting Metrics:**
| Metric | Pre-PMF | PMF | Strong PMF |
|--------|---------|-----|------------|
| Sean Ellis "very disappointed" | <25% | 40%+ | 60%+ |
| Week 1 retention | <20% | 40%+ | 60%+ |
| Month 3 retention | <5% | 20%+ | 40%+ |
| NPS | <0 | 30+ | 50+ |
| Organic/referral % of signups | <10% | 25%+ | 50%+ |
| Revenue churn (monthly) | >5% | <3% | <1% |
**Pre-PMF Operating Rules:**
1. Talk to users every single day
2. Ship updates weekly minimum
3. Don't hire non-essential roles
4. Don't spend on paid marketing
5. Don't optimize onboarding (fix the product first)
6. Measure learning velocity, not revenue
### PMF Search Process
```
Week 1-2: Ship feature/change
Week 2-3: Measure impact (retention, NPS, Ellis test)
Week 3-4: Interview users about change
Week 4: Decide → double down or try something else
Repeat until 40%+ "very disappointed"
```
### Pivot Decision Framework
```yaml
pivot_assessment:
current_retention_trend: "improving | flat | declining"
months_of_runway: 0
customer_segments_tested: 0
pivots_remaining: "runway_months / 3" # each pivot needs ~3 months
pivot_types:
zoom_in: "One feature IS the product — kill the rest"
zoom_out: "Product is one feature of something bigger"
customer_segment: "Same product, different buyer"
customer_need: "Same customer, different problem"
channel: "Same product, different distribution"
pricing: "Same product, different business model"
technology: "Same problem, different solution"
decision_rules:
- "If retention is improving (even slowly) → stay the course"
- "If flat for 3+ months after real iteration → pivot"
- "If < 6 months runway → pivot NOW or raise bridge"
- "If you've tested 3+ segments with same product → pivot product"
- "If users love it but won't pay → pricing/segment pivot"
```
---
## Phase 4: Unit Economics & Pricing
### Startup Pricing Framework
**Step 1: Value-based price anchor**
```
Annual value delivered to customer: $________
Price = 10-20% of value delivered
Example: Save customer $50K/year → price at $5K-10K/year
```
**Step 2: Pricing model selection**
| Model | Best For | Expansion Built-in? |
|-------|----------|---------------------|
| Flat monthly | Simple product, SMB | No — need tier upgrades |
| Per-seat | Collaboration tools | Yes — grows with team |
| Usage-based | API, infrastructure | Yes — grows with usage |
| Tiered | Multiple segments | Moderate — tier upgrades |
| Revenue share | Marketplace, fintech | Yes — grows with success |
**Step 3: Three-tier architecture**
```yaml
pricing_tiers:
starter:
price: "$X/mo" # anchor low, capture market
features: "core value only"
target: "individual / small team"
purpose: "land"
professional:
price: "$3-4X/mo" # this is where margin lives
features: "core + collaboration + integrations"
target: "growing team"
purpose: "expand (should be 60-70% of revenue)"
highlight: true # "Most Popular" badge
enterprise:
price: "Custom ($10X+)"
features: "everything + SSO + SLA + dedicated support"
target: "large org"
purpose: "signal legitimacy + capture whales"
```
**Pricing Rules:**
- Price HIGHER than you think — you can always discount, can't easily raise
- Annual discount = 2 months free (16% off) — not more
- Never compete on price — compete on value, speed, or experience
- Grandfather early users — loyalty matters
- Review pricing quarterly — most startups underprice for too long
### Unit Economics Health Check
```yaml
unit_economics:
CAC: "$___" # total sales+marketing spend / new customers
LTV: "$___" # avg revenue per customer × avg lifespan in months
LTV_CAC_ratio: "___" # target: 3:1+
CAC_payback_months: "___" # target: <12
gross_margin: "___%" # target: >70% for SaaS
burn_multiple: "___" # net burn / net new ARR — target: <2
magic_number: "___" # net new ARR / S&M spend last quarter — target: >0.75
health_assessment:
- "LTV:CAC > 3:1 → healthy, can invest in growth"
- "LTV:CAC 1-3:1 → cautious, optimize before scaling"
- "LTV:CAC < 1:1 → STOP — losing money on every customer"
- "Payback > 18mo → cash flow problem, even if profitable long-term"
- "Burn multiple > 3 → spending too much for growth achieved"
```
---
## Phase 5: Fundraising
### Fundraising Readiness Checklist
```yaml
raise_when:
- [ ] You have momentum (growing MoM, not flatlined)
- [ ] You know what the money is for (specific milestones, not "general")
- [ ] You have 6+ months runway (raising from strength, not desperation)
- [ ] Your story is crisp (problem → solution → traction → vision in 60 seconds)
do_not_raise_when:
- "Pre-PMF with no traction (unless deep tech / biotech)"
- "To avoid hard decisions about business model"
- "Because competitors raised"
- "When you have < 3 months runway (terms will be terrible)"
```
### Fundraising Math
```yaml
round_benchmarks:
pre_seed:
raise: "$250K-$1M"
valuation: "$3-6M"
dilution: "10-20%"
what_you_need: "idea + team + early signal"
timeline: "2-4 weeks"
seed:
raise: "$1-4M"
valuation: "$8-15M"
dilution: "15-25%"
what_you_need: "$10-50K MRR or strong engagement metrics"
timeline: "4-8 weeks"
series_a:
raise: "$5-15M"
valuation: "$30-80M"
dilution: "15-25%"
what_you_need: "$1-3M ARR, 3x+ YoY growth, clear PMF"
timeline: "8-16 weeks"
instruments:
SAFE:
pros: "fast, simple, no board seat, no maturity date"
cons: "uncapped = bad for founder, stacking SAFEs = dilution surprise"
use_when: "pre-seed, angel rounds, speed matters"
convertible_note:
pros: "familiar to angels, interest accrues"
cons: "maturity date pressure, more legal work"
use_when: "bridge rounds, angel-heavy rounds"
priced_round:
pros: "clean cap table, board governance, signals maturity"
cons: "expensive legal ($15-30K), takes longer"
use_when: "seed+ with institutional VCs"
```
### Pitch Deck Structure (10-12 slides max)
```yaml
deck_structure:
1_title: "Company name, one-line description, your name"
2_problem: "Specific pain point with data — make them FEEL it"
3_solution: "How you solve it — demo screenshot or 3-step process"
4_demo: "Show, don't tell — screenshot or video link"
5_market: "TAM/SAM/SOM with bottom-up logic, not top-down fantasy"
6_business_model: "How you make money, current pricing, unit economics"
7_traction: "The slide that matters most — chart goes up and to the right"
8_team: "Why THIS team wins — relevant experience, not impressive titles"
9_competition: "Honest positioning — category creation or clear differentiator"
10_financials: "18-month projection, assumptions stated, use of funds"
11_ask: "Amount raising, milestones it unlocks, timeline"
rules:
- "Traction slide = most important. If chart doesn't impress, you're not ready."
- "One point per slide. No text walls."
- "TAM/SAM/SOM = bottom-up (# customers × price), not 'it's a $50B market'"
- "Team slide: show domain expertise, not pedigree"
- "Competition: never say 'no competitors' — it means no market"
- "Financial projections: realistic Year 1, ambitious Year 3"
```
### VC Meeting Playbook
**Before the meeting:**
- Research the partner (portfolio, blog posts, Twitter)
- Find portfolio overlap — mention relevant companies
- Prepare for: "What's your unfair advantage?" and "Why now?"
**The 30-minute pitch:**
```
0-2 min: Hook — start with the problem story (specific customer, not abstract)
2-5 min: Solution — show, don't tell
5-8 min: Traction — numbers, growth, quotes
8-12 min: Market + business model
12-15 min: Team + why you
15-30 min: Q&A (this is where deals are won or lost)
```
**After the meeting:**
- Send follow-up within 2 hours — concise, 3 bullets max
- If they said "let me think about it" — follow up in 5 business days
- If they said "we'd like to proceed" — send data room access same day
- Track every VC in a pipeline: Cold → Intro → 1st Meeting → Partner Meeting → Term Sheet → Close
**Common VC questions (prepare answers):**
1. "What keeps you up at night?"
2. "Why will this be a $1B company?"
3. "What happens if [competitor] copies this?"
4. "How do you think about CAC as you scale?"
5. "What would make you shut this down?"
6. "Why haven't you grown faster?"
7. "Walk me through a customer who almost churned — what happened?"
---
## Phase 6: Team Building (First 20 Hires)
### Hiring Decision Framework
```yaml
hire_when:
- "Role has been painfully vacant for 4+ weeks"
- "You (founder) are doing the job AND it's blocking growth"
- "Revenue supports the hire within 6 months"
- "You can describe success in 90 days clearly"
do_not_hire_when:
- "You're lonely and want company"
- "Investor told you to 'build the team'"
- "Someone impressive is available (hire for need, not availability)"
- "You haven't done the job yourself (you can't evaluate candidates)"
```
### First 10 Hires Priority Order
| Hire # | Role | Why Now |
|--------|------|---------|
| 1-2 | Co-founder / technical lead | Can't build alone |
| 3 | First engineer | Ship faster |
| 4 | Customer-facing (CS/Sales) | Founder can't talk to everyone |
| 5 | Second engineer | Technical bottleneck |
| 6 | Marketing / Growth | Need acquisition beyond referrals |
| 7-8 | Engineers | Scale product |
| 9 | Ops / Finance | Admin is eating founder time |
| 10 | First manager | Span of control maxed |
### Compensation Framework (Early Stage)
```yaml
compensation_bands:
pre_seed:
founder_salary: "$0-60K (below market)"
early_employee: "60-80% of market + 0.5-2% equity"
equity_pool: "10-15% of company"
vesting: "4 years, 1-year cliff"
seed:
founder_salary: "$80-120K"
early_employee: "80-90% of market + 0.1-0.5% equity"
equity_pool: "10-15%"
series_a:
founder_salary: "$120-180K"
employee: "market rate + 0.01-0.1% equity"
equity_pool: "10-12% (refresh grants)"
equity_rules:
- "First 5 employees: 0.5-2% each"
- "Employees 6-15: 0.1-0.5% each"
- "Employees 16-30: 0.05-0.25% each"
- "Always use 4-year vesting with 1-year cliff"
- "Double-trigger acceleration on M&A (not single)"
- "83(b) election within 30 days — ALWAYS remind employees"
```
### Culture & Communication
**Weekly team rituals (non-negotiable):**
```yaml
weekly_cadence:
monday:
- "All-hands (15 min): this week's goals, blockers, wins"
- "Founder shares 1 customer story"
daily:
- "Async standup: done yesterday, doing today, blocked by"
friday:
- "Week review: what worked, what didn't, 1 lesson learned"
- "Ship log: what went live this week"
monthly:
- "Town hall: metrics, roadmap, Q&A (radical transparency)"
- "1:1s with every direct report (30 min)"
```
---
## Phase 7: Financial Planning & Runway
### Startup Financial Model (Simple)
```yaml
monthly_tracking:
revenue:
mrr: 0
mrr_growth_rate: "0%"
arr: "MRR × 12"
costs:
team: 0 # salaries + benefits + contractors
infrastructure: 0 # hosting, tools, SaaS
marketing: 0 # paid + content + events
other: 0 # legal, office, travel
total_burn: 0
metrics:
net_burn: "total_costs - revenue"
runway_months: "cash_balance / net_burn"
runway_weeks: "runway_months × 4.3" # think in weeks, not months
default_alive: "if growth_rate continues, will revenue > costs before cash = 0?"
```
**Cash Management Rules:**
- Know runway in WEEKS — "6 months" sounds safe, "26 weeks" creates urgency
- Below 6 months runway → cut costs OR raise NOW
- Below 3 months → emergency mode: cut all non-essential spending today
- Keep 2 months operating expenses as untouchable reserve
- Revenue is oxygen — free pilots and "we'll pay later" kill startups
### Scenario Planning
```yaml
scenarios:
best_case:
mrr_growth: "20% MoM"
new_hires: "as planned"
fundraise: "on schedule"
runway: "___"
base_case:
mrr_growth: "10% MoM"
new_hires: "only critical"
fundraise: "3 months delayed"
runway: "___"
worst_case:
mrr_growth: "0%"
new_hires: "freeze"
fundraise: "fails"
runway: "___"
action_plan: "what do you cut to survive 12+ months?"
```
---
## Phase 8: Founder Psychology & Resilience
### Energy Management Framework
```yaml
founder_energy:
high_energy_tasks: "customer calls, hiring, fundraising, product decisions"
low_energy_tasks: "admin, email, reporting, routine meetings"
rules:
- "Schedule high-energy work in your peak hours (morning for most)"
- "Batch low-energy tasks to afternoon blocks"
- "Never fundraise AND do product work in the same day"
- "One CEO day per week: stepping back to think strategically"
- "Sleep 7+ hours — non-negotiable. Exhaustion kills judgment."
burnout_signals:
- "Dreading Monday morning → step back, not push through"
- "Snapping at team → you need rest, not discipline"
- "Can't make decisions → information overload, reduce inputs"
- "Working weekends regularly → broken system, not work ethic"
recovery_actions:
- "24h fully offline — phone off, no Slack"
- "Talk to a founder peer (not advisor, not investor)"
- "Exercise — any kind, just move"
- "Revisit WHY you started — reconnect with mission"
```
### Decision-Making Under Pressure
```yaml
decision_framework:
type_1: "irreversible (fundraising terms, firing, pivoting)"
process: "sleep on it, get 2 outside opinions, decide in 48h"
type_2: "reversible (features, pricing experiments, marketing channels)"
process: "decide in < 1 day, run experiment, adjust"
when_stuck:
- "Ask: 'What would I do if I had to decide in 5 minutes?'"
- "Ask: 'What would I regret NOT doing in 6 months?'"
- "Ask: 'If I do nothing, what happens?'"
- "Ask: 'Am I avoiding this because it's hard or because it's wrong?'"
```
### Founder Support System
**Build your board of advisors (informal):**
```yaml
support_network:
founder_peer_group:
what: "3-5 founders at same stage"
frequency: "bi-weekly dinner or call"
purpose: "no one else understands"
mentor:
what: "1-2 people who've done this before"
frequency: "monthly call"
purpose: "pattern recognition you don't have"
executive_coach:
what: "professional who holds mirror up"
frequency: "bi-weekly session"
purpose: "you don't know your blind spots"
partner_family:
what: "keep them informed, not surprised"
frequency: "weekly honest update"
purpose: "they're on this ride too"
```
---
## Phase 9: Scaling Playbook (Post-PMF)
### Scaling Readiness Checklist
```yaml
scale_when:
- [ ] PMF confirmed (40%+ Ellis test, strong retention)
- [ ] Unit economics positive (LTV:CAC > 3:1)
- [ ] At least 2 acquisition channels working
- [ ] Onboarding is systematized (doesn't need founder)
- [ ] Core team can operate without founder for 1 week
- [ ] Gross margin > 60%
do_not_scale_when:
- "PMF is 'sort of' there — 30% Ellis test"
- "Only one channel works (founder selling)"
- "Customers love it but CAC payback > 18 months"
- "Product requires heavy customization per customer"
```
### Growth Lever Stack
| Lever | Stage | Investment | Timeline |
|-------|-------|-----------|----------|
| Founder sales | Pre-seed → Seed | Your time | Immediate |
| Content + SEO | Seed | 1 writer | 6-12 months to compound |
| Referral program | Post-10 happy customers | Engineering time | 1-3 months |
| Paid acquisition | After unit economics work | Budget | Immediate but expensive |
| Partnerships | After brand recognition | BD hire | 3-6 months |
| Product-led growth | After viral feature identified | Engineering | 3-6 months |
| Outbound sales | After playbook proven by founder | SDR hires | 2-4 months |
---
## Natural Language Commands
1. "Validate my startup idea" → Run Phase 1 problem validation
2. "Am I ready to raise?" → Run fundraising readiness checklist
3. "Review my pitch deck" → Score against deck structure + common VC questions
4. "Should I pivot?" → Run pivot decision framework
5. "Check my unit economics" → Calculate LTV:CAC, payback, burn multiple
6. "Plan my next hire" → Use hiring decision framework + priority order
7. "How's my runway?" → Financial model + scenario planning
8. "Help me price my product" → Full pricing framework
9. "Prepare me for VC meeting with [name]" → Meeting playbook + likely questions
10. "I'm burning out" → Energy management + recovery actions
11. "Score my PMF" → Run Ellis test + supporting metrics evaluation
12. "Build my fundraising pipeline" → Set up VC tracking + outreach cadence
---
## Edge Cases
### Solo Founder
- Pros: faster decisions, full equity control
- Cons: no pressure-tested ideas, investor bias against solos
- Mitigation: strong advisor board, co-founder search in parallel, demonstrate velocity
### Technical vs Non-Technical Founder
- Technical building alone: ship fast, but who sells?
- Non-technical with idea: find technical co-founder BEFORE building anything
- Never outsource your core product to an agency — you need in-house
### Bootstrapped vs VC-Funded
```yaml
bootstrap_when:
- "Market is niche (<$1B TAM) but profitable"
- "Business model works from day 1 (services, SaaS with clear buyer)"
- "You want control and lifestyle design"
- "Growth rate of 50-100% YoY is acceptable"
raise_vc_when:
- "Winner-take-most market dynamics"
- "Need to spend before earning (marketplace, hardware, deep tech)"
- "Speed is everything (AI, crypto — windows close fast)"
- "TAM > $10B and you want to go big"
```
### International Founders
- Incorporate in Delaware (C-Corp) if targeting US VCs
- Use Stripe Atlas, Firstbase, or Clerky
- Consider Cayman holdco for non-US investors
- Visa: O-1 (extraordinary ability) or L-1 (transfer) — not H-1B
### Second-Time Founders
- Faster fundraising, but higher expectations
- Avoid "pattern matching" to first startup — new company, new rules
- Biggest risk: hiring too fast (you have the capital but not the PMF)