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Founder OS

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.

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Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/afrexai-founder-os/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1kalin/afrexai-founder-os/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/afrexai-founder-os/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Founder OS Compares

Feature / AgentFounder OSStandard Approach
Platform SupportmultiLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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.

Which AI agents support this skill?

This skill is compatible with multi.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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)