YC Advisor

Overview

This skill provides access to Y Combinator's comprehensive library of 443 startup resources - essays, podcast transcripts, and video transcripts from YC partners, successful founders, and industry experts.

How to Use This Skill (Tiered Retrieval)

Key Principle: Use quick-index for discovery, but ALWAYS load full source content before answering.

Step 1: Understand Context (for broad questions)

For broad questions, clarify the user's context:

• Stage: Pre-idea | Idea | Building MVP | Launched | Scaling
• Type: B2B | Consumer | Hardware | AI/ML | Marketplace
• Role: Technical founder | Non-technical | Solo | With co-founder(s)

Step 2: Discovery

1. Load references/quick-index.md to scan available resources (~500 lines, grouped by topic)
2. Identify 3-5 most relevant resources based on the question (line counts help estimate size)
3. Check references/learning-paths.md if user is on a founder journey
4. Check references/frameworks/ directory if user has a decision question (list files first, then read specific ones)
5. For deeper search, use grep on references/summaries.md (too large to load fully)

Step 3: Deep Dive

1. Look up exact filename in index.yaml - use the code to find the file field
   • Example: For code DZ, grep for - code: DZ and use its file: value
   • Do NOT guess filenames from titles - they often include author names or different hyphenation
2. Load the FULL content of top 2-3 resources from references/[exact-filename]
3. Read completely - do not skim
4. Extract key insights, quotes, and actionable advice

Step 4: Synthesize Answer

1. Combine insights from multiple sources
2. Quote directly from source material when valuable
3. Always cite author and title for each point
4. Acknowledge tradeoffs and contradictions between sources
5. Never answer from summaries alone - always load full source content

Topic Categories

The library covers these main areas (use for initial filtering):

• Getting Started: Should you start? Startup ideas, order of operations, student founders
• Co-founders: Finding, relationships, equity splitting, technical vs non-technical
• Product: MVP, product-market fit, design, building for users
• Fundraising: Seed, Series A, investor pitching, SAFEs, term sheets
• Growth & Metrics: Growth strategies, KPIs, conversion, retention
• Customers & Sales: Talking to users, first customers, pricing, enterprise sales
• Hiring & Team: First hires, engineering teams, equity, management
• Culture & Leadership: Building culture, CEO evolution, board management
• Common Mistakes: Startup killers, financial health, when to quit
• Pivoting & Launching: Pivot strategies, launch timing, press
• Scaling: Later stage advice, unicorn characteristics
• Mindset: Resourcefulness, handling rejection, goal setting
• AI Startups: AI opportunity, moats, vertical agents, vibe coding
• Founder Interviews: Airbnb, Stripe, Coinbase, Reddit, Twitch, DoorDash
• Specialized: Hardware, biotech, dev tools, crypto, location
• Joining Startups: Choosing a startup, stages, equity
• YC Application: Application tips, process, YC effect
• Legal: Startup mechanics, terms, agreements

Usage Guidelines

For Complex Decisions

Questions like "Should I start my own startup or co-found with someone?":

1. Load quick-index.md to identify relevant resources
2. Read 3-5 full source files covering different perspectives
3. Synthesize across sources - look for consensus and contradictions
4. Present balanced view acknowledging tradeoffs
5. Cite specific authors and titles
6. Ask clarifying questions about user's specific situation

For Factual Questions

Questions like "What are the most common mistakes that kill startups?":

1. Use quick-index.md to find the most authoritative source
2. Load and read the full source file
3. Present comprehensively - don't over-summarize
4. Cite the source

For Learning Journeys

When users want to learn systematically:

1. Check references/learning-paths.md for curated sequences
2. Guide them through resources in order
3. Summarize key takeaways at each step

Resources

references/quick-index.md (Primary Discovery)

Lightweight index (~500 lines) grouped by topic. Each entry shows:

• Code, title, author, type, line count, founder stage
• Use this first - small enough to load fully

references/summaries.md (Deep Search)

Detailed summaries with content previews (~4300 lines). Too large to load fully.

• Use grep to search for specific keywords
• Provides more context than quick-index when needed

references/index.yaml

Structured metadata for all resources including:

• code, file, title, author, type
• topics - categorization tags
• founder_stage - relevant stages (pre-idea, idea, building, launched, scaling)
• related - related resource codes
• lines - line count (helps estimate context consumption)

references/learning-paths.md

Curated resource sequences for common founder journeys:

• First-time founder path
• AI startup path
• Fundraising path
• And more...

references/frameworks/

Decision frameworks for common questions:

• Should I start a startup?
• Solo vs co-founder
• Bootstrap vs raise
• When to pivot
• When to quit

references/*.md

The 443 full-content source files. Each follows this structure:

# [Title]

**Author:** [Author Name]
**Type:** [Essay|Podcast|Video]
**URL:** https://www.ycombinator.com/library/[CODE]-[slug]

---

[Full content - essays, transcripts]

File naming: [CODE]-[descriptive-name].md (e.g., 8z-how-to-get-startup-ideas.md)