bootstrapped-saas
Playbook for bootstrapped and early-stage SaaS founders based on proven case studies ($0 to $5M ARR with 6 people, and creator-to-business flywheel models).
Skill by The13thNode
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/the13thnode-bootstrapped-saas
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: marketing
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/bootstrapped-saas
What's inside
- Skill name
bootstrapped-saas- Description
- Playbook for bootstrapped and early-stage SaaS founders based on proven case studies ($0 to $5M ARR with 6 people, and creator-to-business flywheel models). Use proactively when a founder is bootstrapped or capital-efficient, needs to grow without paid acquisition, is facing a churn crisis, wants to build a freemium or usage-based model, or asks "how do I grow without VC money". Also trigger for "PLG", "inbound-led outbound", "creator-led growth", "build in public", or "how did [bootstrapped company] grow".
- License
- MIT
- Instructions
- 256 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Bootstrapped SaaS — Founder OS Two proven playbooks for capital-efficient growth: the bootstrap path ($0→$5M ARR, 6-person team) and the creator-to-business flywheel model. --- ## Playbook 1: The Bootstrap Model ### The 5 Inflection Points **Inflection 1: Pre-launch personal branding + waitlist** - Build audience before launch — months before the first line of code ships - Target: 3,000+ waitlist signups before launch - Key principle: Distribution before product. Launch into an audience, not at an audience. **Inflection 2: Pricing pivot to usage-based** - Problem: Unlimited free tier → freeloaders, no conversion pressure - Fix: Usage-based pricing with clear caps and upgrade pathway - Key principle: Freemium must have friction at the right place. Too generous = no upgrade. **Inflection 3: Hybrid PLG + sales model** - Add sales motion on top of self-serve once PLG is working - Product qualified leads (PQLs) from usage signals → sales conversation - Key principle: PLG and sales aren't opposites. PLG generates signal, sales converts signal. **Inflection 4: LinkedIn viral loop content** - Founder-led content engine (not company brand) - LinkedIn posts → profile visits → product signups → word of mouth - Key principle: At sub-$5M ARR, founder content > company content, always. **Inflection 5: Inbound-led outbound engine** - Content warms → intent signal fires → targeted outreach converts - 10%+ conversion from "cold" email because contacts already saw the content - Key principle: Content warms the list. Outbound converts the warm list. ### What Doesn't Work (Critical Lessons) | Mistake | What Happened | The Fix | |---------|--------------|---------| | Overly generous free tier | Freeloaders, no upgrade pressure | Usage caps at natural friction points | | Assuming users knew what to do | Churn reason #1: "what now?" | Onboarding that shows the outcome, not the feature | | Positioning too broadly | Wrong customers, high churn | Narrow ICP + explicit "not for X" statements | | No filtering/segmentation | Firehose of noise, users churned | Quality over quantity, ICP filtering built in | | Heavy paid ads | Near-zero ROI | Cut entirely, doubled down on founder content | | Underestimating copycats | Price compression | Build switching costs early | ### The Churn Crisis Response Framework If you hit a plateau and churn spikes, run this diagnostic: ``` CHURN CRISIS AUDIT Current situation: - MRR: $[X] (trend: up/flat/declining) - Gross churn rate: [X]% - Net revenue retention: [X]% - Avg customer age at churn: [X] months Run this analysis: 1. Exit interview pattern: what are churned customers saying? (top 3 reasons) 2. Activation analysis: what % reach the "aha moment" within 14 days? 3. Positioning check: is what we say we do matching what churned customers thought they bought? 4. ICP quality: are the churning customers our target ICP or edge cases we shouldn't have taken? For each churn reason identified: - Is this a product problem (feature missing)? - Is this an onboarding problem (they never got value)? - Is this a positioning problem (wrong expectation set)? - Is this an ICP problem (wrong customer)? Prioritize: which 1 fix would cut churn rate by 20%+ in 90 days? ``` ### The Inbound-Led Outbound Playbook **Step 1: Content warming** - Publish LinkedIn content addressing your ICP's exact pressure (see Pressure Profile in gtm-strategy) - Consistency matters more than virality — 3× per week minimum for 8+ weeks - Every post ends with a soft signal mechanism (not a CTA — a reason to visit profile) **Step 2: Intent signal identification** - Profile visits after a specific post = warm signal - Website visits from LinkedIn = warm signal - Engagement on multiple posts = warm signal **Step 3: Outreach that converts** ``` Subject: [Their company] + [specific post topic] Hi [Name], Saw you [engaged with / visited after] my post on [topic]. Most [role] I talk to who care about [topic] are dealing with [specific pressure]. [1-sentence what we solve] — we did this for [similar company] and [specific outcome]. Worth a 15-min call? ``` **Why this works at 10%+ conversion**: The prospect has already self-selected by engaging with content that speaks to their exact problem. ### Freemium Design Framework ``` FREEMIUM ARCHITECTURE PROMPT My product: [description] Target ICP: [specific] Current pricing: [tiers and prices] Design a freemium model that: 1. Delivers genuine value (not crippled demo) 2. Creates natural upgrade pressure at the right friction point 3. Identifies power users via usage signals 4. Converts to paid within [X] days of activation For each tier, specify:
From The13thNode/VibeCorp_PromptCEO, MIT.
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Signals
- Stars
- 3
- Forks
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- Open issues
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- Last commit (this folder)
- Apr 5, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
bootstrapped-saas skill. Agent Mart. https://agentmart.dev/skills/the13thnode-bootstrapped-saas (last updated 2026-10-24)