| name | solo-founder-gtm |
| description | Use when building go-to-market as a solo founder — distribution playbook for <5 hours/week, AI-powered personalized outreach, community leverage (Twitter/Reddit/ProductHunt/IndieHackers), and sales-led loops for early traction. |
Solo Founder GTM
When to Use
- Product is ready but nobody knows about it
- Spending full time building, zero time on distribution
- Don't have budget or team for paid marketing
- First 100 users → how to get them
- Building audience/distribution before product (ideally)
Core Jobs
1. The Solo GTM Constraint
You have 5 hours/week for GTM. Spend them wisely:
Distribution channel priority for solo AI builder:
Week 1-4 (0 users): Niche communities, warm outreach, direct conversations
Week 5-12 (1-100): Content creation, productized distribution, referral loops
Month 3-6 (100-1000): Scale what's working, one paid channel test
Month 6+ (1000+): Automate winning channels, add second channel
Don't do: Paid ads (too early), PR (too slow), cold content (no audience yet)
Do: Direct outreach, community presence, founder-led content
2. AI-Powered Outreach at Scale
Use AI to write personalized outreach, without spending hours:
prompt = """
I'm reaching out to [job title] at [company stage] companies about [problem].
For each of these 5 people, write a personalized DM (3 sentences max):
- Reference something specific about them (recent post, company news, role)
- Connect it to the problem I solve
- One clear ask (15-min call, feedback, try the tool)
People:
1. [Name] - [LinkedIn URL or description]
2. ...
Tone: conversational, curious, not salesy. No "I hope this message finds you well."
"""
Weekly outreach system:
- Monday: Claude drafts 20 personalized DMs from LinkedIn search
- Tuesday-Thursday: Send 5-7/day (not spammy), track responses
- Friday: Follow up with interested, analyze what messaging worked
Expected results: 5-15% response rate, 3-8% meeting rate on personalized outreach.
3. Community Distribution Playbook
Top communities for solo AI builder, with specific tactics:
Twitter/X (highest leverage for AI tools):
- Post problem/solution content daily (2 minutes with AI drafting)
- Build-in-public threads get organic reach (5-10x more than product posts)
- Engage with [niche] + AI thought leaders (reply-first strategy)
- Tweet formula: "I spent [X hours] on [painful task]. Now I do it in [Y minutes]. Here's how:"
Reddit (highest intent traffic for tools):
- Find 3-5 niche subreddits where your ICP is (r/[industry], r/[role])
- Lurk 2 weeks, learn the culture, then participate genuinely
- Answer questions helpfully — mention your tool only when directly relevant
- "I made a thing" posts work when you're a community member first
- One successful Reddit post = 500-2000 targeted visitors
Indie Hackers:
- Post milestone updates ("From 0 to $1k MRR") — high engagement
- Comment on others' posts (build relationships → they share your launches)
- Post product: genuine community, early adopters willing to try new tools
Product Hunt:
- Day 1 launch (midnight Pacific) matters
- Prepare: 50+ hunter relationships before launch, collect upvotes-day commitments
- Submit: strong tagline (outcome-first), GIF/video demo, hunter with followers
- Expected: 3,000-10,000 visitors day 1 → 100-500 signups if landing page converts
4. Sales-Led Loop (First 10 Paying Customers)
For first 10 customers, sell manually — don't automate yet:
Week 1: Identify 50 people in your ICP (LinkedIn search, Twitter followers, community)
Week 2: Reach out personally to 20 (use AI-drafted personalized DMs)
Week 3: Demo call + configure tool for their specific use case
Week 4: Follow up, convert to paid, ask for referrals
Conversion funnel:
50 outreach → 10 conversations → 5 demos → 2-3 paying customers
What to learn from manual sales:
- Exact language customers use to describe the problem (steal for marketing copy)
- Which use cases convert (focus product on those)
- Real objections ("why not just use ChatGPT?") and how to answer them
- Who refers → that's your real ICP
5. Build-in-Public for Compound Distribution
Document your journey publicly — this is organic distribution that compounds:
Tweet formats that perform well:
- "Day 30: [metric] → [metric]. Here's what I learned:"
- "I almost gave up on [product] until [turning point]. Story:"
- "[Counterintuitive insight] about building AI products as a solo founder:"
- "Launched [feature]. First user said: [quote]. Changed my thinking:"
Build-in-public schedule (30 min/week):
- Monday: 1 insight tweet from the week's learning
- Wednesday: Product update or milestone (with numbers)
- Friday: Behind-the-scenes or process thread (5 tweets)
Key Concepts
- Build-in-public — documenting journey publicly; creates organic audience + distribution
- Sales-led loop — manually sell to first 10-20 customers to learn, then automate
- Community presence — being genuinely helpful in niche communities before promoting
- Productized outreach — systematized personalized outreach using AI, runs 5h/week
- Distribution-first — building audience before product; hardest but highest-leverage
Checklist
Key Outputs
- GTM plan: primary channel, weekly time budget, 90-day targets
- Outreach template: personalized DM system with AI workflow
- Community presence plan: which 3 subreddits/communities to be active in
- Content calendar: 30 min/week posting schedule with formats
Output Format
- 🔴 Critical — no distribution system (product exists, nobody knows), starting with paid ads before organic works, posting only product updates (no value content)
- 🟡 Warning — distributing on too many channels at once (spread thin), skipping manual sales-led phase (miss learning), building in private (no audience)
- 🟢 Suggestion — start build-in-public today (don't wait for v1), pick ONE community and go deep before expanding, use AI to batch weekly outreach in 2 hours
Anti-Patterns
- Waiting until "product is ready" to start distribution (start day 1)
- Trying all channels simultaneously (depth > breadth for solos)
- Product Hunt launch with no preparation (do it right or don't do it)
- Generic outreach ("I think you'd love my product") — AI personalizes this cheaply
- Building audience then not capturing emails (always capture email)
Integration
- Use after
ai-product-positioning (positioning drives all messaging)
- Use with
launch-planning for coordinated Product Hunt launch
- Use with
content-strategy for content calendar execution
- Agent:
@solo-ai-builder designs and reviews the GTM system