Distribution intelligence for founders

You built the product.
Now find the people
who need it.

An AI-powered distribution operating system that discovers your customers, identifies buying signals, recommends where to engage, and learns which channels actually generate revenue.

74
opportunities discovered
18
high intent
6
urgent
3
partnership signals
Live discovery — Reddit
r/shopify · 3 hours ago
Looking for an affordable virtual try-on solution for Shopify.
96
match
Exact ICPExact problemActive solution searchRecentStrong purchase signal
Recommended action

Answer genuinely. Mention product only where contextually appropriate.

Effort: 7 min·Potential: Very High
The problem

AI made building easy.
Distribution didn't get easier.

Thousands of founders can now build excellent products — then stall on questions that used to be a growth team's job:

  • · Who actually needs my product?
  • · Where are those people?
  • · Who is actively looking for a solution?
  • · Which channels should I prioritize?
  • · What should I say?
  • · Which activities produce customers?

Founder Distribution OS is the growth department a solo founder can't afford to hire — not another dashboard to manage.

How it works

Discover customers → identify intent → recommend action → execute → measure → learn

DISCOVER
IDENTIFY INTENT
RECOMMEND
DRAFT
REVIEW
EXECUTE
MEASURE
LEARN
1 · Product intelligence

Enter your URL and description. The platform derives your ICP, buyer personas, competitors, keywords, buying triggers and objections — and shows which claims are verified vs inferred.

2 · Distribution discovery

Source adapters continuously scan communities for questions, complaints, 'looking for…' posts, competitor dissatisfaction and buying signals. Nothing is platform-locked.

3 · Measured execution

Draft replies and content for human review, track prospects and partnerships, run channel experiments, and watch which channel produces customers — not vanity metrics.

Distribution intelligence

A map of every channel that could work — scored for your product

Communities, social, search, direct outreach, partnerships and marketplaces — each scored on ICP fit, intent density, competition and effort, with a recommended strategy. Know where to go deep before you spend a week anywhere.

RedditLinkedInHacker NewsSEOEmail outreachAgenciesProduct HuntShopify ecosystemNewsletters
Reddit
Opportunity: Very High
ICP Fit
94
Intent
91
Competition
42
Recommendation“Prioritize. Your audience is actively discussing the problem.”
High-intent opportunity
“Looking for an affordable virtual try-on solution for Shopify.”
96/100
98
ICP Match
97
Problem Match
94
Buying Intent
99
Recency
31
Competition
89
Engagement
Why this matters
Exact ICP
Exact problem
Active solution search
Recent
Strong purchase signal
Intent engine

Every opportunity is scored — and the score explains itself

“Does anyone know a tool for…”, “I'm looking for…”, “Is there an alternative to…”, “I wish there was…” — these aren't social posts, they're distribution opportunities. Each one is classified (problem awareness → active buying → partnership) with WHAT happened, WHY it matters, WHY it matches you, and WHAT to do next.

Customer intelligence

Prospect profiles built from public signals

When someone in your ICP expresses the problem, the platform builds a profile: who they are, what they said, their ICP fit and buying intent — with verified information clearly separated from inference.

Sarah Mitchell — Founder, Example Fashion
via LinkedIn
ICP 94Intent 88
Signals
✓ Shopify store
✓ 400 products
✓ Recently launched collection
✓ Publicly discussing conversion problems
Recommended approach“Start with a personalized response to the problem rather than a generic sales pitch.”
Why isn't LinkedIn working?
LinkedIn right now: 12,400 impressions → 92 visits → 14 signups → 1 customer.

The problem isn't reach — it's resonance: click-through is below 1%, so the content reads as generic to your ICP. Name the exact problem in their words (“returns are killing margins”), not your category.

Meanwhile Reddit is producing customers 4.9× more efficiently. Rebalance this week.
Open analyticsReddit vs LinkedIn experiment
AI strategist

Answers grounded in your actual data

“What should I work on today?” “Find me 20 customers.” “Which channel should I stop using?” The strategist reads your live opportunities, prospects, funnels and experiments — and answers with specifics, not generic marketing advice.

Learning engine + ROI analytics

Learn what works, for whom, where — then measure it in customers, not impressions

The system learns
Topic: Return reduction
Format: Educational
ICP: Fashion ecommerce
Channel: LinkedIn
Result: High — 3 customers

→ Then it recommends more of exactly that.

Reddit vs LinkedIn — funnel
ChannelVisitsSignupsCustomersMRR
Reddit27114$396
LinkedIn92141$99

“Reddit currently produces customers 4.9× more efficiently. Increase activity there.”

Examples

Three products, same operating system

Atelier
AI fashion technology
Target: Online fashion retailers
“Looking for an affordable virtual try-on solution for Shopify.”
“Our clothing returns are killing margins.”
“Anyone know an AI fashion try-on tool?”

Answers the thread genuinely, mentions the product only where contextually appropriate — and waits to pitch where intent is awareness-stage.

Forge
AI developer tooling
Target: AI startups & engineering teams
“How do we reproduce AI-generated code bugs?”
“Looking for AI agent evaluation tools.”
“How do we benchmark coding agents?”

Engages in HN threads with technical depth, drafts eval-comparison content, and flags the engineering leaders discussing agent reliability.

InvoicePilot
Accounting automation (unknown SaaS)
Target: Determined independently by the platform
“Does anyone know a tool for automating invoice capture for a small firm?”
“Chasing clients for documents is eating my week.”
“Is there an alternative to hiring a bookkeeper for data entry?”

With no input beyond a description, the platform derives the ICP (small accounting firms), buyer (Firm Partner), keywords, competitors and channel plan — then starts discovery.

Pricing

Start free. Scale when distribution compounds.

Free
$0/mo

Validate the loop on one product.

  • 1 product
  • Basic intelligence
  • Limited opportunities
  • Basic strategist
Maker
$15/mo

For solo founders hunting their first 100 customers.

  • Expanded discovery
  • Intent detection
  • Opportunity scoring
  • AI content drafts
  • Basic analytics
Most popular
Growth
$39/mo

For teams running distribution as a system.

  • Multiple products
  • Prospect intelligence
  • Experiments
  • Competitor monitoring
  • Advanced analytics
Pro
$99/mo

The full distribution department, automated.

  • Advanced discovery
  • Teams
  • API access
  • Automation
  • Advanced learning
  • CRM integrations

Also supports usage-based credit packs for pay-as-you-go founders — $1 per 20 AI credits.

FAQ

Questions founders actually ask

No. Schedulers publish content. Founder Distribution OS is built around a different loop: discover people already describing your customers' problem, score their intent, recommend the exact action, help you draft it for human review, and measure which channels actually produce customers. Publishing is one small part.

You built something great.
Now go find the people who need it.

Before: “I built something great, but nobody knows about it.”
After: “I know who needs my product, where they are, why they need it, and what I should do next.”