Category brief · Apr 2026

The Demand Graph.
A new GTM category.

Wavly is a GTM runtime operating system: a Demand Graph that ingests public buying intent across 12+ open-web sources, fuses first-party product signals, and orchestrates each opportunity through human-approved replies, Signal-to-Page, and full-chain attribution to revenue. Built for RevOps and pipeline teams running Apollo-class evaluations — with Free and Indie tiers for solo builders on the same runtime.

Six pillars

What makes a system a Demand Graph.

These are the architectural commitments. Anyone shipping less than five of these is not in the category — they're a feature of the old one.

Continuous public scanning

12+ open-web sources — Reddit, Hacker News, Stack Exchange, Dev.to, Lobsters, GitHub, Indie Hackers, Product Hunt, YouTube, X, RSS, and first-party feeds — refreshed every 6 hours. The scanner never sleeps; you don't have to.

ICP-aware relevance scoring

Every candidate signal is filtered through your extracted ICP (persona, pains, anti-patterns, communities) before any human sees it. Low-relevance threads are dropped pre-LLM by deterministic hard rules — your queue is the small, high-value subset.

Per-signal landing page

When intent + relevance both clear threshold, Wavly generates a unique landing page in under 30 seconds. The page echoes the asker's exact words, lives at thewavly.com/p/<slug>, and is tracked end-to-end.

Human-in-the-loop, never blast

Scout drafts every reply and page. You approve, edit, or reject in keyboard-first review. Nothing goes public without your green light — that's how we stay welcome on every platform.

Signal-to-MRR attribution

Every reply carries a tracked link. Every page tracks views. Every signup webhook ties back to the originating signal — you see signal → reply → click → page → signup → MRR as one funnel, not five disconnected tools.

Zero contact-PII surface

We store the public post URL — not the person. No contact database, no enrichment cache, no email warming. Less compliance work, less spam risk, less brand exposure.

Paradigm shift

Old way vs Demand Graph.

Source of leads
Bought, scraped, or enriched contact list
Real-time public buying intent (people asking right now)
Who initiates contact
You — uninvited cold email or DM
They — by posting a question in a public thread
Where the conversation happens
Their inbox, against their will
The thread they chose to post in (Reddit, HN, Discourse, etc.)
Personalization
Mail-merge {firstName} on a templated sequence
Per-signal landing page — built in ~30s, echoes their language
PII you store about prospects
Millions of contact records (GDPR/CCPA exposure)
Zero — we store the public post URL, not a person
Attribution
Email open + click (proxy metrics)
Signal → reply → click → page → signup (real funnel, real $)
What happens on your own site after the click
Separate analytics — hard to tie to the thread or campaign
One snippet on your domain: visits, pricing pages, scroll, forms, drop-offs — same Graph
Brand risk
Spam complaints, deliverability burn, blacklists
Public, helpful answers — no inbox, no blast
Time to first signal
Days — buy list, dedupe, warm IPs, build sequences
~1 minute — paste your URL, runtime intake starts
Compounding
Each campaign starts from zero
Pattern engine learns which signal shapes convert for YOUR ICP
Vocabulary

Speak the category like a native.

Demand Graph
A continuously refreshed graph of public buying-intent signals across the open web.
Signal
A demand item — one public post, comment, or thread with buying intent and full provenance (canonical term: Signal).
Signal-to-Page
A unique, attribution-tracked landing page generated for one specific signal in under 30 seconds.
Intent score
A 0–100 score for how likely a signal is to convert into a paying customer.

Category pillars: GTM intelligence · RevOps intent · Revenue OS · Pipeline attribution

The category is open. Be first to ship in it.

~60-second setup. No credit card. First signals arrive within the hour of your first scan.