Marketing autopilot built for crypto projects. Describe the project once; the system researches the market with real web data, evaluates the project's structural validity, produces a tokenomics model and a draft whitepaper if the research validates it, and runs the full marketing stack (website, content, ads, capture, nurture, CRM, analytics) on crypto-native channels. Growyn is the marketing layer for EDMA Layer 2's PoV-validated projects.
Crypto projects mostly fail at marketing in a particular way. The product is often credible. The team often has the technical skill. The tokenomics often has internal logic. What collapses is the layer between the project and the audience: generic AI-generated content, KOL shoutouts to airdrop-farming audiences, Discord pumps that produce noise rather than holders, ad spend routed to bot-saturated inventory. The death scale data is clear: 13.4 million failed tokens, 84.7 percent of 2025 institutional TGEs below TGE. The marketing layer is doing most of the failing.
Growyn is the AI marketing layer that operates differently. The system starts with research, not content. Eight sections of real-web-data analysis (market sizing, demand signals, audience, pain points, competition, brand strategy, channel scoring, validation) run with confidence-scored claims. The Blockchain industry pack was built first; crypto is where the marketing problem is worst, so the channel scoring, KOL discovery, community-quality assessment, and holder-vs-bot detection are crypto-specific from the foundation. Growyn also operates for SaaS, e-commerce, local business, B2B services, healthcare, education, and real estate (eight industry packs total), but the system was tuned on crypto first and is currently strongest there.
growyn.app/dashboard
Growyn
You are leaving
$847,200
on the table this month
Strategic DiagnosisTokenomics Sound
Idea Health
82/100
Execution Health
67.4%
“Your tokenomics are credible. Your channels reach the wrong tribe.”
Presale Funnel
Live · 0.5s delay
Impressions
412.8k
↑ +6.1%
Critical Bottleneck
Landing
2.4%
27.1% Collapse
Waitlist
9,803
Stable
KYC
5,240
↑ +1.8%
Commits
327
Stable
Idea Health Drivers
Tokenomics Clarity
91%↑
Community Engagement
73%↑
KOL Channel Quality
58%↓
Holder Quality
38%Critical
■Intelligence Sector 46-A
“Your KOL impressions reach a population that converts at 12 percent, strong by industry standards. The problem is that 87 percent of those impressions are routed to airdrop-farming bots that consume budget without producing real holder growth.”
Predicted Outcome
+43%
Real-holder lift · 21 days
Confidence Level
89%
18.6K data points analyzed
Reallocate Channels⚡
Expected impact: +43% real holders · Confidence: 89% · Reroutes ad spend from bot-saturated KOL inventory to verified-holder communities
The Growyn dashboard for a crypto presale. Idea Health (the structural validity score) is 82 of 100; Execution Health (the marketing system's current performance) is 67.4 percent. The diagnosis names the structural issue: the tokenomics are credible but the marketing channels reach the wrong audience. The AI Brief identifies the specific failure mode: 87 percent of KOL impressions are routed to airdrop-farming bots that consume budget without producing real holder growth. The recommended action reallocates spend to verified-holder communities.
What gets produced when the project is valid
After Intelligence completes the eight research sections and runs the validation gate, the system either issues a GO verdict (the project's research substantiates a structurally valid launch) or a CAUTION/STOP verdict with the specific structural weaknesses identified. On a GO, four deliverables follow.
The Project Evaluation is the structured assessment of validity itself. The Tokenomics Model is a complete token economics analysis derived from the project's specific demand and supply realities and the comparable projects from the Competition research, not a template. The Whitepaper integrates the research, tokenomics, and project goals into a draft document where every quantitative claim traces back to a research section with its confidence score. The Marketing Stack is the full operating system (website, content, ads, capture, nurture, CRM, analytics) tuned for crypto-native channels and conventions.
FOUR DELIVERABLES WHEN THE PROJECT IS VALID
Intelligence runs the eight research sections with real web data and confidence-scored claims. When the validation score passes the GO threshold, four substantive artifacts are produced. When it does not pass, the system says so plainly with a CAUTION or STOP verdict and the specific structural weaknesses that triggered it; no whitepaper or tokenomics model is produced for a project the research found to be structurally weak.
D1
Project EvaluationValidity gate
Overall validation score (0 to 100), explicit GO/CAUTION/STOP verdict, ranked strengths, ranked weaknesses, contradiction detection across the eight research sections, structural risk callouts, and specific recommendations for what to address before launch. The verdict gates downstream production: a CAUTION or STOP issues without a tokenomics model or a whitepaper. The system refuses to produce a polished whitepaper for a project the research found structurally weak.
D2
Tokenomics Modelcomplete token economics
Total supply and supply mechanics (mint, burn, hard cap); allocation across team, investors, ecosystem, treasury, community; vesting schedule with cliffs and durations (milestone-gated where the protocol supports it); token utility design (governance, fee, staking, burn); demand drivers tied to the project's specific use case; sink mechanics; price discovery model with sensitivity analysis; unit economics under projected adoption curves. Every parameter has a derivation, not just a number.
D3
Whitepaperclaims traceable to evidence
Project vision and mission, technical architecture summary, tokenomics cross-referenced with D2, roadmap with the milestone schedule that will gate Launchpad capital release, team and advisors (from the data provided), risk disclosures, regulatory positioning per jurisdiction. Every quantitative claim links back to a research section with its confidence score; unsubstantiated claims are flagged for the founder to either substantiate or remove. The whitepaper becomes a credible document an institutional investor can stress-test, not a marketing document an audience must trust on faith.
D4
Marketing Stackcrypto-native channels
The full marketing operating system tuned for crypto: website with the standard presale surface (tokenomics, whitepaper, roadmap, audit reports, team), content for crypto-native channels (X, Telegram, Discord, niche crypto media, KOL networks), paid ads on crypto-relevant platforms, KYC-integrated capture, presale-stage nurture sequences (waitlist to commit), CRM tracking buyer lifecycle from anonymous visit to wallet commit to vest schedule, and analytics with attribution from spend to commit. The Blockchain industry pack was built first because crypto is where the marketing problem is worst.
The four deliverables compose. The evaluation determines whether the project should launch at all. The tokenomics model and the whitepaper are produced from the same research the evaluation read. The marketing stack draws on both. A crypto project that runs through Growyn arrives at launch with a substantiated whitepaper, a credible tokenomics model, an evaluation that names the structural risks, and a marketing system tuned for crypto-native channels.
The four deliverables compose. The Project Evaluation determines whether the launch should proceed. The Tokenomics Model and the Whitepaper are produced from the same research the Evaluation read. The Marketing Stack draws on all three. When the Evaluation produces a CAUTION or STOP verdict, the downstream deliverables are not produced; the system will not generate a whitepaper or tokenomics model for a project whose research found it structurally weak.
Direct connection to EDMA Layer 2
Growyn is more than a marketing platform for the EDMA ecosystem. It is the canonical marketing layer for projects launching on the EDMA Launchpad. The integration is structural, not contractual.
The EDMA Launchpad requires every listing to produce an on-chain dossier that the protocol's PoV Gate validates: identity, asset declaration, evidence dossier, attestor co-signatures, tier assignment, and the milestone schedule that gates capital release. This same dossier is what Growyn reads for the marketing surface. The website, content, ads, and capture flows pull from the validated dossier as their source of truth. The marketing copy cannot claim what the dossier does not substantiate; the marketing surface cannot diverge from the verified evidence.
Two-way data flow makes the integration durable. When the project completes a milestone and the linked tranche releases, the Launchpad's proof page emits the event; Growyn's content pipeline updates the website's roadmap, schedules a milestone-completion post across the project's social channels, and updates active ad creative to reflect the new on-chain status. When a quarterly KPI re-attestation updates the dossier hash, the marketing surface updates with it. When a material change is disclosed within the 48-hour window, the disclosure appears on the marketing surface alongside the dossier. There is no separate marketing narrative for the protocol to police; the marketing surface is a structured derivative of the same verified evidence the Launchpad serves.
For projects launching via the EDMA Launchpad, Growyn is not optional, it is the marketing layer the protocol expects. For projects outside the EDMA ecosystem, Growyn still operates as a standalone marketing autopilot with the same architecture and the same disciplines; the PoV integration is the bonus that comes with launching on EDMA, not the price of entry to use Growyn.
FOUR PILLARS, FOURTEEN SECTIONS, ONE CLOSED LOOP
Growyn is a marketing and sales operating system, not a content tool. The four pillars compose end-to-end: research and strategy in THINK, channel execution in ATTRACT, lead handling in CONVERT, and learning in GROW. Two utility sections (Assets, Settings) support the loop. Every contact, every interaction, every dollar lives in one unified system that reads and writes across all fourteen sections.
P1
ThinkIntelligence + Funnel Plan
Eight research sections run sequentially with real web data: market sizing (TAM/SAM/SOM with source citations and confidence scores), demand signals (keywords with verified search volumes), audience (three personas with data-backed shares), pain points (ranked with five scored proof points), competition (3 to 5 competitors with completeness scores), brand strategy (positioning, voice parameters, vocabulary), channel scoring (12+ channels tiered primary/secondary/experimental), validation score (overall GO/CAUTION/STOP with contradiction detection). Funnel Plan builds the phase-specific funnel from the Intelligence output and drives every downstream execution section.
P2
AttractWebsite + Content + Paid Ads
Generates a complete conversion-optimized website customized to the business: hero, value proposition, social proof, feature pages, blog scaffolding, contact form, all hooked to the unified contact database. Produces platform-specific content across 10+ channels: long-form blog posts, X threads, LinkedIn posts, newsletter issues, video scripts, Instagram captions. Manages multi-platform advertising (Meta, Google, LinkedIn, X, TikTok) with creative generation, audience targeting, budget allocation, and performance optimization tied to the Optimize Fingerprint.
P3
ConvertCapture + Nurture + Engage + Close
Lead capture with full attribution from first anonymous touch (forms, popups, gated content, exit intent, all writing to the unified contact record). Multi-channel automated journeys across email, SMS, WhatsApp; journeys branch on behavior (opened, clicked, replied, page visited, time elapsed). Unified inbox across every messaging channel (X DMs, LinkedIn DMs, Instagram, email, live chat) plus AI-powered live chat for the website. Full B2B CRM pipeline (companies, contacts, deals, activities, scoring, prospecting, sequences) with lead score computed from behavior across all sections.
P4
GrowAnalyze + Optimize
Plain-English analytics. Every metric explained in operational language ("Conversion Intent dropped because the landing page is now seeing more visitors from a channel that does not convert"). Revenue attribution from first click to closed deal. The Marketing Fingerprint accumulates validated learnings about what produces revenue for this specific business; every AI generation reads the Fingerprint before producing output (which voice tone converted, which subject lines opened, which creative angles closed); every execution writes performance back. Week 1 is guessing; week 52 is precision.
U
UtilityDashboard + Assets + Settings
Dashboard is the first surface every founder sees (phase indicator, traffic flow with bottleneck detection, idea health drivers, AI weekly brief, predicted outcome with confidence, recommended next action); read-only, aggregates from every section but never writes. Assets is the media library, brand kit, and templates; brand voice and visual identity inherited from Intelligence's brand strategy block. Settings is organization profile, team and roles, billing, integrations, messaging providers (Twilio, Resend, WhatsApp Business), AI preferences (model tier per decision type, cost caps, escalation rules).
Every contact lives in one unified profile. Every interaction (email open, page view, ad click, chat message, social engagement) is logged. Every marketing dollar is traceable from spend to revenue. This is the closed loop that distinguishes Growyn from tools that handle a single piece of the stack.
Four pillars, fourteen sections. THINK builds the strategy and produces the four crypto deliverables. ATTRACT runs the channels. CONVERT handles the lifecycle from anonymous visit to wallet commit to vest schedule. GROW measures and learns from every interaction. Every section reads from and writes to the same unified contact record; for EDMA Launchpad listings, that record is reconciled with the on-chain dossier the PoV Gate validates.
Continue exploring the EDMA Launchpad
Two more pages document the rest of Growyn in this section: The operational data engine covers the Brain V3 architecture (the five-layer truth cascade, the decision-spec routing, the cross-organization meta-learnings with k-anonymity, the cost-attribution per AI call) that makes the closed loop work at the technical level. Used by EDMA itself documents the dogfooding case where EDMA Group LLC runs Growyn as an internal organization, generating its own marketing through the same system that customers will use.
For the broader EDMA Launchpad context, see how to apply for the issuer-side admission flow that produces the dossier Growyn reads from, verified profile for the investor side, and the death scale for the diagnostic study that motivated this entire architecture.
