Internal Go-To-Market Team for 3 Month to Set Up the Basis: acquisition funnels, analytics, sharable target audience deep understanding

This proposal describes ecosystem we should do for the Gonka, including basics, go-to-market actions, the team and the budgets for the next 3 months.

What we'll do

I. Onboarding funnels for target audiences of all types mentioned in the roadmap (Track 11, Project 1). This includes hundreds of experiments with offers and landings for various types of target audiences segments and acquisition channels. SEO + GEO/AEO optimization.

Target Audience	Their Core Need	Comment
B2C inference users	cheap compute [long-term freedom]	Fast go-to-market. Partnerships with competitors to go faster
B2B inference users & aggregators	cheap compute [long-term freedom, custom model training]	Long & expensive outreach → Long-term revenue
Token Investors	upside (multiples) from holding GNK	Token buyers and mining investors are connected like communicating vessels
GPU Hosts	Long-term GPU usage + upside (multiples) from holding GNK	Our core need is to scale the network quickly as inference usage grows; also ASICs
Liquidity providers, LP funds	Passive yield
AI/ML Labs & Devs	Cheap model training or earn from model training for Gonka	Actual network usage and our long-term focus confirmation
Local Entrepreneurs & Influencers	Earn from Gonka Distribution	We need long-term focus to achieve long-term growth, not a short burst
Professional contributors or supporters	Earn from working on Gonka	Senior blockchain developers, white hackers, marketers

Where are we going to send the traffic?

Token investors traffic → to pages with aggregation of ways to buy GNK and mining pools
Inference users traffic → to working pages
Random product chose
Aggregation of all existing brokers
Unifying broker, which sends the request to 3 random brokers (whose metrics are good enough) — and return the first relevant answer, also handles situation if the requested Gonka model was unavailable
Large B2B, GPU Hosts, and all other significant → to pages with documentation, community links and suggestion to book a call

II. Marketing analytics: who, from which channel, usage funnel. We will try to cover all services in the Gonka ecosystem, including: Inference Brokers, GNK exchange, Wallets, Mining pools, and other — all who interested in traffic.

Unified analytics format — with traffic and GNK bonuses for those who'll support it
Dashboards with clear metrics, including conversion funnels, segmented by channel, offer, performer, and other relevant filters.

III. B2B & B2C bisdev — consistent and transparent work with hypotheses of target audiences, channels, offers, and formats — all collected in one place and can be easily shared with external teams

We are planning to work in separated streams trying to engage brokers owners, and other go-to-market focused entrepreneurs from the community and outside (already we've found over 10 people). The work will be organized in sprints, each sprint will have a budget that will be distributed between actors proportionally to their contribution and results.

Which ideas do we have?
What do we believe the most and why?
What are the results of our tests? Key: acquisition cost & leads quality
What are we going to scale? What should we focus on next?

IV. CRMs separately collecting B2Bs, AI-aggregators (openrouter competitors), AI-accelerators, communities for outreach, influencers — with communication details and clear statuses among them

V. Collect requirements and conduct other activities that support Gonka network development

Inference development: helping with transparency, requirements and priorities
Model training: identifying requirements and clients for the first model, we can easily train in parallel on unused GPUs in our network

VI. Competitors, how do they positioned for our target audiences, and what are they doing — research, separated by various types of target audiences

Inference users competitors: OpenAI, Anthropic, OpenRouter, Together.ai, and other
GPU-holders competitors: decentralized networks (bittensor, io.net, Aethir) and GPU clouds (Vast.ai, RunPod, TensorDock)
Investors competitors: decentralized web-3 projects (like TAO), stocks, especially semiconductors, and other types of investments
AI/ML Labs: decentralized or not networks and data centers

VII. Coordination between other performers (including external) and hosts, helping performers to understand our actual situation and requirements

VIII. Achieve ~2000 non-ru monthly paying users with average bill $200 / month

(1000-1500 instead of 2000 in the reduced version of the budget)
International focus on ~1000 paying for inference and ~1000 token investors
Key Metrics: people reached and research data collected, first successful cases we can tell in public, time to first valuable action, inference, developer activation and real network usage, community growth, market visibility, and network trust.
Long-term focus: in 9-15 months network should achieve tens of thousands H100 equivalent (openrouter-like size) with at least 30% utilization + stable growth of GNK token price.

Go-to-market actions

Action	Target Audience	Priority	3-month Goal (reference)
Communities collaboration	B2C Inference users, Token Investors	High	100+ communities coverage, 500-1000 paying per month
Influencers collaboration	B2C Inference users	High	500-1000 paying per month
Blog & SEO & GEO	B2C Inference users, B2B Inference users, Token Investors, GPU Hosts	High	5-7k monthly organic visitors, 100-200 paying per month
B2B bisdev — Viktor + Hleb	B2B Inference users, AI/ML Labs & Devs, Token Investors, B2C Inference users	High	100-500 clients engaged, 5-10 meaningful cases + requirements
B2B focused on AI aggregator listing & inference competitors outreach — Viktor + Hleb	B2B Inference users, B2C Inference users	High	100-500 clients engaged, 5-10 meaningful cases + requirements
Crypto aggregator listing coordination — Arseny	Token Investors, Liquidity providers, LP funds	High	no exact KPI, need to be done ASAP
Top inference users behaviour and requirements research — Viktor	B2B Inference users, B2C Inference users	High	acceleration for all activities
Reddit presence — Arseny	B2C Inference users, B2B Inference users, GPU Hosts	High	300-500 paying per month, 500k+ unique users impressions
Social marketing on X — Arseny	B2C Inference users, Token Investors, GPU Hosts	Medium	100-200 paying per month
Product Hunt launch with "Cheap AI product"	B2C Inference users, Token Investors	Medium	1-3 launches per 3 months
Content creators campaign	B2C Inference users, B2B Inference users, GPU Hosts	Medium	5-10 members ambassador team with KPI
Paid Traffic Test	B2C Inference users	Medium	100-200 paying per month
KOLs round	Token Investors, B2C Inference users	Low	—
AI startup accelerators & founders partnerships	B2B Inference users, B2C Inference users, Token Investors	Low	5-10 partnerships

We'll start from analytics, accurate experiments and process setup — and then scale.

1st month we will be focused on onboarding funnels, pSEO/GEO website and analytics setup, initial communities and influencers testing, strategy. Then acquisition channels and formats.

Reporting: - Every two weeks awards distribution between participants depending their contribution and cumulative results + AMAs with us - Data on dashboards + what the creators of Gonka services see (somehow to encourage them to report)

The Team

Top persons, responsible for the results — C-Level Executives, investing in Gonka since November 2025.

Viktor Katsman — details: LinkedIn
PhD in AI Technologies for Education; finished California Founder University program for early-stage startup founders
Have extensive experience both:
- as a product, analyst and AI developer in big corporations like Yandex
- as an early-stage startup founder, acting as CEO, CPO, CTO, CMO, and CBDO
Best achievement: led ML eComm to result as $34M in year revenue growth
Created the first version of go-to-market strategy in May, and was responsible for the Marketing track in the applied roadmap, leads The Soul and other external performers.
Arseny Myakotnikov — details: LinkedIn
10+ years in marketing, 7+ in web3, in crypto since early 2017; currently CMO at venture studio dome.net, launching web3 and B2B SaaS products
Owned full-cycle marketing as CMO for dozens of fintech, web3 and AI products 2.1. building and executing GTM strategies across paid traffic, influence, PR, content marketing, SEO/GEO, community building, partnerships & co-marketing, token launches / TGE, funnel analytics and product marketing 2.2. founder experience: builds products 0 to 1 and drives early audience — launched own InfoFi product (2k MAU) and Jeet Trade, a Solana trading platform with $3M+ volume and 600+ users
Best achievement: attracting $300M+ AUM for a DeFi hedge-fund, scaling from ~1K to 15K+ active users
Hleb Dapkiunas — actively bisdevs startups, one of his posts with the requirements he found was mentioned as useful by Vadim Krutov, COO Bitfury — link. (To join the group "Gonka_Use Cases" to see the comment use this invite)

Last 2 month we are actively participating in go-to-market activities. Top-3 samples: 1. Viktor Katsman created the first version of go-to-market strategy in May, and was responsible for the Marketing track in the applied roadmap, leads The Soul and other external performers. 2. Hleb Dapkiunas actively bisdevs startups, one of his posts with the requirements he found was mentioned as useful by Vadim Krutov, COO Bitfury. 3. Viktor Katsman actively bisdevs startups and have already made the meaningful case — Integrity added Gonka models as "Powerful models at a fraction of the price" in Beta stage for all users.

Cost + Budget

600K GNK (180K in day 0 + 130K GNK in day 30 + 130K GNK in day 60 + 160K GNK in day 90) — our bonus. The team size is 8-15 people, some tasks will be delegated for external agencies, ready for long-term partnership relations. Rewards are estimated based on market salary benchmarks and converted into GNK at the actual exchange rate at June 20.
This bonus shouldn't be downgraded if our work will be continued (by another proposal after 3 months). We should be motivated to increase GNK-price the long-term. If it grows, then our bonus grows. If it falls — our bonus falls.
36K USDT (12K USDT / month) for bounties and external services expenses and operations. The cost breakdown will be transparent and open.

Monthly GNK Allocation

Direction	Budget per month	Were (in 280K GNK version)	Key executives
Analytics	30K GNK	30K GNK	Viktor
pSEO + AEO	30K GNK	30K GNK	Arseny + Vlad
B2B Focused on Significant Inference Sellers and Users + Investors involved	50K GNK	60K GNK	Viktor + Brokers (Hleb, ...) + Bisdevs (Dmitry, ...)
B2C focused on Agents users, AI Startup founders and Indie Devs (including communities & influencers partnerships)	40K GNK	50K GNK	Viktor + Brokers (Alex, ...) + Yan
Local Conferences (excluded from B2B + B2C for clarity)	10K GNK	0K GNK	Yan
Reddit Posts + Subreddit	20K GNK	30K GNK	Arseny
Communities Collaborations	20K GNK	30K GNK	Arseny
Influencers Collaborations (left for The Soul except micro-influencer's experiments included in B2C)	0K GNK	30K GNK	Arseny
Paid traffic activities (left for the future)	0K GNK	10K GNK	Viktor
Product Hunt launches (left for the future)	0K GNK	10K GNK	Viktor
Total	200K GNK	280K GNK

This illustrates general focuses of our work. In the beginning, spends will be less, then higher. Budgets can be redistributed into more promising areas, which we will see as we go along. Our bonuses and additional bonuses for various people in the team and community members are distributed between these directions.

Monthly USDT Budget

Direction	Budget per month	Were	Key executives
Paid traffic small-cost experiments in Google Search for inference users (based on our competitors aka OpenRouter users data)	0K USDT	5K USDT	—
Social Activities External Supporters	3K USDT	3K USDT	Arseny
Influencers, Communities, Conferences Partnerships in B2B / B2C	4K USDT	10K USDT	Viktor
AI and other tools, infrastructure, development, emails, linked-in, external agencies	5K USDT	—	Viktor + Arseny
Total	12K USDT	18K USDT

USDT budget covers: 1. Micro-influencer fees and portals working with them (typically paid around $15-30 per video + bonuses if successful or generates a lot of leads) 2. Partnerships with target communities. Barter is preferred, but sometimes USD is required; partnerships may cost $50-$500. Includes Product Hunt launch + AI product listings. 3. Referrals of useful people and clients. 4. Development activities, infrastructure, AI and other tools. 5. Conferences and business trips, where we can easily present Gonka. 6. External agencies (uForce — experienced agency in AI-driven influencers research; rizzult.ai for influencers and B2B; adstail.com — vkatsman has direct connections with founders; fusionmedia.fund — their barter-driven offer).

Up to 150K USD — external teams and/or scaling of successful initiatives.

Actual cost = 600K GNK + 36K USDT