AI / Gaming / DePIN
iAgent
Positioning, regional community, and creator campaigns supported a node sale in a difficult market.
4,949Nodes sold
742 ETH raised · 175,000 X followers
Surgence / Growth practice
AI & agent platforms.
From demo to adoption.
Help builders understand what your platform makes possible, try it, and ship with it. Connect technical positioning, community programs, and integration launches to real usage.
AI ecosystem growth in practice
All client workThe growth mandate
What needs to move?
Choose your priority. See the work, channels, and measures behind it.
The objective / 01
Turn technical interest into working agents.
Reach developers and researchers with demos, documentation-led campaigns, and contributor programs. Show the path from exploring the platform to shipping a useful application.
Measured by
Active builders · Agents deployed · Contributor activity
The work behind it
- Builder Discord and GitHub engagement programs
- Hugging Face and ML-research community outreach
- Agent-leaderboard and mindshare campaigns
- Regional and language-localized community ops
- Developer ambassador and contributor programs
- Founder thought-leadership and Spaces booking
The objective / 02
Make the token’s role understandable.
Explain what the token pays for, secures, or coordinates. Connect that utility to launch communications, research coverage, and the platform’s actual usage.
Measured by
Utility engagement · Active holders · Platform participation
The work behind it
- Token-utility narrative
- Pre-TGE mindshare and leaderboard programs
- Listing strategy across CEXs, DEXs, and aggregators
- Holder retention by cohort and chain
- Analyst-desk and research-house coverage
- Treasury and market-maker introductions
The objective / 03
Give every integration a route to users.
Coordinate partner launches, developer tooling, and marketplace discovery. Demonstrate the new capability and follow the builders who use it after launch.
Measured by
Live integrations · Referred builders · Agent activity
The work behind it
- Integration roadmap with Solana, Base, Arbitrum, BNB, XRPL, and Hyperliquid
- dApp, wallet, and data-network partnership BD
- Co-marketing playbooks for each integration launch
- Agent-marketplace listing and discoverability programs
- SDK and developer-tooling launch campaigns
- Cross-platform agent showcase content
The objective / 04
Keep builders contributing after launch.
Use grants, bounties, technical communities, and partner programs to sustain participation. Track which cohorts return and where they need more support.
Measured by
Returning builders · Retained integrations · Active contributors
The work behind it
- Discord, Telegram, and Farcaster ecosystem ops
- Validator, operator, and contributor governance flows
- Agent-builder grants and bounty programs
- Sentiment monitoring and crisis response
- Cross-protocol community partnership programs
Platform fit
Different capabilities.
Different paths to usage.
An inference network needs workloads. An agent framework needs builders. Your product, users, and utility shape the growth plan.
01
Agent products
- Agent frameworks
- Agent marketplaces
- Multi-agent orchestration
- Agent-powered DeFi
- AI trading agents
02
Compute networks
- Decentralized AI networks
- Inference networks
- AI-DePIN compute
03
Data & models
- Training data DAOs
- Model marketplaces
- AI oracles
04
Verifiable AI
- ZKML platforms
- TEE-secured AI
- Verifiable compute
Working together
From diagnosis
to distribution.
One team coordinates positioning, builder distribution, and integration campaigns. Reviews connect the marketing work to platform and agent activity.
Inside the GTM program- 01
Week 1 to 2
Discovery & Audit
Deep audit on your platform: builder activity, agents deployed, token-utility narrative, mindshare footprint, integration map, GitHub and Hugging Face health, analyst coverage, and competitor benchmarking. You receive a dated growth-gap report with the top three levers ranked by expected impact.
DeliverablePlatform adoption and positioning audit
- 02
Week 2 to 4
Strategy & GTM Design
Custom GTM playbook covering token-utility narrative, channel mix across builder/trader/researcher tracks, integration roadmap, leaderboard strategy, and quarterly KPI framework. Your team owns the playbook; we own the execution.
DeliverableBuilder and integration GTM roadmap
- 03
Week 4 onwards
Execution & Distribution
40+ specialists run the system in parallel. Builder programs activate, leaderboard pushes launch, integrations ship as co-marketing events, analyst desks brief, and technical content lands. One Slack channel, one weekly stand-up, one roadmap.
DeliverableCoordinated platform launch programs
- 04
Ongoing
Optimization & Scaling
Weekly tracking on builders, agents, integrations, holders, mindshare, and inference / on-chain volume. Underperforming channels get cut. Winning loops get scaled. Monthly board-ready reporting for token holders and investors.
DeliverableBuilder and platform activity report
From the client side
“Few partners match their speed, commitment, and execution quality. They consistently bring fresh perspective and follow through.”
Before we begin.
The practical details, from scope to measurement.
What kinds of AI & agent platforms do you work with?
Decentralized AI networks, agent frameworks, agent marketplaces, inference networks, training-data DAOs, ZKML and TEE platforms, AI-DePIN compute, AI oracles, verifiable compute, agent-powered DeFi, and multi-agent orchestration.
How is marketing an AI platform different from marketing a regular protocol?
You serve three audiences at once: builders, ML researchers, and traders. The wedge has to read on Hugging Face and on Kaito at the same time. Token demand has to be defensible against pure-narrative competitors, which means utility comes first.
Can you actually move token demand, or just impressions?
We engineer demand from utility: token-secured inference, fee burn, staking flows, governance over data, and agent-reward routing. We pair the design narrative with analyst, KOL, and earned-PR distribution so the next buyer can defend the demand.
Do you handle Kaito mindshare and pre-TGE leaderboard pushes?
Yes. We run mindshare programs end-to-end: content cadence, KOL alignment, narrative architecture, analyst engagement. We've supported a Kaito #1 mindshare push in an adjacent vertical.
How do you handle integration launches?
Each integration is a co-marketing event with a deliverable list (joint blog, X spaces, demo video, post-launch retention sequence) and a measurement plan tied to wallet activity, agent calls, or builder sign-ups on the partner platform.
How long until we see results?
Builder and mindshare signal in 30 to 45 days. Integration-launch impact in 60 to 120 days. Token-demand and listing cycles run 60 to 180 days. Sustainable retention compounds over quarters. We share weekly KPI reporting from week one.
Which channels actually drive AI-platform growth right now?
Builder Discord and GitHub engagement, Hugging Face presence, Kaito and Polymarket mindshare, agent-leaderboard meta, X technical content, Farcaster, dev-influencer outreach, analyst-desk and research-house coverage, conference keynotes, and integration launches.
How do you measure ROI?
Active builders, agents deployed, inference / on-chain activity, token-holder cohorts, staked supply, integration launches, GitHub stars, and mindshare. Monthly reporting is structured so that token holders, investors, and the foundation can all defend the spend.
Your next growth cycle
Let’s find your
next move.
Bring your platform, developer journey, and next integration. We’ll work through the audiences and use cases that can drive adoption.