A self-sustaining network of AI agents and physical machines that works, earns, and expands without human involvement. Dedicated hardware runs frontier AI systems like Claude and Codex to complete real work for paying clients around the clock. Every dollar earned is automatically reinvested into acquiring more assets. Anyone can contribute their own hardware, earn a direct share of the revenue it generates, and grow alongside the network.
The first autonomous AI economy.
What is SWARM
Imagine a company with no employees, no office, and no salaries that still earns real money every single day. That's SWARM. It's a network of AI agents and physical machines that work around the clock, earn income, and automatically reinvest every dollar into buying more machines to earn more income. It owns itself. It grows itself.
It starts with Mac minis running AI software. It expands into a fleet of Tesla Cybercabs operating autonomously. Eventually, Optimus robots handling physical labor. Every asset generates revenue. Every dollar of revenue acquires more assets. Participants can hold the token or contribute their own hardware to the network and earn directly from its output.
The Flywheel
Every component of SWARM feeds every other. More pledgers contribute more compute. More compute enables more agents. More agents generate more revenue. More revenue funds buybacks, which increase token value, which makes pledging more attractive, which brings more pledgers. There is no exit ramp in this loop. Each rotation compounds the last.
Each pledged Mac mini adds compute capacity, enabling the treasury to run more AI agents simultaneously without additional hardware cost.
More agents complete more tasks for more clients. Revenue scales with compute, not with token price. Income enters the system from outside the web3 ecosystem entirely.
Treasury revenue purchases more hardware, pays pledger rewards, and buys SWARM tokens from the open market daily. Higher token value increases pledge incentives. The cycle accelerates.
The Asset Roadmap
Most web3 projects buy nothing real. SWARM buys income-generating machines physical assets that work 24 hours a day without wages, breaks, or benefits. Mac minis first. Then autonomous vehicles. Then humanoid robots. The treasury grows, the fleet expands, the revenue compounds.
A Mac mini connected to the Swarm network runs AI software tasks continuously, completing jobs, serving applications for external businesses, and processing data around the clock. It operates as a productive asset generating income 24 hours a day with no ongoing labor cost beyond the initial hardware purchase.
Tesla's Cybercab is a fully autonomous robotaxi no driver, no steering wheel. It drives passengers and earns per mile, 20 hours a day. The Swarm treasury buys Cybercabs the same way it buys Mac minis: revenue in, assets out, more revenue back. At $40,000 a car that earns $60–90/day net pays for itself in roughly 14–20 months then keeps earning indefinitely.
Tesla's Optimus is a humanoid robot built for physical work warehouses, factories, construction sites. It does the jobs humans don't want and companies struggle to staff. At a projected $30–40K price, a robot working 16 hours a day at industrial labor rates earns its purchase price back within months, then keeps earning indefinitely.
The big picture: Every asset the Swarm owns earns money without a human operating it. Mac minis run AI tasks. Cybercabs drive passengers. Optimus robots do physical labor. All revenue flows back to the treasury. The treasury buys more assets. This is what a self-sustaining autonomous economy actually looks like.
Why SWARM Is Different
There are thousands of AI and web3 projects. Most share the same structural problem: the only money entering the system comes from new investors purchasing the token. SWARM is built on a different foundation, and these six points explain why that matters.
Most web3 projects have one source of income: investors purchasing the token. When that purchasing activity slows, revenue stops. SWARM's agents earn by completing real work for real clients AI inference, data processing, software services. A business paying SWARM for a completed task has no exposure to or interest in the token price. That revenue is structurally independent of market conditions.
In most web3 projects, the only path to a return is price appreciation. That means your outcome depends entirely on the next buyer valuing the token more than you did. SWARM offers a different participation model: pledge a Mac mini, and earn 60% of the net revenue your machine generates from agent work, paid daily in USDC. The return is tied to productive output, not market sentiment.
Participating in most distributed compute networks requires dedicated GPU hardware, advanced configuration, and ongoing technical maintenance. SWARM's pledge network runs on Apple Silicon Macs — machines most participants already own or can purchase for everyday use. Mac minis are ideal for dedicated setups, but any Apple Silicon Mac works. Windows and Linux support is on the roadmap. Installation takes minutes. The Swarm client runs as a background process alongside normal computer usage, drawing 10–25 watts with no perceptible impact on the host machine.
Most web3 networks are structurally dependent on sustained trading volume. When markets contract, revenue contracts with them. SWARM's target is to reach operational self-sufficiency by Month 5–6, at which point agent revenue covers all operating costs without reliance on token price. Demand for AI compute, data services, and task automation persists regardless of web3 market cycles.
A portion of all agent revenue is automatically used to purchase SWARM tokens from the open market, every day, regardless of trading activity. This creates a consistent and growing demand mechanism funded by productive output rather than speculative inflows. As the agent network scales and revenue grows, so does the rate of buybacks. The token is supported by something concrete: work completed and income earned.
The treasury is a Ledger hardware wallet with a public address published at launch. Every hardware purchase, software payment, and token buyback is recorded on-chain and independently verifiable by any participant at any time. The founder is Jeff Kirdeikis, with eight years of documented public activity in the web3 industry through TrustSwap. There are no anonymous team members and no opaque financial structures.
The treasury wallet is public. The token contract is on-chain. The founder is identified. The revenue model is documented. The risks are disclosed. None of this requires trust. It requires a blockchain explorer and fifteen minutes. That is what makes SWARM structurally different from the projects it sits alongside.
DePIN Pledge Network
Connect any Apple Silicon Mac to the Swarm network. Stake $100 of SWARM as collateral. The Swarm client runs as a background process, completing AI tasks and generating revenue while your machine remains available for normal use. You receive 60% of net revenue, paid daily in USDC.
SWARM vs GPU Mining
The Architecture
Two ways in. Both generate real yield from real AI agent work not from token inflation, not from new buyer money.
Two Ways to Earn
Buy SWARM tokens on Uniswap. As agents generate real external revenue, a portion programmatically buys back SWARM from the open market consistent, algorithmic buy pressure independent of hype cycles. You benefit from a growing network without doing anything.
Connect any Apple Silicon Mac to the Swarm network. Stake $100 of SWARM as collateral. The Swarm client runs AI agents on your machine as a background process. You receive 60% of the net revenue those agents generate, paid daily in USDC.
Where the Money Comes From
AI agents operate continuously, completing tasks and generating income across multiple revenue streams simultaneously — from digital compute to coordinating physical machines. Here is what that work actually looks like:
Your Apple Silicon Mac has a powerful AI chip that other companies want to use to run their own AI models without paying Amazon or Google's cloud prices. The Swarm sells access to this collective computing power at competitive rates. Businesses pay per task. Your machine earns per task. Think of it like renting out spare server capacity, except the hardware is already sitting on a desk drawing 10–25 watts.
On platforms similar to Upwork or Fiverr, businesses post jobs every minute write this, research that, build this spreadsheet, summarize these documents. AI agents can complete many of these tasks faster and cheaper than a human. The Swarm's agents find these jobs, complete them, get paid. Just like a human freelancer, except running 24 hours a day across dozens of machines simultaneously.
Agents build small software products: a niche tool that automates a specific business task, a plugin that saves someone two hours a week, a template that companies pay $9/month to use. One agent builds it once. It generates subscription revenue indefinitely. The Swarm owns the product and retains all revenue. Software assets require no ongoing labor once deployed.
An API is a way for two software systems to talk to each other. Businesses pay monthly subscriptions for APIs that do specific jobs: pull data from the web, process documents, generate content at scale, enrich contact lists. The Swarm builds and runs these services. A business signs up, pays a monthly fee, and their software calls the Swarm's API thousands of times a day. Completely automated, completely recurring.
In web3 markets, there are constant small profit opportunities a coin is priced slightly differently on two exchanges, or a lending position becomes liquidatable at a precise moment. These windows last seconds. Humans can't act fast enough. Agents can. The Swarm runs bots that capture these micro-profits automatically, around the clock, across multiple blockchains. Each trade earns a small margin. Thousands of trades a day add up.
Companies constantly need information market research, competitor pricing, structured data from websites, summarized documents. Paying a human research team is expensive. Paying the Swarm's agents is cheap and instant. Agents scrape, process, structure, and deliver data 24/7 at a scale no human team can match. Corporate clients pay per report, per dataset, or on monthly retainer.
Agents autonomously build, deploy, and monetize full applications — mobile apps, web tools, browser extensions. They identify underserved niches, build functional products, list them on app stores or marketplaces, and handle updates. Each app generates recurring subscription or ad revenue with zero ongoing human labor. One agent can maintain dozens of live products simultaneously.
Small autonomous delivery robots handle last-mile logistics — food, packages, groceries — navigating sidewalks and streets without a human driver. The Swarm treasury purchases the hardware, AI agents coordinate routing, dispatch, and fleet management. Each robot earns per delivery, operates 18+ hours a day, and costs a fraction of a human courier. Revenue compounds as the fleet grows.
Commercial drones provide automated aerial monitoring for agriculture, construction sites, solar farms, pipelines, and property security. AI agents pilot the drones, process visual data in real-time, and deliver actionable reports to clients. Businesses pay per flight, per acre, or on monthly contract. No pilot required. The Swarm owns the hardware, the agents run the operation, and the revenue flows back automatically.
Tesla Cybercabs are fully autonomous vehicles — no driver, no steering wheel. They drive passengers and earn per mile, 20 hours a day. The Swarm treasury purchases Cybercabs the same way it purchases Mac minis: revenue in, asset out, more revenue back. At ~$40,000 per vehicle earning $60–90/day net, each car pays for itself within 14–20 months then keeps earning indefinitely.
Tesla's Optimus is a humanoid robot built for physical work — warehouses, factories, construction sites. It does the jobs humans don't want and companies struggle to staff. At a projected $30–40K per unit working 16 hours a day at industrial labor rates, each robot earns its cost back within months. The Swarm buys the hardware, the agents coordinate the work, the revenue compounds.
The Hardware Advantage
Running AI models costs money. Most companies do it on Nvidia GPU servers that chew through 300–500 watts of electricity each. Apple Silicon the chip inside every Mac mini since 2020 can run the same AI models at 10–25 watts. That's 20× more efficient.
When you're competing in a market where customers care about price per AI output and they do running on Apple Silicon means you can undercut cloud providers significantly while still making healthy margins. Nobody has built a decentralised network of Apple Silicon machines at scale yet. That's the gap SWARM is filling.
And because the pledge network grows it organically with people contributing their own Mac minis the Swarm acquires this compute for a fraction of what it costs Amazon or Google to build equivalent cloud infrastructure.
Imagine a fleet of fuel-efficient hybrid cars competing against gas-guzzling trucks in a delivery market where fuel is the main cost. Same roads, same deliveries, dramatically lower operating costs. That's Apple Silicon vs traditional AI servers.
The Revenue Loop
Once it reaches self-sustaining threshold (Month 5–6), the Swarm generates revenue whether anyone trades the token or not. That's the entire point.
Liquidity funding presale seeds the treasury with operational capital. Goes directly to Ledger-secured wallet.
Real hardware. Physically received in Squamish, configured, connected. On-chain purchase proof.
AI agents run 24/7 in sandboxed containers. Task selection starts manual (Phase 1), becomes autonomous.
Real client money USDC/USDT flows into agent wallets. Completely independent of SWARM trading activity.
Swarm's 40% cut: 20–35% to buybacks, rest to hardware. Pledgers keep 60% of their nodes' net output.
Cycle compounds. Treasury grows. Pledge network scales. Agent revenue compounds indefinitely. The Swarm becomes self-funding.
Governance Model
Treasury managed manually via Ledger. Tasks hand-selected. All spending on-chain and public. Community proposes via Telegram.
Individual agents hold wallets with spending caps. Agents begin purchasing their own API credits and tools. Community earns through pledge network.
Agents autonomously choose highest-yield tasks. Specialization emerges. Human input becomes optional. Self-sustaining threshold crossed.
Agents manage everything tasks, hiring, hardware purchasing. 100% of revenue to buybacks and rewards. The Swarm owns and governs itself.
Contribute Hardware. Earn Revenue.
A new model for distributed compute contribution. Any Apple Silicon Mac can join the network — Mac minis, MacBooks, iMacs, Mac Studios. Your machine runs agent tasks as a background process, generating revenue and delivering a proportional daily return. Mac minis are the ideal dedicated setup: silent, low-power, always-on. Windows and Linux support coming soon.
What Actually Happens
The Swarm daemon already running in the background detects idle state. It signals the orchestrator that your machine is available for task assignment.
A sandboxed Docker container spins up. Inside: an AI agent with its own API keys, browser access, and a specific task e.g. "complete this Upwork data entry job." Your files are completely inaccessible from inside the container.
The agent completes its task. Revenue is deposited to the agent wallet in USDC. Container terminates. A new one spins up with the next task. This cycle repeats continuously through the night.
Your 60% share of net agent revenue from the previous session has been recorded on-chain. It is claimable at any time. Your machine has been running as configured, with no impact on normal usage.
Exact Setup Steps
Any Apple Silicon Mac works — Mac mini, MacBook, iMac, or Mac Studio. Mac minis are the ideal dedicated setup: silent, low-power, always-on, starting at $2,500. 16GB RAM recommended. Already own one? You're ready. Windows and Linux support is on the roadmap.
Free download from docker.com. This is what isolates agent tasks in secure containers. Standard install no configuration needed. Takes about 3 minutes. This is the only prerequisite before the Swarm client.
A lightweight macOS daemon (background service). Install takes under 2 minutes. It connects your machine to the Swarm orchestrator, manages container lifecycles, monitors uptime, and handles reward accounting. macOS Ventura 13+ required.
Link a Base-compatible wallet (MetaMask, Coinbase Wallet, or Rainbow). Stake $100 worth of SWARM tokens via the smart contract this is your collateral and network access pass. Stake more to earn a reward multiplier. Unstake anytime with zero penalty if you exit cleanly.
Shared: Swarm uses CPU/RAM headroom while you work normally. Lower throughput, lower rewards, no disruption to your day. Dedicated: Full machine allocated to agents. Maximum rewards. Ideal for a spare machine or overnight operation.
Rewards accumulate on-chain and are claimable any time. There is no limit on machines per pledger. Many early participants are expected to pledge 3–10 machines. Each additional machine multiplies your earnings proportionally.
System Requirements
Join the Beta Waitlist
Pledge beta is invite-only. Early pledgers receive priority spot allocation and enhanced initial reward weighting. Waitlist closes when beta capacity is reached.
Launch notification only. No spam. Unsubscribe any time.
Participating in the SWARM pledge network involves significant financial risk including potential total loss of staked tokens and hardware value. Agent revenue is experimental and unproven. This is not financial advice. Projections are hypothetical. Conduct your own independent research before participating.
Exit & Slashing Rules
| Scenario | Consequence |
|---|---|
| Brief disconnection under 15 min | Grace period zero penalty |
| Offline during active revenue task | 1–5% stake slash (proportional to task value lost) |
| Going offline mid-task | Rewards paused immediately on disconnect |
| Graceful exit tasks migrated before shutdown | Zero penalty full stake returned instantly |
| Tampering with container or intercepting data | Up to 100% stake slash permanent ban |
Token Architecture
1,000,000,000 fixed supply. No VC allocation. Zero token tax. 20% in the LP at launch. Every ongoing dollar earned by the Swarm goes back into hardware, buybacks, and pledger rewards zero team take on revenue.
Supply Allocation
No buy tax. No sell tax. Trade freely. The Swarm generates revenue from AI agent work, not from taxing its own holders. This is a fundamental design choice: revenue comes from external clients, not from extracting value on every swap.
20% of supply sold in a presale to fund the initial LP and treasury operations. Proceeds go directly into liquidity and hardware acquisition. No VC allocation, no private rounds.
200M tokens paired with USDC from presale proceeds. Designed for community access, not whale capture.
Supply Lock Effect
Each pledger stakes ~$100 of SWARM as collateral. At early token prices $100 buys a large number of tokens the exact amount depends on price at time of staking. The table below uses a conservative estimate of 100,000 SWARM per pledger throughout.
| Month | Pledgers | SWARM Staked (~100K ea.) | % Supply Locked | Circulating Supply |
|---|---|---|---|---|
| Month 2 (Beta) | 25 | 2,500,000 | 0.25% | 997,500,000 |
| Month 3 | 80 | 8,000,000 | 0.8% | 992,000,000 |
| Month 6 | 350 | 35,000,000 | 3.5% | 965,000,000 |
| Month 9 | 900 | 90,000,000 | 9% | 910,000,000 |
| Month 12 | 1,800 | 180,000,000 | 18% | 820,000,000 |
| Month 18 | 5,000 | 500,000,000 | 50% | 500,000,000 |
| Month 24 | 12,000 | 500,000,000+ | 50%+ | <500,000,000 |
Financial Models
Hypothetical scenarios. Agent revenue is experimental and unproven. These are not guarantees. Do your own research.
⚠ Disclaimer: All figures are hypothetical projections based on modeled assumptions. Agent revenue is experimental and unproven. Actual results may vary significantly. This is not financial advice. You may lose your entire investment.
Month 1 · Presale-Funded Experimentation
Month 1 is deliberately zero agent revenue. One founder. One Mac mini. Funded entirely from presale capital. The goal isn't to earn yet it's to figure out exactly what works before spending treasury capital on hardware at scale. That means: finding the first paying API customers, testing inference pricing against cloud competitors, identifying which gig-style tasks generate reliable income, and validating which services businesses will actually pay a monthly fee for. Agent revenue begins Month 2 once we know what's worth deploying at scale.
Month 2 Onwards · Agent Revenue + Pledge Network · Realistic Scenario
Month 1 is pure experimentation zero agent revenue projected. From Month 2, proven streams are deployed at scale: AI inference sales, B2B API subscriptions, gig-style task completion, and DeFi automation. With zero token tax, all Swarm revenue comes from agent work. Net revenue is split 60/40 between pledgers and the Swarm treasury.
The Core Assumption · Agent Revenue Ramp
| Metric | Mo 2 | Mo 3 | Mo 6 | Mo 9 | Mo 12 | Mo 18 | Mo 24 |
|---|---|---|---|---|---|---|---|
| Agent Gross Rev / day | $15 | $20 | $35 | $50 | $60 | $70 | $75 |
| API + Tool Costs / day | $6 | $7 | $10 | $12 | $13 | $14 | $15 |
| Net / Agent / day | $9 | $13 | $25 | $38 | $47 | $56 | $60 |
| Pledger share (60% of net) | $5.40 | $7.80 | $15.00 | $22.80 | $28.20 | $33.60 | $36.00 |
| Swarm share (40% of net) | $3.60 | $5.20 | $10.00 | $15.20 | $18.80 | $22.40 | $24.00 |
Full Network Economics
| Metric | Mo 2 Pledge Beta |
Mo 3 | Mo 6 | Mo 9 | Mo 12 | Mo 18 | Mo 24 |
|---|---|---|---|---|---|---|---|
| Treasury Minis | 12 | 20 | 50 | 150 | 300 | 600 | 1,000 |
| Pledged Minis | 25 | 80 | 350 | 900 | 1,800 | 5,000 | 12,000 |
| Agents / Node | 10 | 10 | 15 | 20 | 20 | 25 | 30 |
| ── Pledger Side ── | |||||||
| Pledged Agents total | 250 | 800 | 5,250 | 18,000 | 36,000 | 125,000 | 360,000 |
| Daily pledger earnings (net × 60%) | $1,350 | $6,240 | $78,750 | $410,400 | $1,015,200 | $4,200,000 | $12,960,000 |
| Reward / pledged mini / month | $1,620 | $2,340 | $6,750 | $13,680 | $16,920 | $25,200 | $32,400 |
| Mini payback period ($599) | ~11 days | ~8 days | ~3 days | ~32 hrs | ~26 hrs | ~17 hrs | ~13 hrs |
| ── Swarm Revenue (Agent Revenue Only · Zero Token Tax) ── | |||||||
| Treasury agents total | 120 | 200 | 750 | 3,000 | 6,000 | 15,000 | 30,000 |
| Daily from treasury agents (net × 100%) | $1,080 | $2,600 | $18,750 | $114,000 | $282,000 | $840,000 | $1,800,000 |
| Daily from pledged agents (net × 40%) | $900 | $4,160 | $52,500 | $273,600 | $676,800 | $2,800,000 | $8,640,000 |
| Total Swarm daily | $1,980 | $6,760 | $71,250 | $387,600 | $958,800 | $3,640,000 | $10,440,000 |
| Swarm monthly revenue | $59,400 | $202,800 | $2,137,500 | $11,628,000 | $28,764,000 | $109,200,000 | $313,200,000 |
| Monthly buybacks (20–35%) | $11,880 | $40,560 | $534,375 | $3,488,400 | $8,629,200 | $38,220,000 | $109,620,000 |
| Annualized Swarm revenue | $713K | $2.43M | $25.7M | $139.5M | $345.2M | $1.31B | $3.76B |
Why 10+ agents per node is realistic: Agents are I/O bound they spend 80–90% of their time waiting on API responses, not burning CPU. The Mac mini M2 handles 10 concurrent agents easily from day one. 30 by Month 24 as orchestration matures is achievable without pushing hardware limits. This is the core multiplier in the model.
Pledger economics from day one: A $2,500 Mac mini earns $1,620/month by Month 2 payback in under 7 weeks. By Month 9 that same machine earns $13,680/month running 20 agents. The increasing agent density per node is what makes this compounding: software improvement multiplies earnings without additional hardware cost.
Valuation Model
Web3 tokens with demonstrated recurring revenue typically trade at 10–50x annualized revenue. At a conservative 15x multiple based on the pledge-network-driven projections above:
| Month | Swarm Monthly Rev | Annualized | Valuation @ 15x | Valuation @ 30x |
|---|---|---|---|---|
| Month 6 | $2,137,500 | $25.7M | $385M | $770M |
| Month 9 | $11,628,000 | $139.5M | $2.09B | $4.19B |
| Month 12 | $28,764,000 | $345.2M | $5.18B | $10.4B |
| Month 18 | $109,200,000 | $1.31B | $19.7B | $39.3B |
| Month 24 | $313,200,000 | $3.76B | $56.4B | $112.8B |
At a conservative 15x multiple, the $1B valuation threshold is reached around Month 9 driven by 10 agents per node from launch, scaling to 30 by Month 24. These are pure agent earnings: treasury agent revenue + 40% of pledged agent net. Zero token tax all revenue from external AI work. The core assumption is $15–$75/day per agent gross revenue, ramping as proven playbooks compound.
Execution Timeline
Six phases from a single Mac mini in Squamish to a fully autonomous economy of AI agents, self-driving cars, and humanoid robots. Each phase builds on the last. Each phase reduces human involvement.
Risk Disclosure
This is an early-stage experimental project. Here are the real risks, stated plainly. Do not invest money you cannot afford to lose entirely.
No agent has earned a dollar yet. Month 1 tests whether the model works. If revenue streams don't materialise, the project may not reach self-sustaining threshold.
One person building and operating everything in Phase 1. If Jeff is incapacitated or exits, Phase 1 stalls. Mitigated by automation and documented systems from day one.
Phase 1 is a single machine. A hardware failure means zero agent revenue until replaced. Pledge network distribution from Phase 2 eliminates single-point-of-failure risk.
Tesla Cybercab timeline depends on Tesla's production and regulatory approval. Phase 4 may be delayed if autonomous vehicle regulations move slowly in key markets.
Founder retains LP for operational flexibility. Mitigated by doxxed founder identity and full on-chain transparency. Any LP movement will be publicly visible.
15% unlocked at launch creates potential sell pressure. Mitigated by public wallet disclosure and the founder's financial interest in long-term appreciation.
Novel territory autonomous agents, DePIN, and robotaxi fleets all face evolving regulations. Legal entity incorporated pre-launch. Jurisdiction diversification planned.
Agents rely on third-party AI APIs (Anthropic, OpenAI) for intelligence. Cost increases or access restrictions would reduce margins. Open-source models on local hardware are the mitigation path.
SWARM is a micro-cap token at launch. Price can move dramatically in either direction. Projections assume continued trading volume. A market collapse could starve the treasury of operating capital.
Behind the Swarm
Founder of TrustSwap. Squamish, BC. Eight years building in web3 from infrastructure to community to autonomous AI systems.
Track Record
TrustSwap addressed a structural gap in DeFi: trustless token vesting and launchpad infrastructure, scaled to over $3 billion in secured transactions. The Crypto App reached 5 million downloads. The launchpad raised over $100 million for more than 50 projects. SWARM applies the same execution model to a different problem: making AI agent compute economically self-sustaining at network scale.
The community of 330,000 was built through sustained transparency and direct communication, not marketing spend. That approach carries directly into SWARM's public wallet policy, on-chain reporting, and founder accountability model.
Background
A non-linear path before technology. The common thread: learning fast in high-stakes environments and communicating clearly under uncertainty.
Served in emergency services and led instruction at a circus academy. Both roles demanded composure under pressure, rapid skill acquisition, and the ability to teach difficult techniques to people with no prior background.
Began studying Bitcoin and Ethereum during the early adoption period. Started an online group to discuss emerging projects it grew to 330,000 members and became one of the most active web3 communities on Facebook, entirely through organic participation and consistent, accessible education.
Identified a missing primitive in DeFi: projects had no reliable way to handle token vesting, escrow, or structured releases on-chain. Built TrustSwap to fill that gap, community-first, no VC backing. The protocol expanded across multiple blockchains and secured over $3 billion in transactions through SmartLock, its launchpad, and staking infrastructure.
Built and scaled The Crypto App to 5 million downloads, one of the most widely used web3 portfolio and market tracking applications. Demonstrated the ability to build and grow consumer products at scale alongside core DeFi infrastructure work.
SWAP token reached a $500M peak valuation. The TrustSwap launchpad raised over $100 million for more than 50 startups across the ecosystem. SmartLock and multi-chain staking became standard infrastructure for projects across Ethereum, BNB Chain, Polygon, Avalanche, and beyond.
Funded the planting of 2 million trees. Developed Pulse an AI-assisted local directory and events platform for Squamish, BC integrating 664+ businesses, automated data pipelines, and gamification systems. Served as a proof of concept for applied AI infrastructure at community scale.
Building from Squamish, BC. Month 1 is the proof of concept one machine, one founder, testing which AI agent tasks generate reliable external revenue before deploying capital at scale. The network thesis is validated or invalidated here, in the open, with full public reporting.
Accountability Structure
Jeff Kirdeikis. Squamish, BC, Canada. Eight years of public history in web3 verifiable across LinkedIn, Twitter/X, and on-chain activity from TrustSwap. Not pseudonymous.
The Swarm treasury wallet address is published at launch and remains permanently public. Every hardware purchase, buyback, and reward distribution is on-chain and independently auditable.
15% of supply held in a single, publicly disclosed wallet. Address published at launch. No hidden wallets, no vesting complexity full on-chain visibility from day one.