Altcoin Utility Season Portfolio

My personal altcoin allocation, shared as a signpost — what I actually hold and why, in percentages of the altcoin sleeve. Utility narratives only: AI compute, DePIN, payments, privacy, spatial computing.

Snapshot 2026-07-20 · allocations drift with price

High / extreme risk — not investment advice

This is a personal allocation published for transparency and education, not a solicitation or recommendation to buy anything. Every line here can go to zero — the bottom tier is priced like it will. Do your own research and never size positions you can't afford to lose entirely.

Allocation

Every position as a share of the disclosed sleeve (Utility Core + Frontier). Moonshot sizing is private — see that tier's rules.

TAO29.3%

PEAQ10.9%

AUKI10.5%

FET10.0%

ZBCN8.3%

LYX8.2%

AZERO7.8%

Others (6)15.1%

Utility Core 89.5%Frontier 10.5%Moonshots — sized privately

Where the conviction sits

The same sleeve grouped by utility theme.

AI43.2%Payments11.9%DePIN10.9%Spatial computing10.5%Privacy8.8%Identity8.2%AgriTech3.9%Commerce2.6%

How this fits my overall portfolio

This sleeve is the aggressive tail of my portfolio — not the core. The core of my overall allocation is BTC, and I keep at least ~20% in stablecoins so there is always dry powder for drawdowns. Everything on this page sits on top of that base, sized so that a total wipeout would hurt but not matter.

My cycle framing (a personal guess, not a forecast): going by how previous cycles were timed, I expect the cycle low somewhere around November. I'm building these positions gradually (DCA) before that, because individual utility tokens have historically bottomed — and moved — earlier than BTC itself. I may be completely wrong about both the timing and the tokens; the risk banner above is not decoration.

Utility Core

High risk89.5%

Established utility narratives — AI compute, DePIN, payments, privacy. Still altcoins: deep drawdowns are the norm, not the exception.

TAOBittensor

29.3%

Decentralized machine-intelligence network — subnets compete to serve AI workloads and are rewarded in TAO.

Price chartTradingView

Research notes

TAO is the reserve asset of the Bittensor network: miners serve models and inference inside specialized subnets, validators grade the output, and every subnet's ALPHA token is priced against TAO. Hard cap of 21M with a halving emission curve gives it a BTC-like supply profile applied to AI infrastructure.

Strengths

Established position as one of the leading decentralized-AI infrastructure networks
21M hard cap + halving-style emission — scarce-asset supply profile
Structural demand: every subnet needs TAO as the pricing and liquidity asset for its rewards

Risks

Highly experimental ecosystem — no guarantee subnet models find sustainable product-market fit
Technical complexity limits organic retail demand beyond the AI narrative
Deep-drawdown volatility and potential exposure to future AI/compute-market regulation

Catalysts to watch

Subnet ecosystem expansion
Progression along the emission-halving curve

Descriptive project notes, not investment advice.

PEAQpeaq

10.9%

Layer-1 built for DePIN and machine real-world assets — machines as first-class economic actors.

DePIN

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Research notes

peaq is a layer-1 purpose-built for DePIN and the machine economy: vehicles, robots and devices get on-chain IDs, wallets and the ability to transact autonomously. The bet is that machine real-world assets and machine-to-machine payments become a category of their own.

Strengths

Clear category focus — one of the few L1s built specifically for DePIN
Growing roster of machine/DePIN projects deploying on the network
Machine identity + payments is a differentiated primitive, not a generic L1 pitch

Risks

DePIN adoption is early — machine-economy demand is still mostly thesis
Competes with general-purpose L1s/L2s that can host the same apps
Token demand depends on real network usage materializing

Catalysts to watch

New DePIN / machine-RWA deployments onboarding to the network

Descriptive project notes, not investment advice.

ZBCNZebec Network

8.3%

Payments infrastructure — continuous streaming of payroll and payments on-chain.

Payments

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Research notes

Zebec evolved from pure payment streaming into a multi-chain financial network: payroll, cards and a SuperApp, expanding toward RWA and DePIN. Product fees are paid in ZBCN (client stablecoins auto-convert on fee accrual), and revenue funds a buyback program; the final investor unlocks end in March 2026, after which the tokenomics turn deflationary.

Strengths

Live revenue-generating products (payroll, card, SuperApp) with fees tied to the token
Maturing tokenomics: unlocks ending, revenue-funded buyback and burn
Overlaps several utility narratives at once — payments, RWA, cards, DePIN

Risks

Fintech-grade regulatory exposure: KYC/AML, card licensing, compliance costs
Value accrual depends on one core business — weak cash flow means weak buybacks
Competitive Web3 payroll/payments segment

Catalysts to watch

Deflationary regime fully in force since the final March 2026 unlocks
Buyback cadence tracking product revenue

Descriptive project notes, not investment advice.

LYXLUKSO

8.2%

Identity-centric layer-1 (Universal Profiles) targeting the creative and social economy.

Identity

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Research notes

LUKSO targets the creative and social economy with identity as the core primitive: Universal Profiles are smart-contract accounts with recoverability and rich metadata, aiming to make on-chain identity usable for mainstream brands and creators.

Strengths

Universal Profiles are a genuinely different UX primitive vs plain wallets
Founder pedigree from the Ethereum ecosystem (ERC-20 co-author)
Brand/creator niche avoids head-on competition with DeFi chains

Risks

Network effects in social/creator crypto have been hard to bootstrap
Small ecosystem relative to major L1s/L2s
Identity standards can be copied onto larger chains

Descriptive project notes, not investment advice.

AZEROAleph Zero

7.8%

Privacy-enhancing layer-1 combining zero-knowledge proofs with multi-party computation, sub-second finality.

Privacy

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Research notes

Aleph Zero combines a fast DAG-based consensus (sub-second finality) with a privacy layer built on zero-knowledge proofs and multi-party computation — aiming at use cases that need confidentiality with compliance in mind.

Strengths

Differentiated privacy stack (zk + MPC) rather than mixer-style anonymity
Strong performance profile — sub-second finality
Enterprise-oriented positioning on privacy-with-compliance

Risks

Privacy chains face persistent regulatory overhang
Ecosystem growth has lagged the tech
Competes with both privacy protocols and zk features landing on major chains

Descriptive project notes, not investment advice.

FETArtificial Superintelligence Alliance

10.0%

Merged Fetch.ai / SingularityNET / Ocean stack — decentralized agentic-AI infrastructure and marketplaces.

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Research notes

FET is becoming the base token of the Artificial Superintelligence Alliance — the Fetch.ai / SingularityNET / Ocean Protocol merger building a vertically integrated decentralized-AI stack from agents through data to research. AGIX and OCEAN fold into it at fixed exchange rates; supply is ~2.7B.

Strengths

Three merged ecosystems: more developers, use cases and community than any single one
Deep liquidity and top-tier exchange coverage
Working agent, data and research stack for building real applications

Risks

Heavy supply and high FDV relative to current adoption
Multi-project merger adds governance, integration and coordination risk
Agent adoption still trails the 'decentralized AGI' marketing

Catalysts to watch

Completion of the ASI token merge and rebrand

Descriptive project notes, not investment advice.

DMTRDimitra

3.9%

Agritech data platform bringing satellite, sensor and ML tooling to emerging-market farming.

AgriTech

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Research notes

Dimitra applies satellite imagery, IoT sensors and machine learning to emerging-market agriculture, with token-gated access to its platforms. The bet is real-world agritech adoption paying into an on-chain economy.

Strengths

Real-world vertical with concrete government/agribusiness deployments
AgriTech is uncorrelated with typical crypto narratives — diversifying exposure
Token tied to platform access rather than pure speculation

Risks

Emerging-market B2G/B2B sales cycles are slow and lumpy
Low liquidity and limited exchange coverage
Platform value must ultimately justify the token layer

Descriptive project notes, not investment advice.

AVICIAviciMoney · Solana

3.7%

Crypto-neobank front end on Solana — self-custodial smart wallets, Visa cards, virtual IBANs, business accounts and stablecoin payroll.

Payments

Price chartDEX Screener

Research notes

AviciMoney is the user-layer bet of the crypto-neobank stack: instead of building rails (telecom networks, stablecoin L1s), it packages crypto finance like a modern fintech app — self-custodial wallets, Visa card spending, virtual IBAN accounts, business treasury and stablecoin payroll — with card and service fees funding buybacks and burns so token holders participate in platform revenue.

Strengths

User-facing products people already understand: cards, IBANs, payroll, business accounts
Revenue-linked token design — fees fund buybacks/burns rather than pure emissions
Virtual IBANs improve fiat on/off-ramps and cross-border account functionality

Risks

Thin liquidity and a small user base — the revenue flywheel needs far more scale to be durable
Execution depends on third-party rails: Solana, Visa and banking partners
Card/banking regulatory exposure (KYC/AML, licensing) typical for fintech

Catalysts to watch

Virtual IBAN rollout
Planned credit products

Descriptive project notes, not investment advice.

BOSONBoson Protocol

2.6%

Decentralized commerce — physical goods tokenized as redeemable on-chain vouchers.

Commerce

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Research notes

Boson Protocol builds decentralized commerce rails: physical products sold as redeemable on-chain vouchers with game-theoretic dispute resolution, removing the trusted intermediary from e-commerce settlement.

Strengths

Novel primitive — trust-minimized physical-goods settlement
Commerce is a massive addressable market if Web3 retail materializes
Long-running project that survived a full bear cycle

Risks

Web3 commerce demand has repeatedly under-delivered vs expectations
Requires both merchant and buyer adoption simultaneously
Thin liquidity and modest developer traction

Descriptive project notes, not investment advice.

ORAIOraichain

2.4%

AI oracle layer and AI-centric chain — verifiable AI computation for smart contracts.

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Research notes

Oraichain started as an AI oracle — verifying AI model outputs for smart contracts — and expanded into an AI-centric chain and tooling stack, positioning itself as verifiability infrastructure for on-chain AI.

Strengths

Early mover on AI-oracle verifiability, a niche most AI tokens ignore
Full stack: chain, oracle, and AI tooling under one ecosystem
Verifiable AI becomes more relevant as agents touch real funds

Risks

Small ecosystem vs the leading AI-crypto platforms
AI-oracle demand is still nascent
Cosmos-adjacent ecosystems have struggled to retain liquidity

Descriptive project notes, not investment advice.

OPENXOpenxAI Network

1.5%

Decentralized AI protocol — permissionless creation, ownership and monetization of AI agents, with tokenized compute and low-code tooling.

Price chartDEX Screener

Research notes

OpenxAI positions itself as an AI layer for Web3: a permissionless protocol where builders create, own and monetize AI agents end-to-end — code, app and infrastructure — without a platform intermediary, backed by tokenized compute marketed as materially cheaper than centralized cloud plus low-code tooling for shipping AI apps fast.

Strengths

Team with ex-Fantom and Auki background; reported $9M+ in ecosystem spend
Integrations with Base and the Fetch.ai/ASI ecosystem plug it into large existing communities
Clear niche: agent ownership plus compute, not another model marketplace

Risks

Compute-cost claims (up to ~80% below AWS) are marketing until proven at scale
Crowded decentralized-compute segment (Akash, Render, io.net and others)
Microcap liquidity and early product maturity

Catalysts to watch

Base and Fetch.ai/ASI integration milestones

Descriptive project notes, not investment advice.

MPCPartisia Blockchain

1.1%

Privacy blockchain built on multi-party computation — confidential smart contracts.

Privacy

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Research notes

Partisia brings academic-grade multi-party computation to a blockchain: data can be computed on while staying encrypted, targeting confidential enterprise workloads and privacy-preserving data markets.

Strengths

Deep MPC research pedigree — the team helped pioneer commercial MPC
Confidential compute is a real enterprise requirement, not a crypto-native fad
Differentiated from zk-only privacy approaches

Risks

Enterprise adoption of token-based infrastructure remains slow
Low market visibility and liquidity
Privacy-tech competition from zk stacks with larger ecosystems

Descriptive project notes, not investment advice.

Frontier

Very high risk10.5%

Younger protocols with a live product but an unproven market. Sized accordingly.

AUKIAuki Labs (posemesh)

10.5%

Decentralized machine-perception network — shared spatial computing (the posemesh) for AR and robotics positioning.

Spatial computing

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Research notes

Auki Labs is building the posemesh — a decentralized machine-perception network that lets devices, robots and AR applications share a common understanding of physical space. Think DePIN economics applied to spatial computing: nodes contribute positioning capability and earn for serving it.

Strengths

Spatial computing tailwind — AR glasses and robotics both need shared positioning
Live deployments in retail (in-store navigation) rather than pure whitepaper
Niche with few direct decentralized competitors

Risks

Market timing depends on AR/robotics hardware adoption curves
Small cap, thin liquidity, limited analyst coverage
Concentrated single-team execution risk

Catalysts to watch

Retail posemesh deployments scaling
AR / smart-glasses hardware cycle

Descriptive project notes, not investment advice.

Moonshots

Extreme risk

~$100k market-cap microcaps — very early, negligible liquidity, thin holder bases. The realistic base case is that a project simply doesn't make it; the ones that do are 100x-type bets. My personal rules here: never more than 0.1–0.3% of the overall portfolio per position, and after the first serious move I take the initial stake out and let the rest ride, so the project gets time to develop on house money. In aggregate this bucket always stays below 5% of my overall portfolio. Exact allocations stay private.

NRLNodeRails · Solana

Multi-chain crypto payments gateway — hosted checkouts, payment links, subscriptions and dispute protection across EVM, Solana and Sui.

Payments

Price chartDEX Screener

Research notes

NodeRails is checkout infrastructure for web3 commerce: hosted checkouts, payment links, subscriptions, invoices and dispute protection, built on a full payment-intent lifecycle (created → authorized → captured → settled, plus refunds and disputes) with webhooks and on-chain refunds. NRL is the brand's Solana SPL token with ~1B fully circulating supply — no unlock overhang.

Strengths

Developer-friendly stack: APIs, webhooks and a coherent payment-intent model
Live product in a real vertical (e-commerce payments), not just a whitepaper
Confirmed, active developer — the project has been recognized with hackathon awards
Fully circulating supply — a clean spot market with no vesting cliffs ahead

Risks

No explicit value-capture from business revenue to the token yet — stablecoins sit at the center of the payment flow, not NRL
Extremely thin liquidity, few holders, top-10 addresses hold ~40% of supply
No major exchange listings — price is easy to move

Descriptive project notes, not investment advice.

OCCAOCCA AI · Solana

Operating layer for agent-run companies — on-chain identity, treasury and a verifiable trace of every AI agent's actions.

Price chartDEX Screener

Research notes

OCCA AI is building the operating layer for companies run by autonomous AI agents: every agent, task and transaction lands on-chain, state is deterministic, and models are called only where a step actually needs inference — the goal is an agent-run company that is fully auditable on-chain rather than a black-box LLM SaaS.

Strengths

Pure exposure to the autonomous-agents narrative — agent identity, treasury and audit trail as the product
Verifiable-on-chain stats by design, not dashboard claims
Integrates with existing agent runtimes rather than reinventing them

Risks

No published tokenomics — supply breakdown, vesting and value accrual are unknown
Concept stage: no disclosed revenue or mature product
Extreme microcap liquidity — exits from any meaningful size are narrow

Descriptive project notes, not investment advice.

SWCHSwitchboard · Solana

Permissionless oracle network — low-latency price feeds, verifiable randomness and a cross-provider aggregator, extending into AI inference.

Oracles

Price chartDEX Screener

Research notes

Switchboard is a permissionless oracle network: sub-100ms streaming price feeds, verifiable randomness and an aggregator that combines providers like Chainlink and Pyth into one feed, extended with TEE-secured custom data and an AI inference exchange. Staked tokens (svSWTCH) carry governance and a share of oracle fees, and operators need delegated stake as economic security.

Strengths

Fundamental use case — oracles and VRF are needed in every market regime
Explicit value capture: staking rewards paid from real oracle fees
Working product with cross-chain integrations at a very small market cap

Risks

Entrenched competition (Chainlink, Pyth, RedStone) with far larger network effects
Conflicting circulating-supply data across trackers and extreme volatility since listing
The AI inference exchange is new and unproven as a demand source

Catalysts to watch

Traction of the AI inference exchange
Cross-chain feed expansion

Descriptive project notes, not investment advice.

Percentages are shares of the disclosed sleeve (Utility Core + Frontier) — they say nothing about absolute amounts or overall net-worth allocation, and Moonshot sizing is private by design. Rounding means tiers and themes may not sum to exactly 100%.

Want the process behind sizing and grading decisions like these? Try the AI Trade Review — it grades your decision, not your PnL.