Stablehunter helps users understand, compare, and allocate on-chain stable assets by translating complex DeFi yields into a risk-structured decision system.Not higher yield hunting — but clearer risk boundaries.
Stablecoins are evolving beyond niche crypto tools to become a foundational layer for global dollar liquidity. Our market analysis breaks down this significant shift into three key segments:
Global Stablecoin Market Cap
Serviceable Addressable Market (SAM)
Yield-bearing Stablecoins & Tokenized Real World Assets (RWA)
Serviceable Obtainable Market (SOM)
Aggregator Monetization Market
These projections are primarily sourced from Citigroup's "Stablecoins 2030" Citi GPS report and Dataintelo's 2025 market insights.
Asset allocation needs a risk framework
• Shared risk tiers (e.g. low → high risk)
• Clear asset roles in a portfolio
• Allocation decisions come before product selection
• Yield-first discussions
•Familiar labels replace risk classification
•Products compared without a common baseline
What’s missing is not assets or innovation —but a shared risk framework that allocation decisions can anchor to.Without it, allocation becomes intuitive rather than structured.
Not all risks are the same. In asset allocation, different risks answer different questions and fail in different ways. Treating them as one obscures risk rather than clarifying it.
A practical risk framework separates allocation risk into layers:
This framework does not predict outcomes. It clarifies where different risks belong.
Turning risk understanding into decision intelligence
Stablehunter sits between on-chain assets and allocation decisions. It does not replace judgment. It structures it.
Stablehunter is a decision intelligence layer for Web3 asset allocation.
It helps users:
This roadmap is not a feature timeline. It reflects how allocation decisions are progressively externalized into product capabilities.
Stablehunter 1.0 — Interpretation Layer
1.0 focuses on interpretation.
Stablehunter 2.0 — Decision Assistance（AI）
2.0 introduces decision assistance.
Stablehunter 3.0 — Allocation Infrastructure
3.0 moves toward allocation infrastructure.
Each stage builds on the previous one. Skipping layers increases risk, not speed.
Stablehunter is not built for beginners.It is built for users whose relationship with risk is already changing.
What these groups share is not return expectations, but a need to understand risk before allocating capital.
This shift is not driven by a single cycle. It is the result of multiple structural changes converging at the same time.
After multiple boom-and-bust cycles, participants no longer treat volatility as temporary. Risk is no longer theoretical. It has been experienced.
Stablecoins are no longer just settlement tools. They are becoming units of account, stores of value, and sources of income.
In traditional finance, risk-adjusted returns have compressed. Allocators are not seeking speculation, but new environments with familiar discipline.
What is missing is not access to assets, but a way to interpret and compare risk across these converging flows. This is why decision intelligence, not execution, becomes the bottleneck.
How Stablehunter captures value over time
Stablehunter does not start by selling financial products. It monetizes decision quality first, and gradually participates in value distribution.
As trust is established, Stablehunter participates in product distribution. Revenue comes from transparent rebates, not preferential ranking or traffic selling
At later stages, Stablehunter introduces model-driven strategies and proprietary allocation products.This stage follows sufficient scale, data, and trust.
Stablehunter grows by improving decisions, not by encouraging more transactions.
Stablehunter is built by a team that has repeatedly worked at the intersection of business execution, complex products, and financial infrastructure.
Founder with 11 years of continuous entrepreneurship, deep experience in B2B, GTM, and commercialization.Over the past 8 months, gained hands-on understanding of Web3 payments, and developed system-level insight into the industry.
CPO previously served as VP of Product, leading product design, user growth, and agile organization practices.Over 12 years of hands-on product leadership across consumer, social, and 2B financial products.
The team combines: • on-chain asset product experience across market cycles • engineering leadership from large-scale consumer platforms • senior full-stack execution capability
The team currently consists of 8 members and is intentionally designed to remain lean, scaling thoughtfully within a range of 8–12 people.
This team is built to turn abstract frameworks into working systems — and to do so without rushing ahead of understanding.
Stablehunter v1.0 is not a feature demo. It is a working prototype that turns risk interpretation into a visible process.
v1.0 validates three core assumptions:
Today, v1.0 is used to:
As part of v1.0 validation, Stablehunter currently supports off-market retail access to XAUT. This allows us to observe how users interpret structure, custody, and liquidity risks before making allocation decisions.
v1.0 does not automate decisions or take asset positions. Additional asset formats will be explored only after the framework proves robust.
Stablehunter has a working prototype today, with v1.0 scheduled to go live in January. This round focuses on validation, not simply completing a product launch.
Validation milestones (during this round)
0–3 months
Real users actively use Stablehunter to inform decisions
3–6 months
Willingness to pay for clarity and risk understanding is validated
6–12 months
Decision framework proves consistent across market conditions
12–18 months
System is ready to evolve into AI-assisted decision layers
~40%
Launch and iterate Stablehunter v1.0; formalize the multi-layer risk framework; build data pipelines and decision logic; prepare AI-assisted decision layers
~35%
Maintain a lean 8–12 person team across product, engineering, research, and operations
~15%
Support limited real-asset access (e.g. XAUT); observe user interpretation of structure, custody, and liquidity; stress-test the framework
~10%
Legal, financial, and compliance foundations; security and infrastructure; operational resilience
Closing StatementStablehunter helps users understand where they stand, before deciding where to go.