šŸš€ From Terra’s Ashes to $50M in Fees: How Based Found PMF on Hyperliquid
When Shift Happens•
March 22, 2026

šŸš€ From Terra’s Ashes to $50M in Fees: How Based Found PMF on Hyperliquid

Why this matters

Across crypto’s most turbulent cycle, one team’s journey tracks the industry’s tectonic shifts: consensus wars (2018), DeFi summer (2020), Terra’s collapse (2022), USDC’s depeg and FTX (2023), and the rise of on-chain perps marketplaces (2024–2025). The result is a case study in resilience, ruthless focus, and business-model selection — culminating in a specialized trading wallet on Hyperliquid with real traction.

ā€œIn the last eight months we did around close to 40 billion in volume, which is roughly around $50 million in revenue.ā€

Origin story: from throughput to use-cases

  • Engineering roots: Edison, co-founder of Based, entered crypto in 2018 as one of the first engineers at Zilliqa, working from consensus R&D to applications. The era obsessed over engines (Byzantine fault tolerance, Proof of Stake/Work) before the market asked why the engine should be used at all.
  • Bear market apprenticeship: Singapore’s 2018 cohort (Kyber, Zilliqa) seeded a network of founders who later built Jupiter, Pendle, Defiance Capital, and more — a ā€œmini PayPal mafiaā€ effect.

DeFi, Terra, and a hard reset

  • DeFi pull: 2020’s wave (Yearn, Sushi) drew the team deeper into on-chain strategy.
  • Terra thesis: Luna-UST design, fast UX, and ~20% APR on Anchor made the ecosystem feel like the future. Arbitrage strategies (including the bLUNA-LUNA 21-day arb) were ubiquitous. As one anecdote put it: ā€œwe were making like 1.5 or 2% ... every 21 days.ā€
  • Product #1 (Subra): a self-repaying model to DCA into BTC, buy Mirror stocks, or subscribe to services while Anchor’s yield covered principal — ā€œwe went live in March, for 40 days, and then the whole Terra collapse happened.ā€
ā€œThe collapse of Luna resulted in me losing 95% of my net worth.ā€

Host context framed the scale: ā€œ$40 billion in Luna and $20 billion in UST gone overnight.ā€

Survival pivots: payments, cards — and hard lessons

  • Payment gateway (Suba): ā€œStripe for Web3ā€ with on-chain subscriptions and Shopify stablecoin checkout. The team raised ~$2 million (led by Spartan and Hash) and extracted company funds at ~70 cents on the dollar during the chaos — enough runway to build.
  • Macro headwinds: ā€œUSDC had a depeg… [SVB] …USDC pegs to 85 cents… very difficult time to build any stablecoin business.ā€ Merchant adoption stalled.
  • Visa x self-custody card (2023): smart-contract wallet (ERC-4337) with a non-custodial Visa card; Singapore-focused launch with an orange card, SSG (a SGD stablecoin) and later USDC. Economics were viable via interchange: ā€œaround 0.5% all the way to 2%.ā€
  • Unit-economics reality: card businesses carry non-zero CAC and ops costs (shipping, activation). It turned profitable with scale — until an April 2025 fraud hit: ā€œsomeone used our cards… charged us more than authorized… the company absorbed that bad debt.ā€

The decisive turn: specialize on Hyperliquid

Rather than another generic, multi-chain wallet, Based chose depth over breadth: build a high-performance, single-chain trading experience for Hyperliquid, aimed squarely at the ā€œretail pro.ā€

ā€œWhat if this whole wallet only works very well on one chain — and that chain is Hyperliquid.ā€
  • Monetization via Builder Codes: The front-end captures spread/fee economics while Hyperliquid provides the execution layer. Quote: ā€œIf people pay 4.5 basis point for taker fees on Hyperliquid, we charge like 2.5 basis point on top — around seven.ā€
  • Competitive stack: Binance is cited at ā€œaround six [bps]ā€; Coinbase is ā€œvery competitive,ā€ making Based’s ~7 bps in line with major CEX pricing for the target user.
  • Distribution engine: A referral-led growth loop (inspired by Bybit/FX CRM playbooks) substituted for an expensive field sales org and bootstrapped network effects.

Product-market fit: the numbers

  • Eight-month clip: ā€œclose to 40 billion in volume,ā€ generating ā€œroughly around $50 million in revenue.ā€
  • Positioning: Built for the retail pro — traders comfortable with five- to six-figure sizes who demand order books, funding, and robust mobile UX. Not the UI-minimalist retail (Phantom, MetaMask), nor fee-obsessed institutional pros who go direct.
ā€œA platform that allows you to trade everything and spend everywhere.ā€

Ecosystem build-outs: Hyena Trade with Ethena

Based partnered with Ethena on Hyena Trade, a Hyperliquid H3 deployment with a USDe-quoted market design.

  • Roles: Ethena procures what’s required to operate the H3 exchange and bears market deployment costs; Based built the entire front end and UX to scale the venue.

Strategy doctrine: revenue first, then scope

ā€œSome things are cool, but it may not generate the revenue at the end of the day.ā€
  • Learned constraint: Focus on solvable distribution, durable fee capture, and chain-aligned incentives (Builder Codes) over speculative multi-chain sprawl.
  • Last-shot clarity: With ā€œ200k in the bankā€ and memoed closure plans, the team made one final, concentrated bet. Quote: ā€œThis was our last shot.ā€

AI agents are coming: build the financial OS now šŸ¤–

Based’s next arc moves beyond humans. The wallet becomes a programmable control plane — identity, permissions, payments — for autonomous agents.

  • Agent permissions: Smart accounts (ERC-4337) to grant scoped trading/spending rights; potential for virtual cards controlled by agents.
  • Standards and settlement: Reference to ā€œS42ā€ as a payments standard for agent-to-agent settlement.
  • Inference payments live: The team introduced a feature for wallets to pay for AI inference using USDH or USDC on Hyperliquid.
ā€œEvery human is going to have at least one personal assistant that is an AI agent.ā€

Contextual quote bank

  • On fee model and parity: ā€œWe charge like 2.5 basis point on top… around seven… Binance is around six [bps].ā€
  • On the pivot thesis: ā€œWhat if this whole wallet only works very well on one chain — and that chain is Hyperliquid.ā€
  • On growth mechanics: ā€œSocial virality is very important… empower a referral model.ā€
  • On survival: ā€œWe managed to get [company funds] out around like 70 cents on the dollars.ā€
  • On card economics: ā€œYou also get a revenue stream… around 0.5% all the way to 2% on interchange fees.ā€
  • On the Terra shock: ā€œWe went live for 40 days and then the whole Terra collapse happened.ā€

Risks and watch items

  • Concentration risk: Heavy reliance on Hyperliquid’s growth, stability, and Builder Code sustainability.
  • Fraud and credit risk in payments: The April 2025 incident underscores non-trivial downside tails in card programs.
  • Referral loop durability: Growth hinges on ongoing incentivization versus organic retention.
  • AI timing risk: Agent capabilities and standards (e.g., ā€œS42ā€) must mature to support the operating-system vision.

The takeaway

This is a blueprint for crypto founders operating in hostile cycles: pick the right business model, let incentives do distribution, and specialize for one ecosystem until the economics work. As Hyperliquid pushes an ā€œAWS of liquidityā€ paradigm, expect more front-end empires to emerge — but few will match Based’s combination of velocity, fee capture, and a credible path from ā€œtrade everythingā€ to an agent-native financial OS.

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