Take Profit Without Crashing the Chart

ACM is a DeFi product for Atlantus that turns raw token exposure into time-locked ETF positions, CHLZ, that trade OTC. A holding becomes a basket that matures on a schedule, mints as an NFT, and changes hands off-book, so sell pressure leaves without liquidity leaving with it.

Embedded with the protocol team as sole designer, I owned the whole surface: how these instruments get created, discovered, managed, screened, and traded.

A founder holding 10M tokens wants to take profit. They sell on the open market, the chart craters, the community panics, and the project loses more than the founder gained. The alternative is holding forever, locking up capital they need to build.

CHLZ is the third option: bundle tokens into a time-locked basket, mint it as an NFT, sell that NFT OTC. The chart never moves.

The design problem was sharper than the mechanism: help someone trust a system that acts autonomously with their funds for months, when it behaves like neither staking, futures, nor an NFT. Every borrowed metaphor became a trap.

The Atlantus stack was three separate interfaces: a wallet, an ETF builder, and a marketplace. Creating an ETF and listing it meant three logins, two context switches, and a copy-pasted contract address. Technically possible, practically broken.

The audience spread made it harder: the same flow had to serve a retail investor new to DeFi and an institutional market maker running eight-figure positions, without condescending to either.

Consolidation was the only way mint, list, then trade could work as one continuous act.

I collapsed the stack into a single dApp carrying the full lifecycle, build, mint, manage, simulate, trade, on one identity, with no address copy-pasting. Five surfaces did the work.

I tested the build with 22 people, from first-time DeFi users to market makers. Two findings reshaped the product.

Early versions leaned on staking patterns, and users kept asking “when do I get my tokens back?” The interface had told them it was staking, so they trusted the wrong mental model.

Without a way to see the outcome across scenarios, the configuration step bled a 34% abandonment. People wouldn’t commit capital to a shape they couldn’t picture. That is what made the simulator non-optional.

Both findings pointed at one fix: make the outcome visible before money moves. The SXRN forecast sits inside the mint flow, not behind it, projecting payouts across bull, base, and bear with the early-exit penalty upfront. Honesty there is what earns the commit.

Before this, teams applied blind and got rejected with no explanation. The screening tool flips that: they self-assess against visible criteria. Score four or more and the project routes to mETF, the two-year cycle; below four, to iETF, the four-year cycle. No project is rejected, only routed.

Three products collapsed into one dApp. Across 22 usability participants, including first-time DeFi users, the ETF creation flow hit a 91% completion rate, and the average time from account to a first minted ETF was six minutes. OTC CHLZ trades produced zero chart impact on the underlying, the entire point.

When you design for an asset class with no mental model yet, every familiar pattern is a trap.