

MY ROLE
DELIVERABLES
TEAM
CLIENT / YEAR

The Problem At Hand
I asked: What if you could invest in an artist's career just as you invest in a stock?

"Predicting success wasn't just hard; it was impossible without the right incentives."
I realized that for fans to care, they needed "skin in the game." I needed to build a platform that wasn't just about listening, but about **believing**. LSTNR was born from the idea of quantifying "clout" and "hype" into tradeable assets.


The Web 2.5 Constraint
Initially, I built LSTNR on a "Web 2.5" architecture—a sleek frontend backed by a centralized Supabase ledger. It worked for speed, but it introduced a critical ceiling: Trust.
Users were buying "shares" that only existed in our database. If LSTNR went offline, their assets vanished. I realized that for a prediction market to have real stakes, the ledger couldn't just be *secure*; it had to be *sovereign
The On-Chain Pivot
This insight drove the decision to move the ledger on-chain. By migrating to a decentralized infrastructure, we solved three problems at once:
1. Trust: The user owns the asset, not the platform.
2. Liquidity: Markets can remain open 24/7 without centralized clearing.
3. Composability: LSTNR assets can now interact with the broader DeFi ecosystem.

15% Design, 85% Vibe Code
Designing LSTNR wasn't just about pixels; it was about velocity.
I spent 85% of the time in Figma, crafting a high-fidelity design system that left zero ambiguity. The remaining 15%? Vibe coding.
Using Antigravity, I translated those designs into a functional Expo Go app at breakneck speed. This workflow allowed me to move from static vibe to shipping code without the typical dev handoff friction.


I frame the value proposition instantly—"Invest in their story, earn in their success and by offering multiple entry points (Wallet, Google, Apple), I bridge the gap between web2 ease and web3 utility.





Beyond trading artist shares, users can bet on specific outcomes. *Will [Artist] hit 1M streams?
Visual Clarity: We used color-coded badges (Green/Red) for "Yes/No" outcomes and clear "Open Position" summaries.
Discovery: A robust filter system (Outcome, End Date, Region) helps users find the markets they understand best.
Impact: This turns passive knowledge ("I know this song is blowing up") into an active asset class.







































