01 / Logo
CASE 01 / Side project · Founder · AI product · Full stack
ScoRAGE
I created ScoRAGE to make crypto risk easier to understand.
SCOPE / OWNERSHIP
ScoRAGE is a side project I started and built from scratch. I worked on the offer, identity, user journeys, the F.I.R.E.S. engine and the architecture needed to turn scattered data into a clear report.
- Role
- Founder. I defined the vision, positioning, product, identity and experience. I also led and built the V1.
- Scope
- Offer and pricing, identity, landing page, Discord bot, authenticated space, dashboard, analysis engine, web and PDF reports, backend and testing.
- Context
- A personal project built outside Studi0x. I used it to test an idea against the market and build a real product from end to end.
01 / The challenge
Build a tool that is simple enough to help people decide, without pretending it can replace an audit.
02 / My approach
I started with one simple question: is this project worth more of my time? I defined three offers, then built the full journey. The user adds the bot to Discord, runs /analyse on a website, project or token, then receives a Fast Check, a F.I.R.E.S. score and a PDF report. I organized the work in a daily backlog and used several AI agents to move product, code and quality checks forward in parallel.
03 / Visual identity
Visual identity
I built a direct, readable warning identity. Red signals risk, black creates precision and the scan lines give the word RAGE immediate tension.
02 / Palette
Alert
#ED1A30Black
#000000Surface
#FAFAFASlate
#37446B04 / Evidence & scope
Evidence & scope
0151
work days documented in Notion
0210
signal sources checked by the engine
0328
test and quality-control suites
05 / Design decisions
Design decisions
01
Make it useful without requiring expertise
The report starts with a Fast Check, a score out of 100, clear warnings and a recommendation. The user should understand the risk level in 30 seconds, even without knowing how to read a smart contract.
02
Never invent what is missing
Services collect the facts, rules calculate the score and AI explains the result. If information is missing or a source does not respond, ScoRAGE says so clearly.
03
Build it to last
The web report, PDF and future API all use the same foundation. History, contributions and revisions let an analysis evolve without hiding what changed.
06 / Delivery
Delivery
From April to July 2026, the project moved forward across 39 commits. The V1 includes a landing page, authentication, dashboard, analysis form, library, reports that can evolve, annotations, contributions and PDF export. The engine checks 10 signal sources and uses 28 test suites to separate real risk from missing data or an unavailable service.
Capabilities
- Product creation
- Strategy and offer
- Identity and UX/UI
- Full-stack architecture
- AI agent orchestration
- Delivery and QA
07 / Production archives
Production archives
The public website shows the product’s two key moments: starting an analysis without technical expertise, then understanding the verdict in a few seconds.
The journey starts in Discord: add the bot, run /analyse, then let ScoRAGE collect the useful signals.
Each analysis produces a score, a verdict and a shareable PDF. The first reading level is designed to be understood in 30 seconds.