Demas Bermani Surya
Designer who does vibecoding
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fvrom — an AI investment memory interface
Most retail investors don't struggle because they lack data. They struggle because they forget their own reasoning — the thesis, the conviction, the exit plan they had before fear or hype took over.
I noticed this in my own investing before I noticed it anywhere else. So I built fvrom: an AI tool that doesn't tell you what to buy, but helps you remember why you bought it — and whether that reasoning still holds.
When you open a position, fvrom asks what you believe, what would change your mind, and how you're feeling right now — capturing thesis and emotion together. 30 days later, before you see any new price or analysis, it resurfaces exactly what you wrote. This is who you were. Do you still believe this? If your behavior has drifted from your own stated thesis, fvrom flags it directly — no softening.
The "AI Reading" you get isn't a recommendation. It's a structured lens across valuation, macro context, sentiment, and scenario probabilities — built to support your thinking, not replace it.
Process & tools: the entire prototype — design system, capture flow, Supabase-backed data layer, AI memory logic — was built end-to-end in Figma Make, validated before a single line of production code.
This is also a deliberate evolution from an earlier fvrom I shipped — that one was dark and purple, built for energy. This one is warm and slow, because the real insight changed: fvrom isn't about momentum, it's about memory.
Live prototype: https://www.figma.com/make/3jtRlYLXncVikspnFLjWtT/Investment-Thesis-Memory-Interface?code-node-id=0-9&p=f&t=EEaeRooVuwASRRUp-0&fullscreen=1
Figma Community file: https://www.figma.com/community/file/1649301453564223392
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