Fudenv Labs
A product studio building data-driven tools across marketplaces, analytics, and decision optimization.
I design, build, and ship products from discovery to MVP—combining product strategy, analytics, and engineering.
What I’m building
Products
Unsold Inventory Marketplace
Supply-demand matching for surplus food & retail inventory.
- Two-sided marketplace flows (supply + demand).
- Matching and pricing rules for time-sensitive inventory.
- MVP roadmap focused on partnerships and repeat supply.
Next.jsTypeScriptPythonFastAPISQL
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MMM Analytics Platform
Marketing mix modeling & spend optimization for SMB advertisers.
- MMM pipeline design and modeling approach.
- Scenario planning and budget reallocation insights.
- Outputs packaged for non-technical operators.
PythonFastAPISQLNext.jsTypeScript
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Influencer Fit Engine
Market-fit and audience overlap analysis for creator partnerships.
- Brand-to-creator matching logic and scoring.
- Audience overlap + content affinity signals.
- Reporting built for partnership decision-making.
Next.jsTypeScriptPythonSQL
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Credit Card Optimizer
Decision engine to maximize rewards across complex card ecosystems.
- Optimization logic for multi-card setups and categories.
- Configurable assumptions (value per point, caps, multipliers).
- Outputs as clear recommendations and comparisons.
Next.jsTypeScriptMath/OptimizationCSV/JSON inputs
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Principles
How I work
Start with the user
Define the job-to-be-done and narrow to an MVP that can ship.
Instrument everything
Make metrics part of the product—so iteration is obvious.
Ship, learn, repeat
Tight loops: build → test → refine → launch.