
Asadov Stack
Seven AI products. One discipline.
7 followers
Seven AI products. One discipline.
7 followers
Seven AI-built finance and consumer apps from a solo CFA charterholder: mortgages, solar ROI, financial models, meal planning, prediction-market alerts, city audio tours, Ukraine reconstruction finance. Institutional-grade rigour for everyday decisions.







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Hi Product Hunt 👋
I'm Samir, a CFA charterholder and M&A and Structured Finance practitioner. Asadov Stack is my public portfolio of everything I've shipped.
Why it exists: I kept being asked "what have you built?" and this is the answer. Seven AI-native products, all applying the same discipline I'd bring to an institutional deal: actual financial modeling logic, not AI wrappers around a spreadsheet.
Here's what's inside:
🏠 MortWise: AI mortgage co-pilot. Full amortization, rate-rise stress tests, stamp duty and first-home schemes across 52 markets.
→ https://mortwise.netlify.app
☀️ RoofSolar: 25-year solar cashflow + IRR + battery + EV economics. Live PVGIS irradiance data, worldwide.
→ https://roofsolars.netlify.app
📊 ModelUp: describe your startup in a sentence and get a 5-year model, valuation, AI funding narrative and a formula-driven Excel download.
→ https://modelups.netlify.app
🔔 PolyMind: AI alert engine watching the full Polymarket firehose. Price action, volume spikes, news flow, and a ping when something real moves.
→ https://polyminds.netlify.app
🍽️ DishRoll: AI weekly meal planner. Inputs your diet, allergies, budget, cooking time.
→ https://dishroll.netlify.app
🧳 StoryRoute: AI-narrated city walking tours. Custom routes tuned to your interests, with the story behind every street and building.
→ https://storyroute.netlify.app
🌍 uVidNova: The live reconstruction-finance atlas of Ukraine. Asset-level damage map with three-path cost estimates and financing structures anchored to World Bank RDNA3 + KSE methodology. Non-profit.
→ https://uvidnova.netlify.app
Every product is free to try. Pricing is on each product's page. Would love your feedback, and happy to answer questions about the stack, the modeling logic, or how any of these were built.