A full-stack market intelligence tool tracking 48 AI startups across 19 categories — built as Portfolio Project #3 by Ramilya Bakiyeva.
Live app: [https://ai-startups-rami.streamlit.app/]
This dashboard was built to demonstrate market research, data engineering, and business analytics skills relevant to technical sales roles (Sales Engineer, Solutions Consultant, Technical CSM).
It answers the question a strategic account manager actually asks: "Which AI companies are worth pursuing, why, and how do I sell to them?"
- Ecosystem Map — Treemap of 48 companies colored by capital efficiency, sized by funding
- Company Intelligence — Per-company KPIs: funding, valuation, ARR, growth, val/ARR multiple vs. category median
- Investor Intelligence — 5-tier investor taxonomy (Big Tech Strategic → Angel), cascading filters, portfolio view
- GTM Strategy — Use case taxonomy with ROI drivers and target ICPs per category
- PDF Report Generator — Exportable intelligence briefs (company one-pager or full ecosystem overview) with cover page and custom context field
- 48 AI companies — $78B+ total funding, 83% with confirmed valuations, 42% with 2026 ARR
- 160 funding rounds — Seed through Series D, with lead investors and post-money valuations
- 86 investor profiles — Structured into 5 tiers with GTM signals
- 19-category use case taxonomy — Maps each AI category to industries, ROI drivers, and value propositions
- Sources: Sacra, TechCrunch, company blogs, Crunchbase (verified March 2026)
| Layer | Tools |
|---|---|
| Frontend | Streamlit |
| Data | Python, Pandas, SQLite |
| Visualization | Plotly |
| PDF Generation | ReportLab |
| Version Control | Git / GitHub |
git clone https://github.com/ramilyabm/AI-Startup-Market-Intelligence.git
cd AI-Startup-Market-Intelligence
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python data_setup.py
streamlit run streamlit_app.pyBuilt by Ramilya Bakiyeva — transitioning from elite B2B sales (top 1% at P&G, Eastern Europe) into AI-focused technical sales roles.
This is the third of three portfolio projects demonstrating business-technical fluency:
- Revenue Intelligence Dashboard
- AI Transformation in 10 Years
- AI Startup Market Intelligence ← this project
📍 San Jose, CA · LinkedIn