How VC Firms Identify and Source Investment Opportunities
Discover how venture capital firms identify, source, and triage high-growth startup opportunities through inbound, outbound, and network deal flow channels.
Technical Library · 820 Publications
Research, ideas & engineering insights.
A curated library of technical guides, AI implementations, financial research, product insights and automotive analysis.
How Venture Capitalists Evaluate Founder Background and Capability
Explore the qualitative and quantitative frameworks venture capitalists use to evaluate founder capability, leadership grit, and domain execution.
Pre-Money vs Post-Money Valuation: Mechanics and Ownership Math
Learn the essential mechanics and arithmetic bridging pre-money valuation, investment round size, post-money valuation, and investor equity ownership.
Startup Equity Dilution: How Follow-on Rounds Impact Early Shareholders
Analyze how successive financing rounds dilute founders, early employees, and seed investors across financing cycles from Seed to Series C.
Startup Financial Modelling: Building Bottom-Up Revenue Forecasts
Learn how early-stage investors construct bottom-up financial models and operating driver forecast matrices for high-growth startups.
Startup Valuation Methodologies Across Seed and Series A
Compare Berkus, Scorecard, First Chicago, and Cost-to-Duplicate methodologies used to value pre-revenue and early-revenue technology startups.
The Venture Capital Method of Valuation: Target Returns and Exit Values
Master Bill Sahlman's classic Venture Capital Method of valuation, discounting terminal exit values using target hurdle returns and dilution factors.
How to Build an AI Research Agent That Searches the Web and Writes Reports
Learn how to build an AI research agent in Python using LangGraph, Playwright, and SearXNG that plans queries, verifies web sources, and writes cited reports.
How to Build an AI Excel Agent That Reads, Analyses and Updates Spreadsheets
Step-by-step guide to building an AI agent for Excel using Python, Pandas, and OpenPyXL that analyses data, writes formulas, generates charts, and prevents corruption.
How to Build an AI Email Assistant That Reads, Replies and Organises Emails
Build a secure AI email assistant in Python that classifies threads, extracts attachments, applies labels, and creates human-approved reply drafts via Gmail or IMAP.
How to Build an AI Meeting Assistant That Takes Notes and Tracks Action Items
Learn how to build an AI meeting assistant with Faster-Whisper, pyannote speaker diarisation, and LLMs to transcribe audio, extract action items, and sync calendars.
How to Build an AI Recruitment Agent That Screens Resumes and Shortlists Candidates
Learn how to build a fair, explainable AI recruitment agent in Python using Docling, Presidio PII masking, and hybrid skill matching to screen resumes.