Go to Market Strategy Template for VC Investment Memos
A one-page go to market strategy template written for the investor reading the deck: seven lines, the questions behind each, and the red flags to record.
A one-page go to market strategy template written for the investor reading the deck: seven lines, the questions behind each, and the red flags to record.
Five market segmentation examples, from geographic to behavioral, showing how a VC analyst tests a TAM claim and writes the result into an IC memo.
What a cap table contains, how dilution and the option pool shuffle change ownership, and which red flags a VC analyst should check before the IC memo.
A porters five forces analysis for VC deal screening: define the market, score each force with evidence, and turn the page into the next diligence question.
A worked cap table example across Seed and Series A, read as a VC analyst would: option pool, dilution, fully diluted checks and who gets paid in an $18M exit.
Most guides compare convertible notes and SAFEs from the founder's chair. This one reads the same instruments from the investor's side: dilution model, maturity risk, and IC memo structure.
What European VC analysts actually screen for at Series A in 2026: ARR thresholds, NRR floors, burn multiples, and the qualitative signals that move a deal from pipeline to partner meeting.
What a term sheet covers, why liquidation preference structure matters more than the multiple, and how EU deals differ from US term sheets.
Most market research methods in early-stage VC are built for the wrong moment. A practical sequencing framework for 2-4 person European funds with limited time per deal.
The PDT rule changed in 2026. Day trading for beginners now starts at $2k. Still, 70% fail in year one. Here is what actually holds up.
What AI coding agents do, which tools fit a small fund workflow, and how to diligence the startups building them.
A practical guide to audience research for early-stage VC due diligence: methods, AI tools, and what an IC memo should actually say about market evidence.
What VC analysts and LPs need to understand about AI quantitative trading: the real strategy stack, genuine returns, and red flags in a pitch deck.
Seven AI agent examples already running inside early-stage VC deal teams, from sourcing to IC memo drafts, with what each one actually saves an analyst.
Paper trading simulates live market conditions with virtual money. Used well, it builds execution discipline. Used poorly, it builds false confidence. Here is how to tell the difference.