The ADIN blog
Better questions. Clearer decisions.
Practical guides and worked examples for founders, angel investors, scouts, limited partners, and fund managers.
217 / Scouts
a developer infrastructure startup: Identify conflicts when a scout works with several funds, invests personally, advises the company, or receives another form of compensation.
Read the guide →218 / Fund managers
a pre-seed venture fund: Build an LP data room as an index of evidence for the fund's claims.
Read the guide →219 / Founders
AI code review tools: Compare customer cohorts using the same cost and revenue definitions.
Read the guide →220 / Angel investors
a climate software startup: Possible follow-ons create future decisions and cash demands, not guaranteed opportunities.
Read the guide →221 / Limited partners
a seed venture fund: Ask how reserves are sized, allocated, and revisited as evidence changes.
Read the guide →222 / Scouts
a climate software startup: Use feedback to improve relevance and evidence, not merely to chase a different pitch.
Read the guide →223 / Fund managers
a seed venture fund: Prepare references who can speak to specific relevant work, with their permission and without scripting an endorsement.
Read the guide →224 / Founders
AI developer APIs: Explain defensibility as a mechanism that can be investigated.
Read the guide →225 / Angel investors
a deep tech startup: Ask a syndicate lead who performs each diligence task, what information investors receive, and how the lead is compensated.
Read the guide →226 / Limited partners
an AI specialist venture fund: LP references should address specific behavior relevant to the proposed fund.
Read the guide →227 / Scouts
a deep tech startup: Maintain an evidence trail that records relationship context, consent, source dates, introductions, and milestone changes.
Read the guide →228 / Fund managers
an AI specialist venture fund: Explain operating responsibilities through actual work and authority.
Read the guide →229 / Founders
AI workflow automation: A pitch deck should explain the customer, problem, product, evidence, distribution, market assumptions, team, and next milestone.
Read the guide →230 / Angel investors
a healthcare software startup: Identify conflicts by mapping incentives and relationships around the deal.
Read the guide →231 / Limited partners
a sector specialist venture fund: Clarify the content, definitions, timing, and responsibility for fund reporting.
Read the guide →232 / Scouts
a healthcare software startup: Demonstrate domain knowledge through better questions, relevant evidence, and a clear account of uncertainty.
Read the guide →233 / Fund managers
a sector specialist venture fund: Track unresolved LP questions as an evidence workflow rather than a sales-pressure queue.
Read the guide →234 / Founders
AI analytics copilots: Ask for referrals after understanding why an early customer finds the product useful.
Read the guide →235 / Angel investors
an early marketplace startup: Examine traction metrics through their definition, denominator, period, and supporting records.
Read the guide →236 / Limited partners
a generalist venture fund: Key-person risk concerns continuity of judgment, relationships, and authority when a critical person cannot perform the expected role.
Read the guide →237 / Scouts
an early marketplace startup: A sourcing thesis explains which founders and problems a scout can encounter and understand through a real network.
Read the guide →238 / Fund managers
a generalist venture fund: Prepare evidence that lets an LP examine the fund's strategy, relevant experience, portfolio model, economics, and operating readiness.
Read the guide →239 / Founders
AI document processing: Contradictory interviews can reveal different segments, incentives, definitions, or contexts.
Read the guide →240 / Angel investors
a hardware startup: Useful investor updates connect progress, evidence, cash, and the decisions where help is needed.
Read the guide →