4 Things Founders Must Check Before Granting Stock Options to Early Team Members
Four legal and tax traps founders often miss before signing a stock option agreement.
OPENSEED · WIKI ARCHIVE
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Four legal and tax traps founders often miss before signing a stock option agreement.
Listing an advisor's name isn't enough — contract, contribution, and equity are all required.
Why a revenue model without payment unit, frequency, and pricing rationale reads as wishful thinking — not a plan.
A GTM section earns the label 'strategy' only when it shows per-channel budget and CAC assumptions — not just a channel list.
Wrong track, wrong documents from day one — this guide shows the legal divide between micro-business, tech startup, and venture.
How founders targeting government clients can rewrite three key business plan sections to fit public procurement realities.
The 4 review criteria franchise founders miss when using an independent startup plan format.
Why reviewers shake their heads at 'big pain point' — and a practical guide to rewriting your problem definition with real numbers.
For founders who want to avoid losing points on 3-year revenue forecasts — here's the financial structure reviewers actually look for.
A checklist of the legal items founders building sign-up and payment features most often leave out of their business plans.
A guide for founders who want to understand why a résumé-style team section gets penalized in reviews.
That number — 300 pre-signups — and why a reviewer stops at the very first line.
A self-diagnostic for founders whose market analysis is solid but whose business plan goes silent when a big tech company threatens to copy them.
Why AI-native startup education should teach a critique loop instead of ghostwriting business plans.
A stage-by-stage diagnostic guide for founders who talk about PMF in binary terms — and the evidence your business plan actually needs.
Why 'AI does everything' reads as a risk signal in a solo founder's plan, and what to write in the team section instead.
How founders who see opportunity in AI replacing professional work prove 'why now, why us' to reviewers.
How AI agent businesses facing data and liability regulation write risk into their plan as a source of trust.
Why a subscription or platform plan without a single LTV or CAC line gets docked immediately, and the minimum numbers to add.
Why a comparison table full of checkmarks costs points, and a four-step rewrite grounded in verified evidence.
A map of the point-losing patterns AI review keeps observing, for founders who never learn why they were rejected.
Three patterns that break the link between problem and solution in grant applications, with before-and-after fixes.
Why a plan with a sharp problem definition but no customer validation evidence loses points, and how to fill the gap.
Selection criteria for non-technical founders building an MVP with no-code tools instead of waiting for a CTO.
A validation sequence for founders who want proof of real demand from customer interviews and an MVP before building.
How to use the nine Lean Canvas boxes to separate hypotheses from facts before writing a business plan.
An early go-to-market approach: find the one channel that works before adding more, even with zero customers.
How to answer runway questions in numbers, covering burn rate and the default-alive test.
How vesting clauses prevent a co-founder who leaves at month six from walking away with 20% of the equity.
Why founders drafting plans with AI should surface the missing information before polishing the prose.
What a founder who froze on stage with an AI-written plan actually needs is understanding, not a better document.
What to know before trusting GPT's take on your business plan: it decides first, then attaches the evidence.
Why a business plan GPT wrote smoothly still gets screened out in review, and the order to verify it in.
Four ways to get business plan feedback before submission, compared by cost, speed, and objectivity.
A practical sequence for reviewing your business plan with AI when you're unsure how far to trust ChatGPT.
Four lines of defense for AI founders tired of the GPT-wrapper label, built from data and workflow instead of the model.