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.
OpenSeed auto-fills K-Startup application forms from your analysis report — here's what to check before submitting.
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.
A guide to consent, sharing scope, and revocation for founders who want to share their plan with investors.
Wrong track, wrong documents from day one — this guide shows the legal divide between micro-business, tech startup, and venture.
Why market evidence without academic sources can lose points in AI review, and practical ways to use KCI.
Compare slide-ordering principles found in three public seed decks with the changes needed when applying them to a PSST business plan.
How to upload your business plan PDF and program announcement PDF together to check program eligibility in one step.
A breakdown of the risk evidence founders in regulated industries need to prepare before reviewers ever ask.
When four AIs disagree on the same section, here's how to turn that split into a revision priority.
Mentors scan diagrams before numbers — here's how OpenSeed's visualizations are structured and what numerical checkpoints they flag.
How founders targeting government clients can rewrite three key business plan sections to fit public procurement realities.
How to use the Deep Report revisit feature to capture and act on reviewer comments.
Why your score doesn't improve after resubmission — and how to use the resubmission comparison feature effectively.
The 4 review criteria franchise founders miss when using an independent startup plan format.
Can you execute? Can you reach customers? Here's why OpenSeed evaluates these as two separate questions — and how to strengthen both.
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.
How to use OpenSeed's self-audit tool to catch missed business plan items in under 3 minutes before you submit.
Never miss a closing program again — see your business plan's fit score and the deadline countdown on one screen.
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 problem definition, abstraction, and verification remain the core of computer science even when AI writes the code.
Why reading, critique, and taste outlast prompting as the skills that matter for developers and founders.
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 your valuation comes back as bear, base, and bull ranges instead of a single number, and how to read them.
How to start an analysis from a single Notion or Google Docs link, with no copy-pasting of your business plan.
Why the review uses several specialist mentors looking separately instead of one AI writing a single verdict.
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.