4 resources from Kruze Consulting we point founders to, and the questions each answers.
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Why we picked it
This is the worked walkthrough the question demands, not theory. It runs the exact scenario you fear: two SAFEs at different caps ($500K at $10M cap and $500K at $5M cap) converting at a $20M Series A, and shows the low-cap money buying twice the shares per dollar (1M shares vs 500K) so founders land ~3 points more diluted for the same money raised. It walks the conversion price math per SAFE, covers cap vs discount (investor takes whichever gives more shares), and hammers the point that the terms, not the dollars, are what dilute you. Free, no paywall, and specific enough to copy the numbers into your own model.
A low-cap SAFE converts to more shares per dollar, so $500K at a $5M cap costs you far more equity than $500K at a $10M cap even though it is the same cash
Each SAFE converts independently at its own cap or discount, whichever gives the investor more shares, so stacking compounds silently
The dilution is set the day you sign, not at the priced round, which is why you model the whole stack before signing the next one
Why we picked it
When neither founder has money, the honest question is not 'what is fair' but 'what can the company afford without starving you.' This report is built from real accounting data across hundreds of funded startups, broken down by stage, so it gives you a grounded reference instead of a gut guess. The figures are US benchmarks (scale them down hard for an Indian bootstrapped context), but the underlying logic (pay yourself enough to not make desperate decisions, not so much that you shorten runway) travels anywhere.
Founder pay should track your cash position and stage, not your title: pre-funding it is often close to zero, and it steps up only as you raise real money.
Paying yourself far too little is a real risk too, not virtue, since a founder under personal financial stress makes worse decisions and can burn out.
Use the stage-by-stage medians as a sanity check, then adjust down for your cost of living and runway rather than copying a US number.
Why we picked it
Kruze does startup finance and cap tables for a living, so this is the operator's take rather than a lawyer's summary. It shows the trap in one line: offer a $15M cap first, later grant a $9M cap to close a hard investor, and your MFN investors follow that $9M cap while your dilution runs well past your model. Its fix is concrete: build a simple cap-table model with multiple SAFE tranches, keep your cap-table software aligned with the actual signed documents, and limit MFN scope to cap and discount rather than every investor-favorable right.
An uncapped MFN-only SAFE quietly hands the early investor whatever your best future cap turns out to be, so treat it as a floating claim on your best terms, not a placeholder
Scope the MFN in the document itself to just cap and discount, otherwise later rights you grant anyone can leak back to earlier investors too
Keep your cap-table tool reconciled to the actual signed SAFEs; a model that ignores MFN language will understate your true post-conversion dilution
Why we picked it
This is the operator's manual for running an acqui-hire or asset sale when you are almost out of cash, which is exactly the low-leverage spot the question describes. Kruze does the accounting and wind-downs for hundreds of venture-backed startups, so the advice is specific: the deal will be an asset purchase (IP plus hires, no liabilities), you must move fast because recruiters are already calling your team, you should lock a non-solicit so the buyer cannot poach and walk, and you should expect a re-trade of 25 to 50 percent the longer it drags. It tells you the mechanics of getting to a soft landing before your leverage hits zero.
