Profitable Raise Ask: Name the Constraint, Show Proof, Size the Step
A profitable company should raise against a named capacity constraint, with proof of demand and a round size tied to that proof.
Funding
Raising money without losing the plot.
Make an Extension Read Like Capacity
A round extension works best when it names the capital, a landed customer win, and the specific use of proceeds that win opens.
Line Up Three Numbers Before Naming a Valuation Ask
Before you name a number, line up your ARR multiple, implied re-rate, and retention proof so the ask is defensible.
Crusoe's $30.9B round: how to price your next term sheet by layer, not headline
Crusoe's $3.9B Series F prices contracted compute, not the whole venture market; benchmark your layer before accepting a headline comp.
Size Your Next Round in a Barbell Market
When headline funding is inflated by mega rounds, target the median deal, compress the timeline, and use concentration to time the open and set terms.
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Set a Defensible Round Price When Mega-Rounds Distort the Market
Before asking for a higher valuation, run a three-question test: falling unit costs, strategic validation, and category-wide capital.
Cost-per-Model and Cost-per-Token Math That Defends an AI Valuation
Build a defensible AI round from model build cost, output-token cost, and capital left for the next generation.
How to price independence before a strategic investor becomes your buyer
Treat a strategic investor’s open-platform promises as negotiable terms, because the same buyer may later decide what your company is worth.
Before You Raise: The AI Adoption Audit
A three-point pre-raise audit that turns AI spend from a burn question into a defensible bet.
Pricing a strategic anchor investor: the Boring Company case
Treat a strategic anchor investor as financing plus customer concentration, then price the demand it creates before signing.
Build-vs-Rent AI: Harvey's $550M Round as a Test
A five-question build-vs-rent test for founders, using Harvey's $550M round to weigh API dependency, margins, and switching risk.
Founder Equity Split: Set It Before the Raise
Score contribution, risk, and future role, then add vesting and a dilution model before term sheets arrive.
How to Read a SAFE: Cap, Discount, Speed
A SAFE trades legal speed for future ownership, and the cap and discount decide how much of that trade you accept.
How to Read Founder Vesting and Protect Equity
Audit pre-vested shares, cliff length, acceleration, leaver terms, and where they live before signing founder vesting in an early round.
How to raise a seed round that proves the business, not just the idea
A practical seed round checklist for founders: size the raise, prove product-market fit, build a growth lever, and prepare a credible path to Series A.
Cap Table Checklist: Shares, Options, and SAFE Conversions
A pre-raise cap table checklist for founders: log shares, options, preferred, SAFEs, and notes, mark conversion timing, and estimate dilution.
The 409A Refresh Rule: Set Option Prices Without Employee Penalties
A current valuation is the cheapest way to keep option grants defensible, protect employees from tax surprises, and preserve your audit position.
Lock the Convertible Note Terms Before Issuing
A pre-issuance checklist for founders: set interest, maturity, conversion triggers, default recovery, and fallback terms before a convertible note turns into debt.
Run a five-question trade-shock stress test before a raise or expansion
A five-question checklist for founders pricing tariff risk, counter-tariffs, and legal reversals into a raise or expansion.
Vet a Crypto Exchange: Binance's $15.7B Inflow Test
A large exchange's inflow spike is a liquidity signal, not a safety endorsement; founders should keep custody and compliance under their own control.
Apate's $11.4M Seed: A Test for Offensive Fraud Defense
The source reads Apate.AI's $11.4M seed and US move as investor interest in offensive fraud defense, and a five-point test can judge yours.
How to Justify a $90M Seed in Physical AI
A $90M seed is defensible when the disclosed plan ties the money to simulation, data capture, and deployment loops that make robots trainable.