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AI for Job Search

Offer Evaluation

Offers rarely arrive as a clean choice. One pays more but the equity is illiquid and the strike price is high. One is remote but the team is in a timezone eight hours off. One has the better title and a manager who worried you in the interview. Comparing them properly means modelling four-year equity value, adjusting for cost of living, pricing the benefits, and then somehow weighing all of that against how much you want to be doing that work. Under a five-day deadline, most people skip the modelling and rationalise a feeling.

Skynet does the arithmetic and holds you to your own criteria. It normalises the packages, researches the parts the offer letter does not mention, and shows the comparison as a table rather than a nudge. It does not tell you what to take — it makes the tradeoff visible enough that the choice is yours to make honestly.

How it works

step 01

Write down what matters first

Before the numbers arrive: compensation, learning, the people, location, risk. Ranked. The agent holds it, so the criteria are the ones you set calmly rather than the ones you invent to justify a decision.

step 02

Normalise the packages

Base, bonus, equity modelled over four years, benefits priced, adjusted for cost of living. Assumptions stated openly so you can argue with them.

step 03

Research what is not in the letter

Public signals on the company — funding, growth, what people say about the team and about your prospective manager. Findings come with sources so you can weigh them yourself.

step 04

See the tradeoff plainly

One table, your criteria as rows. Where an offer wins and where it loses, and what you would be giving up in each direction.

Build it from a prompt

Give it both offers and the criteria you set before the pressure started.

You still make the call. But you make it with the equity actually modelled and your own stated priorities in front of you, which is the difference between a decision and a rationalisation.

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