Here is a web application that pulls a bunch of salary information from different sources, filters out outliers, then aggregates so you can see if you are paid high/low https://offers.wiki The goal is to make a website like Wikipedia where every offer is transparent. Here are some plans 1. Expand companies 2. Give tools to calculate upside and taxes of your startup offers. Will invest heavily on comparing your startup offers vs public company offers. 3. refresher, target bonus, cliff and vesting schedule per company 4. Offers outside of usa with native currency (india, singapore, europe etc) Comment next companies you want to see here. I can't pull reliable information on Amazon because Amazon's TC is signon heavy. Sorry about that. And this is all for free and will not have any ads. Not intended for monetary or commercial purposes
whats the difference to levels.fyi?
Differences are 1. Levels fyi does not have a distinction if bonus is target bonus or signon bonus. So TC is not accurate 2. They have a lot of different services but I just want to focus on offers and companies 3. They are not so friendly to startups. For example, if I get 10000 options at certain FMV and striking price, we don't really know what it means 4. Not meant to replace levels.fyi entirely. I personally thought it was difficult to compare offer information there but if you like levelsfyi more, you should use that.
Why only Google and Msft
Other companies coming soon. Wanted to get more feedback on which companies I should do first
Useless web tho
This is accurate, thanks for sharing. Ps, google really pays higher 😛
This is cool, similar to levels. Fyi from the perspective of someone looking to see if they are under paid and what they could be making elsewhere. Is the data more accurate?
Levels fyi is one of the sources we lookup. So it is more or less the same accuracy
How did you verify that the offer is authentic ? And how do you know the sources don’t overlap with each other ( example: someone put his 500k offer on multiple offer sites )
Deduplicated if the offers were in the same location, same base and stocks, same date