Recent Updates

Estimated Book Launch Date

* Base on our drafts and progress, we are estimating that our book will be launched

First 10 Pre-orders—Done!

We’ve officially hit our first 10 pre-orders for SalaryScript! Thank you to everyone who jumped in early and showed their support. This milestone brings us one step closer to helping more engineers secure higher offers. Stay tuned—this is just the beginning!

Mapped Out Table of Content

We have successfully finished mapping out all the chapters and topics we would like to address in our book.

Introduction and Chapter 1 is complete.

500+ User Sign Ups

Wow! Over 500+ users have signed up for updates and pre-orders for our book launch.

Thank you to everyone who has supported us! This milestone brings us one step closer to delivering a resource that truly makes an impact.

First 100 User Sign Ups

We’re thrilled to share that over 100+ users have already signed up for updates and pre-orders for SalaryScript!

A heartfelt thank you to everyone who has shown their support so far. This incredible milestone motivates us even more to deliver a resource that helps engineers negotiate their best offers and achieve the salaries they deserve.

Stay tuned—this is just the beginning!

Landing Page Launched!

We’ve crafted a landing page to connect with readers excited about our book launch! Support us by pre-ordering or subscribing to our email list for updates on our progress.

Organized and Created the First Draft

We have created the first few pages for our book

Draft Details

1. Email templates scripts to reply to recruiters

2. How to avoid traps and info fishing from hiring managers

3. A few case studies from each engineer's experiences

4. Why you should always negotiate

Gathered Insightful Stories and Experiences from FAANG Engineers

We've collected stories, scripts and tips from FAANG and ex-FAANG engineers who had experience negotiated their salary for their job offers. This ranges from junior engineers to staff engineers who has worked Airbnb, Google, Meta, Uber and Amazon

Data Collected from 30+ interviews