The highest-intensity track

Electi Accelerator.

1:1 Mentorship with deferred payment.

The highest-intensity track for engineers aiming for L4/L5+ roles at Google, Meta, and top-tier global firms. Partner with a personal mentor to navigate the technical and behavioral loops.

High-precision partnership.

The Accelerator is built on a deferred payment model. We invest our time upfront; you pay the bulk of the cost only when you succeed.

Dedicated FAANG Mentor

From 2 private 1:1 sessions per month during the Active Phase. Work directly with seniors from Google and Meta.

Custom Engineering Roadmap

No generic tasks. Your mentor builds a plan focused on your specific gaps: Advanced DSA, System Design, or Behavioral leadership.

Performance Infrastructure

Access our proprietary platform to track your technical velocity, benchmark your progress, and manage your preparation data.

The Deployment Phase

After the 6-month intensive, we move to the final sprint: direct referrals, interview drills, and high-stakes salary negotiation.

Mentor Pedigree.

Your mentor is someone who has already cleared the loop at the most competitive companies in the world.

Vladimir

Vladimir

Backend Engineer @Meta

London, UK

Ex-AmazonEx-The Trade Desk

Backend engineer specializing in low-latency systems and performance optimization. At The Trade Desk, he worked on bidding algorithms at 10M+ QPS, designed services processing hundreds of TBs daily, and drove infra cost reduction through low-level optimizations. Previously at Amazon improving availability of high-throughput Prime Video services.

Sultan

Sultan

Software Engineer @Meta

London, UK

Bloomberg LondonBloomberg NYGoogle Kraków

Full-stack engineer with a textbook Big Tech arc: rejected by Meta and Yandex in Year 1, he doubled down on algorithms and LeetCode. Within a year: Bloomberg London → Bloomberg NY → Google Kraków → offers from Meta, Google, and Bloomberg — all in London.

I wasn't an olympiad winner, didn't get straight A's, and wasn't the smartest. But at some point I had a strong desire to become better. I put in a lot of effort and that opened many doors.
Timur

Timur

Engineering Manager @Google

London, UK

Ex-MetaEx-Booking.com

Leads a mobile product team at Google London. Each career move — from Booking.com to Meta to Google — was a deliberate bet on growth. Chose London for its dense tech ecosystem and the calibre of engineers around him.

Preparation should become a habit. What matters most is the candidate's inner drive to constantly improve.
2 active FAANG-tier interviews

Real progress. In their own words.

Messages from students currently in the program.

Before this I could barely solve algorithm problems, my background was mostly ML and SQL. Now I'm getting through every topic we cover. The mock interview part especially. And I manage to combine it with full-time work.

Shokhrukh

Foundation · Month 2

If you already know some DSA it moves fast, which is good. The only hard part is finding time when you work and study simultaneously. But the intensity, that's exactly the point.

Yernur

Foundation student

Main thing I'm realizing: I need to stop relying on test runs to debug, interviews don't allow that. Mentor caught that gap before I even noticed it. Algorithm stage feels close to handled now.

Galym

Accelerator student

Netflix Interview · Revolut Interview

3 months in and I'm already in interview loops at Netflix and Revolut. First time doing a FAANG-style interview. My mentor called the exact problem that came up in the coding round. I just executed what we practiced.

R

Roma

Accelerator · Month 3

Structure & Velocity.

We divide the year into two distinct phases to ensure you aren't just "learning," but "landing."

Months 1–6

Active Sprint

  • From 2 personal sessions/mo (Technical deep dives & Mock interviews)
  • Rigorous DSA pattern mastery (Hard level)
  • System Design architecture for distributed systems
  • Refinement of behavioral stories (STAR method/Leadership Principles)
Months 7–12

Placement & Support

  • Strategic Job Application support
  • Direct referrals via our mentor and alumni network
  • Peer-to-peer mock interview loops
  • Professional salary negotiation to maximize your total compensation

Your career, in numbers

See how your preparation pays off in your first year after getting hired.

Using default $10,800/yr (approx $900/mo)

You invest$17,548total
First-year salary increase+$149,200
Your net upside
+$131,652
After deducting all training costs

Estimates are based on public market salary data and typical preparation timelines. Your actual result depends on your experience and effort.

Risk-aligned pricing.

Our business model depends on your employment. We take the risk with you.

Most Popular

Accelerator

For engineers who want personal mentorship and faster progress.

$299/mo

+10% Success Fee.

  • From 2 one-on-one mentor sessions per month
  • Fully personalized preparation plan
  • Mock interviews with feedback
  • Resume and application strategy
  • Coding + system design curriculum
  • Progress tracking platform
  • Private community access

How Success Fee works

Success Fee means we win only when you win.

You pay a percentage of your first-year salary only after you accept a job offer.

This model ensures our goals are perfectly aligned. We invest in your potential, and we only see a return when you succeed.

Why we use this model

  • It lowers your upfront cost
  • It aligns our incentives with your result
  • Train with top mentors without full price

How it works

1

You prepare with mentors

2

You get an offer

3

Pay only after signing

No payments if

  • You do not get hired
  • You stop before reaching interviews

You choose how to pay

  • Low monthly payment + Success Fee
  • Higher monthly payment + 0% Success Fee
Same mentorship. Different payment timing.

FAQ