Your Path toBig Tech Engineering
Get personalized mentorship, mock interviews, and referrals to land your dream job.
Carefully chosen mentors to guide and support you
Job application support & referrals
Mock interview preparation
Resume prep and improvements
Community of likeminded engineers
How it works
From practice to placement in three steps.
Platform & Analytics
Start by finding your blind spots. The platform analyzes your solving speed and patterns to create a personalized plan.
Technical Foundation
5 months of deep dive into algorithms. Solve 15-20 problems per week focusing on patterns, from Arrays to Dynamic Programming.
System Design
Move from code to architecture. Learn scaling, load balancers, and databases using real-world cases.
Resume & Behavioral
Package your experience for ATS, prepare STAR format stories, and conduct regular peer-to-peer mock interviews.
Deployment Strategy
Build an effective mass-apply strategy. We help with applications, interview prep, and salary negotiation to maximize your offer.
Track every rep. Know when you're ready.
Most engineers prep blind. Electi gives you a real-time pulse on your velocity, pattern gaps, and interview readiness.
Dashboard
Week 8Problems Solved
0
Mock Interviews
0
Readiness Score
0%
Weekly Solving Velocity
Pattern Coverage
Recent Mock Interviews
View all →Velocity Tracking
See your solving speed improve week over week. Know when you're accelerating — and when to push harder.
Pattern Gap Analysis
Automatically identifies which algorithm patterns need more practice before your next interview.
Interview Readiness Score
A single number that tells you exactly when you're ready to start applying. No guesswork.
Everything you need for an offer. In one place.
Not just a problem bank. A full-fledged platform with AI analytics, job tracker, CV review, and continuous mentor connection.
Data-driven readiness
Forget 'feelings'. The platform tracks your First-try rate, activity streak, and readiness score. AI generates weekly reports on your blind spots.
Interview Readiness
First Try Rate
76%
Focus on Dynamic Programming this week. Priority: High.
CV & Behavioral
Upload a PDF and write STAR stories. Your mentor leaves pinpoint comments on every line right in the platform.
Experience section
Add more metrics to this bullet point. What was the impact?
Bot in your pocket
At 8:00 and 21:00 the bot sends your daily plan. You always know what to do next.
Good morning! Plan for today: 1. 2 Trees problems 2. Review System Design
Job Applications Tracker
We built a CRM for your job search. Track statuses (OA, Phone Screen, Tech), referrals, and notes right inside the platform.
Apple
Software Engineer
Backend SWE
Progress that is impossible to ignore
Every solved problem. Every mentor call. Everything is tracked. You see your growth in real numbers.
Steps inside pattern
34 problems · Level 4
84%
mastered
Two Sum & Variants
Solving fast
Group Anagrams
Slight delays with HashSet
Top K Elements
Next step. Platform picked it for you.
What this means for you
Group Anagrams takes 30% longer. This is a signal. Next 2 tasks target exactly this spot.
Mentor Pedigree.
Your mentor is someone who has already cleared the loop at the most competitive companies in the world.
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.”
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.”
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.
14:02If 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.
15:45Main 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.
18:303 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.
20:15Before 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.
14:02If 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.
15:45Main 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.
18:303 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.
20:15Before 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.
14:02If 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.
15:45Main 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.
18:303 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.
20:15Before 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.
14:02If 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.
15:45Main 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.
18:303 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.
20:15If you've solved 300 problems, but still aren't sure if you're ready.
Most people fail not because of knowledge. They simply don't know their blind spots. The platform makes it visible.
Typical prep
A lot of problems. Zero clarity.
Solving problems. Not knowing why.
300 problems done. Ready? Unknown.
Making same mistakes. Nobody tells you why.
Algo, systems, behavioral. All at once. Chaos.
Your 'progress'
Activity exists. Clarity doesn't.
With Electi
Full picture. After every call.
See exactly where the gap is. By zones, not feelings.
After every session, the picture updates.
AI and mentor work together. One sees pattern, other explains.
Know what to prep. No guessing.
Your track
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)
Estimates are based on public market salary data and typical preparation timelines. Your actual result depends on your experience and effort.
Pricing
Choose the level of support designed for your ambition.
Foundation
Popular choice for building confidence & core skills.
- 1 workshop per week with material deep dives
- Bi-weekly personal written feedback from your dedicated mentor
- Access to private Electi community & mentor group chat
- Behavioral interview preparation
- Job application support & referrals
Accelerator
For engineers who want personal mentorship and faster progress.
+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
Accelerator Upfront
For engineers who want to keep 100% of their future salary.
0% Success Fee.
- Everything in Accelerator
- No future income sharing
- Best long-term value
- Priority mentor matching
Interview Sprint
Invite-only plan for interview-ready engineers.
Performance based. 15% Success Fee.
- Mock interview focus
- Immediate referral network access
- Strict technical screening required
- Pay only when hired