Per-company rubrics
Google, Meta, Apple, Amazon, Netflix, Microsoft, Stripe, Airbnb, Uber, OpenAI — each has its own tuned rubric and question bank.
HelplyAI is the only AI interview helper with company-specific rubrics for every FAANG/MAANG. Pick the company, run mocks against their actual scoring rubric, then use the live AI in the real loop. Stealth mode, free plan, Mac & Windows.
Free plan · No card · Stealth on every interview platform
FAANG interviews (Facebook/Meta, Apple, Amazon, Netflix, Google), now often called MAANG, share a structure — recruiter screen, coding screens, onsite loop with system design + behavioral — but the rubrics couldn't be more different. Google scores Googleyness; Amazon scores Leadership Principles; Meta runs the Jedi behavioral; Netflix interviews on Keeper Test fit; Apple weighs craft and depth. A generic AI interview helper can't serve all of these — it produces the same answer style for every company.
HelplyAI is the only FAANG interview AI helper calibrated against each company's actual hiring rubric. Pick the company in the role panel and the AI primes its question banks, scoring rubrics, and answer styles for that company — STAR with a specific Leadership Principle for Amazon, Googleyness signals for Google, Jedi structure for Meta, Keeper-Test framing for Netflix, craft-depth narrative for Apple. The translucent overlay sits above your screen-share buffer so the interviewer never sees the AI's output.
Per-company deep-dives: Google · Amazon · Meta · Microsoft. Pair these with our coding interview AI, system design AI, and behavioral AI for full-loop coverage.
Google, Meta, Apple, Amazon, Netflix, Microsoft, Stripe, Airbnb, Uber, OpenAI — each has its own tuned rubric and question bank.
Two-pass solution generation: brute-force → optimal → stream-friendly variant. Complexity, edge cases, and trade-offs auto-narrated.
L5/L6/Staff-level designs: requirements clarification, capacity, sharding, replication, deep-dives, and trade-offs.
STAR with the right tag per company — Leadership Principle for Amazon, Googleyness signal for Google, Jedi for Meta.
Tested invisible on Google Meet, Zoom, Microsoft Teams, internal company UIs, HackerRank, CoderPad, Karat.
Free plan includes real-time AI in real interviews. No card, no time limit. Most candidates land FAANG offers without ever upgrading.
Google, Meta, Apple, Amazon, Netflix, Microsoft. The AI primes for that company's rubric.
Run 2-3 mocks per round (coding, system design, behavioral). Get rubric-style scoring.
In the real round, the AI listens, transcribes, and renders an answer in under 2 seconds. Invisible on screen-share.
FAANG candidates using HelplyAI report 2.4x higher onsite-to-offer rate.
Final Round AI, LockedIn AI, Sensei AI — all generic. HelplyAI is the only one calibrated against each FAANG hiring rubric.
Real-time AI on free. No credit card. No 5-minute trial. Daily mocks, daily resume tailoring, daily live answers.
Three years of overlay engineering. Tested invisible on every major interview platform and FAANG-internal tooling.
Resume → search → mock → answer generator → live AI — same login, same context, no copy-pasting.
Per-company rubrics · Real-time AI · Free plan · Stealth mode
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