It hears the interviewer, drafts the answer as the question lands, and puts it where only you can see it. Short enough to use mid-sentence.
I’ll assume a hundred million new links a month, reads ten to one over writes, and a p99 under 100 milliseconds on the redirect. The headline is a stateless redirect service over a key-value store, with an in-memory cache and CDN edge caching for the hot codes.
Your microphone and the system audio are captured as two channels, so the interviewer and you appear as separate, labelled bubbles. Each bubble updates in place as the words arrive and locks when the sentence ends. Live transcription runs in 40+ languages, including bilingual pairs.
Every answer has a fixed shape so you never have to read to find the point. Scan is 3–5 bullets of eight words or fewer, the direct answer first. Say is the same answer as 50–90 words of first-person prose. Coding questions get Say · Code · Explain; system design gets Design · Say · Trade-offs; behavioral questions get four STAR beats and a 90–130-word story.
One click on any answer adds 250–350 words that add the two insights that matter most, and never restates the original. In a system-design round, each Go Deeper expands the next stage the interviewer will ask about, in the order they ask it: requirements, API, data model, components, storage, scaling, failure modes. ML designs follow their own ladder from data and labels through serving and evaluation.
Cmd/Ctrl+Shift+S captures the screen. A coding problem in the editor comes back as a one-line approach to say, a full runnable solution in the language on screen, and a two-bullet explanation with the complexity. A diagram or a design prompt gets the design walkthrough. Screenshots are processed and discarded.
def two_sum(nums, target):
# one pass: value -> index
seen = {}
for i, n in enumerate(nums):
if target - n in seen:
return [seen[target - n], i]
seen[n] = iUpload files once and they become reference material for every answer. Set the company, role, and round type when you start a session; they never leak from a previous one. Answers are calibrated to your seniority and never claim an employer or project that is not in your material.
Sessions are saved to your local history with their transcript. When you end it, you get a recap of what came up, a score out of 10 with one-line call-outs on clarity, depth, and structure, and what to tighten next time. Pro lets you pick the model per session.
It uses the operating system’s own exclusion (NSWindow sharingType on macOS, SetWindowDisplayAffinity on Windows), so it never appears in a shared screen or a recording. It stays out of the taskbar, can be dimmed to a whisper, and can pass clicks straight through.
Live answers as the interviewer talks. Scan bullets to glance at, Say prose to read aloud.
Learn more →An AI interviewer asks one question at a time and scores each answer out of 10.
Learn more →Key points for the moment during a work call, then a recap with action items.
Learn more →Cmd on macOS, Ctrl on Windows. The four global ones fire even while Zoom has focus.
Free to download. Ten minutes of live transcription a day on the free plan; Pro removes the caps.