SUPERLAY#1Undetectable AI
on top of every meeting.

An invisible AI layer that listens, thinks, and responds with you in real time.

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Assistant for

Interviews

Live Transcript

1
Start the Conversation
Click the main Listen button to begin real-time transcription.
2
View Live Insights
Click the Show Insights (▼) button at the top of this panel to see AI analysis.
3
Analyze After the Call
After stopping, buttons for Save Meeting, Follow-up Email and Ask a Question will appear here.

Click Listen to activate your AI assistant.

AI Interaction Features

Custom AI PersonasClick Settings > Add Profile to give the AI custom rules.

Real-time InsightsLive suggestions and fact-checks based on the conversation.

Ask AI AnythingOpen a chat panel to ask about the transcript or anything else.

Screen Content AnalysisCapture screen text/images and let AI extract & analyze data.

Post-Meeting AnalysisClick Summarize to get a full breakdown of your recent call.

Power ShortcutsUse Alt+A, Ctrl+Arrows, ⌥ + A; etc. for quick actions.

TranscribeSummarizeVisionInsightsPersonasContextsuperlayAnalyzeAction itemsSuggestionsTranscribeSummarizeVisionInsightsPersonasContextAnalyzeAction itemsSuggestions

Invisible to Screen Sharing

Superlay stays off shared screens, meeting recordings, and external meeting tools.

Zoom

Google Meet

Teams

Webex

Slack

Discord

AI Assistants for Every Need

Choose a preset assistant or create your own custom prompt for any meeting.

Custom Prompt

Start from scratch and write your own instructions to define the AI's personality, rules, and goals.

Interview Assistant

Delivers real-time technical answers, coding logic, and structured behavioral responses (STAR method) to help you ace live interviews.

Recruiting Assistant

Enhances interviewing skills, suggests follow-up questions, fact-checks, and clarifies technical concepts in real-time.

Sales Advisor

Helps identify buying signals, suggests strategic questions, frames product value, and handles objections in real-time.

Meeting Assistant

Ensures efficient meetings by capturing action items, identifying risks, summarizing decisions, and keeping discussions focused.

Support Assistant

Helps support agents diagnose issues, suggest solutions, pull knowledge, and de-escalate customer interactions.

Advanced Customization

Beyond PresetsDesign Your Own
AI Persona

Want a strict interviewer, a sales expert, or a support engineer? Define exactly how Superlay should behave. No limits. Total control.

Open Profile Settings

Go to settings and click on 'Add Profile' to create a new AI persona.

Select Custom Prompt

Choose the 'Custom Prompt' card to use the advanced editor.

Define the Persona

Write your tone, rules, constraints, and personality. Superlay will follow them exactly.

Define AI Persona

System Instructions

// Example: Senior Java Developer

You are a Senior Java Developer specializing in enterprise applications, Spring Boot, microservices, performance tuning, and cloud-native architecture.

Goal: Help me answer Java and backend engineering interview questions clearly, with emphasis on clean code, design patterns, JVM insights, and scalable architecture.

Rules:
1. Focus on Java fundamentals, OOP, JVM memory model, and Spring ecosystem.
2. Use clean, production-quality Java code in examples.
3. Explain pros/cons and performance tradeoffs.
4. Keep responses concise (2–3 sentences).
5. Suggest best practices when useful.

Everything You Need

Superlay gives you a competitive edge in any meeting, call, or lecture with a suite of intelligent tools.

Real-time Meeting Co-Pilot

Get live insights, suggested questions, and action item tracking while you talk, without anyone knowing.

Visual Intelligence Engine

Let the AI analyze your screen to solve code challenges, explain complex graphs, or extract key data from any content.

Automated Post-Meeting Workflow

Instantly generate detailed summaries, draft professional follow-up emails, and export transcripts in one click.

Secure & Silent Recording

Silently captures both mic and system audio without ever joining your call as a bot. All data is processed securely.

Private Meeting Dashboard

A central, searchable hub for all your saved meetings, transcripts, and AI-generated summaries.

Native Desktop Performance

Built natively for both Windows and Mac for high performance, reliability, and seamless integration.

Understand What’s on Screen Instantly

Instantly solve coding problems, extract data from charts, or understand complex documents. Superlay sees what you see and provides answers in real-time.

A desktop monitor displaying lines of code.

Analyzing Screen...

Here is an analysis of the coding challenge on screen:

The most efficient approach for this "Two Sum" problem is to use a hash map for a single-pass solution with O(n) time complexity.

Solution:

def find_two_sum(nums, target):
  seen = {}
  for i, num in enumerate(nums):
    complement = target - num
    if complement in seen:
      return [seen[complement], i]
    seen[num] = i
  return []

Explanation: This code iterates through the list once. For each number, it calculates the required complement and checks if that value has already been seen. If so, a solution is found.

Don't just record meetings.
Understand them.

Superlay runs invisibly in the background, turning chaotic conversations into structured data in real-time.

Instant Context

Zoned out? Superlay summarizes key points live, so you always know exactly what's being discussed.

Zero-Effort Actions

Action items are detected and listed automatically. Never miss a deadline or forget a commitment.

Smart Suggestions

Get AI-generated follow-up questions to drive the conversation forward and uncover deeper insights.

Superhuman Hearing

An ultra-low latency acoustic engine with real-time speaker separation. Captures complex technical jargon, regional accents, and high-tempo dialogue with 99.4% accuracy.

Real-Time Audio Capture

Ultra-Low Latency Streaming Engine

250ms

Response time

Transcription at the speed of conversation.

Test Superlay against any competitor.

Supports 32 Global LanguagesAuto-Detect

English

Spanish

French

German

Japanese

Mandarin

Hindi

Arabic

Portuguese

Italian

Dutch

Korean (한국어)

Swedish

Turkish

Danish

Norwegian

Finnish

Vietnamese

Hebrew (עברית)

Afrikaans

Catalan (Català)

Cantonese (廣東話)

Russian (Русский)

Romanian (Română)

Urdu (اردو)

Estonian (Eesti)

Persian (فارسی)

Marathi (मराठी)

Norwegian Nynorsk (Nynorsk)

Galician (Galego)

Xhosa (isiXhosa)

Zulu (isiZulu)

Live Speaker Diarization

Automatically identifies each speaker and keeps conversations accurately separated in real time.

Sarah Jenkins (VP Eng)

10:02 AM

Let's review the Q4 architecture plan for high-throughput stream processing.

Dr. Marcus Vance

10:02 AM

We completed the sharding benchmarks. Latency dropped to sub-15ms under 5M RPS load.

Elena Rostova (Architect)

10:03 AM

Are we deploying the Raft consensus cluster to Europe-West first?

Maya Chen (DevOps)

10:04 AM

Yes, synthetic probes are green across all multi-cloud regions.

Alex Mercer (Active)

Perfect. Let's initiate the 10% canary traffic ramp tonight as planned...|

Instant Summaries & Transcripts

Every conversation is automatically transcribed and formatted into structured executive summaries, key discussion points, and open questions in real time.

Saved Meetings

8/29/2026 04:01 PM

Podcast Interview - AI & Distributed Systems

Duration: 48 mins

8/29/2026 12:19 AM

Online Class - Distributed Consensus & Raft

Duration: 52 mins

8/27/2026 11:13 PM

Standup Meeting - Sprint 24 Sync & Deploy

Duration: 15 mins

8/25/2026 01:39 AM

Technical Interview - Staff Systems Engineer

Duration: 45 mins

8/25/2026 01:21 AM

Sales Discovery - Enterprise Cloud AI Integration

Duration: 32 mins

8/25/2026 01:18 AM

1:1 Weekly Sync - Product Design & Roadmap

Duration: 25 mins

Podcast Interview - Ep. 42: Next-Gen AI & Distributed Systems

Duration: 48 mins

Live Notes

MEETING SUMMARY

Executive Summary

In-depth discussion exploring the paradigm shift from single-model LLM interfaces to asynchronous multi-agent coordination architectures.
Dr. Vance highlighted that latency bottlenecks are shifting from model token generation to inter-agent state synchronization and consensus protocols.
The conversation covered production deployments scaling to over 10M concurrent user sessions with sub-250ms conversational response times.

Progress & Updates

Detailed how local in-memory semantic caching prevents duplicate model inference calls, achieving a 41.8% hit ratio and 42% reduction in cloud compute costs.
Explored hierarchical token-bucket rate limiting for multi-tenant AI pipelines to eliminate noisy-neighbor GPU queue saturation.
Addressed fallback strategies during network partitions under CAP theorem, prioritizing graceful local approximation over request blocking.
Discussed real-time diarization and voice stream chunking directly in browser memory without sending unencrypted audio to external servers.

Open Questions

When will the open-source benchmarks for the multi-agent consensus engine be published to the GitHub repository?
What are the primary telemetry metrics recommended for tracking semantic drift across continuous model iterations?

Key Data & Metrics

Average Voice Inference Latency: < 250ms end-to-end.
Semantic Cache Hit Ratio: 41.8% on repetitive query clusters.
GPU Cost Optimization: 42% cloud infrastructure cost reduction.
Podcast Recording Length: 48 minutes 12 seconds with 99.4% transcription accuracy.

Smart Notebook

The Smartest
Notebook

Superlay doesn't just transcribe — it organizes. It creates a structured, interactive notebook for every meeting automatically.

Intelligent Formatting
Automatically structures the conversation with clear headings and key terms.
Task Detection
The AI flags action items (✅) and complex topics (⚠️) instantly.
Auto-Pilot Mode
Continuously generates notes in the background without manual input.

Java 101: Lecture Notes

Just now

Recording

Intro to OOP

Professor is discussing **Object-Oriented Programming (OOP)**. Fundamental for modern Java dev.

Core Concepts

Encapsulation: Bundling data & methods.

Inheritance: Subclass inherits properties.

Polymorphism: Object takes many forms.

Action Items

✅ Assignment 3: Implement 'Car' class.

⚠️ Exam: Focus on Polymorphism examples.

Keyboard Shortcuts

Control every feature with speed and precision.

AltX

⌥X

Toggle UI Visibility

Instantly hide or show the entire SUPERLAY interface to focus on your work without closing the app.

AltA

⌥A

Ask SUPERLAY

Trigger the AI to get instant suggestions based on the latest part of the conversation.

AltF

⌥F

Mic On/Off

Quickly toggle your microphone input on or off.

CtrlAltC

⌘⌥C

Capture & Analyze Screen

Get an AI-powered analysis, explanation, or solution for any content currently visible on your screen.

Shift←/→

⌘←/→

Move Toolbar

Quickly reposition the main toolbar left or right on your screen to keep your workspace clear.

Ctrl↑/↓

⌘↑/↓

Scroll Panels

Easily scroll through content in the AI answer panel or conversation history without using your mouse.

SUPERLAY#1Undetectable AI on top of every meeting.