The chat that heard
the whole call

Ask what they just meant, what to say next or what is on your screen. The answer comes back in seconds, in an overlay only you can see.

Get for Windows

Q4 roadmap review

Decisions

Move the launch deadline to Oct 15
Calendar sync ships before the holiday freeze

Action items

Send the contract to legal
Share the pricing draft by Friday
Book the design review for next week

Open questions

Who owns the onboarding emails?

Zoom

Google Meet

Microsoft Teams

Slack

Listening · 12:04

Technical Interview

OCT14

Final interview

OCT15

Sales demo

OCT16

Team standup

Recap

Clarify

resume.pdf

job-description.pdf

pricing-notes.md

⌘1What to answer

⌘2Clarify

⌘3Recap

⌘4Follow up

Looking for Work

Sales Mode

Slack

Discord

Webex

Zoom

Auto Answer

Heard

A query that was fast last month now takes four seconds. Where do you start?

Answer

I'd start with the query plan. Run EXPLAIN on it and see whether it has fallen back to a full table scan, because usually the table has grown past the point where a missing index stopped being free. Then I'd check how much it reads against how much it returns. If the page shows twenty rows and the query reads a hundred thousand, the fix is the query, not the hardware. I'd only look at caching once the query itself is right.

OCT16

Team standup

OCT17

Design review

OCT20

Customer call

Listening · 12:04

General

OCT15

Sales demo

OCT16

Team standup

OCT17

Design review

Auto Answer

Heard

A query that was fast last month now takes four seconds. Where do you start?

Answer

I'd start with the query plan. Run EXPLAIN on it and see whether it has fallen back to a full table scan, because usually the table has grown past the point where a missing index stopped being free. Then I'd check how much it reads against how much it returns. If the page shows twenty rows and the query reads a hundred thousand, the fix is the query, not the hardware. I'd only look at caching once the query itself is right.

resume.pdf

job-description.pdf

pricing-notes.md

⌘3Recap

⌘4Follow up

⌘BHide overlay

⌘HScreenshot

Lecture Mode

Recap

Google Meet

Microsoft Teams

Slack

Discord

Recruiting

Listening · 12:04

⌘2Clarify

⌘3Recap

⌘4Follow up

⌘BHide overlay

Discord

Webex

Zoom

Google Meet

Final round interview

Asked

Design a rate limiter for a public API
Tell me about a time you disagreed with your manager

Follow up

Send the take-home by Thursday
Thank-you note to the hiring manager

Notes

Team runs on two-week cycles
On-call one week in six

OCT17

Design review

OCT20

Customer call

OCT14

Final interview

Clarify

Seminar

Q4 roadmap review

Decisions

Move the launch deadline to Oct 15
Calendar sync ships before the holiday freeze

Action items

Send the contract to legal
Share the pricing draft by Friday
Book the design review for next week

Open questions

Who owns the onboarding emails?

Zoom

Google Meet

Microsoft Teams

Slack

Listening · 12:04

Technical Interview

OCT14

Final interview

OCT15

Sales demo

OCT16

Team standup

Recap

Clarify

resume.pdf

job-description.pdf

pricing-notes.md

⌘1What to answer

⌘2Clarify

⌘3Recap

⌘4Follow up

Looking for Work

Sales Mode

Slack

Discord

Webex

Zoom

Auto Answer

Heard

A query that was fast last month now takes four seconds. Where do you start?

Answer

I'd start with the query plan. Run EXPLAIN on it and see whether it has fallen back to a full table scan, because usually the table has grown past the point where a missing index stopped being free. Then I'd check how much it reads against how much it returns. If the page shows twenty rows and the query reads a hundred thousand, the fix is the query, not the hardware. I'd only look at caching once the query itself is right.

OCT16

Team standup

OCT17

Design review

OCT20

Customer call

Listening · 12:04

General

OCT15

Sales demo

OCT16

Team standup

OCT17

Design review

Auto Answer

Heard

A query that was fast last month now takes four seconds. Where do you start?

Answer

I'd start with the query plan. Run EXPLAIN on it and see whether it has fallen back to a full table scan, because usually the table has grown past the point where a missing index stopped being free. Then I'd check how much it reads against how much it returns. If the page shows twenty rows and the query reads a hundred thousand, the fix is the query, not the hardware. I'd only look at caching once the query itself is right.

resume.pdf

job-description.pdf

pricing-notes.md

⌘3Recap

⌘4Follow up

⌘BHide overlay

⌘HScreenshot

Lecture Mode

Recap

Google Meet

Microsoft Teams

Slack

Discord

Recruiting

Listening · 12:04

⌘2Clarify

⌘3Recap

⌘4Follow up

⌘BHide overlay

Discord

Webex

Zoom

Google Meet

Final round interview

Asked

Design a rate limiter for a public API
Tell me about a time you disagreed with your manager

Follow up

Send the take-home by Thursday
Thank-you note to the hiring manager

Notes

Team runs on two-week cycles
On-call one week in six

OCT17

Design review

OCT20

Customer call

OCT14

Final interview

Clarify

Seminar

Ask anything

About the screen in front of you or the conversation you are in. The answer shows in an overlay only you can see.

During a call

A query that was fast last month now takes four seconds. Where do you start?

I'd start with the query plan. Run EXPLAIN on it and see whether it has fallen back to a full table scan, because usually the table has grown past the point where a missing index stopped being free. Then I'd check how much it reads against how much it returns. If the page shows twenty rows and the query reads a hundred thousand, the fix is the query, not the hardware. I'd only look at caching once the query itself is right.

What should I say?

On your screen

Why is this query slow?

After the call

What did we decide?

Every action, one key away

Quick actions sit under the answer. Recap the call, clarify a point or get a follow-up question, without typing.

What to answer?

Recap the call

Draw the diagram

List the action items

Explain this code

Clarify

What to answer?

Recap the call

Draw the diagram

List the action items

Explain this code

Clarify

Follow Up Question

Summarise the meeting

Match my resume to the role

Answer

Show the full transcript

Follow Up Question

Summarise the meeting

Match my resume to the role

Answer

Show the full transcript

Brainstorm

Solve what is on screen

Suggest a counter-offer

What did we decide?

Draft a follow-up email

Brainstorm

Solve what is on screen

Suggest a counter-offer

What did we decide?

Draft a follow-up email

Through the whole call

Ready before it starts, answering while it runs, and notes the moment it ends.

Before a call

Know the role before they ask

Add your resume and the job description. Natively maps your experience to the role and prepares your answers.

During a call

What should I say?

Auto Answer follows the call and starts the answer by itself, in an overlay only you can see.

After a call

Meeting notes

Summary, full transcript and action items the moment the call ends, saved on your own machine.

Works with every meeting tool that runs on your computer

Natively listens to your computer's sound and your microphone, so no bot joins the call and nothing is installed in it. A phone on speaker, or a room with no call at all, works the same way.

Zoom

Google Meet

Microsoft Teams

Slack

Discord

Webex

See every app it works with

A mode for every call

Nine built-in modes set how Natively listens and answers. Add your own, with your own reference files.

Answers the moment they finish asking. Know the role before they ask.

Technical Interview

Break down every answer into: Problem Statement, My Approach, Edge Cases, Time & Space Complexity. Never give raw code without explaining the reasoning.

Interview · Built in

Write your own mode and give it reference files

Mode

Looking for Work

Instructions

Coach me on behavioral interview answers using the STAR framework. Lead with business impact. Align every answer to the job description.

Reference files

resume.pdf, job-description.pdf

Switch mode before the call starts

General
Technical Interview
Sales Mode
Recruiting
Looking for Work
Team Meet
Lecture Mode
Seminar
Call Center

General

Assist me during live conversations. Summarise context, flag key points, and suggest responses based on what's being said.

Default · Built in

Sales Mode

Track live signals: budget cues, pain points, objections. Surface recommended closes and next steps in real time during prospect calls.

Sales · Built in

Looking for Work

Coach me on behavioral interview answers using the STAR framework. Lead with business impact. Align every answer to the job description.

Career · Built in

Get Natively to use all nine modes, or write and keep your own

Get for Windows

Frequently asked questions

Is Natively really free?

Yes. You can use it 100% free by connecting to a local Ollama instance. Alternatively, bring your own API keys (OpenAI, Anthropic, OpenRouter, Custom endpoints), or use our managed Natively API if you want an all-in-one cloud setup for a small fee.

Does Natively work with Zoom, Teams, and Google Meet?

Yes. Natively uses a Rust-based system audio capture that works universally across any desktop application, including Zoom, Microsoft Teams, Google Meet, Slack, and Discord.

Is my data safe?

Natively is built on Privacy-by-Design. All transcripts, vector embeddings (Local RAG), and keys are stored locally on your machine. The app collects limited anonymous install counts and no personal data.

Can I use it for technical interviews?

Natively is a powerful assistant for any professional situation. However, users are responsible for complying with their company policies and interview guidelines.

Which platforms does it support?

Natively works with every meeting platform that runs on your computer, including Zoom, Microsoft Teams, Google Meet, Slack Huddles, Discord, and Webex.

Can I use it with headphones?

Yes! Natively captures the audio stream directly from your system, so it works perfectly whether you're using speakers, wired headphones, or Bluetooth headsets.

How is this different from Otter or Fireflies?

Unlike Otter or Fireflies, Natively does not send a bot to join your meetings. This means no awkward "AI Note Taker is recording" announcements and complete privacy for your conversations.

The chat that heardthe whole call

Ask anything

Every action, one key away

Through the whole call

Works with every meeting tool that runs on your computer

A mode for every call

Write your own mode and give it reference files

Switch mode before the call starts

Frequently asked questions

Is Natively really free?

Does Natively work with Zoom, Teams, and Google Meet?

Is my data safe?

Can I use it for technical interviews?

Which platforms does it support?

Can I use it with headphones?

How is this different from Otter or Fireflies?

Put it on your own machine.

The chat that heard
the whole call