Natively: AI meeting copilot, $6.7K MRR, 629 subscriptions

Natively provides real-time AI help and automatic notes during interviews, meetings, calls, sales conversations, and lectures. Its $6.7K MRR is verified through the payment provider's API by TrustMRR (Dodo Payments), as of September 30, 2026.

What it actually sells

Natively is an AI interview copilot and a meeting assistant in one app — local, private, and real-time. It provides real-time answers based on conversation context for interviews, meetings, calls, sales, and lectures.

For job interviews, the site lists “Job interviews Real-time coding, system design, and behavioral help on live interviews.” Natively also creates structured, searchable notes with action items, decisions, and key moments.

How it charges

The product's price could not be identified on the pages we read. Natively has 629 active subscriptions, $6,673 MRR, and revenue of $12,292 in the last 30 days.

Month by month

Monthly revenue as read from the payment provider by TrustMRR, in US dollars, as of September 30, 2026.

Month	Revenue (USD)
2026-03	$102
2026-04	$5,674
2026-05	$8,410
2026-06	$12,208
2026-07	$13,618
2026-08	$12,284
2026-09	$12,110

Where customers come from

Natively offers a Linux download and works with Zoom, Meet, and Teams. The founder lists SEO, content marketing, a blog, Reddit, YouTube, and X / Twitter as growth channels.

What stands out

Natively supports live transcription, instant answers, and automatic notes for any call. It also supports local execution or cloud-hosted AI infrastructure and uses uploaded files as real-time context.

The site claims “162,000+ Downloads” and labels Natively “#1 Intelligent AI for Meetings.”

From the official site

Job interviews Real-time coding, system design, and behavioral help on live interviews.

Natively reads your resume, job description, and prep notes to answer for you.

Excerpts from the official website, fetched October 1, 2026.

Where it sits in the data

Natively's $6.7K MRR is higher than 92% of the 5,602 projects with payment-verified revenue in our dataset; the median across them is $150. Within the “Sales” category (202 projects) it is higher than 86% (category median $441). Snapshot: 2026-09-02 to 2026-09-30. The dataset only covers founders who chose to publish their numbers, so it leans toward businesses that work; use it for scale, not as an average.

Currency

All figures are in US dollars as published. A rough yuan or euro conversion is not applied here because prices, taxes and acquisition costs differ by country.

Could you build something like this?

My view is that the clearest demand comes from job candidates and professionals who need assistance during interviews, meetings, sales calls, and lectures. Distribution would need search, content, developer communities, video platforms, social channels, and integrations with video meeting platforms. The buyer must have a reason to trust real-time answers during live conversations.

My view is that reliable real-time responses, transcription, private local execution, uploaded-file context, and support across meeting platforms would require serious technical work. Data handling, regulation, competition, and support load would also matter. A credible version would need to perform consistently while giving users clear control over their data.

Verdict: Needs real work.

One thing to take from it

Natively brings conversation-aware answers, interview assistance, meeting notes, transcription, file context, and call support into one app. Its listed audience spans job candidates and professionals in meetings, sales calls, and lectures.

Sources

Natively official website, fetched October 1, 2026
Natively pricing page, fetched October 1, 2026
TrustMRR: revenue verified through the payment provider's API by TrustMRR (Dodo Payments), as of September 30, 2026

Revenue, team and start-cost figures are what the founder reported at the interview date, not current figures and not a prediction of what you will earn. Product and pricing facts come from the business's own website as checked on 30 September 2026. Method & sources · Disclosure