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Milago

The AI Notetaker That Doesn't Stop at Notes

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This is 1 of 103 launches in ai meeting note takers — see how it stacks up on momentum and crowding →

163 other launches read as similar to this one →

Details

External ID
1265749
Source
PH
Company
—
Product
Milago
Website domain
producthunt.com
Launched
Oct. 6, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.93
Tags
Notes, Meetings, Artificial Intelligence

Description

Milago captures your meeting (browser, Windows app with no bot in the call, file upload, or a notetaker bot for Zoom, Meet and Teams), then writes the transcript with speaker labels, summary, decisions and action items. You approve them, each lands on an Action Board with an owner and due date, and goes out to Jira, Linear, GitHub, Notion, Slack, Teams or as a prompt for Claude Code, Cursor and Codex. Search and ask across every meeting, also via a hosted MCP server.

Enrichment

Niche
ai meeting note takers
Vertical
Horizontal
Function
Agent / copilot
Audience
Prosumer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
ai meeting notetaker and action item assistant for professionals
Manually corrected
False

Could you build this?

Partial While the action item board and LLM summarization are standard, capturing system audio across Zoom/Meet/Teams via Windows drivers without a bot requires native OS audio capture hooks.

What it would actually take: The core app involves a dashboard and RAG/LLM pipelines, but the client requires a native desktop application (C++, C#, or Rust) utilizing Windows Core Audio APIs (WASAPI loopback capture) alongside virtual audio drivers to cleanly separate mic input and system audio. In addition, supporting bot-based capture involves headless Chromium clusters running automated virtual attendees to record WebRTC streams. This requires deep systems programming, audio codec pipeline handling, and scalable WebRTC infrastructure.

Competitors

Other products that read as similar to this one — 163 launches clear the similarity bar, closest 8 shown.

Attention rank: #30 of 164 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 313 days after the earliest competitor.

Other launches for this product