All Startup Ideas

AI Meeting Notes Cleaner

Build an AI tool that transforms messy Zoom and Teams transcripts into clean summaries, decisions, and action items with owners and due dates.

Remote teams drown in meeting artifacts. Zoom and Microsoft Teams ship auto-transcripts full of false starts, crosstalk, and “can you hear me?”—but turning that blob into accountable action items still takes 20–30 minutes per call. Otter and Fireflies record everything yet overwhelm users with word dumps; managers want a clean decision log, not another searchable archive nobody opens. Product leads describe the same failure mode: “We have notes in three places and still miss follow-ups.” Granola and Fathom nail live capture for executives, but indie teams and consultants need a weekend-buildable cleaner—upload transcript, pick output format (standup summary, client recap, RACI actions), export to Notion or email. No bot joining calls required for v1.

Built for Developers, Solo Founders, Side Hustlers.

Suggested stack: Next.js 14 App Router, OpenAI GPT-4o-mini / Claude Haiku, Supabase, Vercel + Edge, Notion API, Stripe Billing. Weekend scope: about 8 hours.

The Problem

Remote teams drown in meeting artifacts. Zoom and Microsoft Teams ship auto-transcripts full of false starts, crosstalk, and “can you hear me?”—but turning that blob into…

The Solution

MVP: paste-or-upload transcript UI, LLM pipeline that extracts attendees, decisions, risks, and action items with suggested owners, plus one-click Markdown/Notion export. Optional…

Market Research

AI meeting assistants — MarketsandMarkets projects the broader conversational AI segment exceeding $40B by 2027; meeting notes are a high-frequency wedge.

Competitive Landscape

Otter.ai — Live transcription + search. Strong for lectures; action extraction and client-ready summaries need manual editing. Free tier · Pro ~$17/user/mo · Business ~$30/user/mo

Business Model

Free ($0) — 5 cleans/month, watermark on export

Recommended Tech Stack

Next.js 14 App Router — Upload UI, streaming results, auth via Clerk or Supabase.

AI Prompts to Build This

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  1. 1. Project Setup

    Scaffold Next.js 14 TypeScript app “NotesCleaner” with Supabase auth, table meeting_cleans (raw_text, cleaned_json, template_id), and Zod schema for output: { summary, decisions[], actions[{owner, task, due}], open_questions[] }. Add /api/clean POST route calling OpenAI with structured outputs.

  2. 2. Core Feature

    Build transcript paste UI with character count, template picker (Standup, Client recap, Board notes), streaming markdown preview, and speaker attribution heuristic from “Name:” patterns. Include edit-in-place before export and copy-to-clipboard.

  3. 3. Landing Page

    Landing page: interactive demo with sample messy transcript pre-loaded, before/after toggle, comparison table vs Otter/Fireflies (we don't join your calls), pricing, FAQ on privacy (transcripts deleted after 30 days). Hero: “Your meeting ended. Your follow-ups didn't.”

  4. 4. Notion Export

    Implement Notion OAuth and block mapper: Summary → callout, Decisions → bulleted list, Actions → to-do blocks with @mentions parsed from attendee list.