MeetingSense - Auto-Record Slack Huddles, Auto-Summarize in 60 Seconds

Slack huddles record themselves, transcribe automatically, generate 3-bullet-point summary + action items, and post back to channel. Zero manual steps.

𝕏 Post Reddit HN

Difficulty

low-code

What is it?

Engineering and product teams hold daily standups, quick huddles, and 1-on-1s on Slack but never retain information. Teams default to typing notes manually or let conversations die. MeetingSense solves this: when a Slack huddle ends, it automatically transcribes the audio, generates a concise summary (3 bullets + action items), and posts it to the channel. Optional: archive transcripts in a searchable Slack app, tag attendees in action items, integrate with Linear/Jira to auto-create tasks. Why 100% buildable right now: Slack has a native recorder API and webhook integrations. Deepgram or AssemblyAI handle transcription reliably. Claude's API generates summaries in seconds. Slack's Blocks API formats rich messages. No training, no heavy ML, just plumbing. Ship in 14 days.

Why now?

▸Auto-record Slack huddles on end
▸Transcription in 60–120 seconds
▸AI summary (3 bullets + action items)
▸Archive searchable in Slack
▸Auto-tag mentioned team members on action items
▸Optional Linear/Jira task creation for action items
▸Weekly digest of all summaries sent to Slack

Target Audience

Engineering teams, product managers, startup teams holding daily standups. Est. 100k+ teams with 10+ huddles/week.

Example Use Case

Alex's 8-person team holds 2 standups per day. MeetingSense records both, transcribes them in 120 seconds, posts summary + action items to #standup. Action items auto-link to Jira issues. By month 2, the team has a searchable archive of 40 standups without a single manual note. Someone's absent and needs context? Slack search finds it in seconds.

User Stories

Acceptance Criteria

Is it worth building?

$99/month × 80 teams = $7,920 MRR at month 4. $299/month enterprise tier × 10 teams = $2,990/month. Path to $12k MRR at month 6.

Unit Economics

Business Model

SaaS subscription per workspace

Monetization Path

Free tier: 5 huddles/month. Starter: $99/month (unlimited huddles, 90-day archive). Enterprise: $299/month (Linear/Jira integration, custom retention).

Revenue Timeline

First dollar: week 3 via $99 subscription. $1k MRR: month 2 (10 teams). $5k MRR: month 4 (50 teams). $10k MRR: month 6.

Estimated Monthly Cost

Deepgram: $20 (at 100 huddles/month, ~10 min each), Claude API: $40, Supabase: $25, Vercel: $20. Total: ~$105/month at launch.

Profit Potential

Full-time viable at $5k–$15k MRR.

Scalability

High — add calendar integration, meeting transcript search, team insights (who speaks most, action item completion rate).

Success Metrics

Week 1: 50 workspace installs. Week 2: 20 active teams creating summaries. Month 2: 500+ huddles recorded and summarized.

Launch & Validation Plan

Survey 20 engineering teams about standup pain. Build Slack app. Recruit 5 beta workspaces with 5+ daily huddles. Validate $99/month pricing via interviews.

Customer Acquisition Strategy

First customer: Post in r/slackplugins and Slack app directory with free trial. Email 30 engineering teams with subject 'Auto-summarize your daily standups (free for 1 month)'. Ongoing: ProductHunt, Slack community forums, engineering Twitter/X, Hacker News.

What's the competition?

Competition Level

Medium

What's the roadmap?

Feature Roadmap

Milestone Plan

How do you build it?

Tech Stack

Slack API, Deepgram or AssemblyAI for transcription, Claude API for summaries, Supabase for transcript storage, Slack Blocks for UI — build with Cursor for backend, Slack Bolt framework.

Suggested Frameworks

Time to Ship

14 days

Required Skills

Slack API (Bolt framework), webhook handling, Deepgram/AssemblyAI integration.

Resources

Slack Bolt docs, Deepgram API, Claude API, AssemblyAI docs.

MVP Scope

Slack app manifest, webhook listener for huddle.ended events, Deepgram integration, Claude summary prompt, Slack Block message builder, Supabase schema for transcripts, Slack command /archive (list past summaries), Stripe OAuth flow. 6 core API routes.

Core User Journey

Install Slack app -> authorize workspace -> hold huddle -> huddle auto-summarizes -> read summary in Slack -> click action item -> task created in Linear.

Architecture Pattern

Slack huddle ends -> webhook -> Deepgram transcribes -> Claude generates summary -> Slack Block message posted to channel -> archive stored in Postgres -> searchable via Slack command.

Data Model

Workspace has many Huddles. Huddle has one Transcript, one Summary, many ActionItems. ActionItem has optional jira_issue_link.

Integration Points

Slack API (huddle events, Blocks, auth), Deepgram for transcription, Claude API for summarization, Supabase for archive, optional Linear/Jira for task creation.

V1 Scope Boundaries

V1 excludes: calendar integration, team insights dashboard, mobile app, speaker identification, multi-language support.

Success Definition

A paying team installs the app, records 5 huddles, receives accurate summaries and action items, uses them in Jira, and renews subscription.

Challenges

Slack's recording API is new and documentation is sparse. Deepgram and AssemblyAI have occasional transcription quality issues on noisy audio.

Avoid These Pitfalls

Do not try to transcribe in real-time; let Slack's recorder run, then transcribe the file. Do not store audio files longer than 7 days (storage + privacy). Do not assume Deepgram is always available; implement fallback to AssemblyAI. Test GDPR consent flow thoroughly before launch.

Security Requirements

Infrastructure Plan

Performance Targets

Go-Live Checklist

How to build it, step by step

1. Create a new directory: mkdir meetingsense-slack-app && cd meetingsense-slack-app. 2. npm init -y && npm install @slack/bolt @slack/web-api deepgram-sdk axios dotenv. 3. Create .env with SLACK_BOT_TOKEN, SLACK_SIGNING_SECRET, DEEPGRAM_API_KEY, CLAUDE_API_KEY, SUPABASE_URL, SUPABASE_KEY. 4. Create index.ts with Bolt app initialization. 5. Create lib/deepgram.ts with transcription function. 6. Create lib/claude.ts with summary function. 7. Create lib/slack.ts with message posting function. 8. Add event listener for huddle.ended. 9. Add command listener for /archive. 10. Test with ngrok and deploy to Vercel or AWS Lambda.

Generated

March 21, 2026

Model

claude-haiku-4-5-20251001

← Back to All Ideas