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Wispr Flow: Dictation That Works Everywhere — Stop typing. Start speaking. 4x faster.
Stop typing. Start speaking. 4x faster.
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I built an open-source alternative to Fireflies.ai and Otter.ai and also made a 30 hour long YouTube video building it
GitHub link: https://github.com/cooldude6000/...
Youtube link:
PS: Youtube only allows videos of max duration of 12 hours. But since my video is 30 hours long, I uploaded it as 3 different parts. The link above is of the first part(2nd and 3rd parts of tutorial link in description)
so i built an open-source alternative to Fireflies.ai and Otter.ai and also made a 30 hour long video (yes, 30 hours 🙏😁) where I built it from scratch and I published that video on YouTube. (link in comments)You can connect your Google calendar and the bot joins the meetings automatically (google meet, zoom & msft teams). You can see the transcript, summary and action items and audio of the meeting. Automated email is sent to you with the summary and action items after the meeting has ended. Users can connect their accounts and push the action items to Asana, Jira, Trello. Users can chat with any meeting and ask questions regarding any meeting. (In which meeting did Jack talk about future hiring budget and what is the budget? "Jack specified about future hiring budget in "x" meeting and the budget mentioned is "x"). You can install Meeting Bot's Slack Bot in your workspace and ask any questions regarding any of your meeting from your slack workspace. You can also post meeting details, summary and action items to slack. Custom name and image for bots. 3 tiered plan using stripe. You can also share meetings to others btw.
Working on Notion, Linear, Salesforce, HubSpot integrations.
Features:
🤖 Automatic AI bot deployment to Zoom, Google Meet, and Microsoft Teams
📝 Meeting transcription with speaker identification and diarization
🧠 AI-generated meeting summaries and action items using OpenAI
📅 Real-time calendar sync with Google Calendar
💬 Chat with meeting conversational AI with RAG pipeline powered by Pinecone vector database
🔍 Semantic search across all meeting transcripts and summaries
🔗 One-click action item sync to Jira, Asana, and Trello.
💬 Native Slack bot integration with commands using Slack Bolt framework
💳 Three-tier subscription system with Stripe payment processing and webhook handling
🔒 Secure user authentication and session management with Clerk
🎨 Modern responsive UI built with Next.js 15, Tailwind CSS 4, and Shadcn UI
📊 Comprehensive meeting dashboard with audio playback using React H5 Audio Player
📋 Complete meeting history with clickable past meeting navigation
📅 Upcoming meetings dashboard with toggle controls for bot attendance
💭 Individual meeting chat interface for meeting-specific conversations
🗨️ Global chat feature to query across all meetings simultaneously
⚙️ React Context hooks for efficient state management across components
☁️ AWS Lambda functions for automated bot scheduling
🛡️ Enterprise-grade security with proper webhook validation using Svix
🗄️ AWS S3 storage for audio files and user profile images
🎯 Custom bot personalization with name changes and profile image uploads
📧 Post-meeting automated email notifications
🗄️ Efficient database management with Prisma ORM
🔔 Real-time notifications using Sonner toast system
🌙 Dark theme support using Next Themes
Whoa, 30 hours of YouTube tutorials?! That's dedication! I'm truely impressed by the open-source aspect – being able to customize and potentially contribute is awesom. The whole Slack bot integration for querying meeting details sounds kinda genius imo; saves so much time digging through transcripts. Does it work with Google Calendar's recurring meetings as well?
GPT-4o
Whoa, 30 hours of YouTube tutorials?! That's dedication! I'm truely impressed by the open-source aspect – being able to customize and potentially contribute is awesom. The whole Slack bot integration for querying meeting details sounds kinda genius imo; saves so much time digging through transcripts. Does it work with Google Calendar's recurring meetings as well?