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I built a game with Whispr flow!
Link to the game: https://fort-night.replit.app
Social Post and Creative Process
Used Whispr with Replit to start an initial concept, and using Whispr’s snippet feature took that across an array of AI products to streamline building a couple’s playable experience for a Valentines date night, where they work together to fight off enemies and gather collectibles to build the perfect date.
What an amazing way to move fast across so many tools!
Tools used
#WisprFlow
Figma AI
#Codex
#Replit
#ElevenLabs
#Cursor
#ChatGPT
Thank you!!
It took a really long time to upload the video on Contra, hope I'm not too late! :*
For more context - I used Wispr Flow to brainstorm directly with ChatGPT and shape the initial concept. Because I was working with extremely detailed prompts for Replit, using Wispr made it much faster to articulate.
I also created custom Snippets inside Wispr Flow to lock in...
Great work, Shreya! Love this couples game concept and how you stitched all the tools together. Well deserved!
Thank youuu so much, Anton!!
wonderful!
Thank you!!
Thank you!
Building a game with ElevenLabs and Replit is such a creative combo! The pixel art style and the romantic game night concept are both super charming. Great execution!
Thank you, Stephanie!
I wanted to share a little bit of the concept and features of the game - At the start of the game, each player picks a date-night item that becomes their starting weapon. As you explore the map, you’ll find matching items that combine into stronger weapons, and you’ll level up...
Putting together a game using ElevenLabs and Replit is a seriously fun creative combination.
Thank you! I used so many tools, it was really fun combining them and bringing them all together.
SO cool!
Thank you, Darcy! 🎉
The network for creativity
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This is a Framer project I’ve been working on recently.
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The workflow is fast and easy to work with, so it’s simple to test different ideas along the way.
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Built a full-stack AI automation system that transforms how the company responds to RFPs.
Users upload RFP documents (PDF/Excel) through a web portal. An n8n pipeline processes the upload: AI parses the document to extract key fields (issuer, scope, budget, deadline), classifies the service line, matches content from an Airtable library (team bios, references, portfolio), and generates 80-90% complete proposal drafts with cover letter, company overview, technical approach, and more. Output is a formatted Word document ready for review.
Results:
✅ Reduced proposal creation from 4-6 hours to under 30 minutes
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Tech: n8n, OpenAI, Airtable, Vercel, Webhooks
This is a really interesting automation workflow, Peter. Using AI to parse RFPs and streamline proposals is a smart use case.
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