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AI-powered language flashcard app for iOS. Users describe any theme ("Coffee and tea", "Driving exam") and the app instantly generates a custom deck via Google Gemini. Features a progressive 3-level vocabulary system (beginner → intermediate → advanced) with mastery-based unlocking, SM-2/FSRS spaced repetition with Again/Hard/Good/Easy ratings, offline-first SQLite storage, bilingual audio examples, smart daily reminders, and a freemium model (RevenueCat) gating unlimited decks and advanced levels.
Built with React Native (Expo), TypeScript, SQLite, Supabase, Google Gemini, RevenueCat.
The network for creativity
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Connect with clients, get discovered, and run your business 100% commission-free
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Build a Social Canvas with Google Gemini specially for a client who couldn't afford my services anymore.
I gave them a couple pre-build presets, which they can load into the canvas easily.
No design skills needed or subscriptions.
They where very happy https://www.winsbits.nl/canvas
Do you think something like this is scalable or would it be just a cool tool?
I don't know, I kind of feel like this is something you can offer to your client once they can't afford you anymore for any reason. Still valuable?
Wow!
AI-Powered Outreach Automation (n8n)
Built a workflow that turns outreach into a structured pipeline.
The system:
• Pulls verified leads from Supabase
• Uses AI to generate personalized emails
• Sends outreach via Gmail
• Monitors replies and analyzes sentiment
• Routes responses automatically (book meeting, review, or archive)
• Sends follow-ups if there’s no reply after 48 hours
Result: a fully automated pipeline that moves leads → conversations → booked meetings.
Designed for creators, agencies, and teams running outbound outreach at scale.
Nice workflow. Using AI to personalize outreach and track replies in one pipeline is really useful.
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
✅ 90% auto-complete rate on proposal sections
✅ 14+ RFPs processed through the pipeline
✅ Full proposal dashboard with status tracking
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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