Developer Tools1 week ago
Applora AI - Shopify App Store Intelligence for App Builders
Research Shopify App Store trends, track competitors, and discover keyword opportunities.
@yuangwya · X
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21 projects
Research Shopify App Store trends, track competitors, and discover keyword opportunities.
@yuangwya · X
Monitors App Store and Google Play policy deadlines for your app.
u/UndefinedCurve · Reddit
I spent a lot of time researching problems that I could solve. This is what I built. Hey everyone, I'm a 17-year-old CS student. Instead of building another AI wrapper, I spent the last few weeks reading Reddit threads, App Store rejection posts, and developer forums to find a problem worth solving. I found out that numerous apps are rejected every year due to constant changes in the policies of the App Store and Play Store. So I built Veravo. You tell it about your app, and it tracks
Gamified team management platform combining tasks, projects, chats, meetings, attendance tracking and reports.
@NikhilAhlawattt · X
Built a gamified team management software to make work fun. We combine tasks, projects, chats, meetings, attendance and reports at the same time have points, leaderboards and streaks! We are also whatsapp integrated :) Check it out:
AI generates branded proposals, invoices, and professional documents as PDFs in 60 seconds.
@AadyaAI · X
Aadya AI turns a client conversation into a branded, ready-to-send proposal or invoice PDF in 60 seconds — no templates, no formatting, no chasing.
Free, native macOS screen recorder with built-in editor and auto-zoom.
@screenkite_com · X
Test your app across devices and browsers to catch bugs automatically in minutes.
@vibe_and_go · X
Browse app store complaints ranked by frequency to identify product gaps.
@MihkelSylla · X
Working on and few other smaller projects for myself
Mobile app for managing detailing businesses with bookings, payments, CRM, and AI inspection.
@Adam_Rhinehart_ · X
Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation