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A feature flag management system which could also be a nestjs library, mainly targetting developers and admins where they can control minor and major changes as flags for development and deployment environments.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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🚀 Just launched my latest case study: ClientFlow.
A modern SaaS client portal built for creative agencies using Next.js, React, TypeScript, Tailwind CSS, and Supabase.
Feedback is always welcome! ✨
#buildinpublic #webdevelopment #nextjs #react #saas #uidesign #frontend
Would you let an AI write SQL against your production database?
I wouldn't either. So when I built Quanta — a workspace where you ask questions in plain English and get back a live dashboard — the model never touches your data directly.
Every query it generates is SELECT-only and runs read-only. If one fails, the system feeds the exact database error back to the model and lets it correct itself once before anything reaches you. Credentials stay encrypted with AES-256-GCM and never leave the vault.
Connect Postgres or MySQL, switch between Gemini, Claude, and GPT, and build dashboards from 12 chart types. It's multi-tenant now too. Orgs, roles, and per-workspace AI spend caps.
Curious how other devs handle the "LLM + real database" problem. What guardrail would you add?
The self-correction loop is such a smart touch. Only thing I'd add is a statement_timeout + forced LIMIT so a valid-but-heavy query can't tank prod. Ideally run against a read replica. Great build.
Stop Building AI Demos. Build Store-Ready Products. 🚀
Most AI photo projects end up as simple wrappers or half-baked demos. I wanted to build something real, production-ready, and fully monetized.
🙌 Meet Atelier — a production grade AI Photo Studio built for the App Store and Google Play.
Packed with 13 heavy-duty AI tools—including AI Enhance, 4x Upscale, and precise Background Removal (as showcased in ai-photo-1.png) - Atelier processes images fast and securely.
⚡ Engineering the Experience:
- The Frontend: Built an ultra-smooth cross-platform UI with Flutter, featuring an interactive Before/After comparison slider (ai-photo-2.png).
- The Creative Engine: Integrated 6 distinct art styles and a custom style prompt engine for infinite generation flexibility (ai-photo-3.png).
- The Backbone: Engineered a secure Go backend that interfaces with AI image models, handles fast data delivery, and manages strict receipt-verified In-App Purchases (IAP).
No generic templates, no lagging interfaces—just a complete, commercially viable mobile ecosystem.
Need an engineer who builds real, revenue-generating AI products instead of just placeholders? Let’s Discuss!🔥
#ProductDesign #MobileDevelopment #B2BSoftware #AIAutomation
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