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Takeoff Copilot — AI Assistant for Construction Estimators
A next-generation AI construction assistant that helps estimators understand, analyze, and extract insights from technical drawings through natural language interaction.
Takeoff Copilot combines document intelligence with conversational AI to create a smarter estimating experience. Users can upload construction drawings, ask questions about project details, review AI-detected components, and generate quantity summaries through an interactive workspace.
The platform reimagines traditional takeoff workflows by combining AI chat capabilities, visual document analysis, and automated construction reporting into a single intelligent assistant.
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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Another product shipped.
We just launched the iOS app for Legacy Building Journals, a platform built to help people preserve the stories, memories, and moments that matter most.
https://apps.apple.com/pk/app/legacy-building-journals/id6778774585
This wasn't another journaling app. The goal was to create a space where users can capture life experiences through writing, photos, and voice recordings, then preserve them for future generations.
Our team handled everything from product strategy to development, working closely with the client to turn their vision into a polished, production-ready iOS experience.
What we shipped:
1. Full iOS app (React Native)
2. Photo, text, and voice recording capture
3. Stripe + Apple Pay integration
Building products people use daily is always rewarding. Building one that helps families preserve their legacy hits different.
Proud of the team for bringing this to life. On to the next one.
Great Work
🚀 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.
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