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Built TRY VERITY — an AI-powered interview copilot designed to help both Spanish and English speakers improve their job interview skills for FREE.
The goal is simple:
make interview preparation more accessible, realistic, and useful through AI-powered feedback and workflow systems.
Built through vibe coding using:
• Next.js
• Vue
• Supabase
• Gemini 3.1 Flash for real-time feedback & analysis
Currently testing and improving the platform with early users.
#AI #OpenAI #Gemini #Nextjs #Supabase #Automation #SaaS #VibeCoding
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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I've built a new mobile AI assistant that brings chat, text and image generation, voice input and document analysis into one app.
It have Smart Chat, Text Creator, Image Create, Voice Input, plus PDF Scanner, Photo Analyze, Social Content and Prompt Ideas, filtered by category.
Almost everything AI can do, just in one place.
Such an amazing tool! Keep going!
Visit the live app here: https://paws-and-puddle-pro.lovable.app/
Meet Sam. He runs a highly requested mobile pet grooming van in Denver, but standard booking calendars are quietly killing his margins. Because generic apps let customers pick any time slot they want, Sam spends two to three hours a day zig-zagging across the city in traffic, burning fuel and losing out on actual appointments just to accommodate a messy schedule.
To fix this, I built Paws & Puddle, a web app that solves his geographic routing nightmare before a booking ever hits the calendar. Instead of a basic form, I engineered a zero-click geo-gate. It automatically fetches a user's zip code via location services and dynamically filters the calendar to only show availability for the specific days Sam’s van is already assigned to their neighborhood.
Because forced logins instantly kill conversion rates, I designed a completely frictionless guest checkout. But to ensure long-term retention, the Thank You page features a "Guest-to-Auth" funnel that seamlessly converts their inputted data into an account post-booking, simply by asking the user to "set a password to track your van's ETA."
Backed by a full operator console where Sam can manage custom service zones, assign route days, and trigger automated status emails, this build proves that premium, minimalist design and aggressive problem-solving belong in the exact same app.
Check out the demo video below to see the end-to-end flow in action! @Lovable #lovablechallenge
Very nice visual design. I love the dog drawings 😍
What if anyone on your team could ask your data a question and get a live dashboard back in under a minute?
That was the brief. Business users were locked out of their own data. Every question waited on someone who could write SQL, data sat across disconnected systems, and security teams refused to send sensitive records to third-party AI tools.
So we flipped the model. Instead of moving enterprise data to an AI product, we moved the AI analytics product into the customer's AWS account.
What we built:
• Natural-language querying that turns plain-English questions into governed dashboards in under 60 seconds
• Federated queries across SQL and NoSQL sources through Trino
• AI query generation on AWS Bedrock Agents, with Bedrock Guardrails keeping model output in bounds
• Dashboards generated with Apache Superset, plus proactive anomaly and trend alerts
• A white-label React widget that embeds in any product
• Role-based access, row-level security and enterprise SSO enforced at every layer
The result:
Zero data egress. The whole platform deploys inside the customer's VPC and is live on AWS Marketplace.
Building AI features for a data-heavy or regulated product? Let's talk about doing it without your data leaving your cloud.
