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Erp Saas built from sratch with Laravel and React.
Currently on production with active customers.
Read more at comercio-simple.com
From scratch and already in production with real customers is the part most stop short of. Respect. What made you go Laravel over a JS backend?
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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A founder from Silicon Valley came to us with a product that was already working.
The AI logic was solid. The backend did what it was supposed to. DataScoop could analyze metric changes, find the root causes and explain them in plain language - which, honestly, is genuinely hard to build.
The problem was everything the user actually saw.
The interface hadn't kept up with the product. There were Figma designs ready, a completely new visual direction, but no one had translated them into a working frontend yet. The existing code wasn't built to carry them. And the data visualization layer, the part that makes analytics actually readable, needed to be rebuilt from scratch.
So the ask was clear on the surface: rebuild the frontend, implement the new design, make it fast.
In practice, it was more nuanced than that.
Complex data files needed to be parsed and turned into charts that told a story, not just displayed numbers. Performance had to hold up so that insights landed in seconds, not after a loading spinner that made you forget what you were looking at. And all of it had to feel like it belonged together: the AI output, the visualizations, the interface, the Slack and email delivery.
We rebuilt the frontend in React.js and TypeScript, applied strict code quality standards from the start and worked through the Figma designs screen by screen, not just implementing them, but pressure-testing how they behaved with real data.
The hardest part wasn't any single technical problem. It was maintaining coherence, making sure that as the pieces came together, they felt like one product, not a patchwork.
The result is a platform where a data analyst can open it, see a metric move, and understand why, in plain language, in seconds, delivered wherever they actually work.
That's the version DataScoop's users have now.
Check it out
Great job
Built a SaaS concept this week. Luma, a tool that scans incoming interactions and sorts them by conversion potential.
Tried to think through it as a real product, not just a landing page. Hero, dashboard, the logic behind why someone would actually open this every morning.
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.
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Prokhorov®
helloprokhorov.com
Love this product-first approach! Designing with the actual user logic and daily routine in mind makes a massive difference, and it really shows here. The layout is incredibly clean, professional, and built for real business value. Brilliant work on Luma! 🚀💼
App Name: GigPulse
Category: 📊 Dashboard + 🤝 Social/Community
What it does:
GigPulse is a personal freelance project tracker built for independent professionals who juggle multiple platforms. Freelancers can log their projects, track earnings per platform, monitor project status, and attach video demos of their work all in one private dashboard. The community benchmarking layer lets users see anonymized stats from other freelancers in their niche, so you always know how you stack up.
How I built on top of the AI-generated base:
Bubble AI generated the core dashboard structure and data architecture. From there, I manually engineered the video upload and playback system per project, built privacy-filtered data workflows so each user only sees their own data, added platform-specific earnings tracking with status badges, and designed a clean dark UI with collapsible video players. The AI gave me the skeleton, I built the muscles.
This is the Bubble AI-generated base after my initial prompt 'Build a freelance analytics dashboard app called "GigPulse" where
freelancers can track their gigs, proposals sent, earnings per platform,
client response rates, and monthly revenue goals. Include a community
benchmarking section where users can see anonymized stats from other
freelancers in their niche. Add user authentication, a personal stats
dashboard with charts, a goal-setting tracker, and a community feed
where freelancers share weekly wins.'
Everything you see in the final build beyond this point was manually engineered.
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