Most project tools only know what you manually tell them.
But the actual project is happening everywhere else.
Client requests are in Gmail. Decisions happen in Slack. Designs change in Figma. Development moves on GitHub. And important context disappears inside meetings.
I ve successfully upgraded Noor (noor-daily-companion.vercel.app) to a fully functional Progressive Web App (PWA)!
What s new? Users can now easily install the app directly on their mobile phones or laptops straight from the browser no app store required. It delivers a fast, smooth, and native app-like experience for daily guidance, prayer times, and reminders.
Check it out: Noor Daily Companion
Let s keep building and making web experiences smoother!
We've been working on the these features on Querypanel.io for a while now and finally we got it done and released!
Last time we released the headless ai driven chart and dashboard management.
Now, we improved the system by adding a Notion-like dashboard editor with AI Assistant! We also added an agentic workflow to the AI Assistant that helps you quickly iterate on a chart. The dashboard editor is fully multi tenant ready!
Over the last few months, I engineered 5 different B2B SaaS platforms (Next.js 15, Laravel 11, PostgreSQL). They include an AI Outbound CRM, a Website Health Scanner, and an AI Video Studio.
The hardest part wasn't the AI integration it was building the Master License Servers so that these apps could operate as fully white-labeled multi-tenant systems.
Here are my two biggest takeaways from building enterprise architecture as a solo engineer:
Most rental management tools are built for agencies managing hundreds of units. But most landlords in Spain have just 1 10 properties and end up managing everything in spreadsheets, sticky notes, and WhatsApp reminders.
I m building SvaraSleep, a sleep-routine app, and I m at a product decision I m struggling to make.
Most sleep apps either ask a lot of questions upfront or give everyone the same sounds and routines. I want to personalise the experience, but I do not want onboarding to feel like homework or collect more information than is genuinely useful.
For an early version, I can prioritise only one of these:
Routine timing helping users build a realistic wind-down routine around their usual sleep and wake times.
Audio preference suggesting sound environments based on what helps a user relax.
Nightly check-in adjusting the suggestion based on whether a user feels stressed, restless, or tired that evening.
Hi! I'm Patrick. I've been doing CrossFit for years and always competed informally with friends during workouts. "Who got the fastest time?" "Did you beat my score?" "How heavy was your deadlift?" That's why I'm super excited about launching Ryvals . My goal is simple: to turn your daily workouts into fun, competitive challenges.
The idea originated several years ago. Last year, I decided to put all my spare time into this project, perfect every detail, and put all my love into making it. I have a lot of plans for the future, but at this moment, the hardest part is getting people to actually visit the app, sign up, and use it. I would love to get some tips on this.
My co-founder and I spent months watching HR teams we know personally lose entire weeks to CV screening not because they were slow, but because the volume is just brutal at this point.
ATS tools exist, but they work like blunt instruments. Strong candidates get filtered out because they didn't use the exact right keyword. Manual review is more accurate but completely unsustainable.
