Tomorrow MyThriftyTrolley goes live on Product Hunt. I built it because I was tired of wasting time and money trying to figure out whether Coles, Woolworths or Aldi was cheaper each week. So I created a single web app that shows live prices across all three supermarkets with proper brand matching. Key features: Real-time pricing from Coles, Woolworths & Aldi Smart AI that matches brands and pack sizes accurately One-click basket optimisation (see the cheapest way to buy your whole list, even if split across stores) Clean freemium model free searches + paid for unlimited use, meal planning & pantry tracking Right now the platform is fully live with fresh data, working Stripe payments, and a fast interface. I m looking for early Australian shoppers to try it and give honest feedback before the Product Hunt launch tomorrow. If you do the weekly grocery shop for your household, I d really appreciate you checking it out: Mythriftytrolley.com What s the one thing that frustrates you most when comparing supermarket prices? Looking forward to your thoughts.
We kept hearing from developers: building a voice agent means jumping between dashboards, docs, and your IDE before writing a line of actual logic. So we brought the entire setup into the IDE.
Focus Quadrant is a task manager that forces you to prioritize, not just list.
Most task managers give you an infinite list and leave the hard work to you. Focus Quadrant takes a different approach: every task starts in a queue, and you decide where it belongs. Do (urgent and important), Plan (not urgent, important), Delegate (urgent, not important), or Drop (neither). That single drag-and-drop decision clarifies what actually deserves your time.
We love Cursor, Copilot, and Claude. But we kept running into the same problem. They don't know your architecture.
They generate code using generic patterns, not your team's actual decisions. And slowly, without anyone noticing, your codebase starts drifting. The repository pattern you agreed on. The state management library you picked after two weeks of debate. The validation approach your senior engineer insisted on.
I use ChatGPT every day for long work sessions. At some point my chats just started dying on me. Typing would lag, scrolling would freeze, and eventually the whole tab crashed.
Turns out ChatGPT loads every single message in your conversation into the browser at once. If you have a long chat your browser is basically trying to juggle thousands of things at the same time. It has nothing to do with your internet or your computer being slow.
So I built a fix. It removes old messages before your browser even sees them. Your browser only loads the recent part of the conversation and runs fast from the start. Your full chat history is never deleted, you can scroll back anytime with one click.
On a really long chat it runs 932 times faster. I measured this.
I built Synaptive (https://synaptive.app) a free tool that lets you map the books you read, movies you watch, podcasts you listen to, and draw connections between them.
The idea is simple: you read Sapiens, then watched Inception, and felt a connection. No algorithm made that connection you did. Synaptive makes it visible.
