The idea is to have deterministic text transformations generated by AI, which can be saved and reused later to avoid incurring/piling up LLM-call cost and hallucinations.
This solves my own pain points when I wanted to clean up some text with non-trivial requirements which takes quite some time to figure out with normal text editor's find-and-replace + regex.
Yes, you can write your own code/put LLM generated code in an IDE and do the same thing. However, I just wanted to create a trivial way to generate/save/execute (safely in a local lightweight VM) code to transform my text.
Just wanted to share with the community that today we discovered we have been paying for idle GitHub Copilot seats in our GitHub organization for months! This can be easily accounted for hundreds if not thousands of dollars yearly.
The funny thing is GitHub doesn't really make it easy to spot this. You have to dig into the Billing section of your org setting (require org owner privilege or manage billing permission) and get an activity report of those seats.
It is quite a hassle to see right away who's not actively using their Copilot seat assignments.
Hence I made a tiny open‑source tool that:
1. Connects via GitHub OAuth
2. Lists every Copilot seat and last‑activity date
3. Highlights seats inactive for 90+ days
4. Optionally disabling these idle seats for you
Disclaimer:
The report is completely free and is shown right after logging with GitHub. If you want one‑click seat disabling, there’s a small fee (or you can always revoke seats manually via GitHub).
I created a simple to use "Pomodoro" timer that uses Pomodoro technique to improve productivity. There are tons of these out there but I only wanted some thing that's dead simple
Pop Meals is building a leading digital O2O food brands in SEA. We use tech to disrupt the food industry by offering convenient app, great offline experience and amazing food!
As a senior/lead backend engineer, you are responsible for firefighting work, adding highly impactful features, or implementing major change that improves the business or team's productivity.
We are still running on a monolithic code base (with containers) so there are huge upcoming opportunity to break it down into microservices and setup the whole infrastructure to support them.
Our tech team is small yet talented, as we intentionally hire people who's resourceful and want to wear a lot of different hats.
Send CV to vu [at] popmeals [dot] com if you're interested in new challenges and have meaningful tech impact on the business.
1. My friends and I were building an app named OrderIt. It's basically targeted to be used by waiters / waitresses to order food and beverage for a restaurant or coffeeshop instead of using paper and pen. The idea is not new but we aim to make it even easier for businesses by providing cross-platform apps and useful features. We have the app prototype ready but failed to do marketing/sales stuffs in the last three-month which means no customer at all. All of us coming from tech background who have no idea about marketing and sale stuffs. We also open-source source code for Android app on github for anyone interested in (https://github.com/leeu1911/orderit). We have no idea about business model and how to make money out of it currently.
2. I've built a website to use with Pomodoro technique (a time management technique). http://web-pomodoro.herokuapp.com/. So far, there's only me using it although it has around twenty views or so when I share the link on facebook. I need more seriousness I guess.
The idea is to have deterministic text transformations generated by AI, which can be saved and reused later to avoid incurring/piling up LLM-call cost and hallucinations.
This solves my own pain points when I wanted to clean up some text with non-trivial requirements which takes quite some time to figure out with normal text editor's find-and-replace + regex. Yes, you can write your own code/put LLM generated code in an IDE and do the same thing. However, I just wanted to create a trivial way to generate/save/execute (safely in a local lightweight VM) code to transform my text.
Would love to hear some comments and feedbacks!