Kasir Kaki Lima
An offline-first point-of-sale app for street vendors and small shops, with stock, customer credit, reports and QR table ordering.
Services
Software designed around one specific problem, when an off-the-shelf product would force you to change how you work.
Custom work starts with the problem rather than the platform. The first conversation is about who does the work today, where it breaks, and what a first useful version would have to do. Web, Android or desktop is decided after that, and sometimes the answer is more than one.
Projects are split into milestones that each end in something runnable. Laras was built this way: eleven milestones from authentication through vocabulary, grammar, speaking practice and packaging, each with a short written plan before implementation. You see progress as working software, not as status reports.
It follows the scope: a single-platform app is Rp 5 – 20 million, a single-outlet system with offline mode Rp 20 – 60 million, multi-branch retail Rp 60 – 200 million, and enterprise systems start at Rp 200 million. The price is fixed in writing once the scope is agreed.
Yes. The source code in your repository, the architecture note and deployment access are handed over once the project is paid, with a 30 to 90-day bug warranty.
Describe the problem on WhatsApp and you get a reply within one business day. A written scope with milestones and a fixed price follows, and work only begins after you approve it.
Portfolio
An offline-first point-of-sale app for street vendors and small shops, with stock, customer credit, reports and QR table ordering.
A language learning app that keeps working with no signal, on desktop and Android.

A place to write stories and get things off your chest online, anonymously if you want, with full control over who can read them.
Services
A first online presence for a business: who you are, what you sell, what it costs and how to order, on one fast page that opens well on a phone.
Browser applications and the APIs behind them, from interactive front ends to data-heavy tools.
Android apps that keep working when the signal does not, built for the range of phones people actually own.
Installable Windows and Linux software with a local database and a small footprint.
Adding speech, text understanding and automation to a product, with a deterministic fallback and a clear view of what the model is responsible for.
Describe it in a few sentences on WhatsApp. You get a direct reply about scope, platform and a sensible first version.
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