SShortSingh.
Back to feed

Developer Builds Live Claude AI Usage Monitor on $38 LCD Cooler Display

0
·1 views

A developer has created a real-time heads-up display (HUD) that shows Claude AI usage statistics directly on the LCD screen of a Thermalright Trofeo Vision CPU cooler. The project repurposes the cooler's built-in display, which retails for around $38, as a dedicated monitoring panel. The source code has been published on GitHub, making it available for others to replicate or adapt. The build appears aimed at users who want at-a-glance visibility into their Claude API consumption without switching windows. It was shared on Hacker News as a community project, though it attracted minimal discussion at the time of posting.

Read the full story at Hacker News

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Claude Impact Lab LA Turns Civic Idea Into Collaborative AI-Built App in One Day

At a Claude Impact Lab event in Los Angeles, a government employee brought an unbuilt idea called Agenda Watch — a tool to make city government meeting agendas searchable in plain language — and turned it into a working app within a single day. The event, hosted by Claude community ambassador Travis Johnson and Evan Grenda at Intersections LA, paired developers and non-developers to build solutions inspired by earlier community conversations about AI's impact on work. By the end of the session, the project had four contributors and was renamed CiviQ, with its first code commit written that day. The app aims to help residents easily search municipal agendas across multiple boards and commissions, returning results with direct links to source PDFs for verification. The creator, who typically builds alone using Claude Code, credited the collaborative environment for both the product's evolution and a personal shift in confidence around group building.

0
ProgrammingDEV Community ·

17 checks to demand in writing before hiring anyone to migrate your Shopify catalog

A catalog migration auditor has published a 17-point checklist that Shopify store owners should require vendors to commit to in writing before any migration begins. The list covers critical data integrity checks including product and variant counts, SKU uniqueness, pricing accuracy, image assignments, URL redirects, and metafield preservation. Each item on the checklist includes a simple manual verification method — such as comparing row counts or clicking sample image URLs — that requires no specialist tools. The author also recommends agreeing upfront on remedies if any check fails, and documenting pre-existing data issues to avoid disputes later. The piece warns that a vendor's reluctance to sign such a checklist is itself a red flag worth heeding.

0
ProgrammingDEV Community ·

Developer Builds Battery-Efficient Android Geofencing Engine to Auto-Manage Phone Profiles

A developer has detailed the architecture of a low-power geofencing system for Android that automatically switches phone sound profiles based on physical location. The project was motivated by the common problem of forgetting to silence a phone in places like mosques, offices, or medical clinics. Instead of battery-draining GPS polling, the solution uses Google Play Services' GeofencingClient, which relies on a combination of Wi-Fi, cell tower, and GPS data managed at the OS level. A PendingIntent tied to a BroadcastReceiver ensures the geofence triggers remain active even if the app process is killed by the system. The developer also flagged unexpected complications with Android's Doze mode affecting GPS precision during background operation.

0
ProgrammingDEV Community ·

Developers Build AI Agent That Reads Blood Sugar Data and Orders Groceries Automatically

A tutorial published on DEV Community demonstrates how to build an autonomous nutritionist agent that monitors continuous glucose monitor (CGM) data and takes real-world action when low blood sugar is detected. The system uses LangChain to analyze health metrics and determine whether a nutritional intervention is needed. Browser-use, paired with Playwright or Selenium, then automates web browsing to search for and add suitable low-glycemic foods to an online grocery cart. The three-layer architecture consists of a data input stage using CGM reports, a reasoning brain powered by a large language model, and an action layer handling browser navigation. The project highlights a broader shift toward action-oriented AI agents that bridge health data analysis with automated real-world tasks.

Developer Builds Live Claude AI Usage Monitor on $38 LCD Cooler Display · ShortSingh