My Mac slept through its cron jobs, so I made goguma, a menu bar app
Hi HN, like many of you likely do, I run cron jobs throughout the day/night, but can't afford to have my laptop open all day. So, I decided to build goguma, a free, open-source Mac menu bar app that wakes your Mac only when a cron job/automation is scheduled to run. Unlike caffeinate, Amphetamine, or Adrafinil, which can only keep an awake machine awake, goguma can wake a sleeping machine. It automatically imports all your jobs across launchd, crontab, Hermes, etc, alongside detecting agent activity through hooks. The Mac menu bar app will also show you which job it'll next wake…
What it does
Wakes your Mac for scheduled jobs, holds it awake while long work finishes, and lets it sleep otherwise. Finds the cron jobs that have been missing runs; keeps a coding agent running with the lid shut. - junnam586/goguma
Wakes your machine for scheduled jobs, holds it awake while long work finishes, and lets it sleep otherwise. getgoguma.com · Download · Security · Coding agents · Architecture · Updates goguma wakes your machine shortly before each scheduled job, keeps it awake while the job runs, and lets it sleep again as soon as the job is done. goguma doesn't run your jobs; it makes sure the laptop is awake when they fire. A sleeping machine doesn't queue the jobs it missed and catch up later. It misses them outright. Nothing fails, nothing retries, and no error is written anywhere, because as far as the scheduler is concerned nothing went wrong. You find out weeks later, when you notice the digest you…from github.com
In the maker’s words, at launch
Hi HN, like many of you likely do, I run cron jobs throughout the day/night, but can't afford to have my laptop open all day. So, I decided to build goguma, a free, open-source Mac menu bar app that wakes your Mac only when a cron job/automation is scheduled to run. Unlike caffeinate, Amphetamine, or Adrafinil, which can only keep an awake machine awake, goguma can wake a sleeping machine. It automatically imports all your jobs across launchd, crontab, Hermes, etc, alongside detecting agent activity through hooks. The Mac menu bar app will also show you which job it'll next wake for. It remains safe by skipping wake-ups if it's lower than a battery threshold, and lets the mac sleep if it starts overheating. Happy to hear any feedback and suggestions!
Does the same job
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com