Blog
Practical notes about desktop tools, workflows and how we build them.
- Open Source4 min read
Ollama, in plain words: what you can do with an AI model that runs on your own laptop
A non-developer walkthrough of Ollama — what it actually does, what you need before installing it, and the three situations where it is genuinely the right tool.
Read article - Open Source3 min read
Three free open-source photo tools, and which one you actually need
Upscayl, Immich and GIMP are all free and all open source, but they solve three completely different problems. Here is how to tell which one fits the job in front of you.
Read article - Local AI3 min read
Running vision models on your own machine: the four costs nobody mentions
Local inference is not free. It costs disk, memory bandwidth, VRAM and time-to-first-result — and only one of those has anything to do with raw compute.
Read article - Hosting & Infra3 min read
What a buy-once desktop product costs to run
One-time pricing does not mean zero running cost. Here is the short list of things that keep billing after the sale — and which of them you can make disappear.
Read article - AI Tools3 min read
How to evaluate an AI tool before you trust it with real work
A one-hour evaluation protocol: pick a task whose answer you already know, test the boring cases, inspect the failure mode, and decide in advance what happens when it is wrong.
Read article - Local AI1 min read
Building a batch image workflow that does not waste your evening
A practical checklist for setting up repeatable bulk image processing: naming, presets, verification and rollback.
Read article - AI Tools1 min read
Why we sell our tools as one-time purchases
Subscriptions make sense for services that cost money every month. Desktop tools do not. Here is why we chose buy-once pricing.
Read article