Greg Hluska is a software developer, consultant and product founder based out of Regina, Canada.
Based out of Regina Canada, Greg Hluska is a product-obsessed software developer, consultant and founder. Educated in marketing, Greg has spent almost his entire career either in and around startups or providing startup level technical consulting for non profits. A gifted publisher and writer, Hluska won an award for his first publication and has since founded two more.
Outside of work and products, Greg is a proud parent to a ten year old. They own a three year old cat with anger management problems. A lifelong baseball fan, he manages a fantasy baseball team and follows the New York Yankees religiously. Running long distances, learning about fitness, reading about economics and history and listening to music fill the rest of his time.
Founded by a startup founder in 2010, Greg Hluska Consulting specializes in helping companies solve their hardest technical problems. Sometimes that involves helping a very early stage founder build an MVP. Other times, it involves helping more established startups migrate their services over to AWS.
Starting in 2024, GHC started staffing highly skilled developers, designers and project managers on other projects. So whether you need a fractional CTO, an MVP or a whole team spun up, GHC can help you.
Do you want to scrape the content on here? Go ahead - scraping is a great way to learn the intricacies of our beautiful web and knowledge is meant to be free. My robots.txt file is extremely permissive and while I do secure against certain types of attacks, an ethical scraper would never run into problems.
If you have problems scraping the content on here, get in touch with me. If you will post your code somewhere, I can show you where you're going wrong.
A reflection on Apache, Nginx, DNS, modern web abstractions and why older debugging tools like dig, curl and openssl still matter. The article uses a farmyard analogy to explain why a domain is an address into a complex operation, not the operation itself.
A follow-up to the Lahman baseball benchmark using 18.2 GB of NYC Yellow Taxi CSV data. PyArrow was faster in all 48 file-level comparisons, but the real lesson is still about data shape, absolute time, and choosing the right tool for the work.
Practical guidance for using generative AI in fantasy baseball, including avoiding overengineered draft tools, handling data scraping responsibly, and using chat to challenge research assumptions before writing code.
I build small browser tools for practical web and software work. They run locally in your browser, require no account, and do not upload your files to a backend. Some are polished. Some aren't...at all. All of them are built because not every single thing has to be a data collection exercise. There's a Bill Hicks reference in there somewhere...
Format and minify JSON in your browser without uploading your file to a server. Paste JSON or open a local file, then copy clean formatted or minified output. If you're worried about uploading your file to a random person's server, go offline and try using this tool. It will work just fine.
This is the best fit for normal JSON files: one complete object, array, string, number, boolean or null.
Format NDJSON and JSONL in your browser without uploading your file. Paste text or open a local file, then search, expand, collapse, copy, and inspect each record by its original line number. Like the JSON Formatter, this tool runs locally in your browser and works fully offline.
This is the better tool when your file has one JSON object per line, especially for logs and streamed data.
Generate a Django secret key for local development and learn how the Django implementation works. It is a small tool, but it is also a useful way to think about randomness and developer trust.
Like the other tools on this site, it runs in your browser and does not require an account or backend upload. You still shouldn't use it for production (and the tool will explain why). In fact, you really shouldn't use it at all (and the tool will explain why).
Paste JSON-LD or a full structured data script tag, then check whether it is valid JSON, inspect it as an expandable tree, and review common issues before publishing. It runs locally in your browser and does not upload your structured data anywhere.
This is not a full Schema.org validator or a Google rich results test. It is a small preflight check for catching obvious problems before you hit git push and make the internet witness your typo.
Paste your SCSS color variables, then generate a visual matrix showing contrast ratios and WCAG AA/AAA results for each pairing. It is useful when you want to see how a palette behaves before accidentally inventing invisible text.
This one is still rough around the edges, but I use it in real projects. It runs locally in your browser and is a handy little accessibility helper when choosing interface colors.
Browse every free browser tool on hluska.ca, including JSON, NDJSON, JSON-LD, contrast checking, and developer utility tools. They are small, practical, and built for tasks that should not require an account or a mysterious server trip.
Some are polished, some are experiments, and some may eventually be replaced by better ideas. The common thread is simple: useful tools should respect your files, your browser, and your time.