This kind of reminds me of 6 minute abs vs. 7. Can't you make them 60 seconds vs. 90? lol. In all seriousness, it is in the category of Readwise for me where I do use it daily for quotes and tidbits of text that I want to remember and retain. Looks great.
If you run say ollama in docker vs native you lose MPS (metal core like the way CUDA works but Mac) which is really a deal breaker to do any AI work via docker for doing things with local models, which is my use case to have a full fast VM inside my mac.
I already use UTM and make a gold standard image that I setup once as beginning state snapshot. What am I missing here? This seems like it would take longer and more brittle to do the same thing? I also configure RAM, HD size, and CPU as well as networking and shared drives.
I hadn't updated this since 2019. Future state will probably give you more money to invest, like $500k or $1m or unlock bigger funding as your firm grows across rounds of gameplay. It stores leaderboard data in a local sqlite to track and lookup users and stats across games.
Came here to say this. I run private pypi repositories for this use case and it works fine. Ive had to thumbdrive over all of our dependancies from the wheels etc. A single bash script that runs all the checks and downloads and zips to the offline environment then use your pip install like normal with the login creds to your offline pypi registry.
My Mac OS bootstrap script to setup any new Mac from scratch. It includes niceties like moving the default screenshots from the Desktop to a more sane location, setting full disk encryption, and setting up privoxy & dnscrypt out if the box. https://github.com/james-see/fresh-mac
Passed all my tests for phone number variations including international notation, spaces, and parentheses. Welcome feedback and comments. This handled my use case for text parsing of phone numbers.
I built something similar in the past using TesseractOCR and Apache Tika and PyPDF2 / QPDF. The idea is sound. An API based OCR already exists in Apple / Microsoft / and Google so I am not sure this would be that useful. There would be no way for the user to trust that you are not taking the data you are OCR'ing and using it. If you can apply some type of one way encryption of the content and prove it via open source code (like Whisper Systems does for Signal) which seems like overkill and lots of effort for a free app.
I love this. I was trying to make an infinite indie playlist myself that would keep playing new things based on previous likes similar to thumbprint radio in Pandora. Im going to use this app right away to discover new music. Thanks a lot.
How are you loading the data for all of the public repositories? It looks very similar to the front page of https://hub.docker.com/. Assuming you are scraping / using the API to load all of that data?
I think this a solution in search of a problem. Using some open source text editors these days you can print to ebook formats (ePub, etc.) and both Kindle Direct Publishing (doesn't require ISBN even) and Blurb are two very popular routes to self-publish your works and already come baked in with print-on-demand services at no cost to the author.