Not even a Valkyrie can do everything, so I'm very happy that so many people have helped. And I thought, what can I do for you? Yes, I know what you want, obviously, I meant apart from that. Well, I'm an author too, and I know how annoying it is to put something out there, and you never even know if anyone is reading it. And all the feedback you ever get seems to be non-constructive criticism.
The fact is that people do appreciate your efforts, even though they don't say they do. And I can show you how much, by giving you access to the logs that I run each day, which shows how many accesses each file had. You can look up your own statistics, and know that you're appreciated, even if no-one ever emails you.
For authors, it might also help you to know which of your stories people like most, although the stats will be influenced by where I put it on the list, and by the comment I put next to it.
For picture contributors, you'll get some idea of what pictures people most like. Because they see the thumbnail before accessing the picture, you can be sure they access the picture because they liked the look of it.
So thank you for your efforts in the past, and for what you'll be doing in the future.
Here's the current version of Diana the Valkyrie's Writing Guide. This might help you with a few of the common punctuation errors that people make in writing, and also explains my policy on what I'll accept for the site.
It helps me enormously if you format the stories in the way that the site needs them to be formatted. Here's Diana the Valkyrie's Formatting Guide.
But most authors don't do that, they send them to me in any which format. So I'm grateful to the volunteers who help with the proofing, and here's Diana the Valkyrie's Proofing Guide.
I also have some Writing Tools that you can use - a Readability calculator (Gunning Fog Index) and a spell checker.
Message board for contributors to Diana's Web site
The web site is accessed by a lot of people every day, and it logs every single access. I analyse these logs to produce useful information out of the mass of raw data.