Show HN: How attractive is your website? Check using Visual Mind AI
myraah.io
myraah.io
Input: https://www.wikipedia.org/ Output: 38% of users are expected to like your site
Then I tried a number of sites with worthless huge hero images and got scores in the 80s.
I mean like all ai, take this with a grain of salt, but I think there is an obvious bias in this to the 'giant hero image that goes all the way to the fold' design that a lot of low effort start-up websites use.
I think the later makes more sense. Some kind of input from the users like "I actually liked the website visually" when the algorithm gives a low score and vice-versa would help the model be more accurate?
Providing a "what people might like better statistically" service is interesting, claiming you have a "the AI knows how the user will feel" algorithm is not a good strategy
It does have an AI running the analysis. I like my poetry website. Maybe the AI was trained on good poetry and reacted poorly to my stuff?
Looking at the "similar scores" carousel for higher scores was primarily huge hero images with little text.
https://myraah.io/index.php/visualmind/report/aHR0cDovL2pzen...
I've received a score of 26 and the similar websites were:
- Generic unstyled XML Access Denied document.
- Google account log in page.
- Generic unstyled "Your request has been blocked" text.
- "Please verify you're a human" HTML error message.
- Random JSON error message.
I entered my personal website, https://merely.xyz . That website is served with a single request; perhaps it's been classified as an error page because of that?
Visual Mind summary report for http://169.254.169.254/latest/meta-data
38% of users are expected to like your site
Yup. That's a security hole:
http://13.232.106.1/thumbs/visualmind/aHR0cDovLzE2OS4yNTQuMT...
https://myraah.io/index.php/visualmind/report/aHR0cDovL2F3c2...
The v2 service helps with this but it doesn't beat awareness of the issue.
Remove the space before the question mark.
In English, it is always an error. There should be no space between a sentence and its ending punctuation, whether that's a period, a question mark, or an exclamation mark. There should also be no space before a colon, semicolon, or comma.
This whole thing seems to me like it isn't any AI by the common understanding, but just a few hardcoded scores and criteria.
Now, thats probably wrong, and the AI is super neat, but I think it doesn't look very good when it does that.
I dont think the chances are high that so many different websites all score exactly 72%. Not 71, not 73, 72.
Its weird. Now the whole site looks nice and all, I saw the papers referenced, too.
But again, when I read that it's "97% accurate", I wonder how that is even measured? I understand that there are measures of how easy to use a site is, etc. So I wonder what cases those 3% were, where your AI was "wrong"? Did you hand-review them, or what?
Edit: 84% for percentage of people who'd like the website
> Your website is better than 72% of millions+ websites analysed by Visual MIND AI
for: http://doomlaser.com
What's it actually doing under the hood? Just taking a screen grab of the first few hundred vertical pixels x the full width? What's the actual resolution that it's grabbing, and how does the algorithm work and come up with scores? Is the system backed by some sort of data from a representative group of users?
I only realized it when trying it on itself : https://myraah.io/index.php/visualmind/report/aHR0cDovL215cm...
Also doesn't work on my website https://gistnoesis.github.io/StlToRelief/
Of my free games, the most personal and artsy is probably Standard Bits. It premiered at Gamma 256 in Montreal next to Jason Rohrer's Passage, and people have said some nice things about it over the years: https://doomlaser.itch.io/standardbits It takes place on a 100x54 pixel field, blown up to full screen, and you control a single pixel on a journey. Named after the low-level pixel blitter in the original Macintosh toolbox API..
> Visual Mind is an AI engine specifically designed for understanding and scoring visual appearance of a website. Visual Mind has analyzed over a million websites to achieve an accuracy rate of over 97%.
How does accuracy work in a project like this, where the result is subjective?
These suggestions need to be improved if they are going to be the output of this tool.
Better images? Define better. It doesn’t ask what the images or site are trying to achieve. Maybe for their intended purpose these images are the best.
And making it more dense? Again, why?
If you’re going to give design feedback it might be valuable to consider what valuable design feedback looks like. There are books on this.
Usually, you just know that I'm the training data, more sites with images like yours were more or less popular.
So
https://myraah.io/index.php/visualmind
netflix.com
primevideo.com
ALL score an exact 72%.
Not convincing.
Input: https://mtm.dev
Output: 38% of users are expected to like your site
https://ryhl.io/ https://myraah.io/index.php/visualmind/report/aHR0cDovL3J5aG...
This is an interesting concept and another way to get feedback besides asking friends / co-workers.
Would like to see the "Tips" section expanded in future iterations.
Website: https://keele.codes/ Report: https://myraah.io/index.php/visualmind/report/aHR0cDovL2tlZW...
http://yo.wtf report: https://myraah.io/index.php/visualmind/report/aHR0cDovL3lvLn...
96% of users are expected to like your site. https://myraah.io/index.php/visualmind/report/aHR0cDovL0Nhcm...
We use Bootstrap at CareDash with larger hero images on landers with clear calls to action. This structure tends to perform well on A/B Tests too as it leads the user to the action meant to be taken.
And I can't even save the images, because they are just all the same screenshot, base64-embedded in the HTML and then altered with JavaScript-based filters! What is that!?
Well, although I'm happy with the comment, that "72%" seems made up entirely.
I would really consider running a light weight network over a small image (down-scaled to something like 320x200), if you're only binning classes then you should be able to get it to <1ms on a low-power CPU. Given how much web pages vary, you'll likely need upwards of 10k training images.
Consider having some feature on your site to allow users to help rate pages (with moderation oversight).
It's a good start anyway! I look forward to seeing this in the future!
Edit: Also consider some expansion opportunities - rating screenshots of software interfaces, mobile phone apps, etc, etc.
DL model is trained on the GPU - heavy AWS instance..end point rests on smaller instance. Sometimes it gives faster results when you run a URL which it has already processed. It will happen in case of famous sites. For new sites it need to process the info so it takes about 10 seconds to create report.
Edit: Actually, all of the small/personal sites I've tried are failing, though a couple of big names worked. Is this a spoof?
https://myraah.io/index.php/visualmind/report/aHR0cDovL29pa2...
https://myraah.io/index.php/visualmind/report/aHR0cDovL05hcn...
How do I know this metric is any good?
What does “attractiveness” mean and what desired outcomes does it correlate to?
For example HN is ugly (sorry for the candor!) but it’s a plus - it’s a statement about what you write being most important and also by not changing the ui it’s lovely to use. Now compare that to Reddit which might come though as a prettier site at first glance but bitching about the Reddit ui and then someone mentioning old.reddit and friends is a trope: lots of people hate the Reddit ui. So on some metric that matters to me HN wins.
Finally - if I score X how do I actually improve the score?
I usually visit page performance sites to get some tips on things to improve on the performance, I think that this is a great idea to have a score on the appearance as well.
I got "You can further improve it by using better images and considering little denser layout." as a tip to improve, it would be great if there could be more details on the feedback.
Are there any visual design scoring systems that somewhat work?
[1] https://myraah.io/index.php/visualmind/report/aHR0cDovL2RhdG...
https://myraah.io/index.php/visualmind/report/aHR0cDovL3ZpY3...
Here are few websites with similar visual scores as yours Facebook.com Vogue.com Microsoft.com ... I think I'm in good company.
While my personal blog https://eruci.com is really ugly:
"38% of users are expected to like your site"
Same as "Google.com"
Visual Mind summary report for http://pornhub.com
72% of users are expected to like your site
My site is all about minimalism - https://www.anders.co/ - it got an average score. And I guess that is fair. It was also compared to google.com, which I would say is anything but average.
You can further improve it by using better images and considering little denser layout.
So as far as I think, we all have been had by this well designed funnel.>84% of users are expected to like your site
I now think your tool is the best thing since sliced bread!
https://golang.org/ --> 60%
As a Clojurist, and one who chooses languages based on the attractiveness of their homepage, I'm confused.
I'm using the publii default theme on my website and it ranks quite high. It said to get an even higher ranking I should consider denser content, which makes sense given I just moved to publii and it's a bit light right now.
I wonder how my geocities page from elementary school ranks?
I got “ Your website is better than 72% of millions+ websites analysed by Visual MIND AI” which implies above average.
Though it also spits out “your site is VERY GOOD”. Doesn’t quite gel with a 72th percentile score.
I don’t have an answer here but it got me thinking. Thanks for this demo! My company site scored a 72 and I might be happy about that.
Appreciate for highlighting this. We are fixing it.
Do I wonder how accurate this could be and what the training data is.
56% of users are expected to like your site
Overall your site has good layout and visuals. You can further improve your score by using more vibrant images.
With only two likes of text, which looks something like
Notes
--------------------------------
Wtire your notes here
https://techbio.org is reasonably close, with 44%
Moreover, a site like Facebook is attractive NOT because of its design (mainly) but because of the service it provides. So a Facebook designed clone will have no interest, even if it looks like Facebook.
To me, it looks like it's just the wrong tool for the problem to be solved
It looks like everybody is more or more tired of all the websites looking the same because of the "bootstrap"/"material" design. Your tool will only score any website against the tiring majority, so in fact I'm really not sure that it's such a good idea.
I think that a better - but really far more difficult - task would be to different and usable. But you can't achieve this only with "AI" on website: you need to add also some kind of graphic art knowledge and UX principles. Example: instead of considering a color scheme against what is used all over the place (hint: default bootstrap or default material), you should check color scheme against paintings or photographies, and score better what is "beautiful" AND original. Maybe you could add for example some link to kulers and that kind or color scheme design tool. THAT would make it a VALUABLE tool, because it would help the website to stand out and be usable...
Just my 2 cents
Neural nets can approximate any function as accurately as you'd like. Blindly shoving whole sites prelabled by their creativity into a convnet seems likely to end poorly, but that doesn't mean a better training method can't be applied which more faithfully represents the problem domain (no clue what the inside of this particular tool looks like, just commenting on the general infeasibility claim).
> So a Facebook designed clone will have no interest, even if it looks like Facebook.
Doesn't this site just claim that appearances also matter, not that a polished turd will be successful?
I agree: the main problem of "AI" is the knowledge base used. And the biais associated. Which mean that you can correct any biais by changing the reference... but introducing other biaises.
It would be possible to use such a tool either to focus on smaller tasks (let's say: focusing only on photo gallery of professional photographer websites) and be more specific (but less creative) or to grow the knowledge base to include paintings, architecture, object design to exact more general design principles (gestalt and so...)
In the end, the "AI" will be to create new "mixes" of different already used concepts... but I don't see how it would be able to create new concepts. The "AI" will - as much as I understand the technology - stay inside the space defined by it's knowledge base. If all the website of the knowledge base have only white or black background, the "AI" can't "think" to use a green background, because it doesn't have any inference mecanism to think of the background color as any color. It is limited to the background that was fed.
"AI" that does what we want is limited to whatever rules we impose on it. For a lot of problems the most efficient way to impose rules is to provide a set of samples and interpolate, but if we have some way to meaningfully define creativity (which I don't think will be feasible in general any time in the near future, maybe ever) then we can produce an architecture which matches that definition (and if we're hung up on the generative portion of that, a trivial though expensive way to accomplish generation is to enumerate outputs and check if they match our definition for creativity).
"AI" isn't limited to the samples it's given; it's limited to the biases we impose. We can explicitly impose a bias that says hue matters if we so desire.
However, the main problem with creativity is not reducing the knowledge base, it's finding new knowledges to extend the knowledge space consistently. Sometimes enumeration or automatic generation can help... but in that case, it's "only" a fixed set of meta-rules
Well thank you dear AI!
66% of users are expected to like your site :D