fab1an

Give it a try. Raising money via Kickstarter will require you to generate some awareness and excitement around your project - being able to do so in a meaningful way could be proof to future investors (and more importantly yourself, too!) that you're actually able to not only build, but also market your product in an organic way.

As an aside, Kickstarter itself received quite some VC funding: http://allthingsd.com/20110317/kickstarter-fesses-up-the-cro...

EDIT: grammar

Hi Ajays,

we're offering EyeQuant as SaaS - you can book different flat rate subscriptions, starting at $199, or pre-paid packages for single projects...

Hi klochner,

thanks for your feedback! Co-founder here...

EyeQuant isn't replacing eye-tracking studies in the narrow sense - it's a completely new use case:

We predict the first 3-5 seconds, not more - but the results are available instantly via a web service (and as a flat rate.)

This helps you to optimize designs iteratively: you upload a screenshot, get the results and optimize the design accordingly - now the great thing is, that you can re-test your changed version instantly, which wasn't possible before.

In our lab, we do a lot of eye-tracking to just evaluate and the results (and refine the models) - here's a comparison with a large eye-tracking study conducted by Tobii: http://bit.ly/frTdh5

Glad to answer anymore questions.

PS: even if you deleted your comment! :)

Hi Arkitaip,

glad you asked - (I'm one of co-founders of EyeQuant.)

In a nutshell, EyeQuant's predictions use a model of human attention that is based on hundreds of empirical eye-tracking studies, which were conducted at the Neurobiopsychology Lab at the University of Osnabrueck, Germany - also, we're cooperating with Caltech and USC.

The models only represent the cultural background of tracked subjects - it's strictly data-driven. Our current model is representative for western subjects; it can't predict, e. g., people who usually read Farsi. It also only predicts the first 3-5 seconds.

Here's the method: In the eye-tracking studies, we present subjects with websites from different categories and track their fixations - more importantly, we also analyze the statistical features of the fixated spots (around 50 of them to date): color contrasts, luminance, shapes and location, to name a few of the very basic ones.

In the next step we build models based on the weight of these features and evaluate them with other eye-tracking studies as a gold standard. One eye-tracking study typically predicts another one with 90-95% accuracy for the first few seconds (ROC). With EyeQuant, and after 5 years of foundational research, we achieve around 84% predictive accuracy - that's pretty close to what you'll get with an empirical study, but the results are available within seconds.

Let me know if you have more questions!

Firstly, good job on the design: the most important elements of your landing page stick out within the crucial first few seconds...take a quick look at the following EyeQuant analysis, which shows what users will see within their orientation phase: http://www.flickr.com/photos/eyequant/5488580976/

Headline: check Screenshots: check Social Proof: check Call to Action for musicians: check

(EyeQuant is my neurotechnology startup - we deliver over 90% of eye-tracking study's accuracy within seconds via a web service at http://eyequant.com)

However, I think you want to work on your message(s). First of all, you have two audiences (as reflected by your two call to action buttons):

1. musicians who'd like their music to go viral 2. listeners who'd like to discover new music

It would make sense to either have two distinct blocks on your landing page, where each comes with a single value proposition that is tailored towards each target segment:

1. "Let your tracks go viral via Facebook!" <-- more often than not, headlines like these convert much better than generic product descriptions (as in your current message...) 2. "Discover and download free music now!" <-- note how the second call to action in your current design is barely visible. A good workaround would be to introduce a second color that reflects the "other" value proposition in general, too.