How it is different from sites like Quora, Ask etc.,? What is the value Arima providing which none of the above providing?

I personally had situations where people mix up mentoring with do my work. I helped lot of people, out of those only one really worked as mentor-mentee, all others are like please have access to my computer and do it for me. I think your website will address that issue, where I can simply say, this is how it works, go and try.

But, if it is FREE service, users may misuse (or) mentors may not spend enough time. There should be some benefit structure. When I say benefit, it doesn't mean monetary, it could be anything else. Look at StackOverflow, no monetary benefit, but people go there because "reputation", which in-directly helps in lot of ways. Good luck!

Thanks for your feedback. At this point mentors will have to manage their own time.

By displaying only one message how can you back up that users will be forced to write meaningful messages? Is there any behavioral science you have observed?

My personal experience is that after a few messages almost every user used to it. It is obvious there will be users who won't like it and it's not the best messaging app for business talks or conversations where msg history is important.

1) Why ask locals when websites like weather.com available? 2) How a user can find locals to the location he/she would go? Before even worrying about recruiting/attracting users, I would try to spend sometime on identifying why this app is valuable comparing other well known apps. What is the pain you are fixing?

So happy to see your reply! 1) Websites like weather.com are informative, but they can not solve some realistic problems. You can see it's snowing in an area, but you can not see how the weather is affecting the road condition. You know the temperature is low there, but is heavy coat really needed? You know it's raining heavily there, but how heavy is it? Is it still ok to travel there? Howeather can give you a real-life measure of weather conditions, instead of just numbers. It solves more realistic problems. 2) How a user can find locals to the location he/she would go? This is what Howeather does! Users don't need to worry about how to find one. They just simply choose a location and ask, then Howeather will match them with the locals to get the answer ASAP. Plus push notifications, the delivery of the realistic weather information also becomes real-time in Howeather. I appreciate more questions :D

Nice one, will it send email for every check-in (or) only next GA/beta builds?

Thanks, it's based on GitHub releases (Git tags -- ex. https://github.com/twbs/bootstrap/releases). So anytime a new release is published it will send you an email with any details that they included with the release.

How is it different from freelance or elance websites?

Obviously photoshopping services online are hardly unique, but it is a bit different. For people who want photoshop work done, it's got a pretty simple upload / describe what you want done interface. It also allows you to set your own price -- but you won't be charged until you're happy with the work.

For photoshoppers, it guarantees payment and allows you to easily see what they want done. It also provides an easy place to look for work that you want done.

I think on top the hangouts it would be great have a section/page which lists some example usages for that library. That way everything related to library will be one place. Opensource Wiki. Good luck!

Though I liked how professionally you concluded the thread, I think his/her point is very valid. It would have been great proof to people like me if you could have listed your app strengths and why those are important comparing with yelp, whether he/she will use your app or not secondary. Selling to tough masters is the key part of business, isn't it? Good luck!

> Though I liked how professionally you concluded the thread

Thanks!

> Selling to tough masters is the key part of business, isn't it?

So they say.

I'm operating under the assumption that people will like it, or they won't. People will either want a fast, visual, dead simple way to find what's around them, or they'll want to read reviews and look at menus. This will not be great for everyone, guaranteed.

>This will not be great for everyone, guaranteed.

Good. As long as you are clear on your target market, that is good.

Nice app. I feel like another biggest advantage would be if we can popup reminder on ctrl+alt+del press. Most of the times users step will go out without realizing meeting scheduled. If user see the popup, it will be reminder for them.

That is a very good idea. But it means I need to intercept the default logout behavior of the system. I will check whether that is possible too.

I liked your business model (free API as PRO service by doing as manageable and customization services), Good luck!

I have few question, 1) What does it return as response to API call. I feel like API documentation is not good enough. 2) Is it text extractor tool (or) just image classification tool?

Hello,

Thanks for your comment.

Pastec only allows to recognize images. You provide reference images with their corresponding unique integer identifiers. Pastec extracts features for each reference image and stores them in its database.

When you perform a request, Pastec compare the features of the request image with the ones stored in the index. If it detects that the request image is similar enough to one or more images of the index, then it returns their identifiers.

You can for example use Pastec to recognize DVD, CD or Book covers in a mobile app.

Currently, it does not allow to extract text from images. The documentation indeed needs improvements. I will work on it.

I Hope I answered your questions!

In a nutshell at this moment it is classification tool, but not based on pre-trained model. So, when it looks for feature index does it pick the first available (or) it iterates for best available? good luck!

Inside Pastec, the images are represented using the visual word paradigm: http://en.wikipedia.org/wiki/Visual_Word During indexing, each image feature is assigned to the nearest visual word among a pre-trained set of 1 million. About 1000 visual words are extracted per image.