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So what happens if you steal from a charity and donate it to another charity? Is this cool? Hey it's all for good purpose :)

I think this service has good potential - cleverly bypasses legal issues and focuses on aggregation, which is unique. Well done!

I actually love how the word Joint has different meanings to different people. In San Francisco when people hear Joint....

Thanks! it's cool to talk synchronously (in the messenger) and asynchronously (on hackernews) with you at the same time. I really appreciate your feedback :)

We spent quite a lot of time working on Adobe Air's CPU issue. I think many crappy air based apps out there are like that and give the impression that Adobe Air always uses up CPU power, but we've been testing and optimizing this with several people for last month and the cpu usage stays around 0.1% most of the times, so please feel free to try again. Thanks!

Joint is an Instant Messenger platform built on top of your existing Twitter social graph.

* Here are some highlights: 1. Instantly IM with anyone on Twitter. 2. Private group chat with friends on Twitter. 3. Meet friends of friends through chatrooms.

I've created a sample chatroom for this thread. Please visit and try. As a regular HN heavy reader, I would appreciate some help and feedback from the community. Thanks! : http://joint.im/r/khPZl9sn4eg

Color makes all the difference.

You do know that this leads to angel.co and not your landing page, right?

High concept pitch and tagline are meant to serve different audiences. You could say "we're building airbnb of food" to investors, but that doesn't mean your main page should say "We're building airbnb of food".

First of all I have no idea what you're talking about, and I know what Airbnb is. Second of all, I'm pretty sure less than 1% of the U.S population have even heard about AirBnB.

Come up with a message that serves your customers, not investors.

Aren't they ultimately all built on top of Windows and Mac? (Which are proprietary technologies)

I'm using this with @HNFirehose ( www.twitter.com/HNfirehose ) added and it's working great. What do you guys think about using Lazyscope for subscribing to Hackernews articles?

But aren't all desktop applications built on proprietary technologies? I am curious.

Could you elaborate on what you mean by proprietary?

SOMA is either very expensive or very sketchy. Mission is a better place to live IMO.

Look up Craigslist and get a sublet.

Get a friend who's pretty active in the startup scene and friend that person. You will discover all kinds of interesting events that person's attending.

Well, the page does start with a link to "computer science":)

Wow this is pretty cool. Didn't realize that.

Yeah that's what came up to my mind at first. But it feels a little different. When you talk to Eliza, you know it's fake, but based on the video, the more you talk to this robot, the more you start to feel like you are talking to a human..... with a very low intelligence. And it's kinda creepy.

The robot's algorithm is based on a real live human being.

Do they have to work together? Or is the concept closer to just living and hanging out with like-minded people? I would love to live with friends who inspire me, but I already have my own work, so I don't know if I qualify.

There's a HeyZap fundraise party next week where many people from Ycombinator seems to be attending.

What is a hacker house? I even visited that site http://hackerhouse.bluwiki.com and googled it, but not much explanation.

No it's entirely a different problem.

For example, auto-tagging your pictures from 1000 photos is easy. auto-tagging from 10,000 photos is easy. Hell, auto-tagging yourself from billion photos is easy, and the difficulty doesn't increase with the size of the verification set.

But when it comes to "auto-checking in", accuracy is really important. Out of the entire world population--6,697,254,041--how many people do you think would look similar to you? And it only gets more difficult with all those little details such as hairstyle, makeup, etc.

The Minority report model of using retinal scanner works because the accuracy is really high, and is statistically and scientifically proven. Same goes for your fingerprint. But no matter how good the algorithm gets, it is impossible to create an auto-check in system by automatically figuring out who you are based on just image recognition.

Can you enlighten me on how you plan to differentiate yourselves from the existing real-time search engines like collecta, oneriot, etc.?

Based on my humble knowledge on machine learning, the "concept" of auto-detecting a person's identity based on her/his facebook pictures would be very far from accurate. And accuracy seems to be the key value proposition in this case. Maybe I'm missing something?