21–25 of 25 posts
Why not? It'd allow the cream to rise to the surface.
Despite the publicity surrounding startup investment, it can be really hard to secure a first meeting and at least this is another way to attract investors who would otherwise not know about, or look passed someone.
Earlier quoted context omitted.
Hey guys, Sam from YouNoodle here. The research and development project behind this was the biggest of its kind ever conducted. If you want to learn more about predictive analytics you can read some of the well-informed recent articles about Startup Predictor. Harvard Business Publishing: http://discussionleader.hbsp.com/anthony/2008/08/younoodle_i... The Telegraph: http://www.telegraph.co.uk/money/main.jhtml?xml=/mo…
From the Harvard Business Publishing Article: > "Before the 1950s, lending depended on the wisdom and judgment of loan officers. Then, a company called Fair Isaac developed a way to use four simple variables to develop a credit score that reliably predicted the risk of lending to an individual." That is a very misleading analogy. YouNoodle is not the present-day analog of Fair Issac. This goes back to the idea that w…
Even as a self-proclaimed math nerd, I'll be the first to admit that certain things just don't lend themselves well to predictive models. You can probably predict success in aggregate , but the individual cases are really tough to predict in situations where a lot of luck is involved (dating, starting a company, etc). Stop trying to find a mathematical formula for the success of a startup. It's hard to find a good on…
Aneesh, it's hard to provide an objective experience if you use fake data. Nevertheles, based on the data we analyzed, a 500k valuation was the most likely outcome for the profiles of entrepreneurs you entered, working on a startup for approx 2 hrs/week. Remember that this is a 3-year prediction and the hours is relevant to that initial timeframe pre-funding. Many of those teams will have increased their hours/week d…
I think that if it were this easy to predict the success of a startup, VCs would have figured this out a long time ago. Applying for funding would involve filling out a simple form of variables to be plugged into a magical equation. I don't think that this site accounts for the high probability of FAIL inherent in any startup. Probably just assumes that the company will continue along the growth path of previous SUCC…
I don't really understand why financing information of all companies isn't public by law. Companies are not people, they don't have a right to privacy.