Comments on: YouNoodle offers investors a “start-up predictor”

By: edhardy622

edhardy622 — Wed, 14 Oct 2009 10:35:47 +0000

British law student sues Abercrombie-Fitch for disability discrimination.
http://www.abercrombieonsale.co.uk

By: Mi otro blog… » Blog Archive » YouNoodle predice el éxito de las start-ups

Thu, 16 Oct 2008 09:59:13 +0000

[...] a un lado el chiste obvio (i.e. ¿serán capaces de predecir su propio fracaso? ), estoy de acuerdo con Paul Kedrosky cuando afirma que si realmente fueran capaces de predecir el éxito de las start-ups de forma fiable, en lugar [...]

By: competitive analysis

competitive analysis — Fri, 04 Apr 2008 08:57:44 +0000

[...] [...]

By: Cambridge Cluster » Blog Archive » Algorithms to success

Cambridge Cluster » Blog Archive » Algorithms to success — Thu, 13 Mar 2008 16:14:40 +0000

[...] top group of Silicon Valley angels has backed two recent Oxford graduate to develop YouNoodle – pity about the name. I guess you add a magic ingredient (money) to the start-up noodles and you [...]

By: If You Build It Will They Come? at Idea Tagging

If You Build It Will They Come? at Idea Tagging — Wed, 27 Feb 2008 23:07:42 +0000

[...] of other startups. I say allegedly because following some bad press, the company has come out to clarify its claims. I don’t know about all that but whilst YouNoodle apparently focuses on the founders in [...]

By: Kaobanga.com Blog’as » Blog Archive » Veidrodėli, veidrodėli, pasakyk…

Wed, 20 Feb 2008 12:18:33 +0000

[...] kontroliuotų. Tačiau Kirill’as ir Bob’is aiškina, kad jie žvelgia į verslą iš kitos pusės: rizikos kapitalo investuotojai sugaišta daug laiko rinkdami ir analizuodami kasdienę [...]

By: KI + VC = YouNoodle.com « Laufwerrk

KI + VC = YouNoodle.com « Laufwerrk — Tue, 19 Feb 2008 15:33:51 +0000

[...] via Techcrunch und VentureBeat. [...]

By: The Web RoundUp: Feb 18, 2008 (updated) : unitedBIT

The Web RoundUp: Feb 18, 2008 (updated) : unitedBIT — Tue, 19 Feb 2008 04:29:12 +0000

[...] Two former Oxford University students are getting attention (and seed money) in Silicon Valley for developing new technology that automates aspects of the venture capital decision-making process. Kirill Makharinsky, 21, and Bob Goodson, 27, call their software a “start-up predictor,” and they say their company, YouNoodle.com, might give an edge to venture capitalists and other investors trying to decide whether to sink money into an early-stage company. “Give us some information, and we’ll give you some idea of what the company will be worth in five years,” Goodson said. More at New York Times, TechCrunch, VentureBeat [...]

By: Michael Staton

Michael Staton — Tue, 19 Feb 2008 00:18:45 +0000

If you applied their methods to them they would be a sure bet.

By: Rizwan Mallal

Rizwan Mallal — Mon, 18 Feb 2008 21:07:58 +0000

I wonder if they have applied their algorithms on their own company to predicts its success.
As one would say “eating your own dog food”.

By: Yuri Ammosov

Yuri Ammosov — Mon, 18 Feb 2008 19:54:24 +0000

Max Levchine would fail this test. In fact, he told a zillion times PayPal became THE online payment system because his encryption algorithm was much harded to hack than that of any other online payment competitor AND because Peter Thiel was so adept at dodging US banking regulators, being a former investment banker. It is ridiculous to assume that “one algorithm to fit and bind them all” will work – the main reason being that startups succeed not by being just like “the model startup” but by being DIFERENT. Go try capture difference.

What I can suggest is set up a mock portfolio managed by this algorithm and see how it fares over 2-3 years against a managed early stage fund. In past, technical analysis funds in the open markets lasted about 2 years before going bankrupt.

By: dave mcclure

dave mcclure — Mon, 18 Feb 2008 17:45:13 +0000

just because some data is fuzzy & qualitative in nature doesn’t mean it can’t be statistically significant and/or meaningful.

as any young male will tell you, the ability to spot a member of the opposite sex at 200 hundred yards away, from behind, wearing a raincoat, etc… is often enough data to make a meaningful assessment & potentially life-changing decision

all that matters is whether the algorithm they’re using has enough data to make relevant decisions & gets it right often enough to be more than random. or, at least less random than your average VC

best of luck to them.

By: Alex

Alex — Mon, 18 Feb 2008 16:13:52 +0000

‘…He explained that they’re trying to do with more mathematical rigor what an investor tries anyway through time-intensive diligence, that is, check into a team’s heritage, its network, success with early prototypes, etc., and then make conclusions about a team by comparing it with other founding teams’

Problem is, these factors you’ve pointed out are essentially qualitative assessments. As a destination and knowledge base for start-up info and as a networking portal, their idea sounds fine. Applying some algorithm to these elusive criteria? Not a chance…