The Noisy Channel
thenoisychannel.com · Personal blog · on HN since 2008
Daniel Tunkelang writes about search, information retrieval, software patents, and recommender systems.
What HN saysHN links it in startup and patent discussions, and commenters recall its posts on fair use and SEO and on software patents.
24HN people shared it
3linked it in comments
28stories submitted
357story points
2 years agolast shared
2008people per year2026
Most-shared posts
- 1Retiring a Great Interview Problem2 people · 174 points · first shared 2011 · 117 comments on HN
- 2Software Patents as Innovation Tax, Rather Than Catalyst for Innovation2 people · 58 points · first shared 2011 · 12 comments on HN
- 3The Macroeconomics of Information and Attention: How People Make Decisions2 people · 8 points · first shared 2009 · 6 comments on HN
- 4A Twitter Analog to PageRank2 people · 3 points · first shared 2010 · discussion on HN
- 5Software Patents: A Personal Story1 people · 24 points · first shared 2009 · 16 comments on HN
- 6Wolfram Alpha: First-Hand Impressions1 people · 21 points · first shared 2009 · 8 comments on HN
- 7Google’s Peter Norvig Offers Kind Words for Bing, Exploratory Search1 people · 20 points · first shared 2009 · 11 comments on HN
- 8WTF k: Measuring Ineffectiveness in IR and Recommender Systems1 people · 9 points · first shared 2012 · 1 comments on HN
- 9LinkedIn Search: A Look Beneath the Hood1 people · 8 points · first shared 2010 · 2 comments on HN
- 10Content, Connections, and Context1 people · 8 points · first shared 2012 · discussion on HN
- 11An Open Letter to the USPTO1 people · 4 points · first shared 2010 · 1 comments on HN
- 12Strata 2012 highlights - Big Data is Bigger than Ever.1 people · 2 points · first shared 2012 · discussion on HN
- 13Google Image Search Gets Style1 people · 2 points · first shared 2008 · discussion on HN
- 14Is Google Evil? The Great Debate1 people · 2 points · first shared 2009 · 2 comments on HN
- 15Is Amazon's MTurk Holding Back the Rise of the Machines?1 people · 2 points · first shared 2010 · discussion on HN
What HN people wrote when they linked it
zio99 · 2012-07-10
I've spent some time pondering over this, so here's my 2 cents:
1. Build your product first.
2. It's expensive. If you still believe your idea is unique[1], hire help.
3. Algorithms are not patentable. Systems and methods are.
See: http://paulgraham.com/softwarepatents.html
If you want to patent an algorithm, you have to frame it as a
computer system executing that algorithm. Then it's mechanical;
phew. The default euphemism for algorithm is "system and method."
Try a patent search for that phrase and see how many results you
get.
4. It's a long process. See PG's footnote:
[3] Applying for a patent is now very slow, but it might actually
be bad if that got fixed. At the moment the time it takes to get a
patent is conveniently just longer than the time it takes a
startup to succeed or fail.
and this: http://paulgraham.com/startupfaq.html
There are two kinds of patent suits:
1. Random people suing you in the hope of getting money.
2. Competitors suing you in order to destroy you.
Until you're successful, you won't have to worry about the first
type. And once you are successful, you'll inevitably have a lot of
them to deal with, valid or not. So fatalism is the right plan for
type 1 suits.
and the classic: http://paulgraham.com/wealth.html
One way to put up barriers to entry is through patents. But
patents may not provide much protection. Competitors commonly find
ways to work around a patent. And if they can't, they may simply
…
dtunkelang · 2009-06-20
Thanks. I'm sensitive about parasitic blogging--in fact, I've blogged about it: http://thenoisychannel.com/2008/12/20/fair-use-and-seo/
In this instance, my genuine hope was to get people to read Jeremy's post, and an unsolicited email from Jeremy about his spike in traffic--which is how I found out that HN had picked up my post--assures me that I accomplished that.
abeppu · 2025-03-15
It's interesting to see how some ideas keep looping around. When I see this I'm reminded of a startup Modista from ~2008 which did visual-similarity for browsing fashion products. Here's a writeup from a point when they did only shoes, but I know they expanded beyond shoes at somepoint: https://thenoisychannel.com/2008/11/05/modista-similarity-browsingfor-…
I think they died over legal issues with rights to product images.
But in the vibewall demo, I wonder if the embedding is capturing the right similarity concept for this application. E.g. in the results most similar to this men's polo, I see a bunch of henleys, a women's quarter-zip pull-over, a women's full-zip fleece, a men's tank, a women's top with a plunging neckline, even a baby wrap! These are appropriate to be worn by different people in different social contexts and in different seasons. The main visual similarity seems to be that they include human upper bodies on white backgrounds? https://vibewall.shop/?id=c43bc222-e68b-11ef-8208-0242ac110005