Startup Study Group
medium.com/startup-study-group · Group blog · on HN since 2015
Startup Study Group is a Medium publication collecting founder stories and lessons on fundraising, product management, launches and shutdowns.
What HN saysHN links it for founder stories like the Photoshop anthropology piece and the music startup shutdown tied to Apple; commenters mostly cross-reference posts.
26HN people shared it
5linked it in comments
55stories submitted
296story points
8 years agolast shared
2015people per year2026
Most-shared posts
- 1My Two Years as an Anthropologist on the Photoshop Team (2015)3 people · 78 points · first shared 2016 · 12 comments on HN
- 2How Apple Influenced the Labels to Shut Down My Music Streaming Startup (2015)3 people · 3 points · first shared 2015 · discussion on HN
- 3This is what happens with most Product Hunt launches2 people · 6 points · first shared 2016 · discussion on HN
- 4Why Product Managers Hate Vacations2 people · 5 points · first shared 2016 · 5 comments on HN
- 54-point story structure for Fundraising2 people · 2 points · first shared 2015 · discussion on HN
- 6Independent Music Is Big1 people · 47 points · first shared 2015 · 23 comments on HN
- 7Yelp: Slow Growth Lessons1 people · 31 points · first shared 2015 · 10 comments on HN
- 8The story of Vatler’s shutdown1 people · 19 points · first shared 2015 · 6 comments on HN
- 9The Truth Will Set You Free1 people · 10 points · first shared 2016 · discussion on HN
- 105 Things I’ve Learnt Since Leaving a Corporate Job (and Starting a Startup)1 people · 10 points · first shared 2016 · discussion on HN
- 11How our startup learned to move 5 times more quickly1 people · 9 points · first shared 2015 · discussion on HN
- 12Hello world, we are Rize1 people · 8 points · first shared 2016 · discussion on HN
- 13Why we created a startup for startups1 people · 4 points · first shared 2015 · 1 comments on HN
- 14Send tweet when user gets active1 people · 4 points · first shared 2015 · discussion on HN
- 15Innovating in a Highly Regulated Industry1 people · 3 points · first shared 2015 · discussion on HN
What HN people wrote when they linked it
zer00eyz · 2016-06-09
The underlying idea behind what he did here is sometimes called Ethnography. There was another great article a while back on this going on at adobe/photo shop: https://medium.com/startup-study-group/my-two-years-as-an-anthropologi…
As far as tools go, ethnography can be very powerful in the right hands.
vikasr111 · 2015-08-27
We all love to read and discuss startup funding, don’t we. It works as adrenaline for current and future entrepreneurs. I created this small product called FundingHunt, one place where you can check out all the funding stories, post new stories, upvote funding event of companies you love and admire, dive into discussions and give your opinion at http://www.fundinghunt.co/
Here is a Medium post about the story behind FundingHunt. https://medium.com/startup-study-group/why-did-i-create-fundinghunt-1d…
It'll be my pleasure to answer your questions and queries about FundingHunt.
tmcpro · 2017-04-03
I wrote about exactly this: https://medium.com/startup-study-group/why-i-wont-sign-an-nda-4193aeda…
meeper16 · 2016-02-10
Interesting to know that Apple is sometimes behind stuff like this https://medium.com/startup-study-group/steve-jobs-made-warner-music-su…
KasianFranks · 2019-01-10
Inaccurate. This is absurd. Epigraphy is the basis of all modern NLP/NLU. Add computational epigraphy, neuroscience, linguistics and cognition. Ref: Word2Vec is based on an approach from Lawrence Berkeley National Lab
""Google silently did something revolutionary on Thursday. It open sourced a tool called word2vec, prepackaged deep-learning software designed to understand the relationships between words with no human guidance. Just input a textual data set and let underlying predictive models get to work learning."
“This is a really, really, really big deal,” said Jeremy Howard, president and chief scientist of data-science competition platform Kaggle. “… It’s going to enable whole new classes of products that have never existed before.” https://gigaom.com/2013/08/16/were-on-the-cusp-of-deep-learning-for-th…
Spotify seems to be using it now: http://www.slideshare.net/AndySloane/machine-learning-spotify-madison-… pg 34
But here's the interesting part:
Lawrence Berkeley National Lab was working on an approach more detailed than word2vec (in terms of how the vectors are structured) since 2005 after reading the bottom of their patent: http://www.google.com/patents/US7987191 The Berkeley Lab method also seems much more exhaustive by using a fibonacci based distance decay for proximity between words such that vectors contain up to thousands of scored and ranked feature attributes beyond the bag-of-words approach. They also use…