Hacker News Simulator
Other
parody
SHOW HN2015
572points
163comments
#16of 2,565 in 2015
Top 1%of 2015 by points
How HN took it
LovedMost comments that take a side are positive
58 positive, 41 neutral or asking, 3 mixed, 7 critical, out of 109 comments about the project. Thread score +0.40.
Idea: 45 for, 0 againstExecution: 6 for, 4 againstDesign: 3 for, 1 againstPrivacy: 0 for, 1 against
The thread, comment by comment
Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.
positive neutral or mixed critical about another commenter or something else the maker
What HN said
What people liked
Funny and convincing fake titles and comments
From 4 comments
This is perfect. I opened it on a new tab, and went off to read another article. After coming back and opening multiple links I found myself thinking "where are all this posts…
ricardobeat on HNYou could probably solve more nonexistent problems with caching than by limiting thread depth.
krapp on HNI opened it in a background tab, lost track of it for a while, ended back there thinking it was the normal ycombinator and unwittingly spent a couple minutes thinking "wtf is up…
erlend_sh on HNOh man, I almost did this awhile ago. I even registered http://ycornbinator.com Very convincing fake.
justin_vanw on HN
Objections
Text is grammatically wrong and easy to tell apart from real HN
From 1 comment
It would seem the texts were all written by Markov Chainy, which is why they are grammatically wrong. I would have preferred a grammar-oriented text generator. It's still too…
tempodox on HN
Requests
Release the source code on GitHub
From 1 comment
Have you open sourced the code on Github? Would love to play around with this.
caser on HN
Questions
Is there deep learning involved or only statistics
From 1 comment
Does that mean that there is no deep learning here, only statistics and randomization?
tajen on HN
Alternatives named
subredditsimulator (Reddit)
From 1 comment
Yep, it uses the same technique. I've pulled every comment and story from HN through the API and make a bunch of Markov chains to produce story titles and comments. The input…
orf on HN