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/u/rjyo

Last updated 1 month ago

Summary #

Your best, your worst and the basics.

Limited to the 1000 most recent submissions and comments.

redditor since

Apr 15, 2011

14 years, 11 months ago

data available from

Jan 22, 2026

longest period between two consecutive posts

2 weeks

Jan 22, 2026 to Feb 09, 2026

gilded

0 submissions and 0 times from comments

submission karma

373 from 2 submissions

186.5 average karma per submission

212 total submission karma reported by reddit

comment karma

8334 from 892 comments

9.34 average karma per comment

7217 total comment karma reported by reddit

best comment

They actually do slip sometimes! Trains have sand dispensers that drop sand onto the rails when the wheels start to lose grip, especially in wet or icy conditions. You can sometimes hear a hissing sound from a locomotive as it pulls away from a station -- that is the sander. The reason they mostly grip fine is weight. A locomotive weighs 100+ tons, and all that weight pushes down through a contact patch roughly the size of a coin on each wheel. Friction force depends on both the coefficient of friction AND the force pressing the surfaces together. Steel on steel has a lower friction coefficient than rubber on road (roughly 0.3 vs 0.7), but the train is so absurdly heavy that the total friction force is still enormous. Think of it like this: try sliding a heavy cast iron pan across a steel countertop. The surfaces are both smooth and hard, but it still takes real effort because the weight creates a lot of friction. The low friction coefficient is actually a feature, not a bug. It means once the train is moving it takes very little energy to keep it rolling, which is why trains are incredibly fuel efficient compared to trucks hauling the same freight. (permalink)

worst comment

Great breakdown, especially the point about bridges adding debugging complexity. Went through a similar journey. One thing I landed on after testing different approaches: for native iOS apps specifically, Claude Code turned out to be surprisingly effective. The key insight is that Claude actually writes solid Swift/SwiftUI when you give it the right context. You can iterate much faster than with visual builders because youre working directly with the source code. The workflow I settled on: describe what I want, let it scaffold the screens, then refine. No export step, no code translation, just actual Xcode-ready Swift files from the start. For the backend guy who needs mobile apps angle you mentioned - if you already know how to work with APIs and understand data flows, Claude Code closes the gap faster than learning FlutterFlow or Sketchflow IMO. The mental model transfer is more direct. One tip: if you want to iterate on mobile stuff from your phone (like reviewing what the AI did while commuting), theres an app called Moshi that gives you terminal access to Claude Code sessions over SSH. Useful for kicking off changes or reviewing code when away from your desk. (permalink)

best submission

Claude made me an ASCII art cat that follows your mouse cursor (permalink)

worst submission

I Asked Claude to Compare My Setup to Ralph Loops. It Picked Mine. (permalink)

Synopsis #

Accuracy or making sense not guaranteed. Results may be incorrect or misleading.

Uncertain data is in orange. Follow # links for sources.

you like to discuss

entrepreneurship

you are

dev #

you like to discuss

conversational ai

programming

saas businesses

software development and career ad…

large language models

you live(d)

in terminal-first workflows #

you have a

Your top subs #

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Your Top Subs

Best Average Karma

Worst Average Karma

Activity Over Last 60 Days #

Needs more purple.

Darker dots mean more activity. All times in UTC

Activity Timeline #

Further proof that you have no life outside of reddit?

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Activity by Weekday #

Bored on reddit? Let's see what's on reddit.

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Activity by Time of Day #

Do you even sleep, bro?

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Posts Across Topics #

Jack of all trades, master of some.

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Submissions By Type and Domain #

Those who can, submit. Those who can't, lurk.

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Activity Across Subreddits (by Karma) #

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Activity Across Subreddits (by Posts) #

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Most Common Words #

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Size of a word is directly proportional to its frequency.

Common Words Table #

Don't forget to use that new word you learned!

Your word frequency.

Word Frequency
claude 946
code 864
people 460
ai 438
thing 416
real 348
context 320
things 317
terminal 313
work 311
app 307
agent 251
phone 231
project 223
building 219
file 210
time 206
works 201
build 198
run 188
problem 186
start 183
coding 180
running 178
ssh 175
check 175
model 173
files 167
moshi 166
agents 165
good 163
back 158
users 157
biggest 156
session 155
specific 154
mobile 147
sessions 146
tools 144
approach 144
helped 143
makes 142
dev 140
tasks 139
workflow 138
built 138
actual 135
specifically 135
make 130
full 130
similar 121
part 117
tool 117
small 117
honestly 115
curious 115
free 115
basically 114
stuff 113
great 112
lot 112
write 110
add 109
working 108
api 108
data 107
product 107
worth 105
task 103
review 102
point 101
mosh 101
genuinely 99
find 97
give 97
feature 96
solid 95
long 93
fast 91
hit 90
exact 90
plan 90
ios 89
set 88
apps 88
handles 87
reads 86
feel 85
handle 85
day 84
codebase 84
opus 84
simple 84
side 84
months 83
made 82
early 82
found 81
read 81
key 81
test 81
runs 81
feels 80
quick 80
main 80
output 79
writing 78
hard 76
single 76
projects 76
sounds 75
local 74
break 74
idea 74
called 73
protocol 73
issue 72
setup 72
architecture 71
system 71
access 71
experience 71
faster 71
machine 70
describe 70
means 70
pay 69
auth 69
server 69
content 69
big 68
fix 68
pattern 67
pick 67
tmux 65
connection 65
worked 65
native 65
days 64
multiple 64
nice 63
put 63
huge 62
pretty 62
conversation 62
tests 62
open 62
cursor 62
gap 61
case 61
fact 61
directly 61
changed 60
docs 60
difference 60
mode 59
end 59
understand 59
prompts 59
voice 59
approve 59
push 58
quality 58
loop 58
thinking 57
started 57
complex 57
debugging 57
patterns 57
page 57
git 56
input 56
mentioned 56
daily 56
security 56
lets 56
edge 55
error 55
matters 54
decisions 54
memory 54
interesting 54
ended 54
problems 54
catch 54
features 54
rules 54
store 53
skill 53
question 53
wrong 53
weeks 53
answer 53
step 53
search 52
hours 52
feedback 52
state 51
spend 51
surprisingly 51

Corpus Statistics #

If only you had typed this much for that college essay...

Time spent calculated using average of 40 WPM.

Your Typing Stats

total words in your posts

148661

unique words

9146 (6.15% of total words)

time spent typing posts

61.94 hours

karma per word

0.06