THthrowaway71271·May 19, 2023Submission
Show HN: Unix pipe friendly ChatGPT client
2 points · Open discussionjackdoe
updown
Go2019–2023
jackdoe / updown
updown
just some string tools
2Distinct people
3Mentions
0Explicit recommenders
10GitHub stars
What to know before exploring
What it is
just some string tools
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:03:16 PM UTC.
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Mentions over time
HN mentions by year3 dated mentions
Observed mentions: 2019-03-25 20:33:18 UTC to 2023-05-19 12:40:12 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 2 | 1 | 1 |
What Hacker News says
3 sourcesI just built a tiny script to help me pipe stuff into chatgpt.
You can install it with:
go install github.com/jackdoe/updown/cmd/llm@latest
Or just fork it and change it for your needs (its so small I just put it in my go scripts repo).
I literally built it few hours ago and already am using it non stop, so decided to share it.
Example usages:
$ ls -al | llm which are the biggest files
$ git diff | llm write a commit message
$ git commit -a -m "$(git diff | llm write a commit message)"
$ cat file.csv | llm transform it into json
$ find . | llm -m gpt-4 which files probably contain configuration
It works pretty good, example csv to json:
$ cat a.csv
name,age
john,19
jane,19
jack doe,20
$ cat a.csv | llm transform into json
[
{"name": "john", "age": 1
Read the rest
9},
{"name": "jane", "age": 19},
{"name": "jack doe", "age": 20}
]
And of course to pipe it into itself:
$ cat a.csv | llm transform into json | llm transform to key by age
{
"19":[
{
"name":"john",
"age":19
},
{
"name":"jane",
"age":19
}
],
"20":[
{
"name":"jack doe",
"age":20
}
]
}
You can use -p @prompt1.txt -p 'then do the next thing' -p @prompt2.txt etc to construct more complicated prompt from multiple files, and use -m gpt-4 to use gpt4 instead of gpt3.5
PS: be careful not to send secrets, and of course know that openai will probably keep everything you sent to them until the sun scorches the earth and their servers die with it, so beware.
PPS: there are probably other clients like that, but since its only few lines I thoughts its better to have my own that i can tweak.
tbh you I wouldnt trust anyone with my encryption, that is why in Baxx I advise people to simply upload encrypted
cat file | encrypt -k .pass | curl --data-binary
cat file | encrypt -k .pass > file.enc && curl -T file.enc https://baxx.dev/io/$BAXX_TOKEN/file
(encrypt: https://github.com/jackdoe/updown/blob/master/cmd/encrypt/ma...)
offtopic: it is a bit annoying that cat | curl makes curl buffed the whole standard input, so for big files you have to either you have to do -H "Transfer-Encoding: chunked" or use -T file
2) dd block devices is very fragile, its better if you just tar --exclude/dev ... (https://help.ubuntu.com/community/BackupYourSystem/TAR - Alternate backup)
In Show HN: Baxx – Unix-friendly backup service