HackerReposA FIELD GUIDE TO OPEN SOURCE
ProSponsor the shelf♧ 0
← Back to top all-time
jodavaho
bashlog
Shell2020–2024
jodavaho / bashlog

bashlog

A stupid-simple bash logging utility

2Distinct people
8Mentions
0Explicit recommenders
89GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A stupid-simple bash logging utility

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year8 dated mentions

Observed mentions: 2020-01-01 00:54:08 UTC to 2024-10-20 19:44:15 UTC.

02462020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 6 mentions; 0 submissions, 6 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC606
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101

What Hacker News says

8 sources
I do something similar. Simple highlights on to-do items helps a lot. And using bullet journal style to-do markers help organization. - [ ] todo - [x] done - [-] failed - [v] dropped - [>] migrated - [^] scheduled - [<] delegated Easy to set up vim highlighting on those patterns. I have some examples here: https://jodavaho.io/posts/bullet-journalling.html And a bash setup here https://github.com/jodavaho/bashlog
In Ask HN: What tools do you use to manage your freelance projects?
I have a text file in a known location. It's backed up on git. I can open and edit that file quickly using bash. From within VIM I can quickly commit to reduce the # keystrokes. More details: https://github.com/jodavaho/bashlog#git-integration (Really though, you can just save as an environment variable your file location) The text file is structured with space-delimited text, like this: https://github.com/dkogan/vnlog My current structure for tracking a contribution to an OKR item (e.g. "meditate") by date (e.g., 2020-01-15) and amount (e.g., "1") is simply: "# date item amount" Easy to open, easy to plop down today's date and the item / amount. Save multiple date/item entries and add them inscripts ... Easy to save. Done. The work came in building stuff to plot it: I have other files that link "items" to goals or other metadata like ca
Read the rest
tegories, etc. Like a relational database, but easily edited in text. For example, to make a link from daily items to Key Results "# item okr" The OKR categories are usually Fighting (I box), Tech, Mental health, and Social, but YMMV Another example is "workout-mapping.vnl" with structure: "# item muscle-group factor" etc etc. vnlog has nice vnl-join commands that quickly build the table and all linked metadata and output formatted text (one command). Then reading that in R is easy ... ``` data <- read.table('../2020-Q4-OKR.vnl',skip=2,stringsAsFactors = FALSE) ``` Aggregating by date is easy: ``` data.agg<- aggregate(x=data$Amount,by=list(data$Date),FUN=sum) ``` Then plot using ggplot2. Examples from 2020 Q4 (just ran the numbers yesterday!) https://josh.vanderhook.info/media/okr.png https://josh.vanderhook.info/media/workouts.png https://josh.vanderhook.info/media/mood.png
In Setting up personal OKR (objectives and key-results)
Ive been writing almost every day for many years. My secret was to use Bash and write a few scripts to make it very easy to jot down thoughts. I also added a vim command to push it to github while editing. These just remove barriers to opening and syncing the file, but the concept is the same. You can see the result here: https://github.com/jodavaho/bashlog The result is a treasure trove of greppable data. Someday I was to apply some sentiment analysis ...
In Always Be Journaling (2018)

MAKE YOURSELF AT HOME

A few shortcuts

/
Search the collection
?
Open this guide
Esc
Close dialogs and navigation

Your saved repositories and interests stay in this browser.