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nafey
minimalytics
Go2025–2025
nafey / minimalytics

minimalytics

Standalone analytics app in a CLI

2Distinct people
3Mentions
0Explicit recommenders
351GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Standalone analytics app in a CLI

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, 3:56:07 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 day3 dated mentions

Observed mentions: 2025-03-20 19:33:30 UTC to 2025-03-30 23:51:30 UTC.

012025-03-20 00:00:00 UTC to 2025-03-21 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMar 202025-03-21 00:00:00 UTC to 2025-03-22 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-03-22 00:00:00 UTC to 2025-03-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-23 00:00:00 UTC to 2025-03-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-24 00:00:00 UTC to 2025-03-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-25 00:00:00 UTC to 2025-03-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMar 252025-03-26 00:00:00 UTC to 2025-03-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-27 00:00:00 UTC to 2025-03-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-28 00:00:00 UTC to 2025-03-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-29 00:00:00 UTC to 2025-03-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-30 00:00:00 UTC to 2025-03-31 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMar 30

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
Mar 202025-03-20 00:00:00 UTC2025-03-21 00:00:00 UTC110
Mar 212025-03-21 00:00:00 UTC2025-03-22 00:00:00 UTC101
Mar 222025-03-22 00:00:00 UTC2025-03-23 00:00:00 UTC000
Mar 232025-03-23 00:00:00 UTC2025-03-24 00:00:00 UTC000
Mar 242025-03-24 00:00:00 UTC2025-03-25 00:00:00 UTC000
Mar 252025-03-25 00:00:00 UTC2025-03-26 00:00:00 UTC000
Mar 262025-03-26 00:00:00 UTC2025-03-27 00:00:00 UTC000
Mar 272025-03-27 00:00:00 UTC2025-03-28 00:00:00 UTC000
Mar 282025-03-28 00:00:00 UTC2025-03-29 00:00:00 UTC000
Mar 292025-03-29 00:00:00 UTC2025-03-30 00:00:00 UTC000
Mar 302025-03-30 00:00:00 UTC2025-03-31 00:00:00 UTC101

What Hacker News says

3 sources
I am working on a standalone CLI tool that can do analytics find it here: https://github.com/nafey/minimalytics Motivation for the project: > This project was born out of the need for a lightweight analytics tool to track internal services on a resource-constrained VPS. Most SaaS analytics products either lack the scalability or exceed their free tier limits when tracking millions of events per month. Minimalytics addresses this gap by offering a minimalist, high-performance solution for resource-constrained environments. I recently did a Show HN which you can find on my profile.
In Ask HN: What are you working on? (March 2025)
nafey·Mar 20, 2025Submission

Show HN: Minimalytics – a standalone minimal analytics app built on SQLite

Hi everyone! I wanted to share my analytics app with you. This project came from requirements to track certain very frequent events. I found that the cost to do it on a regular analytics product was much more than i was willing to pay. Secondly, I also wanted to use as few resources as possible. So I thought it may be a good idea to create something that may be useful for myself (and hopefully others). I have been able to track a great number of events with this using ~20 MB of storage and memory which is incredible. I have been really impressed by golang as a language and as an ecosystem and would love to work more in this language going forward. Some Highlights: 1. No dependencies 2. CLI based management 3. Web based UI (and the server to serve it) included in the program. 4. 20 MB install size. 5. 20 MB memory use while running.
Read the rest
6. Minimal storage requirements because it aggregates events. This can be a great fit for anyone who wants to have a lightweight minimal analytics for internal events. I am looking forward to your comments and feedback.
74 points · Open discussion

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