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hibiken
asynq
Go2020–2026
hibiken / asynq

asynq

Simple, reliable, and efficient distributed task queue in Go

5Distinct people
8Mentions
0Explicit recommenders
13.8KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Simple, reliable, and efficient distributed task queue in Go

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, 5:04:57 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: 2020-01-28 12:47:25 UTC to 2026-06-23 11:22:07 UTC.

01232020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 3 mentions; 3 submissions, 0 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

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 UTC330
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC110
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101
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 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC110
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC211

What Hacker News says

8 sources

Ask HN: What's your go-to queue system?

Hello, I am building a new product and need to have a robust queue system but I'm not sure what product to choose. I've worked in Amazon before and usually AWS tools are the default go-to but in my own time for small project I've used things like: https://github.com/hibiken/asynq for basic tasks. My concern with the above is that it's still in "early" development; from their README: ``` Status: The library relatively stable and is currently undergoing moderate development with less frequent breaking API changes. Important Note: Current major version is zero (v0.x.x) to accommodate rapid development and fast iteration while getting early feedback from users (feedback on APIs are appreciated!). The public API could change without a major version update before v1.0.0 release. ``` I'm building something right now that will require something v
Read the rest
ery robust; scheduling, long running workflows with several external dependencies (which may have failure and need retries and notifications, webhooks, etc) Ideally I want to use the same tool for everything; so that would also include basic things like fan-out (like user singed-up: fan out to email service to queue welcome sequence, notify another service, make api request to another dependency, etc.) There are so many too choose from: NATS, RabbitMQ, Asynq, AWS tools, Google Pub/Sub, etc. There are so many options and I'm always very excited to explore tools but I need to pick one and us that across entire project for everything; since it won't be just me and having one interface/tool to learn reduces cognitive load. What do you use normally and why? (I use Go - if it matters)
3 points · Open discussion
nklow·Jan 17, 2025Submission

Show HN: Find your "holy grail piece", as a service

I am a collector by nature, and hunting down obscure items is a slow process that is only sometimes rewarding. I've often checked eBay at the end of a day to find exactly what I was looking for, long sold. Even the best sites tend to only offer once-a-day "new listing" summaries with noisy results. So as a programmer at heart, I created a solution I would have liked: Antiquebot. Antiquebot is a service focused on connecting you with your "holy grail piece". Antiquebot offers the ability to constantly and repeatedly search a number of auction sites. Custom filters can be used to create a funnel that turns lots of new, generic results into to a handful of specific results without relying on questionable per-site boolean search support. New results end up right in your inbox as fast and often as you like. Antiquebot's goal is to automate as
Read the rest
much of the search process as possible, so you can set it and forget it until one morning, fingers crossed, you succeed in your hunt. - No need to be constantly checking several sites - Get results as frequently as you like - Custom filters to fine-tune your results across all sites at once - Deduplicated results to avoid noise - Results arrive in your inbox, or using the search result page on the site A demo account is available using the email address "demo@antiquebot.net" and password "helloworld". A free plan is also available, and you can delete your account with a few clicks if you don't find a use. This is my first "soft-launch" of the site to get feedback and refine the idea. Your thoughts and experience are appreciated! The backend is Go services using Asynq[0] for task queueing among the worker nodes. oapi-codegen[1] + an OpenAPI schema manages the HTTP API implementation, interfacing with via a Vue3 frontend using the (venerable) Bootstrap framework. [0] https://github.com/hibiken/asynq [1] https://github.com/oapi-codegen/oapi-codegen
3 points · Open discussion

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