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Gabriella439
post-rfc
OPEN SOURCE2015–2023
Gabriella439 / post-rfc

post-rfc

Blog post previews in need of peer review

29Distinct people
35Mentions
1Explicit recommenders
2.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Blog post previews in need of peer review

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

I strongly recommend that you learn Haskell. I have some reasons to back up my endorsement of Haskell. First and foremost, Haskell is the best language to learn if you want to…

nlander used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

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 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 6:59:22 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 year35 dated mentions

Observed mentions: 2015-08-17 05:54:14 UTC to 2023-05-03 17:23:43 UTC.

0369122015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 12 mentions; 1 submissions, 11 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2023

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
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC413
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC12111
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC404
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC202
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC413
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC413
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC312
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 UTC202

From the project README

An excerpt from the repository, fetched Nov 13, 2026.

Read the project’s introduction
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Read the full README on GitHub

What Hacker News says

12 sources
Totally agree! By the way, the Haskell community is working to make scripting easier in Haskell, so if you want to go from one of the most buggy languages straight to one of the least, now you can: https://docs.haskellstack.org/en/stable/GUIDE/#script-interp... (Downsides: Haskell is weird (but good), you have to have Stack installed, and the first time you run the script it will take a while to download dependencies) More resources: https://github.com/Gabriel439/post-rfc/blob/master/sotu.md#s...
In Let’s Stop Bashing C
I remember showing a new engineer who'd never seen any Haskell before monads on a whiteboard and he after I explained monoids and functors and then monads, he just nodded and said "oh, okay, makes sense". He wasn't bluffing - he actually internalized the concept that quickly. This is amazing. The trick with teaching Haskell is to start with specifics and THEN generalize the ideas. Definitely! Sorry, I rambled a bit, but tl;dr: Haskell was a mixed success, brought along some drama, but overall enabled us to reduce the latency of some critical services by about 10x. At least while I was at IMVU, teaching people Haskell was actually not hard. Getting them to care about Haskell or even want to try it was sometimes VERY hard, depending on the person. Please, please, PLEASE turn this into a blog post. Haskell has
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a lot of great testimonials, but they can't be convincing unless they also show the downsides. For technical topics I think Haskellers do a great job being honest, eg: https://github.com/Gabriel439/post-rfc/blob/master/sotu.md ("Numerical -- immature ... Front End ... immature ... Distributed programming ... immature"). But there aren't a lot of writeups of Haskell being tried in business with mixed results. A writeup saying "a big concern is getting developers onboard" would be hugely reassuring to companies considering Haskell that _do_ have their developers onboard. Oh yeah, and I 100% agree with slezakattack that Haskell programmers are not necessarily magical systems designers or system programmers. They're just like you and me. Totally. There are some geniuses, but then there are also people like me who use it because my brain isn't big enough to hold a whole program in my head, so I need the types:)
In Four months with Haskell
Haskell can actually make a pretty good imperative language (and you can put together little imperative sub-languages as well). That aside... There's a reasonable perspective that says the type of problem that's best solved in a language is a problem for which there's good library support. For that, I'd probably recommend scanning https://github.com/Gabriel439/post-rfc/blob/master/sotu.md But in my experience, where Haskell really shines is sketching out operations on some type that I know I'm going to get wrong - substantially or subtly - my first many tries. When I go to fix it, the compiler helps me find everything I need to change in tandem, and feel ahead to find inconsistencies in my model before I get there in the code. One example of this kind of problem is compilers - where we parse into an AST, transform the AST, and then pr
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oduce other things from the AST. As development goes on, the AST evolves, and you have a lot of help knowing what needs to change to match and what you can ignore. I've recently been doing this for SQL (though with the goal of analyzing the queries, not producing an executable).
In Idris, a language that will change the way you think about programming (2015)

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