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Remove repo selector from charts, usage, and PRs pages

1•nishiohiroshi•3m ago•0 comments

I built a tool that forces 5 AI to debate and cross-check facts before answering

https://github.com/KeaBase/kea-research
1•Stanislaw_•4m ago•0 comments

My 2025 Bug Bounty Stories

https://joshua.hu/2025-bug-bounty-stories-fail
2•karel-3d•8m ago•1 comments

BullSheet – My "Local" Quantitative Finance Engine

https://bayramovanar.substack.com/p/why-i-built-bullsheet-part-1
1•Bayramovanar•10m ago•1 comments

A 1990s CMS That Still Ships: Exponential CMS Reaches PHP 8.5

https://vincentopar.com/
1•Vincent_Opar•10m ago•0 comments

DOGE staffers at Social Security agency may have violated Hatch Act, DOJ says

https://abcnews.go.com/US/2-doge-staffers-social-security-agency-violated-hatch/story?id=129393252
1•vaxman•11m ago•0 comments

Are 'toxic' personality traits useful test cases for AI or behavioral models?

https://github.com/FlDanyT/ai-celebrity-models
1•yakalmar2048•14m ago•1 comments

LiveContainer: Run iOS apps without installing them

https://github.com/LiveContainer/LiveContainer
1•handfuloflight•14m ago•0 comments

DragonSweeper: A minesweeper game that requires observation

https://dragonsweeper.org
1•wslh•14m ago•0 comments

WebRTC VPN Tunnel

https://github.com/Manav1011/webrtc-vpn
1•walterbell•16m ago•0 comments

DiffRatio – A One-Step Diffusion Model with SOTA quality and 50% less memory

https://www.arxiv.org/pdf/2502.08005
2•LoMoGan•18m ago•1 comments

The Issue with Special Issues: When Guest Editors Publish in Support of Self

https://arxiv.org/abs/2601.07563
1•wslh•18m ago•0 comments

Amazon Joins the Big-Box League with Its Largest-Ever Store

https://www.wsj.com/business/retail/amazon-orland-park-illinois-opening-13362c97
1•divbzero•23m ago•0 comments

When I Talk to AI About My Feelings, I Don't Want a Therapy Ad

https://www.theverge.com/news/864103/mixed-messaging
1•thor1122•24m ago•0 comments

Green vs. Blue

https://greenvblue.npeercy.com/
1•greenwallnorway•29m ago•0 comments

Sony to Transfer Home Entertainment Operations to Tcl-Led Joint Venture

https://xthe.com/news/sony-tv-business-tcl/
1•Sandhyaseo•30m ago•1 comments

Negotiating Relationships with ChatGPT

https://arxiv.org/abs/2601.13188
2•7777777phil•30m ago•0 comments

Why Submit to AI in Production: Speaking as a Tool for Better Work

https://www.r-bloggers.com/2026/01/why-submit-to-ai-in-production-speaking-as-a-tool-for-better-w...
1•7777777phil•33m ago•0 comments

Crates.io: Development Update

https://blog.rust-lang.org/2026/01/21/crates-io-development-update/
3•quapster•34m ago•0 comments

AT&T Archives: The Unix Operating System (1972) [video]

https://www.youtube.com/watch?v=tc4ROCJYbm0
1•vismit2000•35m ago•0 comments

Agentic RAG for Dummies

https://github.com/GiovanniPasq/agentic-rag-for-dummies
1•thunderbong•36m ago•0 comments

Mnemonic BTC Slots

https://coinables.github.io/mnemonic-slots/#
1•nicholasbraker•36m ago•0 comments

Welcome to Niji V7

https://nijijourney.com/blog/niji-7
1•ankitg12•38m ago•0 comments

Show HN: A Spectrum Album – Structuring AI-Generated Music with Suno

https://karbeyazalbum.replit.app/
2•ersinesen•39m ago•0 comments

Accidentally making $1000 for finding Security Bugs as a Back end Developer

https://not-afraid.medium.com/accidentally-making-1000-for-finding-security-bugs-as-a-backend-dev...
1•birdculture•39m ago•0 comments

Show HN: BSS Blue Hive Guide

https://www.bluehiveguide.com/index.html
1•andy846851797•40m ago•0 comments

Git Show

https://tonystr.net/blog/git
1•TonyStr•41m ago•0 comments

Show HN: LLM fine-tuning without infra or ML expertise

https://www.tinytune.xyz/
2•Jacques2Marais•41m ago•1 comments

Ask HN: How do you manage your morning catch-up routine?

2•Peterz_shu•45m ago•1 comments

Show HN: I built an enterprise weather intelligence platform with Lovable

https://preview--chrono-strata.lovable.app/shop
2•lavandar-admin•48m ago•0 comments
Open in hackernews

Show HN: I built a Ruby gem that handles memoization with a ttl

https://github.com/mishalzaman/memo_ttl
48•hp_hovercraft84•9mo ago
I built a Ruby gem for memoization with TTL + LRU cache. It’s thread-safe, and has been helpful in my own apps. Would love to get some feedback: https://github.com/mishalzaman/memo_ttl

Comments

locofocos•9mo ago
Can you pitch me on why I would want to use this, instead of Rails.cache.fetch (which supports TTL) powered by redis (with the "allkeys-lru" config option)?
film42•9mo ago
Redis is great for caching a customer config that's hit 2000 times/second by your services, but even then, an in-mem cache with short TTL would make redis more tolerant to failure. This would be great for the in-mem part.
thomascountz•9mo ago
I'm not OP nor have I read through all the code, but this gem has no external dependencies and runs in a single process (as does activesupport::Cache::MemoryStore). Could be a "why you should," or a "why you should not" use this gem, depending on your use case.
hp_hovercraft84•9mo ago
Good question. I built this gem because I needed a few things that Rails.cache (and Redis) didn’t quite fit:

- Local and zero-dependency. It caches per object in memory, so no Redis setup, no serialization, no network latency. -Isolated and self-managed. Caches aren’t global. Each object/method manages its own LRU + TTL lifecycle and can be cleared with instance helpers. - Easy to use — You just declare the method, set the TTL and max size, and you're done. No key names, no block wrapping, no external config.

JamesSwift•9mo ago
For what its worth, ActiveSupport::CacheStore is a really flexible api that gives minimal contractual obligations (read_entry, write_entry, delete_entry is the entire set of required methods), but still allows you to layer specific functionality (eg TTL) on top with an optional 'options' param. You could get the best of both worlds by adhering to that contract and then people can swap in eg redis cache store if they wanted a network-shared store.

EDIT: see https://github.com/rails/rails/blob/main/activesupport/lib/a...

hp_hovercraft84•9mo ago
That's actually a really good idea! I'll definitely consider this in a future update. Thanks!
qrush•9mo ago
Congrats on shipping your first gem!!

I found this pretty easy to read through. I'd suggest setting a description on the repo too so it's easy to find.

https://github.com/mishalzaman/memo_ttl/blob/main/lib/memo_t...

hp_hovercraft84•9mo ago
As in identify where the source code is in the README?
zerocrates•9mo ago
I think they mean just set a description for the repo in github (set using the gear icon next to "About"), saying what the project is. That description text can come up in github searches and google searches.
film42•9mo ago
Nice! In rails I end up using Rails.cache most of the time because it's always "right there" but I like how you break out the cache to be a per-method to minimize contention. Depending on your workload it might make sense to use a ReadWrite lock instead of a Monitor.

Only suggestion is to not wrap the error of the caller in your memo wrapper.

> raise MemoTTL::Error, "Failed to execute memoized method '#{method_name}': #{e.message}"

It doesn't look like you need to catch this for any operational or state tracking reason so IMO you should not catch and wrap. When errors are wrapped with a string like this (and caught/ re-raised) you lose the original stacktrace which make debugging challenging. Especially when your error is like, "pg condition failed for select" and you can't see where it failed in the driver.

hp_hovercraft84•9mo ago
Thanks for the feedback! That's a very good point, I'll update the gem and let it bubble up.
JamesSwift•9mo ago
I thought ruby would auto-wrap the original exception as long as you are raising from a rescue block (i.e. as long as $! is non-nil). So in that case you can just

  raise "Failed to execute memoized method '#{method_name}'"
And ruby will set `cause` for you

https://pablofernandez.tech/2014/02/05/wrapped-exceptions-in...

film42•9mo ago
TIL! That's pretty cool. I still think if you have no reason to catch an error (i.e. state tracking, etc.) then you should not.
gurgeous•9mo ago
This is neat, thanks for posting. I am using memo_wise in my current project (TableTennis) in part because it allows memoization of module functions. This is a requirement for my library.

Anyway, I ended up with a hack like this, which works fine but didn't feel great.

   def some_method(arg)
     @_memo_wise[__method__].tap { _1.clear if _1.length > 100 }
     ...
   end
   memo_wise :some_method
JamesSwift•9mo ago
Looks good. Id suggest making your `get` wait to acquire the lock until needed. eg instead of

  @lock.synchronize do
    entry = @store[key]
    return nil unless entry

    ...
you can do

  entry = @store[key]
  return nil unless entry

  @lock.synchronize do
    entry = @store[key]
And similarly for other codepaths
chowells•9mo ago
Does the memory model guarantee that double-check locking will be correct? I don't actually know for ruby.
JamesSwift•9mo ago
I think it wouldnt even be a consideration on this since we arent initializing the store here only accessing the key. And theres already the check-then-set race condition in that scenario so I think it is doubly fine.
hp_hovercraft84•9mo ago
Good call, but I think I would like to ensure it remains thread-safe as @store is a hash. Although I will consider something like this in a future update. Thanks!
wood-porch•9mo ago
Will this correctly retrieve 0 values? AFAIK 0 is falsey in Ruby

``` return nil unless entry ```

chowells•9mo ago
No, Ruby is more strict than that. Only nil and false are falsely.
wood-porch•9mo ago
Doesn't that shift the problem to caching false then :D
RangerScience•9mo ago
you can probably always just do something like:

  def no_items?
    !items.present?
  end
  
  def items
    # something lone
  end

  memoize :items, ttl: 60, max_size: 10`
just makes sure the expensive operation results in a truthy value, then add some sugar for the falsey value, done.
madsohm•9mo ago
Since using `def` to create a method returns a symbol with the method name, you can do something like this too:

  memoize def expensive_calculation(arg)
    @calculation_count += 1
    arg * 2
  end, ttl: 10, max_size: 2

  memoize def nil_returning_method
    @calculation_count += 1
    nil
  end
hp_hovercraft84•9mo ago
This is why I love working with Ruby!
deedubaya•9mo ago
See https://github.com/huntresslabs/ttl_memoizeable for an alternative implementation.

For those who don’t understand why you might want something like this: if you’re doing high enough throughput where eventual consistency is effectively the same as atomic consistency and IO hurts (i.e. redis calls) you may want to cache in memory with something like this.

My implementation above was born out of the need to adjust global state on-the-fly in a system processing hundreds of thousands of requests per second.

kartik_malik•9mo ago
In React ?