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Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
1•tosh•1m ago•0 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
1•onurkanbkrc•2m ago•0 comments

Show HN: Versor – The "Unbending" Paradigm for Geometric Deep Learning

https://github.com/Concode0/Versor
1•concode0•3m ago•1 comments

Show HN: HypothesisHub – An open API where AI agents collaborate on medical res

https://medresearch-ai.org/hypotheses-hub/
1•panossk•6m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•8m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•8m ago•0 comments

Ask HN: How do you figure out where data lives across 100 microservices?

1•doodledood•9m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•9m ago•0 comments

Rotten Tomatoes Desperately Claims 'Impossible' Rating for 'Melania' Is Real

https://www.thedailybeast.com/obsessed/rotten-tomatoes-desperately-claims-impossible-rating-for-m...
2•juujian•11m ago•1 comments

The protein denitrosylase SCoR2 regulates lipogenesis and fat storage [pdf]

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•12m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•15m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
1•DEntisT_•17m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•17m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•17m ago•1 comments

The Path to Mojo 1.0

https://www.modular.com/blog/the-path-to-mojo-1-0
1•tosh•20m ago•0 comments

Show HN: I'm 75, building an OSS Virtual Protest Protocol for digital activism

https://github.com/voice-of-japan/Virtual-Protest-Protocol/blob/main/README.md
4•sakanakana00•24m ago•0 comments

Show HN: I built Divvy to split restaurant bills from a photo

https://divvyai.app/
3•pieterdy•26m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
3•Tehnix•26m ago•1 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
2•haizzz•28m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
4•Nive11•28m ago•6 comments

Tech Edge: A Living Playbook for America's Technology Long Game

https://csis-website-prod.s3.amazonaws.com/s3fs-public/2026-01/260120_EST_Tech_Edge_0.pdf?Version...
2•hunglee2•32m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
3•chartscout•34m ago•0 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
3•AlexeyBrin•37m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
2•machielrey•39m ago•1 comments

Monzo wrongly denied refunds to fraud and scam victims

https://www.theguardian.com/money/2026/feb/07/monzo-natwest-hsbc-refunds-fraud-scam-fos-ombudsman
3•tablets•43m ago•1 comments

They were drawn to Korea with dreams of K-pop stardom – but then let down

https://www.bbc.com/news/articles/cvgnq9rwyqno
2•breve•46m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•48m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•48m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
2•billiob•49m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
2•birdculture•54m ago•0 comments
Open in hackernews

Taming P99s in OpenFGA: How we built a self-tuning strategy planner

https://auth0.com/blog/self-tuning-strategy-planner-openfga/
18•elbuo•2w ago

Comments

shoo•2w ago
Fun to see a write up applying multi-armed bandits.

I had a bit of trouble following the article as I don't understand the problem space well enough. When framing this problem, the authors wrote:

  Answering "Can user X access resource Y?" requires traversing relationship graphs. In this context, traversal performance isn't just a feature; it is the fundamental constraint of the system's architecture.
Concretely, in an OpenFGA / Auth0 FGA deployment where graph traversal becomes enough of a bottleneck that introducing a planner like this becomes compelling, how is the graph and the traversal manifested? What's actually going on?

Would the relationship graph be represented as a bunch of relations stored in a single SQL DB? Or does querying and traversing the graph require making a bunch of API calls to various downstream services over the customer's network?

yehia2amer•1w ago
In OpenFGA/Auth0 FGA, the “relationship graph” is not usually a separate graph database or a pile of downstream service calls. It’s an implicit graph whose edges are the relationship tuples you’ve stored, interpreted through the authorization model (the DSL that says how one relation implies another, how to follow parents, groups, etc.).

What the graph “is” in a typical deployment

Edges = tuples like: document:1#viewer@user:anne document:1#viewer@group:eng#member document:1#parent@folder:A

These are persisted in the OpenFGA datastore (commonly Postgres).

What “traversal” actually does at runtime

A Check(user=X, relation=R, object=Y) request is evaluated by resolving the model for (Y#R) and reading whatever tuples are needed to prove/disprove membership.

Traversal becomes painful when checks cause High fan-out (e.g., a document inherits viewers from a folder, that folder has 50 groups, each group contains groups…) or like Deep nesting (group-of-group chains)

That’s exactly the niche where smarter planning/strategy selection helps.

Do checks require “a bunch of API calls to downstream services”?

Normally, no. OpenFGA/Auth0 FGA doesn’t need to call your microservices to traverse your domain graph. The check is decided from: - the authorization model, and - tuples in the OpenFGA store, - plus any contextual tuples you included in the request (ephemeral edges that behave as-if written, but aren’t persisted).

yehia2amer•1w ago
I really respect OpenFGA & team behind it, I used it in multiple projects and it completely eliminate the AuthZ from our code.

But it always had this issue with Admin management, It is hard for Admins to understand and maintain.

That’s why I created an Admin UI for OpenFGA, The main goal is that the UI is Dynamic and it changes as per your OpenFGA Model, Then you can Easily Add users

I built this because my team was constantly struggling with managing permissions in our applications. we tried building admin UIs multiple times, but every time the OpenFGA model changed, we had to rework the UI layer to match it one way or another.

So mainly the UI understand your OpenFGA schema and automatically renders the management interface based on the entities and relationships defined in your model.

https://github.com/yehia2amer/OpenFGA-Admin-UI

aaguiarz•1w ago
Thanks for that Yehia, looks pretty good and useful!
deckar01•1w ago
I don’t understand why Thompson sampling would be used for an experiment that can be rapidly repeated. Isn’t reconfiguring the FPGA orders of magnitude slower than measuring latency? It seems like you could produce a high confidence posterior by resampling so fast that there is no point in prioritizing what needs to be revisited (especially with good priors).
deckar01•1w ago
Edit: FGA != FPGA. This is purely software.