Hacker News

Article URL: https://www.ruixen.com/blog/web-ui-has-no-physics

Comments URL: https://news.ycombinator.com/item?id=47047165

Points: 1

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Article URL: https://github.com/minio/minio

Comments URL: https://news.ycombinator.com/item?id=47047164

Points: 1

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Article URL: https://gist.github.com/gritzko/9b3ac4ebb9bd8e38895d4629d0f9b151

Comments URL: https://news.ycombinator.com/item?id=47047157

Points: 1

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Built this because my family recently got into physical Rummikub-style tiles (big in Romanian circles), and it's been super addictive teaching friends/relatives. Wanted to play remotely without losing the real-time strategy feel. Started as quick prototypes with Lovable for visuals, but to make it multiplayer: Rust + Tokio backend, Tungstenite WebSockets, full server-authoritative state to keep it fair.

Added simple ELO for ranked 1v1v1v1 "Quick Play" queues, custom lobbies, best-of-N rounds, global leaderboards.

Live here: https://tilecraft.icegaming.org/ (small signup to start playing).

* No bots yet (future weekends project), so matches need live players - but when folks join, the sweat is real.

I'm curious about: Any balance thoughts on tile drawing/rules tweaks? WS/Rust multiplayer pitfalls I might have missed? How's the latency/ELO feel on your end?

Happy to answer questions or hop in for a game if anyone's around!

Comments URL: https://news.ycombinator.com/item?id=47047156

Points: 1

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Article URL: https://deadline.com/2026/02/stephen-colbert-cbs-james-talarico-interview-1236726609/

Comments URL: https://news.ycombinator.com/item?id=47047145

Points: 1

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Article URL: https://todiagram.com/blog/animate-diagrams-to-make-complex-systems-easier-to-understand

Comments URL: https://news.ycombinator.com/item?id=47047144

Points: 1

# Comments: 0

Terradev is a BYOAPI Terraform “wrapper” for cross-cloud GPU provisioning and node pooling

pip install terradev-cli

terradev k8s create demo --gpu A100 --count 8 --multi-cloud

A100s may be $3.20/hr on AWS, vs $2.40/hr on Vast.ai, but getting quotes across providers takes hours, there’s heavy tooling required between providers, and the nodes can’t be actively managed as pricing and demand changes day-to-day…

Terradev is a cross-cloud compute-provisioning CLI that works in parallel to quickly spin up optimal instances and pool them in Kubernetes clusters 3-5x faster than sequential workflows.

Nodes from different providers can pool in the same cluster, optimizing for latency, with workloads scheduling across all of them…

Built-in hooks: HF Spaces, Karpenter, vLLM, Ollama, Ray, MLFlow, W&B

Comments URL: https://news.ycombinator.com/item?id=47047129

Points: 1

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Article URL: https://drive.google.com/file/d/1DRw486wPENqKmOjruP160Gx4OZnM2WSn/view?usp=share_link

Comments URL: https://news.ycombinator.com/item?id=47047126

Points: 1

# Comments: 1

Every AI assistant today has amnesia. Context windows fill up and you're starting over with a stranger.

Sekha gives your LLM a permanent memory: - Unlimited conversation history with semantic search - Works with any model (Claude, GPT, Llama, local) - Self-hosted, your data stays local - Built with Rust + SQLite + embeddings. AGPL-3.0.

GitHub: [github.com/sekha-ai/sekha-controller] Docs: [docs.sekha.dev] | Site: [sekha.dev] Proof: https://imgur.com/a/Dgti8cO

Comments URL: https://news.ycombinator.com/item?id=47047120

Points: 1

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Article URL: https://www.schneier.com/blog/archives/2026/02/side-channel-attacks-against-llms.html

Comments URL: https://news.ycombinator.com/item?id=47047101

Points: 1

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Article URL: https://www.skyos.computer/

Comments URL: https://news.ycombinator.com/item?id=47047099

Points: 1

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Article URL: https://github.com/techne98/super.nvim

Comments URL: https://news.ycombinator.com/item?id=47047093

Points: 1

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Article URL: https://www.youtube.com/watch?v=LhGrk8dp91M

Comments URL: https://news.ycombinator.com/item?id=47047091

Points: 2

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Article URL: https://github.com/rbas/roxy

Comments URL: https://news.ycombinator.com/item?id=47047086

Points: 2

# Comments: 1

Hey HN, I am Alex. I am open sourcing Data Studio, a lightweight data exploration IDE in your browser that runs locally.

Try it: https://local.dataspren.com (no account needed, runs locally)

More information: https://github.com/dataspren-analytics/data-studio

I love working with data (Postgres, SQL, DuckDB, DBT, Iceberg, ...). I always wanted a data exploration tool that runs in my browser and just works. Without any infra or privacy concerns (DuckDB UI came quite close).

Features:

- Data Notebooks

- SQL cells work like DBT models (they materialize to views)

- Use Python functions inside of SQL queries - Use DB views directly in Python as dataframes - Transform Excel files with SQL

- You can open .parquet, .csv, .xlsx, .json files nicely formatted

If you like what you see, you can support me with a star on Github.

Happy to hear about your feedback <3

Comments URL: https://news.ycombinator.com/item?id=47046647

Points: 1

# Comments: 0

Article URL: https://www.anthropic.com/news/anthropic-rwanda-mou

Comments URL: https://news.ycombinator.com/item?id=47046640

Points: 1

# Comments: 0

I built a local Snowflake emulator using Rust and DataFusion.

Problem: Snowflake is cloud-only. Testing requires real compute costs.

Solution: A local emulator that's compatible with Snowflake SQL API v2 and the official Go driver.

Supports VARIANT types, JSON functions, LATERAL FLATTEN, window functions, and transactions.

Useful for CI pipelines and local development.

Comments URL: https://news.ycombinator.com/item?id=47046637

Points: 1

# Comments: 0

I run an OpenClaw agent named Jimmy. Jimmy handles SEO tracking, content writing, and code tasks for my projects. Managing it all entirely through chat got messy fast.

Thus I built VidClaw. It's a self-hosted dashboard that gives you:

- Kanban board where you drag tasks and the agent picks them up automatically - Real-time token usage - Model switching - Soul editor - Skills manager - Activity calendar

The whole thing binds to localhost only — you access it through an SSH tunnel. No accounts, no cloud, no tracking. Your data stays on your machine.

Stack: React + Vite + Tailwind on the frontend, Express on the backend, JSON files for storage (no database). Setup is one script.

I built this for myself, but figured others running autonomous agents might find it useful. Would love feedback on the approach - especially from anyone else managing long-running AI agents.

Comments URL: https://news.ycombinator.com/item?id=47046625

Points: 1

# Comments: 0

Text: I’ve spent years watching IT implementations fail across a variety of environments for the same "un-technical" reasons. Despite having more sophisticated tools and data than ever, the industry still suffers from a persistent "Knowledge Chasm"—a structural gap where the essential logic of a project lives only in the heads of a few "Local Heroes." When these individuals leave or teams rotate, the project logic resets, leading to cost overruns, quality issues, and systemic frustration.

I am developing a Precision Implementation Protocol to institutionalize this "know-how." It synthesizes high-reliability logic from fields like Advanced Construction Management and Systemic Financial Modeling to bridge the gap between intent, execution, and reality.

Hands-on Implementation over Theory Unlike theoretical frameworks, this is a granular, "hands-on" approach designed for immediate integration into daily activities. It focuses on the specific artifacts and workflows that bridge the gap between a high-level requirement and a physically completed unit of capability. It can be used as a short-term "rescue" for failing projects or as a long-term structural standard to de-risk staff rotations in complex IT environments.

Seeking Feedback: How to Scale and Popularize this Methodology? I am looking for community feedback on how to turn this from a private methodology into a standard that many can benefit from. I want to move this from "my process" to an "industry utility," but I'm looking for the most meaningful way to get people involved.

My Questions for HN: * The Scaling Challenge: Is it possible to productize "expert know-how" without losing the precision required for complex IT systems?

The "Pioneer" Approach: I am considering a community-driven threshold for a full public release—a "Pioneer Program" for practitioners. Is this the right way to build an industry standard, or is there a better way to foster adoption?

Standardization vs. Intellectual Property: To truly end the "Local Hero" trap, this needs to reach global scale. How would you recommend launching this to ensure maximum benefit for the community while maintaining the integrity of the protocol?

Strategic Path: I am open to all paths—community-driven growth, enterprise licensing, or even a strategic acquisition by a firm capable of deploying this as a global standard. What path creates the most value for the industry?

Comments URL: https://news.ycombinator.com/item?id=47046624

Points: 1

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Article URL: https://www.youtube.com/watch?v=OwL3dsFBxpE

Comments URL: https://news.ycombinator.com/item?id=47046612

Points: 1

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