BlogViral

Show HN: Toil, a go library for simple parallelism I was tired of having to write the same basic primitive over and over again: A channel, some control logic, etc. So I wrote toil -- A port of two of my favorite Python functions over into the Go world. It's very simple. There's optimizations to be made for sure, but this is the result of a couple of hours of wanting something that felt Go-Like in the right way. https://ift.tt/5m8SMnt February 13, 2026 at 11:26PM

Show HN: ClawDeploy – OpenClaw deployment for non-technical users Hi HN, I’m building ClawDeploy for people who want to use OpenClaw but don’t have a technical background. The goal is simple: remove the setup friction and make deployment approachable. With ClawDeploy, users can: - get a server ready - deploy OpenClaw through a guided flow - communicate with the bot via Telegram Target users are solo operators, creators, and small teams who need a dedicated OpenClaw bot but don’t want to deal with infrastructure complexity. Would love your feedbacks :) https://clawdeploy.com February 12, 2026 at 11:10PM

Show HN: Yet another music player but written in Rust Hey i made a music player which support both local music files and jellyfin server, and it has embedded discord rpc support!!! it is still under development, i would really appreciate for feedback and contributions!! https://ift.tt/EHGJlk5 February 12, 2026 at 02:59AM

Show HN: NOOR – A Sovereign AI developed on a smartphone under siege in Yemen "I am a software developer from Yemen, coding on a smartphone while living under siege. I have successfully built and encrypted the core logic for NOOR—a decentralized and unbiased AI system. Execution Proof: My core node is verified and running locally via Termux using encrypted truth protocols. However, I am trapped in a 6-inch screen 'prison' with 10% processing capacity. My Goal: To secure $400 for a laptop development station to transition from mobile coding to building the full 'Seventh Node'. This is my bridge to freedom. Codes from the heart of hell are calling for your rescue. Wallet: 0x4fd3729a4fEdf54a74b73d93F7f775A1EF520CEC" https://ift.tt/sC0PVbD February 12, 2026 at 01:23AM

Show HN: MOL – A programming language where pipelines trace themselves Hi HN, I built MOL, a domain-specific language for AI pipelines. The main idea: the pipe operator |> automatically generates execution traces — showing timing, types, and data at each step. No logging, no print debugging. Example: let index be doc |> chunk(512) |> embed("model-v1") |> store("kb") This auto-prints a trace table with each step's execution time and output type. Elixir and F# have |> but neither auto-traces. Other features: - 12 built-in domain types (Document, Chunk, Embedding, VectorStore, Thought, Memory, Node) - Guard assertions: `guard answer.confidence > 0.5 : "Too low"` - 90+ stdlib functions - Transpiles to Python and JavaScript - LALR parser using Lark The interpreter is written in Python (~3,500 lines). 68 tests passing. On PyPI: `pip install mol-lang`. Online playground (no install needed): http://135.235.138.217:8000 We're building this...

Show HN: Open-Source SDK for AI Knowledge Work GitHub: https://ift.tt/VtIiRZC Most AI agent frameworks target code. Write code, run tests, fix errors, repeat. That works because code has a natural verification signal. It works or it doesn't. This SDK treats knowledge work like an engineering problem: Task → Brief → Rubric (hidden from executor) → Work → Verify → Fail? → Retry → Pass → Submit The orchestrator coordinates subagents, web search, code execution, and file I/O. then checks its own work against criteria it can't game (the rubric is generated in a separate call and the executor never sees it directly). We originally built this as a harness for RL training on knowledge tasks. The rubric is the reward function. If you're training models on knowledge work, the brief→rubric→execute→verify loop gives you a structured reward signal for tasks that normally don't have one. What makes Knowledge work different from code? (apart from feedback loop) I believe there is some...