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Manuntençao para Pcs
terça-feira, 16 de dezembro de 2025
Show HN: Footywhoops – MIDI Sequencer Software https://ift.tt/whkCJQY
Show HN: Footywhoops – MIDI Sequencer Software https://ift.tt/tqrMfve December 16, 2025 at 05:16AM
Show HN: TextGO – A text selection popup tool (alternative to PopClip/SnipDo) https://ift.tt/oZKxzsY
Show HN: TextGO – A text selection popup tool (alternative to PopClip/SnipDo) I built an open-source text processing tool as an alternative to PopClip and SnipDo. It's cross-platform (macOS/Windows), extensible, and doesn't require a subscription. What it does: TextGO automatically recognizes text types and executes custom actions. You can trigger it via global hotkeys, mouse double-click, or text selection. It supports both instant execution and interactive toolbar modes. Key features: - Built-in text type recognition (URLs, emails, IPs, timestamps, programming/natural languages, etc.) - Multiple trigger methods with independent rule configurations - Extensible via regex, scripts, or local AI integration - Customizable toolbar icons Feedback and contributions welcome! https://ift.tt/uNX4M2C December 16, 2025 at 02:08AM
Show HN: InterviewKitHQ – AI-generated interview playbooks for HR teams https://ift.tt/oE9q4Ry
Show HN: InterviewKitHQ – AI-generated interview playbooks for HR teams I built InterviewKitHQ to help HR teams create quality interview materials quickly. Creating good interview guides takes time for HR and hiring managers. Enterprise tools are expensive ($75+/user/mo) and complex. Free AI tools give you generic, sometimes problematic questions. *What I built:* A system that: 1. Researches job families across 8 dimensions (responsibilities, skills, compensation, career paths, etc.) 2. Generates complete interview kits with questions, rubrics, and red/green flags 3. Runs compliance checks (no discriminatory content) 4. Exports as editable Word documents *Tech stack:* - Backend: Python/FastAPI, SQLite (PostgreSQL in prod) - Frontend: React + TypeScript + Tailwind - AI: Perplexity for research, GPT-4o for generation/compliance *Business model:* - Free tier: 3 kits (stock library or custom from job description) - Paid: $99-299/mo for more kits and features https://ift.tt/7dDVg41 December 16, 2025 at 12:44AM
segunda-feira, 15 de dezembro de 2025
Show HN: Beautiful browser-based music frequencies https://ift.tt/Ir2QHMh
Show HN: Beautiful browser-based music frequencies Probably the coolest project I have ever worked on. This features a live audio and dynamic visual generations with patterns, waveforms, and geometry that are beautiful. Open to feedback. https://ift.tt/3pIXGif December 15, 2025 at 04:21AM
Show HN: A systems language with runtime reflection and no GC https://ift.tt/I9Y3w2Q
Show HN: A systems language with runtime reflection and no GC Hi HN, I’ve been working on an experimental programming language called XXML. The project started from a frustration I kept running into across systems languages: Languages with strong ownership tend to avoid runtime reflection. Languages with rich reflection usually rely on GC or give up memory guarantees. Compile-time code generation often requires a separate macro language. I wanted to explore whether those tradeoffs are truly necessary. What XXML is trying to do XXML is a statically-typed, native language that: Uses explicit ownership and borrowing (no garbage collector) Supports runtime reflection while respecting ownership rules Allows compile-time code generation using normal language constructs, not macros Compiles to LLVM IR and produces native binaries Reflection APIs are constrained so unsafe ownership operations are rejected at compile time. The goal isn’t “dynamic at all costs,” but introspection without losing safety. What it’s useful for (so far) Some concrete use cases I’m exploring: Safe plugin/mod systems for native applications Auto-generated serialization (e.g., JSON/RPC) without macros Debugging and inspection tools that can reason about user types Declarative domains (UI/layout/asset graphs) that benefit from structured syntax What it’s not This is early-stage and definitely not production-ready: The ecosystem is minimal The language is still evolving Documentation and tooling are incomplete I’m mostly interested in feedback from people who’ve worked on: compilers language runtimes systems with heavy serialization or plugin boundaries Code GitHub repo: https://ift.tt/hUoQVSt or https://ift.tt/yLfXNiO I’d especially appreciate criticism around: the ownership model reflection safety boundaries where this design is fundamentally flawed Thanks for reading — happy to answer questions. https://ift.tt/yLfXNiO December 15, 2025 at 12:57AM
Show HN: PicPick – AI-powered photo curator using CLIP and face recognition https://ift.tt/oC9TazG
Show HN: PicPick – AI-powered photo curator using CLIP and face recognition Hey HN! I built this after my wedding left me with 5,000 photos to sort through. The key insight: most photo sorting time is spent reviewing near-duplicates. Professional photographers shoot in bursts, so you get 10+ shots of the same moment. PicPick uses CLIP embeddings to cluster visually similar photos, then adds face recognition to keep groups coherent (so you don't mix up "bride with parents" and "bride with friends" just because they look similar). Tech stack: - CLIP for semantic similarity (not just perceptual hashing) - face_recognition (dlib) for person detection - DBSCAN clustering on combined features - FastAPI + vanilla JS for the UI - SQLite for everything It reduced my review set from 5,000 → ~1,000 clusters, which I then filtered down to 300 for the album in a few hours instead of days. The clustering parameters are tunable - tighter for professional shoots with many duplicates, looser for casual photos. Open to feedback! Especially around: 1. Better clustering algorithms (currently DBSCAN on CLIP embeddings + timestamps + face vectors) 2. UI improvements for rapid reviewing 3. Handling photos without faces (landscapes, food, etc.) Works entirely offline, no cloud uploads needed. https://ift.tt/kVdZy8c December 15, 2025 at 01:03AM
Show HN: A Lightweight Hono and Preact Template for Cloudflare Workers https://ift.tt/F9pePhv
Show HN: A Lightweight Hono and Preact Template for Cloudflare Workers https://ift.tt/Co7vFGl December 14, 2025 at 10:25PM
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DJ Sandro
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