Postingan

Show HN: The feature gap "Chat with PDF" tuts and a regulated enterprise system https://ift.tt/pSfbaqO

Show HN: The feature gap "Chat with PDF" tuts and a regulated enterprise system I've spent the last few months architecting a RAG system for a regulated environment. I am not a developer by trade, but I approached this with a strict "systems engineering" and audit mindset. While most tutorials stop at "LangChain + VectorDB", I found that making this legally defensible and operationally stable required about 40+ additional components. We moved from a simple ingestion script to a "Multi-Lane Consensus Engine" (inspired by Six Sigma) because standard OCR/extraction was too hallucination-prone for our use case. We had to build extensive auditing, RBAC down to the document level, and a hybrid Graph+Vector retrieval to get acceptable accuracy The current architecture includes: Ingestion: 4 parallel extraction lanes (Vision, Layout, Text, Legal) with a Consensus Engine ("Solomon") that only indexes data confirmed by multiple sources Retrie...

Show HN: My Personal Portfolio https://ift.tt/kJMx9sV

Show HN: My Personal Portfolio I just re-buit my personal portfolio https://omakidx.me December 18, 2025 at 12:19AM

Show HN: GhostStream – zero-config hardware-accelerated video transcoding https://ift.tt/TpE3Hec

Show HN: GhostStream – zero-config hardware-accelerated video transcoding Hi HN, I built GhostStream while working on a self-hosted media server and wanting a simple way to offload video transcoding to whatever hardware was available on the network. GhostStream is an open-source video transcoding server with: - zero configuration startup - automatic GPU / encoder detection (NVENC, QuickSync, AMF, VideoToolbox) - live HLS streaming, ABR, and batch modes - automatic fallback to CPU if hardware encoding fails - a small HTTP + WebSocket API for progress updates It’s designed to run locally (no cloud dependency) and works well as a sidecar for lightweight media servers. If you want to see it working quickly, the repo includes a demo that starts a transcode from a public video URL and opens playback automatically: python examples/demo.py I’m mainly interested in feedback on the API surface, hardware detection, and real-world transcoding edge cases. https://ift.tt/pMXrSTN December 18, 2025 at...

Show HN: Pothole Detection System (YOLOv8 – FastAPI – Docker – React Native) https://ift.tt/6kYpmgO

Show HN: Pothole Detection System (YOLOv8 – FastAPI – Docker – React Native) https://ift.tt/IPYkh5a December 16, 2025 at 11:48PM

Show HN: Interactive Common Lisp: An Enhanced REPL https://ift.tt/VldMwLZ

Show HN: Interactive Common Lisp: An Enhanced REPL I created this because sometimes I want more than rlwrap but less than emacs. icl aims to hit that middle sweet spot. It's a terminal application with context-aware auto-complete, an interactive object inspector, auto-indentation, syntax colouring, persistent history, and much more. It uses sly to communicate with the child lisp process and aims to be compatible with any sly-supporting implementation. I hope others find it useful! https://ift.tt/5bu4qrZ December 14, 2025 at 07:31AM

Show HN: A lightweight SaaS to reduce early-stage app friction https://ift.tt/4sQeGEm

Show HN: A lightweight SaaS to reduce early-stage app friction I recently shipped a small SaaS I built in roughly 24 hours, mostly during school breaks. This is my first project that I have taken from idea to deployment, onboarding, and real users. The product targets early-stage developers and focuses on reducing initial setup and preparation when building new apps. It abstracts away some of the repetitive early decisions and boilerplate that tend to slow down first-time builders, especially around project structure, configuration, and “what should exist on day one”. I have a small number of active users, but churn is relatively high, which suggests either: the problem is not painful enough the abstraction leaks too early the UX or onboarding fails to communicate value or the tool solves a problem that disappears after the first session I would really appreciate technical feedback on: whether the abstraction layer makes sense if the mental model aligns with how you bootstrap projects ...

Show HN: A Wordle-style game for SHA-256 hashes https://ift.tt/KFI5ytf

Show HN: A Wordle-style game for SHA-256 hashes i built a small wordle-style game where the target is a daily sha-256 hash. it’s intentionally not cryptographically realistic; the goal is to make avalanche effects and the meaninglessness of near-matches intuitive. this was a quick front-end experiment; the code isn’t published yet. everything runs client-side; no tracking; no accounts. https://hashle.app December 16, 2025 at 01:08AM