Netflix Just Got an Extra $2.8 Billion. Here’s What It Should Spend On - The Hollywood ReporterNetflix Just Got an Extra $2.8 Billion. Here’s What It Should Spend On The Hollywood Reporter
Show HN: Sous Clip – Extract recipes from short-form cooking videosGreetings HN!Its my first post here, and I'm delighted to announce a cool self hosted, privacy-focused app I've been working for a while - Sous Clip!The idea is simple: Share reels/shorts/TikToks to the app, it automatically extracts ingredients, cooking instructions and anything else using an AI provider of your choice (ChatGPT, Claude and Ollama for now, more coming soon!) and stores is locally for ease of access. It also comes with a PWA to easily share reels and access stored recipes through your mobile phone.From what research I've done, there are applications that already do this, but are paid services and require you to store everything on their servers. This app gives you the freedom to do what you want with this!Glad to hear feedback and feature requests!Direct GitHub link - https://github.com/SachinVenugopalan30/sous-clip
UK sending four extra Typhoon jets to Qatar, PM Starmer says - Al-MonitorUK sending four extra Typhoon jets to Qatar, PM Starmer says Al-Monitor
Show HN: On-device article extraction and ePub generation in a React Native appI'm open-sourcing Send to X4, an iOS/Android app that turns shared links into clean EPUBs entirely on-device, then transfers them to an Xteink X4 over local Wi-Fi — no accounts, no cloud.Repo (MIT): https://github.com/Xatpy/send-to-x4-mobile-app Product page + screenshots: https://chapiware.com/send-to-x4WHY I BUILT IT The X4 is a focused e-ink device, but getting long-form content onto it from a phone almost always involves a cloud step somewhere. I wanted a pipeline where the phone handles extraction and packaging entirely, and the device only ever receives finished files over LAN. Turns out doing this well on-device is more interesting than I expected.INTERESTING TECHNICAL BIT - Reader mode extraction: Mozilla Readability + linkedom (a fast DOM implementation) to keep extraction lightweight inside RN. - Client-side rendered pages: for sites where "fetch HTML and parse" fails, I use a headless WebView render → DOM capture → extract pipeline. This is the most fragile part of the stack
Novartis settles 18-month-old lawsuit from estate of Baltimore woman whose cells were extracted 75 years ago - Fierce PharmaNovartis settles 18-month-old lawsuit from estate of Baltimore woman whose cells were extracted 75 years ago Fierce Pharma
Show HN: WP2TXT – Wikipedia dump text extractor with category/section filteringWP2TXT is a command-line tool that extracts plain text from Wikipedia dump files. I originally built it in 2006 for corpus linguistics research and have maintained it since. The latest version (2.1) was largely rewritten with features for selective extraction:- Auto-download dumps by language code (350+ languages) - Extract specific articles by title without downloading the full dump - Extract articles from a Wikipedia category with subcategory recursion - Extract specific sections by name with alias matching (e.g., "Plot" also matches "Synopsis") - Template expansion (dates, coordinates, unit conversions → readable text) - Content type markers ([MATH], [TABLE], etc.) instead of silent removal - Category metadata preserved in output - JSON/JSONL output - Parallel processing (English Wikipedia 24 GB dump: ~2 hours on Apple M4) - Written in Ruby.
The cool reason the Patriots just paid Mack Hollins an extra $400,000 - Yahoo SportsThe cool reason the Patriots just paid Mack Hollins an extra $400,000 Yahoo Sports
Show HN: I extract recipes from TikTok, Instagram, and the messy webI kept losing recipes. You know how it goes — you're scrolling TikTok at midnight, see an amazing pasta dish, save it, and never find it again. So I built TasteBuddy to fix that for myself. What I didn't expect: parsing recipes from the internet is a rabbit hole that goes deep.The thing is, recipe content is scattered everywhere in completely different formats. A food blog might have nice JSON-LD markup. A TikTok? Just someone talking over a video. An Instagram reel? Recipe buried in the comments. Pinterest? Links to blogs that died three years ago.So I ended up building specialized extractors for each platform.*Websites* are the "easy" case. I look for JSON-LD with `@type: Recipe` first — most food blogs have it, thanks to SEO plugins. But the real world is messy. I've seen duration fields as `PT30M`, `30 minutes`, `0:30`, and my personal favorite, just `half an hour`. About 30% of recipe URLs have no structured data at all, so I fall back to Gemini to make sense of the raw HTML.*TikT
Olympic Crotchgate Explained: Are Ski Jumpers Using Penis Fillers for Extra Lift? - Men's HealthOlympic Crotchgate Explained: Are Ski Jumpers Using Penis Fillers for Extra Lift? Men's Health
Be careful when you subscribe to MLB.TV this year so you don’t pay extra to ESPN - Bleed Cubbie BlueBe careful when you subscribe to MLB.TV this year so you don’t pay extra to ESPN Bleed Cubbie Blue
How Venezuela poses an “unusual and extraordinary threat” to the US agenda - Peoples DispatchHow Venezuela poses an “unusual and extraordinary threat” to the US agenda Peoples Dispatch
Show HN: FalseWork – Extract transferable structural mechanisms from worksFalseWork is a staged LLM pipeline that analyzes existing works (films, music, legal frameworks, cryptographic protocols, games) and extracts reusable structural mechanisms - not themes, interpretations, or stylistic labels.We often say things like "Tarkovsky sculpts time" or "Borges builds infinite regress." These sound insightful, but they're hard to apply, test, or break in another domain. FalseWork tries to make those claims concrete enough to reuse.The goal isn’t similarity or tagging, but extracting generative rules that could plausibly reproduce the source structure under counterfactual conditions.The pipeline runs in 7 stages:- Structural inventory – literal components and constraints - Internal relationships – how parts connect and depend on each other - Tensions & contradictions – where the structure strains or destabilizes - Mechanism validation – counterfactual checks against the source - Generative rules – rules that would reproduce the structure - Cognitive competency – w
Vaginal bacteria-derived extracellular vesicles diffuse through human cervicovaginal mucus to enable microbe-host signaling | npj Biofilms and Microbiomes - NatureVaginal bacteria-derived extracellular vesicles diffuse through human cervicovaginal mucus to enable microbe-host signaling | npj Biofilms and Microbiomes Nature
Mexico becomes crucial fuel supplier to Cuba but pledges no extra shipments after Maduro toppledMexico becomes crucial fuel supplier to Cuba but pledges no extra shipments after Maduro toppled CityNews Kitchener
Looking to sell your extra stuff? Here are the best resale apps and websites so you can make some extra cash - CNBCLooking to sell your extra stuff? Here are the best resale apps and websites so you can make some extra cash CNBC
Pharmacies Flood Medicare Patients With $3 Billion of Extra Drugs - WSJPharmacies Flood Medicare Patients With $3 Billion of Extra Drugs WSJ
SEA Games 2025: Vietnam come back to stun hosts Thailand and claim men's football gold after extra time - olympics.comSEA Games 2025: Vietnam come back to stun hosts Thailand and claim men's football gold after extra time olympics.com
Show HN: Rconvolve – Fast audio convolution and IR extraction built with RustI've written a crate (https://crates.io/crates/rconvolve) and a little demo using WebAssembly. The demo allows a full workflow of generating a sine sweep, recording that sweep in a room, extracting an IR from the recording, and applying it to your microphone or other input device in real time to see how it sounds. This is my first open source project and I did it just for fun, but I'd love to hear if anyone tries it out. I'm working on a VST plugin based on this crate as well which I plan to open source.
Human level information extraction from clinical reports with finetuned language models - NatureHuman level information extraction from clinical reports with finetuned language models Nature
Extra! Extra! Read all about it! - Coeur d'Alene PressExtra! Extra! Read all about it! Coeur d'Alene Press