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📢 New Dataset Added to the Data-for-AI Campaign: EudraVigilance Database! We’ve added Europe’s largest public database of medicine side effects – EudraVigilance. It contains over 29.3M case reports, covering 16.9M unique ADR cases. Follow these steps to find valid links from the database: 1️⃣ Go to the EudraVigilance website....

155,583 просмотров • 1 год назад •via X (Twitter)

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Фото профиля Super Protocol
Super Protocol1 год назад

👉 EudraVigilance website: 📃 Find our text guide here:

Фото профиля SecBriefs | Making Cybersecurity Simple
SecBriefs | Making Cybersecurity Simple1 год назад

😔600+ healthcare data breaches exposed over 40 MILLION patient records last year. 💸The average cost of a healthcare data breach is $10.1 MILLION! 💔Protect your patients! Knowledge is power.💪 The "CYBERSECURITY DICTIONARY For Everyone" is on Amazon 🛒

Фото профиля NØCTIS | (🫰,✨)
NØCTIS | (🫰,✨)1 год назад

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🚨🚨🚨 Louisiana residents it’s our turn to act! We have 2 bills this week being put forth to ban weather modification in our state and we need all of our citizens’s support in order to get these through. The 1st bill is Senator Mike Fesi’s SB46 and it’s already passed the Senate. It is on the books to be heard in the House this week but we do not have an exact date & time as of yet. The 2nd bill is Representative Kim Coates’ HB608 and it’s scheduled to be heard this Wednesday in the House. What we need from you is to share this post and any other posts that come out regarding our bills. We need for you to reach out to the governor, reps, senators, DEQ, etc. and tell them that you support these bills via phone calls or emails. We need you to fill out the linked Call To Action form below from LACAG.org that will send your message directly to your state reps for you. You can also go to the Capitol in person to support these bills when they’re being heard. I’ve attached in this thread a video of an interview that Raphaelle O’Neil did this morning to get the message out on the bills and how to support them. As well as a meme that you can use to get the word out. In the comments you will find links to LACAG’s website, links to find your state and US Reps, links to contact the governor, links to contact LADEQ, links to both bills, and a link to LA Legislature’s site where you can watch the hearings live. LACAG’s Call To Action here:

Kristy Legendre

20,465 просмотров • 1 год назад

How should you search, filter, and paginate data with Next.js? This demo has 50,000 books in a Postgres database. • Page Load: When the page loads, we see the React Suspense fallback. This loading skeleton is displayed until the first page of books is retrieved from the database. • Searching: The search input has a 200ms debounce. After 200ms of inactivity, the form submits, updating the URL state with `?q={search}`. The Server Component reads `searchParams` and queries the database. On form submission, a React transition starts, allowing us to read the pending status with `useFormStatus` to display an inline loading state. • State Preservation: Navigating to an individual book page retains the search input state. Reloading the page or sharing the link preserves the search results. • Client-side Filtering: Filtering authors in the left sidebar is done client-side. Authors are fetched by a Server Component and passed as props to the sidebar. Changing the input value updates React state and re-renders the sidebar. • Optimistic Updates: The sidebar’s selected authors are optimistically updated with `useOptimistic`. Checkbox selections update instantly without waiting for the URL to change. • State Preservation: Navigating to an individual book page retains the sidebar filter input and selected author state across navigations, giving it an app-like feel. • Pagination: Navigating between pages updates the URL state, triggering the Server Component to query the database for the specific page of books. We also fetch the total book count to show the total number of pages. This demo isn't perfect yet (still working on it) but it's been a fun playground for some of these patterns. You can imagine a similar experience for thousands of movies, cars, products, or any other very large dataset. Demo → Code →

Lee Robinson

236,712 просмотров • 1 год назад

REAL ESTATE PEOPLE WILL HATE HIM FOR THIS. HE BUILT A CLAUDE AGENT THAT TURNS ANY LISTING INTO A SELLABLE VIDEO ON ITS OWN Playbook: connect Claude to a video generator, paste a listing, get a cinematic tour of every room, sell it to the agent But typing the prompt for every listing doesn't scale. He turned it into a skill his Claude runs on its own Here's how to build the automated version: 1. Connect the video engine once. In Claude, go to Customize, Connectors, Add Custom Connector, name it Higgsfield, and paste the server URL from higgsfield. ai/mcp. Authenticate through your account. No API keys. Now Claude can generate video straight from chat 2. Turn the workflow into a skill. Instead of pasting the same prompt every time, have Claude build a skill. Tell it: "Create a skill called listing-to-video. When I give it a listing URL, scrape the room photos, generate a cinematic clip of each room with Higgsfield, and save them to a folder." Now the whole process is one command, not a wall of text 3. Let the agent run the listing. Hand it a URL and say "run listing-to-video on this." It pulls the photos, fires each room through the video model, and brings the clips back. You wrote the prompt once, inside the skill. You never write it again 4. Stitch and deliver. Drop the clips together into one tour. Send a free sample to the listing's agent, then charge per video or a monthly rate for ongoing listings 5. Scale it with your team. Add a skill that drafts the outreach email and one that builds a simple landing page for the agent. Now one operator runs sourcing, production, and pitching from a single Claude session The edge isn't generating one video. It's building the skill once so every future listing runs itself Bookmark this

Yarchi

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