COSTCO BEST DEALS this WEEK for FEBRUARY 2026! (2/11)🛒
HELLO my Friendly Shoppers & WELCOME to Gina's Shopping Life! If you LOVE to shop, (especially at Costco), you are in the ...
HELLO my Friendly Shoppers & WELCOME to Gina's Shopping Life! If you LOVE to shop, (especially at Costco), you are in the ...
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Welcome to Legends of the West, where history comes alive! 🏜️ Step into the rugged world of cowboys, outlaws, pioneers, and ...
The Apple Store only runs sales during the back-to-school and Black Friday seasons (though they're usually skippable). That ...
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During its Presidents' Day Sale, Chewy discounts up to 50% off on a variety of pet products. The sale spans dog and cat food & treats, toys, grooming supplies, health essentials, bedding, and pet accessories. Get free shipping over $49, otherwise it adds $5. Shop Now at Chewy
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<img src='https://c.dlnws.com/image/upload/f_auto,t_large,q_auto/content/uefweeiaalgwsiwmnxul.png' style='float: left;vertical-align: top;margin: 0 8px 8px 0'><div class="snippet summary" title="Costco's online clearance event is running across a wide range of categories, with select products now discounted up to 40% off. The sale spans electronics, home goods, kitchen appliances, fitness gear, furniture, and seasonal essentials, offering markdowns on both everyday items and big-ticket finds. You'll find deals on tech accessories, cookware and small appliances, outdoor and fitness equipment, and more — all with Costco's usual member value pricing plus clearance savings."> <p>Costco's online clearance event is running across a wide range of categories, with select products now discounted up to 40% off. The sale spans electronics, home goods, kitchen appliances, fitness gear, furniture, and seasonal essentials, offering markdowns on both everyday items and big-ticket finds. You'll find deals on tech accessories, cookware and small appliances, outdoor and fitness equipment, and more — all with Costco's usual member value pricing plus clearance savings. Shop Now at Costco </p> </div>
I struggled with it and that led me to Micropolis (the open-sourced SimCity engine) and was able to get it to work by bolting on an API.The weekend hack turned into a headless city simulation platform where anyone can get an API key (no signup) and have their AI agent play mayor. The simulation runs the real Micropolis engine inside Cloudflare Durable Objects, one per city. Every city is public and browsable on the site.LLMs are awful at the spatial stuff, which sort of makes it extra fun as you
I 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 <i>deep</i>.<p>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.<p>So I ended up building specialized extractors for each platform.<p>*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.<p>*TikTok* is where it gets fun. There's no recipe API. My pipeline resolves short URLs, then checks if the creator says something like "link in bio" (I detect this in five languages because German food TikTok is surprisingly massive). If I can find their website, great — I scrape the actual recipe from there. If not, I download the video via Apify and let Gemini analyze the frames. It works, but it's slow and expensive, so that's a Pro-only feature.<p>*Instagram and Facebook* — similar deal. oEmbed gets me the image, but the recipe is usually in the caption or comments. Same link-in-bio detection, same website resolution.<p>*Photos* are actually straightforward — screenshot of a recipe, photo of a cookbook page, whatever. Gemini's vision model handles those surprisingly well.<p>*One thing I'm proud of: the AI tiering.* Not every task needs a big model.<p>- Gemini Flash Lite handles 90% of the work — classifying content ("is this even a recipe?"), parsing ingredients, extracting recipe names from social media captions. Cheap, fast, good enough. - Gemini Flash kicks in when structured data fails — parsing messy HTML, analyzing video frames, processing social media posts. - Gemini Pro only for image generation (recipe share cards). - text-embedding-004 for semantic search across your recipe collection.<p>This keeps my costs sane as a solo dev. Using Flash for everything would've been 10x more expensive with barely better results for the simple tasks.<p>*Stuff I learned the hard way:*<p>- JSON-LD in the wild is chaos. The spec is fine, but WordPress plugins are creative. - "Link in bio" is how recipe distribution actually works on social media. Detecting that pattern is more valuable than trying to parse a video. - AI as fallback beats AI as default. Structured data first, AI when it fails = 95%+ success at a fraction of the cost. - Tier your models aggressively. Don't throw dollars at a problem that cents can solve.<p>*Stack:* Flutter (just me, indie dev), Supabase (Postgres + Deno Edge Functions), Gemini, Apify, PostHog.<p>Free with a Pro tier for video extraction and household sharing.<p>Happy to go deeper on any part of the extraction pipeline.<p><a href="https://taste-buddy.app" rel="nofollow">https://taste-buddy.app</a>
I 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.<p>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.<p>So I ended up building specialized extractors for each platform.<p>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.<p>TikTok is where it gets fun. There's no recipe API. My pipeline resolves short URLs, then checks if the creator says something like "link in bio" (I detect this in five languages because German food TikTok is surprisingly massive). If I can find their website, great — I scrape the actual recipe from there. If not, I download the video via Apify and let Gemini analyze the frames. It works, but it's slow and expensive, so that's a Pro-only feature.<p>Instagram and Facebook — similar deal. oEmbed gets me the image, but the recipe is usually in the caption or comments. Same link-in-bio detection, same website resolution.<p>Photos are actually straightforward — screenshot of a recipe, photo of a cookbook page, whatever. Gemini's vision model handles those surprisingly well.<p>One thing I'm proud of: the AI tiering. Not every task needs a big model.<p>- Gemini Flash Lite handles 90% of the work — classifying content, parsing ingredients, extracting recipe names. Cheap, fast, good enough. - Gemini Flash kicks in when structured data fails — parsing messy HTML, analyzing video frames. - Gemini Pro only for image generation (recipe share cards). - text-embedding-004 for semantic search across your recipe collection.<p>This keeps my costs sane as a solo dev.<p>Stuff I learned the hard way:<p>- JSON-LD in the wild is chaos. The spec is fine, but WordPress plugins are creative. - "Link in bio" is how recipe distribution actually works on social media. - AI as fallback beats AI as default. Structured data first, AI when it fails = 95%+ success at a fraction of the cost. - Tier your models aggressively. Don't throw dollars at a problem that cents can solve.<p>Stack: Flutter (just me, indie dev), Supabase (Postgres + Deno Edge Functions), Gemini, Apify, PostHog.<p>Free with a Pro tier for video extraction and household sharing. Happy to go deeper on any part of the extraction pipeline.
Hi HN,<p><pre><code> I built gflow, a single-node GPU job scheduler as a lightweight alternative to SLURM. If you've ever shared a multi-GPU machine with teammates and dealt with GPU conflicts, or just wanted a simple way to queue up training jobs overnight, this is for that. The problem: SLURM is designed for clusters. Setting it up on a single machine is overkill, and most ML teams sharing a workstation end up with ad-hoc solutions — checking nvidia-smi, shouting in Slack, or writing hacky bash scripts. gflow gives you: - Job queue with GPU-aware scheduling — auto-detects GPUs via NVML, handles allocation and sets CUDA_VISIBLE_DEVICES for you - Job dependencies — with AND/OR logic, so you can chain training → eval → export - Job arrays — for hyperparameter sweeps - tmux-based execution — jobs run in tmux sessions, so you can attach to see live output, and they survive terminal disconnects - Conda environment support — specify the env per job - Webhook notifications — get pinged when jobs finish or fail - SLURM-inspired CLI — gbatch, gqueue, gcancel, gjob — familiar if you've used SLURM, simpler if you haven't It's a single Rust binary. Install via pip install runqd (pre-built binaries), cargo install, or grab a release from GitHub. Run gflowd init to set up, gflowd up to start, and you're scheduling jobs. Example: gbatch --gpus 2 --conda myenv python train.py --lr 0.001 gqueue gjob log 1 Tech stack: Rust, Tokio, Axum (REST API), NVML, MessagePack for state persistence. GitHub: https://github.com/AndPuQing/gflow Happy to answer any questions.</code></pre>
Retrouvez cette annonce sur le site ou sur l'application Maisons et Appartements. https://www.maisonsetappartements.fr/fr/75/annonce-vente-appartement-paris-8eme-4181277.html Référence : 86601250 Exclusivité - Paris 8è - Faubourg Saint-Honoré Hoche - Appartement rénové - 2 chambres Exclusivité - Paris 8è - Faubourg Saint-Honoré Hoche - Appartement rénové - 2 chambres Situé dans le très recherché 8ème arrondissement à proximité du Parc Monceau et de la Salle Pleyel, cet appartement climatisé de 115 m² rénové et exposé sud offre de beaux volumes. Il comprend une entrée, un salon, une salle à manger, une cuisine indépendante, une chambre de maitre avec sa salle de douche, une autre chambre avec sa salle de bains, un toilette. L'appartement a une très belle hauteur sous plafond et a préservé le charme de l'ancien avec son parquet, ses moulures et ses cheminées. Une cave de 10 m² complète ce bien. Honoraires à la charge du vendeur - Montant moyen de la quote-part de charges courantes 6,108 €/an - Les informations sur les risques auxquels ce bien est exposé sont disponibles sur le site Géorisques : Exclusive - Paris 8th - Faubourg Saint-Honoré Hoche - Renovated Apartment - 2 Bedrooms Exclusive - Paris 8th - Faubourg Saint-Honoré Hoche - Renovated Apartment - 2 Bedrooms Located in the highly sought-after 8th arrondissement, near Parc Monceau and Salle Pleyel, this renovated, south-facing, 115 sq-m apartment offers spacious rooms. It comprises an entrance hall, a living room, a dining room, a separate kitchen, a master bedroom with an en-suite shower room, a second bedroom with an en-suite bathroom, and a separate WC. The apartment boasts high ceilings and retains its original charm with parquet flooring, moldings, and fireplaces. A 10 m² cellar completes this property. Agency fees payable by vendor - Montant moyen de la quote-part de charges courantes 6,108 €/yearly - Les informations sur les risques auxquels ce bien est exposé sont disponibles sur le site Géorisques : Cette annonce vous est proposée par l'agence BARNES SAINT-HONORE |4181277|
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A modern, exclusive barn wedding venue in the Ribble Valley, The Out Barn offers weekend-long celebrations, on-site accommodation for 27 guests, flexible guest capacity, and a new Estate Takeover Package for 2028. Ideal for relaxed, documentary-style wedding photography and video with incredible countryside views.