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Saturday, October 8, 2022
EC ने शिवसेना का सिम्बल तीर-कमान फ्रीज किया:उपचुनाव में कोई भी गुट उपयोग नहीं कर सकेगा, दोनों नेताओं ने बुलाई बैठक
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भास्कर अपडेट्स:गुजरात में कांग्रेस विधायक पर हमले से आक्रोश, प्रदर्शनकारियों ने दुकान में आग लगाई, तोड़फोड़ की
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Show HN: Simple Checklists for Digital Security https://ift.tt/z9Qmyxq
Show HN: Simple Checklists for Digital Security I developed some simple checklists to help stop me and my family from getting our accounts or IDs hacked. I turned it into a product. Also on Product Hunt: https://ift.tt/oLawNUQ https://ift.tt/Hj5MKDJ October 9, 2022 at 12:43AM
मूसेवाला हत्याकांड में मुख्यमंत्री मान को 'लैटर टू CM':सिंगर जैनी के गाने ने मचाई हलचल, गाने के बोल- हमारे घर उजड़ गए, आपके शहनाइयां गूंज रहीं
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Friday, October 7, 2022
भारत-पाक:पाक अधिकृत कश्मीर में अमेरिकी प्रतिनिधि का आख़िर क्या काम?
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दिवाली से पहले महंगी हुई CNG:दिल्ली-एनसीआर में कीमत 3 रुपए बढ़ी, नई कीमतें आज सुबह 6 बजे से लागू होंगी
दिवाली से पहले महंगी हुई CNG:दिल्ली-एनसीआर में कीमत 3 रुपए बढ़ी, नई कीमतें आज सुबह 6 बजे से लागू होंगी https://ift.tt/05Uo6aJ
दिवाली से पहले महंगी हुई CNG:दिल्ली-एनसीआर में कीमत 3 रुपए बढ़ी, नई कीमतें आज सुबह 6 बजे से लागू होंगी
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भास्कर अपडेट्स:दिल्ली-एनसीआर में सीएनजी की कीमत 3 रुपए बढ़ी, आज सुबह 6 बजे से लागू होंगी नई कीमतें
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Show HN: PyTorch search engine https://ift.tt/sP8CUNM
Show HN: PyTorch search engine https://ift.tt/sP8CUNM https://ift.tt/31YwKSZ
Show HN: PyTorch search engine https://ift.tt/sP8CUNM
Show HN: PyTorch search engine https://ift.tt/PdRbZnv October 7, 2022 at 11:38PM
Thursday, October 6, 2022
भास्कर अपडेट्स:लियोनेल मेस्सी ने संन्यास का ऐलान किया, कतर में 2022 विश्व कप में आखिरी बार खेलेंगे
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Show HN: Scalable Time Series Modeling with open-source projects https://ift.tt/iSfamJl
Show HN: Scalable Time Series Modeling with open-source projects https://ift.tt/iSfamJl https://ift.tt/8hWg7NQ
Show HN: Scalable Time Series Modeling with open-source projects https://ift.tt/iSfamJl
Show HN: Scalable Time Series Modeling with open-source projects https://ift.tt/hY1zIGo October 6, 2022 at 09:57PM
दिल्ली के केंद्रीय विद्यालय में छात्रा से गैंगरेप:11 साल की छात्रा ने दो सीनियर स्टूडेंट्स पर लगाया आरोप
दिल्ली के केंद्रीय विद्यालय में छात्रा से गैंगरेप:11 साल की छात्रा ने दो सीनियर स्टूडेंट्स पर लगाया आरोप https://ift.tt/G3VBqpH
दिल्ली के केंद्रीय विद्यालय में छात्रा से गैंगरेप:11 साल की छात्रा ने दो सीनियर स्टूडेंट्स पर लगाया आरोप
दिल्ली के केंद्रीय विद्यालय में छात्रा से गैंगरेप:11 साल की छात्रा ने दो सीनियर स्टूडेंट्स पर लगाया आरोप https://ift.tt/W9yzlEa
दिल्ली के केंद्रीय विद्यालय में छात्रा से गैंगरेप:11 साल की छात्रा ने दो सीनियर स्टूडेंट्स पर लगाया आरोप
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Wednesday, October 5, 2022
Show HN: GreenSwapp – API to track CO2 of food products at scale https://ift.tt/TX82M5t
Show HN: GreenSwapp – API to track CO2 of food products at scale Hi guys! We’re Ajay & Jainit, and we’re super excited to launch GreenSwapp to the HN community! GreenSwapp is an API that tracks product and recipe-wise carbon footprints at scale, for food products. Tracking carbon footprints of individual food products is hard because you’d have to trace it all the way back to the farm and account for all the energy inputs till the point of sale. Each such analysis takes about 6 months to do, and in many cases, it is hard to even map this journey. For food products that typically have multiple ingredients (i.e. they are recipes), you have to do this for each ingredient. Supermarkets have about 30k unique products per store. If you do the math, you’ll see that this quickly becomes impossible to do manually, in a reasonable amount of time. After my Masters’ in Sustainability & Engineering, I (Ajay) worked as a climate & impact consultant for more than a decade. I first discovered this problem 5 years ago (as I ran my own sustainability consultancy), when I saw some of my large food brand & retail clients struggling to identify their highest impact products & suppliers. More recently, we found that food platforms (such as Uber Eats & Yelp) want to track the climate impact of their recipes and restaurants too. We do the hard work of estimating carbon emissions using a combination of product meta-data / supply chain attributes (such as origin location, farming type, packaging type etc.) and aggregated product carbon footprints from peer-reviewed journals. Our core dataset is a comprehensive list of food types found in supermarkets. We use an ML model (semantic search using sentence transformers) to match queried product names to our standard list of product types and retrieve their median supply chain carbon footprints. This enables us to track impact at scale (thousands of products in minutes), making it easy and cheap for you to track product-level emissions. This would allow you to easily a) report emissions, b) identify high impact products, brands, and suppliers in your inventory, and c) communicate impact with consumers. What if my product is more sustainable? We identify every supply chain attribute that might reduce a product’s impact (such as organic farming, better packaging material, locally grown) and apply a correction factor (also obtained from peer-reviewed life cycle analyses papers). You can read more on our algorithm here - https://ift.tt/BCQ3Pnh You can try our API for free on any milk product (e.g. - Oatly oat drink barista edition) or any type of pizza (e.g. - Pepperoni pizza). Here are the API docs - https://ift.tt/kz502e8 . You can get your trial API key here - https://ift.tt/BCQ3Pnh . Our full API works with any food product you can find in the supermarket and any recipe. We charge a data license fee of $0.99 per product per year for supermarket products and $0.99 per ingredient per recipe per year for dishes. Here is a cost estimator tool - greenswapp.com/pricing. If you want to look up more than 100 products and 10 recipes, you also pay an annual platform fee (still figuring out the right price point). We’d love to get your feedback on our API. We are also trying to identify the biggest use case for this product. So please let us know what you’re using it for by commenting on this post - is it to use in a new app you’re building, get your company to use it at their cafeteria, reduce your company’s emissions, offset it, etc.? Any other ideas on how we can make this better would be wonderful too. Thanks a ton! https://ift.tt/kz502e8 October 5, 2022 at 10:00PM
Show HN: Speed of all of your processes across entire stack in one dashboard https://ift.tt/YaTd1MI
Show HN: Speed of all of your processes across entire stack in one dashboard I built Checkpoints App out of my experience of not being able to quickly and easily measure the speed of processes across my tech stack in my startup. All startups optimize for speed in all of their operations: deploying code, responding to API requests, loading the UI, and in background processes such as sending emails to users or processing data in an ETL pipeline. But the tools available to measure the performance of all these operations are separate and time-costly to integrate, in the first place. Checkpoints App allows you to measure the speed of processes across your entire stack with minimal overhead and collects that data into a single dashboard. Integrating it into your tech stack is as easy as dropping a `print()` statement in your code, while you're writing it. It comes with client-side Python, JS and Bash scripts. You drop checkpoint statements anywhere in the code, defining a process name and checkpoint name, for example: `./checkpoints.sh process1 checkpoint1` where process1 is your process name and checkpoint1 is your checkpoint name. Once you've dropped checkpoints in your code. It will automatically create the process pipelines in your dashboard along with the speed metrics i.e, how long does it take, on average, to go from checkpoint1 to checkpoint2 . Then you can start optimizing for speed. Another major problem I saw was that most lightweight tools out there let you measure performance in a single part of your stack, for example, you need to use Lighthouse in the front-end UI and CloudWatch for your backend API endpoints. With Checkpoints App, however, you can create tailored processes across your tech stack. For example, you can add the first checkpoint in your backend and the second checkpoint in your front end. I'd love to hear your feedback. If you'd like to try this out, signup at the landing page and I'll send you the access. https://ift.tt/chx2W0k October 6, 2022 at 02:10AM
बंगाल में दुर्गा विसर्जन के दौरान 7 लोगों की मौत:जलपाईगुड़ी की मल नदी का जलस्तर बढ़ने से हादसा हुआ, 20-25 लोग लापता
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