Thursday, October 6, 2022

Show HN: Soso.ooo – Google Search Alternative https://ift.tt/zwy5HZN

Show HN: Soso.ooo – Google Search Alternative https://soso.ooo October 6, 2022 at 12:55PM

Show HN: GreenSwapp – API to track CO2 of food products at scale https://ift.tt/xrmIDMi

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/mW6LFdr 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/TujrK2Y . You can get your trial API key here - https://ift.tt/mW6LFdr . 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/TujrK2Y October 5, 2022 at 10:00PM

Show HN: Speed of all of your processes across entire stack in one dashboard https://ift.tt/tOVexHT

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/TaVRZQS October 6, 2022 at 02:10AM

Show HN: Build data pipelines visually and with code https://ift.tt/SaF48oQ

Show HN: Build data pipelines visually and with code https://ift.tt/NvdnKAu October 5, 2022 at 11:12PM

Wednesday, October 5, 2022

Show HN: A Go Implementation and Enhancement of Open Source AirDrop Openairdrop https://ift.tt/ykjIBwp

Show HN: A Go Implementation and Enhancement of Open Source AirDrop Openairdrop https://ift.tt/aRKQAFX October 5, 2022 at 08:16PM

Show HN: Price Tracker for Rei.com https://ift.tt/gOe7cDp

Show HN: Price Tracker for Rei.com i wanted to build something on rails and sqlite and file_store cache. i have no idea if rei will let me into their affiliate program but this was fun to build https://ift.tt/9blTFYW October 5, 2022 at 07:44PM

Show HN: Execute command when file changes https://ift.tt/4FaZduf

Show HN: Execute command when file changes https://ift.tt/UBHeRbI October 5, 2022 at 05:47PM

Show HN: Yet Another Memory System for LLM's https://ift.tt/0oZIwAv

Show HN: Yet Another Memory System for LLM's Built this for my LLM workflows - needed searchable, persistent memory that wouldn't bl...