Wednesday, February 22, 2023

Show HN: Experiences with Stripe in Small Hotels https://ift.tt/sHGFZtQ

Show HN: Experiences with Stripe in Small Hotels First of all our service is not prohibited by Stripe, we are a small hotel. We sell our rooms in booking and booking sends us a virtual credit card to be used to bill each customer for the room. We withdrew the funds from the virtual credit card in the stripe platform and after two months of using it, my Stripe account was closed. The stripe account manager told me that we had a higher than normal percentage of prepaid cards and that we may be suspected of money laundering. Stripe has now refunded all the funds in my account (automatically) February 22, 2023 at 02:45PM

Show HN: Strada – Embed accounting automation with one API https://ift.tt/iqVPc4R

Show HN: Strada – Embed accounting automation with one API Hi HN, we’ve been working on an API that makes it easy to add a full set of accounting tools to your product. If you’re building fintech or payments software for businesses, your customers often ask for integrations to their accounting system (Quickbooks, NetSuite, etc). There’s plenty of options for solving the integration problem, but they leave lots of manual work. Customers still need to review each transaction to assign a category, vendor, department, and tax code. With the Strada API, you can offer accounting integrations, cleanse your transaction data, and automatically map transaction details based on each customer’s accounting setup. We’d love any feedback you have. If you want to chat in more detail please reach out through our website. Thanks! https://ift.tt/BaECkRM February 22, 2023 at 03:58AM

Show HN: Phind.com – Generative AI search engine for developers https://ift.tt/rEeX2AD

Show HN: Phind.com – Generative AI search engine for developers Hi HN, Today we're launching phind.com, a developer-focused search engine that uses generative AI to browse the web and answer technical questions, complete with code examples and detailed explanations. It's version 1.0 of what was previously known as Hello (beta.sayhello.so) and has been completely reworked to be more accurate and reliable. Because it's connected to the internet, Phind is always up-to-date and has access to docs, issues, and bugs that ChatGPT hasn't seen. Like ChatGPT, you can ask followup questions. Phind is smart enough to perform a new search and join it with the existing conversation context. We're merging the best of ChatGPT with the best of Google. You're probably wondering how it's different from the new Bing. For one, we don't dumb down a user's query the way that the new Bing does. We feed your question into the model exactly as it was asked, and are laser-focused on providing developers the most detailed and comprehensive explanations to code-related questions. Secondly, we've focused the model on providing answers instead of chatbot small talk. This is one of the major improvements we've made since exiting beta. Phind has the creative abilities to generate code, write essays, and even compose some poems/raps but isn't interested in having a conversation for conversation's sake. It should refuse to state its own opinion and rather provide a comprehensive summary of what it found online. When it isn't sure, it's designed to say so. It's not perfect yet, and misinterprets answers ~5% of the time. An example of Phind's adversarial question answering ability is https://ift.tt/4XzVtTK... . ChatGPT became useful by learning to generate answers it thinks humans will find helpful, via a technique called Reinforcement Learning from Human Feedback (RLHF). In RLHF, a model generates multiple candidate answers for a given question and a human rates which one is better. The comparison data is then fed back into the model through an algorithm such as PPO. To improve answer quality, we're deploying RLAIF — an improvement over RLHF where the AI itself generates comparison data instead of humans. Generative LLMs have already reached the point where they can review the quality of their own answers as good or better than an average human rater tasked with annotating data for RLHF. We still have a long way to go, but Phind is state-of-the-art at answering complex technical questions and writing intricate guides all while citing its sources. We'd love to hear your feedback. Examples: https://ift.tt/ABFDYxo... https://ift.tt/7BCRrv1... https://ift.tt/Fx2t5IM https://ift.tt/ZEhPQ76... https://ift.tt/XtfPuJn... Discord: https://ift.tt/glAKCrE https://phind.com February 21, 2023 at 11:26PM

Tuesday, February 21, 2023

Show HN: Planlike.pro – New Estimating Tool https://ift.tt/naAQji7

Show HN: Planlike.pro – New Estimating Tool https://planlike.pro/ February 21, 2023 at 05:24PM

Show HN: Small TypeScript library to work with quadkeys in a fast way https://ift.tt/u2pst4e

Show HN: Small TypeScript library to work with quadkeys in a fast way I am developing a website called Geocode Map Viewer( https://ift.tt/ENRcaru ). I was looking for a suitable TypeScript library to visualize Quadkeys on the map, but unfortunately I couldn't find one. So I decided to develop my own library, using the sample code available on the Microsoft Tile Maps page as a reference. https://ift.tt/h7qJVkE February 21, 2023 at 06:51AM

Show HN: Gargantuan Takeout Rocket – Google Takeout Transloader to Azure https://ift.tt/s0CKkwD

Show HN: Gargantuan Takeout Rocket – Google Takeout Transloader to Azure Been broken for 4 months, just got back to fixing it and validating. Figured I'll repost this. Gargantuan Takeout Rocket (GTR) is a toolkit to make the pain of backing up a Google account to somewhere that's not Google a lot less. At the moment the only destination supported is Azure. It's a guide, a browser extension, a Cloudflare worker to deploy, and Azure storage to configure. This sounds like buzzword creep, but believe me, every piece is extremely important. It's very cheap to run/serverless. You can backup a Google account at about $1/TB. Compared to renting a VPS to do this, it's much more pleasant. You aren't juggling strange URLs, needing big beefy boxes to buffer large data, or trying to login to Google or pass URLs through a VPS. Unfortunately, not everything about the procedure can be automated. But whatever can be, is. It's very fast. 1GB/s is the stable default and recommended speed. However, you can have about 3 of these going at a time for about 3GB/s+ overall. This trick is accomplished by making Azure download from Google to a file block, a unique API not seen in S3 or S3-like object storage. Unfortunately, Azure has URL handling bugs and only supports HTTP 1.1, greatly limiting parallelism. We can use Cloudflare Workers to work around these issues. I use GTR myself with a scheduled Google Takeout every two months to backup 1.5TB of data from Google. This can be photos, YouTube videos, etc. I can finish my backups to safe non-Google storage in 15 minutes after I get an email from Google that my Takeout is ready to be downloaded. Unfortunately the only destination is currently Azure. There's also no encryption support. And also Cloudflare is involved. That said, if you're fine with this, this is a fine way to backup a Google and Youtube account as-is. https://ift.tt/GPWehlB February 21, 2023 at 11:26AM

Show HN: My50sTV – Nostalgic TV Simulator https://ift.tt/8EBsyNi

Show HN: My50sTV – Nostalgic TV Simulator https://www.my50stv.com February 21, 2023 at 09:10AM

Show HN: PlutoPrint – Generate Beautiful PDFs and PNGs from HTML with Python https://ift.tt/8nBt5IR

Show HN: PlutoPrint – Generate Beautiful PDFs and PNGs from HTML with Python Hi everyone, I built PlutoPrint because I needed a simple way t...