Show HN: I made a web-based notepad with a built in unit calculator https://bit.ly/3AtWXsy

Show HN: I made a web-based notepad with a built in unit calculator Hi HN It also supports percentages, dates and variables. I've been working on this alone for a few years now, so would love to get some feedback. https://bit.ly/3bYLxUb August 17, 2022 at 10:01AM

Show HN: Android app that helps businesses and professionals saved 230K+ hours https://bit.ly/3we6QrB

Show HN: Android app that helps businesses and professionals saved 230K+ hours https://bit.ly/3w9M2BB August 17, 2022 at 07:43AM

Show HN: A network for Americans who can't afford health insurance https://bit.ly/3QxgHkn

Show HN: A network for Americans who can't afford health insurance Hey HN, launched this recently and looking for early feedback. The problem to solve: In the US, patients who can't afford health insurance are regularly charged the highest prices for healthcare - prices that are deliberately inflated by 2x-4x above market. But theoretically they should be getting the best prices, because they are paying without the expenses and delays of insurance claims. However, insurance contracts are written in a way that prevents anyone outside a network from getting better prices than insurers. The Pocketero solution: An affordable non-insurance network for people who pay out of pocket for healthcare, especially those who can't afford health insurance. Network members get the best prices from network providers. If you have any comments about the design, implementation, business model, etc. - please share your thoughts! https://bit.ly/3STkme3 August 16, 2022 at 09:41PM

Show HN: Hire experts in popular SaaS/no-code tools https://bit.ly/3Pw9Pm5

Show HN: Hire experts in popular SaaS/no-code tools Hi HN We have built Heep to help startups take advantage of the best no-code/SaaS tools and increase their ROI on the tools they already are paying for. It's super simple - we match you with experts in popular tools like Notion, Bubble, Webflow for any kinds of project. So far we had over 200 companies build all kind of staff with makers on Heep - from improving their internal ops with automations (Zapier, Airtable) to building full scale MVPs (Bubble, Glide). We focus on curating talent and making it easy for anyone to navigate the no-code space. We have messenger and payments built-in inside the platform and adding simple contracts soon. On the talent side we are allowing you to monetise your expertise in any SaaS/no-code tool and earn $2K+ per month. Right now we have over 300 experts on the platform across 40+ tools. We are still working on making the experience smooth for customers and the main point of launching here is to get feedback on what could be done better on finding/hiring an expert. Would love to discuss what do you like/dislike about existing freelance platforms out there. Love from Kyiv/Berlin https://bit.ly/3SOYbWp August 16, 2022 at 07:22PM

Show HN: Unschooler predicts future career by analyzing YouTube https://bit.ly/3dAOEC7

Show HN: Unschooler predicts future career by analyzing YouTube We created an experimental feature that predicts a future career by analyzing Youtube preferences. Our main goal is to help young people find their passion. Every teenager we spoke to mentioned Youtube as a learning source. Suddenly we realized that YouTube contains all information about interests, learning history, and answer search, underneath which lies their unique purpose. However, most parents don't know how to apply these interests to their teens' future careers. We came up with the idea to translate interests from Youtube into the career language and predict the probable specialization on the single Skills Map. How it works: 1. We analyze interests on Youtube and predict suitable specializations with Skills Map. 2. People try real daily tasks of the recommended professions for 1 week. Every task updates the skills Map and prediction. From the beginning, we compared the data with a control group of our friends, who had already known their passion. We are still in the process of filling the skills database, but we already see precise matches for our users, despite missing some particular areas: — Our designer's map matched his passion for 3D and generative graphics — https://bit.ly/3PqfVUT — This man is a software developer, and our algorithm showed us this before we even knew him — https://bit.ly/3w7TZHD — Our social media manager leans more toward Design than Marketing — https://bit.ly/3PqGcT9... — This girl is learning cosmetics from a chemistry perspective - however, our data showed her real passion and aptitude: interacting with people around these cosmetic topics — https://bit.ly/3SRyQeh Test your skills https://bit.ly/3SWmv8T and share your opinion about the results with a link to your profile here, in the comments. Share this link with young people who are choosing a future profession or do not know what they are interested in. https://bit.ly/3Pmp2Gg August 16, 2022 at 02:51PM

Show HN: Integrate.ai – Machine learning and analytics on hard-to-access data https://bit.ly/3JXD8N7

Show HN: Integrate.ai – Machine learning and analytics on hard-to-access data Hey HN! This is Steve from integrate.ai (https://bit.ly/3K5sEvq). Our platform unlocks a range of machine learning and analytics capabilities on data that would otherwise be difficult or impossible to access due to privacy, confidentiality, or technical hurdles. Traditional approaches to machine learning and analytics require centralization and aggregation of data sources. Given the increasingly distributed nature of data - across organizations, across borders, and across connected devices - centralizing the data necessary for machine learning and analytics often requires complex data-sharing agreements, costly pipelines, and supporting infrastructure. The data governance challenges and cost implications of data centralization are blocking the world’s most important data-driven problems, particularly in healthcare, industrial IoT, and finance, where data custodians must enforce the highest privacy and security standards to ensure regulatory and contractual compliance and data is spread across multiple silos or edge environments. Here are a few examples where barriers to data access either slow down or completely block world-changing use cases: (1) Rare disease diagnostics - Research hospitals don’t have enough rare disease data points to build accurate diagnostic models, and they cannot get access to more data from partner hospitals to improve their models (2) Precision medicine - Health data consortiums working on improving medical care for diseases from cancer to heart disease can take years setting up data sharing agreements and implementing governance processes before research begins (3) Drug safety monitoring - Government regulators can’t leverage data that is hard to standardize, such as laboratory, radiology, and pathology results, resulting in potential missed opportunities for detecting side effects or validating product safety (4) Predictive maintenance - Manufacturers don’t have access to all of their data to train predictive maintenance models, because of challenges moving high volumes of data, sporadic data availability at the edge, and customer resistance to providing data access (5) Financial fraud detection - Individual banks and credit card companies lack sufficient fraud data points to train highly accurate models, but face regulatory barriers and concerns about IP sensitivity that limits their ability to share data integrate.ai leverages federated learning and differential privacy to enable machine learning and analytics on sensitive or hard-to-access data wherever it sits, without moving it. It allows data to stay distributed in its original protected environments, while unlocking its value with privacy-protecting machine learning and analytics. Model training and analytics are performed locally, and only end-results like model parameters are aggregated in a secure and confidential manner. We empower product teams to extend machine learning and analytics capabilities in their products in flexible and reliable ways. integrate.ai is packaged as a developer tool, helping developers seamlessly integrate federated learning and federated analytics capabilities into almost any solution with an easy-to-use SDK and supporting cloud services for end-to-end management. Once integrated, end-users can collaborate across sensitive data sets while data custodians retain full control. Solutions incorporating integrate.ai can serve as both effective experimentation tools and production-ready services. You can start building your own federated models and analytics quickly, with our 14-day free trial: https://bit.ly/3K5sEvq. By adopting a federated approach and training models on data where it sits, without moving it, developers will be able to unlock solutions to the world’s most important problems without risking sensitive data. We would love to hear your thoughts on using hard-to-access data for machine learning and analytics, and your feedback on the product. Happy federating! August 16, 2022 at 02:45PM

Show HN: A quiet faster search engine written in Ruby https://bit.ly/3c0Yb4X

Show HN: A quiet faster search engine written in Ruby https://bit.ly/3JWHnIO August 16, 2022 at 01:54PM

Show HN: Synology C2 Object Storage – rids of data egress fees https://bit.ly/3zUJCI6

Show HN: Synology C2 Object Storage – rids of data egress fees https://bit.ly/3w738jk August 16, 2022 at 11:20AM

Show HN: Cookieless Conversion Attribution with Pathview https://bit.ly/3bVjF3k

Show HN: Cookieless Conversion Attribution with Pathview Morning HN. I worked on a cloud CMS and then pivoted an analytics feature to a standalone SaaS. Pathview focuses on the conversion path rather than general analytics. I want to help users optimize conversions. It doesn’t use cookies, contains 160-characters of JavaScript, and leverages HTTP Messaging for a modern take on an old-school analytics approach. I’m close to launching a public beta test and could use a sanity check. Any advice, feedback, or questions for this first-time developer? -sb https://bit.ly/3JYOmRF August 16, 2022 at 10:31AM

Show HN: Octarchive – Back up all repos on a GitHub account locally https://bit.ly/3pi9mZZ

Show HN: Octarchive – Back up all repos on a GitHub account locally Hey HN! I just released Octarchive, a simple tool to back up all repos on a GitHub/Gitea account to a local folder written in Go. If you're worried about loosing your FLOSS work, but are can't keep up with manually mirroring all the repositories, this might be the tool you're looking for. I'd love to get your feedback :) https://bit.ly/3QHC4ix August 15, 2022 at 12:15AM

Show HN: Dump Shadowsocks Credentials from NthLink https://bit.ly/3QsmKqk

Show HN: Dump Shadowsocks Credentials from NthLink https://bit.ly/3Qtj2Ni August 15, 2022 at 12:11AM

Show HN:How We built TinySnap: the anatomy of a browser extension https://bit.ly/3zWf1Kd

Show HN:How We built TinySnap: the anatomy of a browser extension https://bit.ly/3zTUwOl August 15, 2022 at 02:18AM

Show HN: Belua, Beautifully Organised Contacts https://bit.ly/3zRqvP8

Show HN: Belua, Beautifully Organised Contacts Manage and present your contacts with the Belua app on iPhone. Features: Organise - Display generative art for contacts without photo. - Use tags to categorise your contacts. - Use the touch action to surface contacts in recent. - Sort by recent, by recently added, by tag or by country. - Privacy Built-In from the start. - Actions such as favourite, tag and hide work across devices if you are using iCloud. - Works offline Search - Search text in contacts - Diacritic insensitive [a diacritic is a glyph added to a letter or to a basic glyph]. - Works with natural language text to ensure correct behaviour in multiple scripts and languages such as Chinese or Japanese. https://apple.co/3w3TrSX August 14, 2022 at 06:14PM

Show HN: Anysphere, home for important, long-form conversations https://bit.ly/3AoOYgl

Show HN: Anysphere, home for important, long-form conversations Hi everyone! I’m Arvid, cofounder of Anysphere ( https://bit.ly/3dyFLZy ). With my two friends Sualeh and Shengtong I have been spending the last few months building a dedicated home for important, long-form conversations. We’re super excited to let the HN community test it out! We think that no existing platform for point–to-point communication prioritizes the conversations that you actually care about and that really matter. Instant messaging is filled with careless texts and stickers, email is filled with receipts and spammers, and physical mail, while better in those respects, is slow and cumbersome. None of the existing platforms are private enough. Anysphere attempts to fix this. It is private, secure, desktop-first and only allows people you added to contact you. Our whitepaper ( https://bit.ly/3AkSM1R ) describes our privacy and security model in detail — in short, we protect all of your data and metadata against everyone (even our own server). Our client is fully open source: https://bit.ly/3SNWSa1 . We deployed a small server to open up testing to everyone in the HN community. Instructions are here: https://bit.ly/3Qqky2N... . I can’t wait to hear your thoughts! https://bit.ly/3AmYY9S August 15, 2022 at 01:47AM

Show HN: Hacker News Predictions https://bit.ly/3SNlq2V

Show HN: Hacker News Predictions https://bit.ly/3JTKste August 14, 2022 at 05:50PM

Show HN: Build, present and share animated data stories in Jupyter Notebook https://bit.ly/3QLMPQT

Show HN: Build, present and share animated data stories in Jupyter Notebook https://bit.ly/3pjrUcq August 14, 2022 at 11:42AM

Show HN: Quaternions: A Practical Guide https://bit.ly/3Qqsm4q

Show HN: Quaternions: A Practical Guide I wrote this article over the past few weeks, while building a structural chemistry model. I found most sources available either dive into quaternion mathematics and reasoning without building intuition useful in applications, or are documentation for specific computer graphics libraries. I'm using this article as a personal reference; perhaps others will find it useful too. https://bit.ly/3AlLjQo August 14, 2022 at 07:14AM

Show HN: Makerspace for “bad” art and thoughtful subjectivity https://bit.ly/3QEHB9N

Show HN: Makerspace for “bad” art and thoughtful subjectivity Inspired by r/BadArt and r/CrappyArt https://bit.ly/3do5d41 August 14, 2022 at 03:48AM

Show HN: Bog Gobbler Word Game https://bit.ly/3w6LyMv

Show HN: Bog Gobbler Word Game Two years ago my pandemic project was an online multi-player variant of Scrabble named Crossword Island Hopper where you capture territory by placing words on a board. It proved to be wildly unpopular. More recently I have been working on Bog Gobbler, which is a variant of Boggle where you capture territory by finding words in the grid. The territory-capture element is much more relevant in the multi-player game, but also affects the mechanics of solo games. This one is a little more popular and there is a daily solo challenge where everyone plays the same grid, with a global and personal leaderboard. You can go directly to the daily challenge at: https://bit.ly/3QEAoGL If you know how to play Boggle the one thing you need to be aware of is that after the first word you find, all subsequent words must include at least one letter that you already "own". https://bit.ly/3PmYxAy August 13, 2022 at 06:11PM

Show HN: `pdf2searchablepdf` command-line tool to make PDF have searchable text https://bit.ly/3Ajjl7B

Show HN: `pdf2searchablepdf` command-line tool to make PDF have searchable text Easily perform OCR (Optical Character Recognition) on PDFs. `pdf2searchablepdf input.pdf` = voila! "input_searchable.pdf" is created & now has searchable text https://bit.ly/3Al1lKc August 13, 2022 at 11:40PM