Show HN: I turned my email automation tool into a full-fledged email platform https://ift.tt/wSnZFVt

Show HN: I turned my email automation tool into a full-fledged email platform Around 10 months ago, I published a tool I made ( https://ift.tt/1WM7wmq ). I was scouring the market for an affordable and easy-to-use email automation tool, to no avail. The solution? I decided to just build it myself. Since then, I've added the ability to send transactional and broadcast emails, threw out the subscription pricing and turned it into a usage-based model, etc. In short, turned it into a full-fledged email platform designed for SaaS. With this post, I would like to share my learnings, findings... Ask any question and I'll answer it to the best of my ability. Thanks to the feedback of the HN community, I was able to turn this into something that I am still proud of every single day. A sincere thank you from my side. https://ift.tt/4RgVnmf June 9, 2023 at 02:20PM

Show HN: A cross-platform command-line tool to play music https://ift.tt/IHet1DQ

Show HN: A cross-platform command-line tool to play music Can add music from files, YouTube/YT Music links, or Spotify links. Fine-tuned control over looping, shuffling, etc. Built-in audio visualization, stats (yearly and total). Discord integration (status) and Mac integration (works with Siri, touch bar, headphones, any sort of media control on Macs). Honestly think this is a pretty good alternative to tools like ncmpcpp, but lmk what y'all think! https://ift.tt/tCAfFN2 June 9, 2023 at 11:01AM

Show HN: CreatorKit – self-host OSS alternative to Mailchimp and Disqus https://ift.tt/NIuPh5o

Show HN: CreatorKit – self-host OSS alternative to Mailchimp and Disqus https://ift.tt/mKtGqP6 June 9, 2023 at 08:17AM

Show HN: FigMaps, a visual sitemap builder to plan websites and gather content https://ift.tt/6LFXuZr

Show HN: FigMaps, a visual sitemap builder to plan websites and gather content Generate, build, plan and visualize your website structure. Collaborate with your team in real-time to gather content, improve your site architecture, design, UX and SEO. Start prototyping instantly using AI. Please visit https://ift.tt/ZIbUk0F and try it out yourself (Login as guest, no registration required!) https://www.figmaps.com June 8, 2023 at 08:05PM

Show HN: Autodistill – Use big slow foundation models to train small fast models https://ift.tt/YKuSbjF

Show HN: Autodistill – Use big slow foundation models to train small fast models https://ift.tt/e9iR6lE June 9, 2023 at 12:38AM

Show HN: Visibly – More Collaborative and Efficient Code Reviews on GitHub https://ift.tt/u7Y2ka6

Show HN: Visibly – More Collaborative and Efficient Code Reviews on GitHub Hey HN! I’m Nick, the founder of Visibly ( https://visibly.dev ). Visibly is a GitHub App and Chrome extension that makes code review more efficient, collaborative, and visible by enabling you to: - See review comment thread statuses so that you can quickly address each thread and focus your attention on the ones that actually require it - Indicate whether feedback is blocking or non-blocking so only crucial feedback blocks PR merge - Ensure all blocking review threads are addressed before merge via a status check - Track total active review time per reviewer so that you can understand the effort and review time going into each PR - See reviewer presence so that you can see if someone is already reviewing and avoid unnecessary pings. In addition to these workflow improvements, Visibly provides a personalized metrics dashboard so you can understand your real-time performance and better advocate for yourself and advance your career. You can see a demo and a breakdown of all of the current features at https://visibly.dev . I created Visibly after seeing the same pain points across Microsoft, Snap, Headspace, and Brex: - Code review was frequently undervalued and invisible. Developers recognized this and prioritized code production instead, which resulted in knowledge silos, poor code quality, and a culture of rubber stamp reviews. - Engineering performance review was broken. From the manager’s perspective, it was difficult to identify top performers and to provide timely, actionable feedback. From the IC’s perspective, feedback was infrequent and subjective around many aspects of the job. The process was also time-consuming and required everyone to sift through 3-6 months of work to quantify “impact and scope”. Visibly solves these issues by using objective measures to make code review more visible and efficient. Visibly values privacy and security above all else; it does not require source code access and requests the fewest possible permissions to provide these experiences. Visibly is also differentiated in its belief that individuals should know how they’re doing and have personalized metrics so that they can advance in their careers. If you use GitHub, you can try Visibly today for free by heading to https://ift.tt/N6ArPMy . Visibly is currently free, but we plan to introduce paid features and pricing plans soon. Our pricing is still under development, but based on existing customer feedback, we expect to price at $20/seat/month. For those that sign up over the next week, we plan to provide 50% off for the first year once our pricing plans launch. We look forward to your thoughts and feedback! https://visibly.dev June 9, 2023 at 12:06AM

Show HN: Top Podcasts, Summarized by GPT Everyday https://ift.tt/kt5qX3C

Show HN: Top Podcasts, Summarized by GPT Everyday https://ift.tt/3IDxJpd June 8, 2023 at 12:22PM

Show HN: A non-recursive C Quadtree https://ift.tt/XfpwJgt

Show HN: A non-recursive C Quadtree Wazzup Beijing, You might have seen a HSHG written by me the other day (supahero1/hshg, post: https://ift.tt/bzg2EXl ), which I also shared here. Well, I've quickly come to the realization that while grids are really nice, they really suck at handling objects of varying sizes. The HSHG could handle 500k objects of very similar sizes at 60FPS, and this Quadtree handles 100k objects of all sizes (can vastly vary or be similar, doesn't matter) in a similar amount of time. Also, while HSHG was really close to being O(n), this Quadtree is much worse, of course resembling O(log n). The way how I achieve lack of recursivity is doing a modified depth-first search. A modified one, because I first add all child nodes to the stack before descending to the first one of them, so the maximum stack length is depth * 3 + 1 , and I assume no madman will want to go over the depth of 20 (by default, can be changed). For some reason, this time around, running this on my laptop actually results in worse performance than I get on my PC, whereas the situation was the reverse with the HSHG haha. No clue why. Some lack of dirty optimizations I suppose. This time, no JavaScript port. I just wanted to whip out this Quadtree real quick (took me a week in total, from scratch) to use in some other project of mine. However, I do hope some people can make use of it, or maybe learn how non-recursive Quadtrees work, idk. On the other hand, this time I included a nice OpenGL + GLFW display showing exactly what's happening and how the Quadtree divides and merges its nodes. You can move around with your mouse (by dragging), and you can click LMB to warp to the fastest object in your view, which then you can deactivate (stop following the entity) by pressing RMB. Hope you enjoy! ~don_shadaman https://ift.tt/XvhJ34O June 8, 2023 at 05:04PM

Show HN: See Your Future Baby In AI-Generated Photos https://ift.tt/7Q2X3at

Show HN: See Your Future Baby In AI-Generated Photos https://ourbabyai.com June 8, 2023 at 03:05PM

Show HN: Run synchronous and asynchronous commands in WebDrivers https://ift.tt/YeybRWp

Show HN: Run synchronous and asynchronous commands in WebDrivers Caqui is intended to command executions against Drivers synchronously and asynchronously. Launch the Driver as a server and send requests to it. The intention is that the user does not worry about which Driver he/she is using. It can be WebDrivers like Selenium, MobileDrivers like Appium, or DesktopDrivers like Winium. https://ift.tt/cgviNaU June 8, 2023 at 09:00AM

Show HN: Ezno, a TypeScript checker written in Rust, is now open source https://ift.tt/LOKICaz

Show HN: Ezno, a TypeScript checker written in Rust, is now open source https://ift.tt/qf1IHsZ June 8, 2023 at 01:08AM

Show HN: we open sourced an IDE for ML data https://ift.tt/tJmFpbA

Show HN: we open sourced an IDE for ML data Hi HN! I’m Farah, co-founder of Dioptra.ai. We just open sourced katiML ( https://ift.tt/MXGsyik ) this week and wanted to get your take. katiML is a vector+data lake to debug, curate and version AI data. With katiML, teams avoid the “garbage in, garbage out” effect by taking control over the quality of their data. They quickly and effectively curate high quality data for training, fine-tuning, and fixing hallucinations and edge cases. Features include: - Data Curation: interactive embedding visualization and similarity search, mislabeling and hallucination scores as well as SOTA Active Learning miners. - GenAI 4 explainability: uncover drift and bias in your data with multi-modal foundational models that describe in human language what’s in your data. - ML Data Lake: zero copy, highly efficient ML data lake to store and query any ML data (vectors, metadata etc). - Data Versioning: to track changes in datasets, prompts, and model performance; and pinpoint the causes behind those changes. Check out our github repo( https://ift.tt/MXGsyik ), documentation( https://ift.tt/CleNhcx ) and new slack community channel. Here is a video to show you how we use GenAi 4 explainability( https://ift.tt/TcUpwXZ ). We'd love to hear about your experiences with iterating on your data to improve models, the challenges you faced, and how katiML could prove useful to your efforts. Let us know what you think we can do better or differently. Looking forward to your comments! https://ift.tt/TcUpwXZ June 7, 2023 at 11:41PM

Show HN: Simple tool for mobile App Store links https://ift.tt/GPTcbgM

Show HN: Simple tool for mobile App Store links https://installit.app June 7, 2023 at 11:35PM

Show HN: Imuengine.io (NYC S23): Easily Process IMU Data in the Cloud https://ift.tt/Nwf8H43

Show HN: Imuengine.io (NYC S23): Easily Process IMU Data in the Cloud Hello HN! I'm Hamid, one of the co-founders of imuengine.io, a Non-YC startup (NYC ;). We make it easy to process IMU data into accurate motion outputs like slope, tilt/inclination angle, or 3D yaw, pitch, roll. If IMU means something to you, go to https://ift.tt/Nm5orUA and try processing a sample dataset. Below is a bit more detail on the problem and our solution. We’d love to hear about projects using IMU sensors and what new things you could do with cloud-based motion processing! Why we Launched imuengine.io Adding motion sensing to projects can take months and is filled with gotchas. Perhaps you've experienced it or seen all the unanswered questions on SO about imus, gyros, ahrs, Madgwick, Kalman filters... We want to change that. We manage the sensor fusion software and make it easily usable. Any application which logs accel, gyro, and/or mag data and has internet can use us. Simply upload data, run the sensor-fusion engines, download results and move on. And later do the same programmatically via API calls. Prior to this you had two options: (A) Buying a specialized high-tech sensor for your application (B) Buying a general purpose sensing imu chip or package and customizing a sensor fusion lib to use it With (A) the cost can be prohibitive. You also pay with time to understand the sensor firmware and how to configure it. And keeping the firmware up to date is painful and rarely done. Case in point: our engineering services company bought $25k of motion/nav sensors in 2017 and 2020. They now run firmware that are 6 and 3 years old, respectively. Option (B) has a much cheaper BOM and you can leverage a paid or open-source software library for sensor fusion. Initially a chunk of time will go into sensor calibration and possibly packaging. If your application has an engine, then add another 2 months to wrestle with vibration. But a larger time investment will go into the sensor fusion lib and tuning it to the application. Without on-going maintenance, the software can suffer the same fate as Option (A) firmware and risks becoming a liability. Banking on the fact that most things (will) have internet connectivity, we're introducing a third option. It is a cloud computing model and will work with data from any of the awesome IMU sensors out there. It could be an Invensense or Bosch breakout from Sparkfun/Adafruit or a fully packaged and calibrated Analog Devices or Xsens sensor from Digi-Key. Better yet, prove things with the former at your desk and transition to the latter for field tests. We enable that and want to be the go-to cloud computing engine for motion sensors. Our goal is for engineers to work confidently with IMU sensors and deliver results faster. Whereas before sensor performance was stagnant (or downhill), with imuengine.io you can come back from the weekend and the accuracy will have improved and additional features added. Here’s the direct link to try it out: imuengine.io/engine/ June 7, 2023 at 11:01PM

Show HN: Abide – Prevent employees from leaking API keys/NDA data to AI tools https://ift.tt/qZiw5Ir

Show HN: Abide – Prevent employees from leaking API keys/NDA data to AI tools Hi HN, We’re the founders of Abide — a tool to prevent employees from leaking sensitive data to AI models. Over the past month we’ve spoken to lots of friends at tech companies, law firms, creative agencies, and more. There was a consistent theme: companies aren’t sure how AI tools affect their data privacy and security processes. There are concerns that when employees use LLMs to write code or send emails, there's a security/compliance risk (e.g., accidentally sharing an API key in a prompt) or violation of privacy agreements (e.g., using AI to draft a memo about non-public client work). The companies we spoke with have done one of two things: (a) outright banned use of LLMs until they figure out a plan or (b) sent a memo to employees telling them to be cautious. We want everyone to have the 10x productivity gain of AI, but compliance is important for a business to do right by its customers, its regulators, and keep its name out of the news. For now, we’ve built a straightforward product that does two things: (a) an app for compliance teams to upload words that cannot be sent to AI models and (b) a tool that monitors AI usage on employee laptops to enforce those policies. We’re in beta with a couple of customers, but we’d love for you to checkout the demo on the website! If you’re interested, join the sign up list and we’ll set up an account for you today to poke around. Welcome to any questions, feedback, ideas, etc.! Thanks! Jitesh & Vaibhav https://ift.tt/LGCMbFh June 6, 2023 at 11:18PM

Show HN: I made a ChatGPT powered Chrome extension https://ift.tt/jIGrumc

Show HN: I made a ChatGPT powered Chrome extension https://dashai.xyz June 6, 2023 at 10:51AM

Show HN: Open-source web highlighter for notion and hamsterbase https://ift.tt/YJgZ1Ui

Show HN: Open-source web highlighter for notion and hamsterbase https://ift.tt/jgF9C5Z June 6, 2023 at 05:36PM

Show HN: No-code in the front, Python in the back data apps – Streamsync https://ift.tt/WBcp96E

Show HN: No-code in the front, Python in the back data apps – Streamsync https://ift.tt/YayFu9X June 5, 2023 at 07:33PM

Show HN: Graph Visualization of Financial Correlations https://ift.tt/YLMFa2h

Show HN: Graph Visualization of Financial Correlations An attempt to show which financial products are highly correlated, negatively correlated, or non-correlated in an easily understood visual way. Implemented using D3 force-layout, based on daily financial data generated by Google Sheet GOOGLEFINANCE function. https://ift.tt/bEhteNm June 6, 2023 at 11:50AM

Show HN: Dockerless, Elixir Web Application Using Podman and Plug https://ift.tt/Ws5CjMa

Show HN: Dockerless, Elixir Web Application Using Podman and Plug https://ift.tt/YZPNvko June 6, 2023 at 11:36AM