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Explore the hottest developer projects on Show HN for 2024-10-21. Dive into innovative tech, AI applications, and exciting new inventions!
Today’s highlights feature various innovative AI projects. Notable mentions include an AI-driven Uber ordering system, AndyNote for real-time chat transcripts, and an AI shopping assistant based on Reddit reviews. Additionally, tools like Duonut enable conversational surveys, while Epublifier allows users to scrape content for offline reading. Other interesting contributions include an automated SEO keyword research tool, an optimizing C compiler in Rust, and an open-source TikTok feed. Lastly, a zine about LLM system evaluations and the atomic mail service for secure email communication also gained attention.
Author: hackersignal
Description:
Popularity: 1 points | 1 comments
Author: thunderbird007
Description:
Popularity: 2 points | 0 comments
URL: https://critiquebrowser.app/en/flow-api
Author: critiquebrowser
Description: I’ve made a search API that’s agentic all the way. searching, page exploring, results reranking, chunking, all done agentically.
Popularity: 3 points | 0 comments
URL: https://chromewebstore.google.com/detail/namebrand-check-for-amazo/jacmhjjebjgliobjggngkmkmckakphel
Author: e-clinton
Description:
Popularity: 3 points | 3 comments
URL: https://duonut.com/
Author: ramyaduonut
Description: Duonut is more than a survey. It engages your customers with real time follow up questions generated automatically after training AI by pointing it to your URL or an internal doc. Embed anywhere in your product flow or landing page to get AI-generated summaries of responses given by the users.
Popularity: 3 points | 0 comments
URL: https://github.com/xqb64/ucc
Author: xqb64
Description: Hello.
I wanted to share what I had been working on for the past couple of months or so. It’s an optimizing C compiler for a large subset of the C programming language written in Rust. It’s basically a Rust implementation of the C compiler from Nora Sandler’s book[1].
It has been a great educational exercise and I wholeheartedly recommend it to everyone.
[1]: https://nostarch.com/writing-c-compiler
Popularity: 2 points | 1 comments
URL: https://gambleyourstartup.com/
Author: wiksien
Description: Hi! I get often stuck in the ideas stage for my silly startups, so I made an app that generates ideas.
Click the “Let’s go gambling” button to start, then if you like a certain part of the generated idea, you can lock in the words and then gamble again to find something you like.
Lock in all 3 words to finish your startup gambling session.
All of the categories are just hardcoded lists, so if you have any good ideas for new categories, I will add them!
Thank you for reading, and feel free to roast me in the comments. :D
Popularity: 1 points | 0 comments
URL: https://github.com/nsaigal/zoom-sidekick
Author: nsaigal1
Description:
Popularity: 2 points | 1 comments
URL: https://github.com/shoibloya/nuggt-analytics
Author: sneakypie123
Description: Basically in this open source project I created a streamlit dashboard that allows you to integrate analytics to your react component and connecting it to Firestore all using GPT. Then once the events captured data goes to firestore I fetch it back and then you can use the LLM agent to generate decision cards together with visualisations.
Popularity: 1 points | 0 comments
URL: https://github.com/amphi-ai/amphi-etl
Author: thibautdr
Description: Hi everyone,
I’d like to introduce Amphi, a free and source-available visual data transformation tool.
Amphi is a low-code tool designed for data preparation, manipulation and ETL tasks, whether you’re working with files or databases, and it supports a wide range of data transformation operations.
The main difference from tools like Alteryx or Knime is that Amphi is based on Python and generates native Python code (pandas and DuckDB) that you can export and run anywhere. You also have the flexibility to use any Python libraries and integrate custom code directly into your pipeline.
It is available as both a standalone application or a JupyterLab extension (see Github repo for install instructions).
If you’re interested don’t hesitate to give it a try. You can install it via pip (Python and pip need to be installed on your laptop). Don’t hesitate to star the repo and open GitHub issues if you encounter any problems or have suggestions. Amphi is still a young project, so there’s a lot that can be improved.
I’d really appreciate any feedback!
Popularity: 6 points | 1 comments
Author: joelkp
Description: A command-line program that runs scripts for it as audio files, this project has been my main hobby project on and off in 2011-2012 and 2018-present. I’m the sole dev and there’s fairly little discussion about it on the web.
In case of interest, this is the only audio synth program I’m aware of that combines FM & PM with the use of smooth noise (of various types) as both carrier and modulator.
In 2019, before the noise oscillator work, this project was linked on HN (without the “Show HN” part), but no discussion followed. https://news.ycombinator.com/item?id=20663824
2022, I put up a Show HN back when I was just working on a new PRNG algorithm underlying the later noise oscillator. https://news.ycombinator.com/item?id=30787317
Popularity: 3 points | 0 comments
URL: https://www.howtobebestman.com
Author: ntorresdev
Description:
Popularity: 2 points | 1 comments
URL: https://github.com/microsoft/data-formulator
Author: chenglong-hn
Description: Creating data visualizations with AI nowadays often means chat, chat and more chats…and writing long prompts can be annoying while they are also not the most effective way to describe your visualization designs.
Data Formulator blends UI interaction with natural language so that you can create visualizations with AI much more effectively!
You can:
* create rich visualizations beyond initial datasets, where AI helps transforming and visualizing data along the way
* iterate your designs and dive deeper using data threads, a new way to manage your conversation with AI.
Here is a demo video: https://github.com/microsoft/data-formulator/releases/tag/0…
Give it a shot and let us know how it looks like!
Popularity: 131 points | 13 comments
URL: https://determinate.systems/posts/announcing-determinate-nix/
Author: grhmc
Description:
Popularity: 6 points | 1 comments
URL: https://github.com/GraySwanAI/nanoGCG
Author: jwngx
Description:
Popularity: 1 points | 0 comments
Author: travisjbeck
Description: Ahrefs and SEMrush are the big names in keyword research, but they overwhelm you with data, making it hard to determine your next steps. I wanted to simplify the process to just one click. So, I created a system that scans your homepage, performs keyword research, and delivers a list of target keywords in your niche—ranging from easy to rank (low traffic) to moderately difficult (higher traffic). I also developed an AI content writer with industry-leading humanized outputs, ranking the lowest on AI detection algorithms. With these two tools, you can handle 80% of your startup’s baseline SEO in just a few clicks.
Popularity: 2 points | 1 comments
URL: https://github.com/vault-developer/event-loop-explorer
Author: vault-developer
Description: Hey everyone! As a senior software engineer, I help junior developers on their professional growth journey. While the event loop concept might be challenging for learners and beginners, it’s one of the fundamentals in frontend development. This topic has been explained in several conferences, and even some interactive playgrounds have been created. (Andrew Dillon’s simulator is the one I was inspired by).
However, my idea was to add more dynamics and cover all important sections:
I decided to have fun and created a small pet project. It aims to visualize event loop steps in a browser environment. You can change the code in the editor or select one of the existing examples. I hope you find it useful! Have fun! https://vault-developer.github.io/event-loop-explorer/
P.S. Given that it’s a simulation of real environment behavior, it has some limitations. Feel free to check details in the GitHub README; the project is open-sourced under MIT license.
Popularity: 2 points | 1 comments
URL: https://yfind.co/
Author: fredmarc
Description: Last June I was shopping for a new gaming mouse, and I read around 10 reviews, blogs and watched YouTube videos to make a decision. I thought about all this time spent, and started to build yfind.co, it’s still a work in progress, but you can search for whatever product you are shopping for and it’ll give you suggestions based on Reddit’s threads.
Next step is to add more reviews sources (outside or Reddit) to improve the results
I’d would love for you to try yfind.co and would really appreciate any feedback!
Popularity: 2 points | 2 comments
URL: https://github.com/topherjaynes/Screenshot-Holmes
Author: topherjaynes
Description: My first public repo intended to be used by others. While I am curious on how you’d use it, I’d love feedback on the code/setup/pythonic nature of it all. I am on a career break and just experimenting a lot, especially on ways to make AI useful for everyday things. I’ve coded more in the past 6 weeks than the past 6 years and don’t know a lot of python devs. Python was never big language at my previous companies, but something I used a lot for tools and projects going back to college compiler days. Old habits die hard.
Are there tools that do this as you screenshot? Probably… I’ve about about 10k screenshots from over the years, and it’s nice to scroll back through them with contextual filenames. Seemed like a good use case to use 4o mini vision and I was surprised at the results.
Popularity: 5 points | 0 comments
URL: https://www.cgft.io/xcode
Author: kumama
Description: Download link: https://www.cgft.io/xcode
Here are a few reasons to give this a shot, compared to others (e.g. Apple’s Swift prediction):
Model Choice Use any local model you prefer through Ollama, or opt for our cloud-hosted model for longer context windows if RAM is tight (no code is retained on our servers).
Local Code Context Your codebase is indexed locally and relevant snippets are fed into model prompts for more relevant code suggestions.
In-line Suggestions Suggestions show up nicely in-line with your code, not in a separate modal.
Give it a try—hope it’s helpful!
Popularity: 2 points | 0 comments
URL: https://onemillionandonecheckboxes.com/
Author: gandreani
Description: Hello!
As soon as I saw eieio’s https://onemillioncheckboxes.com/, I knew I wanted to try it out using Elixir. The original was created using Python and Redis (later Go and Redis) but this one is using just one Elixir server and HAProxy for SSL termination. It’s also using S3 to show the overview page where all the checkboxes are drawn on a 1000x1000 canvas.
The whole site is running on a 4 core 8 GB Hetzner VPS so I’m interested to see how it will hold up.
This took an embarrassingly long amount of time to complete (the first commit was on July 23) but it was my first real attempt at coding anything significant in Elixir.
Initially I tried using LiveView but there were performance issues just rendering 2000 checkboxes on screen. I was also unsuccessful in using the new Streams concept in LiveView which is supposed to help with these “more data than you can render” scenarios.
In the end I used LiveView to render the header and have it update on a timer, and the checkboxes are rendered with Mithril.js. The checkbox info is passed via the LiveView websocket connection and any update to a checkbox is passed through that channel as well.
I’m stepping away for the next half an hour to run an errand but I’ll be back to answer any questions people might have!
Please try to break my site and invite your friends to do the same
Popularity: 4 points | 0 comments
URL: https://github.com/glassesmonkey/geometry-dash-jp
Author: alexfefun
Description: Demo :https://geometrydashjp.com/
Popularity: 2 points | 0 comments
URL: #
Author: iamwil
Description: Hey all!
@sridatta and I wrote a book/zine called Forest Friends on system evals for LLM-driven apps. But it’s a bit more whimsical, a bit more visual, and very much inspired by the meme of LLMs being a shoggoth polished into a smiley face with RLHF.
LLM system evals are important as companies move past the flashy AI demos to reliable production apps. System evals keep coming up as the answer for what you “should do”, but it’s not exactly a standard part of the software engineering toolkit.
So we pulled from @sridatta’s seven years as a research engineer at Google, plus a ton of best practices from around the web, and we wrote a zine that could take you from zero to eval in a way that’s fun to read.
To be clear, model evals and system evals are two different things. The former compares different models, and the latter is a metric on how well you’re servicing your customer queries. When you create a system eval, you’re essentially defining what “good” looks like for your system. Lots of people use “vibes-based evals” (LGTM@K). It’s a good place to start and will get you further than you think. But at some point, you need system evals as you get more users and more diversity in queries. To quote:
Garry Tan says “Don’t rawdog your prompts! Write evals!“https://x.com/garrytan/status/1842210665550983409
Swyx says “Production AI Engineering starts with Evals”https://x.com/latentspacepod/status/1844870676202783126
How did we end up doing a zine? Coming off collaborating on the Technium Podcast, we wanted to tackle a topic where we had deep expertise while also exercising our entrepreneurial muscles. We came up with writing a zine, inspired by Julia Evans’ Wizard Zine and Sailor Mercury’s Bubble Zine. Originally, we were shooting for 30 pages, but ended up with 60 pages.
This was also an experiment in image generation for a product. Initially, I created illustrations by hand. Midway, I decided to switch to using Midjourney to make our deadline. I needed to generate scenes with consistent characters in a specific style set in a specific architecture, and it turned out to be hard.
Initially, I would be generating images 8 to 10 hours a day. Eventually, I got better at predicting what would work, and generating a suitable image dropped to 1.5 hours. Rest assured, however, all the text is human-generated and hand-edited.
The issue has been well received so far. Here are some quotes from early readers:
“Thanks for this resource! It provides a comprehensive introduction to LLM evaluation systems that rings true to my daily work as an AI engineer—all in less than an hour of reading and with minimal jargon. I’ll be recommending this to my team."
"I was a fan of The Poignant Guide to Ruby many years ago, so it’s great to see a playfulness brought to the world of LLMs. I’m building an evals platform that makes it as easy as possible for any developer to get started with evals. This edition has been great to make sure we get the basics and terminology right."
"Here’s an engaging intro to evals by @sridatta and @iamwil. They’ve clearly put a lot of care and effort into it, where the content is well organized with plenty of illustrations throughout. Across 60 pages, they explain model vs. system evals, vibe checks and property-based tests, designing eval criteria, aligning LLM evaluators, how to measure alignment via various metrics, how to analyze evals to improve our system, and more. Now I can just direct folks to [the zine] instead of having to write it myself haha”
The zine is available now. There’s a preview if you want to check the vibe. https://forestfriends.tech/assets/preview.pdf
I’d love to hear any feedback on the first issue, or what other topics you’d like to see tackled in later issues. If you have questions about the process of making the zine, I’d be happy to answer those also.
Here’s the link: https://forestfriends.tech
Here’s where to buy: https://issue1.forestfriends.tech/
Popularity: 7 points | 2 comments
URL: https://apps.apple.com/us/app/vibing-check-vibe-start-date/id6670462536
Author: alexzhangfire
Description: Hi HN!
I built this one, Vibing: https://vibing.fun/ simply because I really don’t like shallow profiles and convos. And I don’t think it’s people’s fault. The current picture-sharing mechanism almost guarantees staged profiles since people only want to share their best part and keep swiping (wanting more).
With Vibing, users are now prompted to take videos themselves, powered by GPT in the app to share their daily lives and unfiltered personalities. I feel in this way, people can go beyond the looks and start looking for something deeper and make authentic connections.
Just a thought and I built the prototype. Here is a rough demo: https://www.youtube.com/watch?v=1hIYB7BfH90&list=LL
If you are interested, we will have the beta testing in New York and you can join us together!
Thanks for reading - would love to hear your feedback!
Popularity: 1 points | 4 comments
URL: https://github.com/superlucky84/state-ref
Author: superlucky84
Description:
Popularity: 1 points | 2 comments
URL: https://llamaworkspace.ai
Author: c990802
Description: Hey HN! We are happy to share with you our latest project: Llama Workspace (https://llamaworkspace.ai).
It’s an open-source ChatGPT Teams alternative made with the needs of businesses and organizations in mind.
It has everything you can expect from ChatGPT, plus first class support for users and roles management, as well as advanced collaboration features. We’ve made it very easy to self-host anywhere you like, and we also provide a cloud version. So no excuse for trying it out!
Why using Llama Workspace instead of ChatGPT Teams?
- You have access to all the major Large Language models in one place, including GPT-4, Claude Sonnet or Gemini.
Here’s the Github link: https://github.com/llamaworkspace/llamaworkspace
I would love to hear your ideas, experience, and feedback about the product! What should we implement next?
Popularity: 19 points | 2 comments
URL: #
Author: iamwil
Description: Hey all!
@sridatta and I wrote a book/zine called Forest Friends on system evals for LLM-driven apps. But it’s a bit more whimsical, a bit more visual, and very much inspired by the meme of LLMs being a shoggoth polished into a smiley face with RLHF.
LLM system evals are important as companies move past the flashy AI demos to reliable production apps. System evals keep coming up as the answer for what you “should do”, but it’s not exactly a standard part of the software engineering toolkit.
So we pulled from @sridatta’s seven years as a research engineer at Google, plus a ton of best practices from around the web, and we wrote a zine that could take you from zero to eval in a way that’s fun to read.
To be clear, model evals and system evals are two different things. The former compares different models, and the latter is a metric on how well you’re servicing your customer queries. When you create a system eval, you’re essentially defining what “good” looks like for your system. Lots of people use “vibes-based evals” (LGTM@K). It’s a good place to start and will get you further than you think. But at some point, you need system evals as you get more users and more diversity in queries. To quote:
Garry Tan says “Don’t rawdog your prompts! Write evals!“https://x.com/garrytan/status/1842210665550983409
Swyx says “Production AI Engineering starts with Evals”https://x.com/latentspacepod/status/1844870676202783126
How did we end up doing a zine? Coming off collaborating on the Technium Podcast, we wanted to tackle a topic where we had deep expertise while also exercising our entrepreneurial muscles. We came up with writing a zine, inspired by Julia Evans’ Wizard Zine and Sailor Mercury’s Bubble Zine. Originally, we were shooting for 30 pages, but ended up with 60 pages.
This was also an experiment in image generation for a product. Initially, I created illustrations by hand. Midway, I decided to switch to using Midjourney to make our deadline. I needed to generate scenes with consistent characters in a specific style set in a specific architecture, and it turned out to be hard.
Initially, I would be generating images 8 to 10 hours a day. Eventually, I got better at predicting what would work, and generating a suitable image dropped to 1.5 hours. Rest assured, however, all the text is human-generated and hand-edited.
The issue has been well received so far. Here are some quotes from early readers:
“Thanks for this resource! It provides a comprehensive introduction to LLM evaluation systems that rings true to my daily work as an AI engineer—all in less than an hour of reading and with minimal jargon. I’ll be recommending this to my team."
"I was a fan of The Poignant Guide to Ruby many years ago, so it’s great to see a playfulness brought to the world of LLMs. I’m building an evals platform that makes it as easy as possible for any developer to get started with evals. This edition has been great to make sure we get the basics and terminology right."
"Here’s an engaging intro to evals by @sridatta and @iamwil. They’ve clearly put a lot of care and effort into it, where the content is well organized with plenty of illustrations throughout. Across 60 pages, they explain model vs. system evals, vibe checks and property-based tests, designing eval criteria, aligning LLM evaluators, how to measure alignment via various metrics, how to analyze evals to improve our system, and more. Now I can just direct folks to [the zine] instead of having to write it myself haha”
The zine is available now. There’s a preview if you want to check the vibe. https://forestfriends.tech/assets/preview.pdf
I’d love to hear any feedback on the first issue, or what other topics you’d like to see tackled in later issues. If you have questions about the process of making the zine, I’d be happy to answer those also.
Here’s the link: https://forestfriends.tech
Here’s where to buy: https://issue1.forestfriends.tech/
Popularity: 2 points | 0 comments
Author: peterudokaa
Description: Prioritise your to-do list with the free online Eisenhower Matrix App, and break urgent and important tasks down. Get templates for task management.
Added a feature to generate AI suggestions of what task to prioritize
Popularity: 1 points | 0 comments
URL: https://adj.news/
Author: lucaskohorst
Description: Adjacent News is a new-age media venture that is focused on using prediction markets and forecasting platforms to add context to the news you already read, where you read it. Generate news that is driven by changes in the markets and provide trading and data platforms.
Popularity: 1 points | 0 comments
URL: https://awesome-docs.gallery/
Author: fazlerocks
Description:
Popularity: 1 points | 0 comments
URL: https://iphoneteleprompter.com/
Author: mattgecko
Description: I Built what I believe to be the best online teleprompter that is 100% free and I would love any feedback on any aspects of the site!
Popularity: 5 points | 0 comments
URL: https://github.com/maoserr/epublifier
Author: maoserr
Description:
Popularity: 273 points | 43 comments
URL: https://airlinedelays.io/
Author: defluyter
Description: I wanted to try a new airline and ended up being stuck at my destination for 2 extra days because the return flight was cancelled. My only way to judge the new airline before booking the flight was its brand appeal and premium ticket prices. Now we have a way to form a better decision and look at historical data in terms of cancellations and delays. We could even choose to avoid some airports that have significant departure delays.
Popularity: 3 points | 1 comments
URL: https://withnovo.com
Author: anuragk11
Description: Hey HN, I’ve been working on Novo, a tool to help lean teams tackle the challenge of generating content quickly and accurately.
The problem:
When you’re a small team working on shipping new features, writing detailed content for launches—like blogs, emails, user documentation, and social media posts—can be time-consuming. It’s a drain on resources that could be better spent building and iterating on the product.
The solution:
With Novo, you can upload your feature specs, and the tool generates launch content—from blog posts to email sequences and social media snippets—in just a few clicks. It’s designed to produce a solid first draft that’s ready for quick edits, making the content creation process more efficient without compromising on accuracy or quality.
It also works great for generating marketing materials such as cold email sequences, Twitter threads, and ad copies.
I’m focused on simplifying the editing process, too. The goal is not just to give you a high-quality, accurate draft quickly, but also to help you polish using an AI-first editor.
Would love any feedback or thoughts from the community!
Popularity: 3 points | 0 comments
URL: https://www.maidofhonorspeech.net
Author: ntorresdev
Description:
Popularity: 3 points | 3 comments
URL: https://apps.microsoft.com/detail/9njldhjwlfv7?hl=en-US&gl=US
Author: cantouch
Description:
Popularity: 2 points | 0 comments
URL: https://umel.cz/
Author: honzarox
Description: We are launching an AI powered search engine for the Czech market. We are launching an AI powered search engine for the Czech market. We are launching an AI powered search engine for the Czech market. Our search engine leverages intelligent agents to explore both the web and its own dynamically built internal database, created as it crawls sites. We believe this approach delivers more meaningful results, bypassing the clutter of sponsored content and SEO-gamed pages that dominate traditional search rankings.
Popularity: 2 points | 0 comments
URL: https://github.com/punnerud/csv_sql_graph
Author: punnerud
Description:
Popularity: 5 points | 0 comments
URL: https://www.hyperkit.xyz/
Author: chrsgrrtt
Description: I’ve been working on Hyperkit over the past couple of weeks, to scratch an itch. It’s a collection of custom elements (web components) for common UX patterns like modals, sortable lists and repeating fieldsets.
I’m fed up of reaching for React when I need enhanced UX. The “peppering of Javascript” frameworks like Stimulus always feel disconnected; I really don’t like relying on data attribute incantations to attach clientside behaviour.
So I’ve started Hyperkit, a collection of headless custom elements that make it trivial to add rich UI features to apps built with server-side frameworks like Rails or Revel. Because their all custom elements, they’re just HTML tags, with all the behaviour encapsulated in the tags. Each component is headless - bring your own styling. It’s akin to Headless UI in spirit, but without the need for JavaScript.
Popularity: 4 points | 0 comments
Author: saran945
Description: Hi HN,
I created this product to monitor specific search result pages. It’s rare to find RSS feeds for SERPs, this tool also works well for any page that lists items. I used LLM for wrapper creation (with an average cost of $1 per list). The wrappers are maintained as long as the page structure remains unchanged. Each feed is scheduled to crawl every 4 hours.
I’d appreciate any feedback, suggestions, or questions you may have.
Popularity: 3 points | 0 comments
URL: https://projects.priyavkaneria.com/
Author: diginova
Description:
Popularity: 2 points | 4 comments
URL: https://github.com/will-moss/erin
Author: willmoss
Description:
Popularity: 115 points | 48 comments
Author: hapiben
Description: I built a tool called LazyLink to solve a problem I kept running into. You know when you’re writing blog posts, affiliate content, or even updating a website, and you have to keep adding links to certain keywords over and over again? It’s such a time-drain.
So, I made LazyLink — a simple tool that automatically converts your defined keywords into clickable links. You just tell it what words to link (like “Google” to google.com) and then paste in your content. It spits out the linked version in Rich Text, Markdown, or HTML, ready to go! No more manual linking.
Check it out if this sounds like something you could use! Would love your thoughts or suggestions for improvement.
Popularity: 6 points | 0 comments
URL: https://github.com/ddries/d2c.sh
Author: kurokawad
Description: Easily update Cloudflare records for your dynamic IP or homelab, now supporting IPv6 (A and AAAA), with the ubiquity of Bash
Popularity: 12 points | 9 comments
URL: https://nextread.ai/
Author: ailibrarian
Description:
Popularity: 10 points | 18 comments
Author: exam-now_com
Description: Hello HN,
I’ve built a tool that generates quizzes using AI, allowing users to create custom questions from any topic or uploaded presentations. It’s particularly useful for students who want to prep for exams or educators looking to enhance their lessons. The tool instantly generates relevant questions based on the input and exports them as PDFs for offline use.
Key features:
- Generate quizzes on any topic or from uploaded presentations
- Export quizzes as PDFs for offline study or classroom use
- 30,000 free characters monthly on a forever free plan
This project aims to simplify quiz creation, making it easier for both learners and educators to practice or teach effectively.
Would love to get feedback from the HN community!
Popularity: 1 points | 0 comments
URL: https://maillab.ai/editor
Author: kewFTW
Description:
Popularity: 2 points | 1 comments
URL: https://atomicmail.io/app/auth/sign-up
Author: armenbag
Description: We’re excited to introduce Atomic Mail, an encrypted email service designed to prioritize your privacy and security. In a world where data breaches are becoming more common, our goal is to offer a simple yet powerful solution for secure communication.
We’re currently in beta and would love to have the Hacker News community put it to the test. Your feedback will be invaluable in helping us refine the product and improve the overall user experience.
Atomic Mail is a secure and user-centric email hosting provider, dedicated to offering privacy-first email services. With features such as alias creation, robust security measures, and seamless account recovery, Atomic Mail ensures your email experience is both private and hassle-free.
Key Features: Hide-my-email: Maintain your privacy by creating multiple email aliases. This allows you to send and receive emails without revealing your primary email address, effectively protecting your identity.
Spam Free, No Ads: Enjoy a clean and focused inbox with Atomic Mail’s advanced spam filters. Say goodbye to unwanted advertisements and distractions, ensuring a clutter-free email experience.
Email Password Protection: Secure your email account with robust password protection, adding an extra layer of security to keep your communications safe from unauthorized access.
End-to-End Encryption: Protect your emails with end-to-end encryption, ensuring that only you and your intended recipient can read the messages, safeguarding your sensitive information.
Zero Access Encryption: Benefit from zero access encryption, where even Atomic Mail cannot access your emails. Your data remains exclusively yours, providing the utmost privacy.
Account Recovery with Seed Phrase: Easily recover access to your account with a unique seed phrase. This innovative recovery method ensures you can regain control of your email account without compromising security.
Popularity: 4 points | 2 comments
Author: bockerwee
Description: As an indie hacker, I used to spend hours creating landing pages for my side projects and SaaS.
So, in the past few months, I built Webifier.io.
It converts prompts into full blown landing pages that are customized for you. This includes: animations, custom sections, etc. You can then export a clean React/Next project.
Can’t wait to hear what you think!
Popularity: 5 points | 2 comments
Today’s Show HN roundup showcases a diverse range of innovative projects. From AI-powered tools to creative coding solutions, these projects reflect the dynamic nature of our tech community. Which project caught your attention the most? Let us know in the comments!
Tags: #ShowHN #TechInnovation #DeveloperProjects #AI Applications #Open Source Software