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Explore the hottest developer projects on Show HN for 2024-11-14. Dive into innovative tech, AI applications, and exciting new inventions!
Today’s highlights feature a variety of innovative projects shared by developers. Key offerings include Job-Scout, a command-line job fetching tool; FoundrAI, an AI platform for startup idea validation; Memoripy, an AI memory layer; and ChessPredict, a real-time analysis tool for chess. Other notable projects are the AI-powered video playlists tool Remy, a portable tar package manager, and a scam detection database. Various tools for QA, feature flagging, and document generation also showcased technological advancements aimed at enhancing productivity and user experience. Feedback is actively sought to refine these tools further.
URL: https://github.com/ShreeshaBhat1004/Job-scout
Author: shreeshabhat043
Description:
Popularity: 2 points | 0 comments
URL: https://github.com/suzuki-2001/pytorch-proVLAE
Author: ss-13
Description: This is a PyTorch implementation of the paper PROGRESSIVE LEARNING AND DISENTANGLEMENT OF HIERARCHICAL REPRESENTATIONS by Zhiyuan et al, ICLR 2020. The official code for proVLAE, implemented in TensorFlow: https://github.com/Zhiyuan1991/proVLAE
Popularity: 2 points | 0 comments
Author: vnprasad
Description: Hey HN Community,
I’m excited to share FoundrAI, a platform I’ve been working on to help entrepreneurs and innovators validate their business ideas with AI-powered insights.
What FoundrAI Does: Generates and refines ideas tailored to your goals and market. Provides in-depth competitor analysis to help you position your product. Identifies emerging market trends to align your ideas with demand. Helps you create actionable product roadmaps and revenue models.
Why It Matters: As an entrepreneur, I’ve seen how much time and effort goes into validating ideas manually. FoundrAI simplifies this process, providing actionable insights to save time and reduce the risk of pursuing ideas that might not work.
What’s Next? We’re launching in January 2025, but I’d love your feedback as we refine the platform. If this sounds interesting, you can join our waitlist here: https://v2.foundrai.com.
What I’d Love from You: Feedback on the concept: What features or tools would you find most helpful? Ideas on how to improve FoundrAI for entrepreneurs like you.
I’d love to hear your thoughts and answer any questions you have. Thanks for taking a look!
Popularity: 1 points | 0 comments
URL: https://app.swastikai.com/
Author: chirotpal
Description:
Popularity: 1 points | 3 comments
URL: https://www.webportfolios.dev
Author: jtrevdev
Description: All-in-one developer platform for portfolio inspiration. View developer portfolio examples uploaded by real developers in our community.
Popularity: 1 points | 0 comments
URL: https://www.robustlaunch.com/
Author: vishva13
Description:
Popularity: 3 points | 0 comments
URL: https://apps.apple.com/us/app/eyeball-widget/id6670705634
Author: quinto_quarto
Description:
Popularity: 3 points | 0 comments
URL: https://www.integry.ai/ai
Author: nashadelic
Description: Hello fellow hackers (insert gif, you know the one)
Give a prompt to our Function Prediction API; we’ll predict the app and return the function and its arguments. Use our SDK and get the user to connect their account, get the user to confirm the arguments in a UI (if needed), and execute the function.
Docs: https://integry.gitbook.io/docs/functions/overview
Popularity: 6 points | 5 comments
URL: https://chromewebstore.google.com/detail/chess-predict-extension/bcjbjjnimehokcekjaojnbmgmelfhiad
Author: akny97
Description: Hey HN!
I’m excited to share ChessPredict, a Chrome extension I built to help chess players learn and improve by providing real-time move suggestions and explanations. Designed to be used with sites like chess.com, ChessPredict captures the board position as you play, recommends the best move, and uses AI and TTS (text-to-speech) to explain why that move is optimal.
Key Features:
Real-Time Analysis & Explanations: Move suggestions with AI-driven insights on strategy, making learning interactive and easy to understand. Hint Feature: Highlights which piece to move without specifying the destination, encouraging thoughtful play. Mobile Compatibility: Works on both desktop and mobile for on-the-go learning. Advanced Analysis in Development: We’re working on new features to understand and provide insights into player behavior. Important Disclaimer on Cheating ChessPredict is strictly for learning and personal improvement, not for competitive advantage. Using assistance during online matches may violate platform rules and is considered cheating. We strongly encourage responsible use—please only use ChessPredict in casual or self-paced games where fair play is maintained.
Check out ChessPredict here. I’d love to hear feedback from the HN community!
Popularity: 1 points | 0 comments
URL: https://github.com/finnvoor/SwiftUIFX
Author: finnv
Description: SwiftUIFX is an experimental plugin I made for Final Cut Pro that lets you create a SwiftUI view that is rendered on top of your video. You can access environment values for the current render time, letting you use SwiftUI’s animation system to add complex effects to your timeline.
I mainly just made this to try out FCP’s plugin API, but I think writing video effects in code is a pretty interesting idea, so feel free to give it a try!
Popularity: 2 points | 0 comments
URL: https://github.com/caspianmoon/memoripy
Author: cutout11
Description: Hey HN! I built Memoripy, a memory layer for AI that adds short-term, long-term, and semantic memory capabilities to enhance LLM applications. It helps AI systems retain and prioritize past interactions, adapt over time, and respond with greater context and personalization. Memoripy uses semantic clustering to retrieve relevant memories, along with adaptive memory decay and reinforcement, so interactions stay fresh and context-aware. It’s designed for easy integration with OpenAI, Ollama, and other platforms—giving your AI applications dynamic memory management with minimal setup.
Would love to hear your thoughts and feedback!
Popularity: 6 points | 4 comments
URL: https://railway.com/
Author: justjake
Description:
Popularity: 12 points | 4 comments
URL: https://factful.io/
Author: Jainish08
Description: Hey HN! Jainish here—super excited to share that my friends and I have just launched Factful, an Integrated Writing Environment (IWE) that many of you helped shape with your feedback.
For those who missed our last post (https://news.ycombinator.com/item?id=40222051), we shared an early version of Factful and were amazed to see over 20,000 users giving it a try. Since then, we’ve been hard at work refining the platform based on your suggestions. Factful is now a complete IWE that offers everything you need to write, edit, and fact-check in one streamlined environment, helping you stay productive and ensure every piece is accurate and credible. It also provides grammar & suggestions based on writing style & locale, along with personalized analytics. We also support google drive integration, our google auth is in the process of getting approved. Rich text editor and chrome extension is also in development.
For businesses and teams, Factful offers custom B2B features tailored to meet organizational needs. These include advanced usage analytics, dev API, and and an admin dashboard that allows team leaders to oversee account settings, manage workflows, and customize Factful’s toolset for their specific goals. Whether you’re working on internal documentation, marketing materials, or research-heavy projects, Factful enables seamless collaboration and high-quality content creation across your team. We also offer a custom fact-checking AI model to correct employee-written text on internal knowledge set (invoices, company policies, receipts, etc.)
One of our standout features is the inline forward-slash commands, which make your workflow even faster. Commands like /search (for web lookups, including academic papers), /translate, /paraphrase, and /synonym or /antonym help you research, refine, and adjust your writing seamlessly (many more to come!) Here’s a guide: https://docs.google.com/document/d/1Ovm2b5KOke7Ng94P5MVTDSyJ…
For a limited time, we’re offering free premium access so that everyone can try out these features at no cost. We’d love for you to give Factful a try, whether you’re an individual user or a business looking for smarter writing solutions. Your feedback has been invaluable, and we can’t wait to hear more! Thanks for helping us make Factful the best it can be!
Popularity: 12 points | 4 comments
URL: https://github.com/redking00/vscode-nbts
Author: redking00
Description: DenoNBTS is a fork of the original VSCode Deno extension from denoland and adds support for deno lsp on notebooks. It also defines a new type of notebook (*.nb.ts) and provides a kernel to run them without Python.
Popularity: 1 points | 0 comments
URL: https://www.perfagents.com/
Author: ajith-joseph
Description: Hello HN! We’re excited to share PerfAgents, a synthetic monitoring tool built for startups and enterprises seeking robust and proactive monitoring across global regions.
TL;DR:
PerfAgents is a synthetic monitoring platform that uses your existing E2E automation scripts (Playwright, Puppeteer, Cypress, and Selenium) for web app monitoring, reducing setup time by 80%. No complex integrations, no vendor lock-in, and proactive alerts that let you catch bugs before users do.
Problem We’re Solving:
Ensuring application reliability across all regions is tough, especially when existing monitoring tools either require extensive DevOps/QA setup or lock users into proprietary workflows. This results in inefficient workflows, delayed issue detection, and, often, user-facing bugs in production environments.
How We Solved It:
PerfAgents offers a multi-framework approach that lets you monitor app functionality without needing new integrations or script re-recording. By reusing existing end-to-end scripts, PerfAgents makes setup fast, keeps monitoring flexible, and allows teams to detect and resolve issues faster.
Features include:
-> Multi-framework support for Playwright, Puppeteer, Cypress, and Selenium
-> AI-driven monitoring script generation to automate monitoring setups with no code
-> Global test execution for instant insights across regions
-> Real-time alerts integrated with popular tools (Slack, PagerDuty, Jira)
-> Flexible pricing based on execution frequency, not script complexity
How It Works:
-> Setup: Connect your GitHub repository to import existing scripts, or use our built-in AI tools for zero-code setups.
-> Monitor & Alert: Configure regional monitoring and alert channels, with real-time notifications when an issue occurs.
-> Optimize & Scale: Review logs, performance reports, and leverage our multi-framework support to refine application flow monitoring.
Key Benefits:
-> Faster issue resolution: Early detection and instant alerts prevent downtime and improve stability.
-> Cross-team collaboration: Centralized data helps DevOps, QA, and product teams collaborate more effectively.
-> Flexible framework support: Avoid vendor lock-in with multi-framework compatibility.
-> High scalability: Configurable monitoring counts ensure you’re only paying for what you use.
PerfAgents is already in use by Fortune 500 companies and has helped SaaS and e-commerce teams reduce downtime by 40% and cut support tickets by nearly 57%.
Who It’s For:
-> DevOps, QA, and Engineering leaders looking to optimize monitoring setup and execution
-> Teams already using frameworks like Playwright, Puppeteer, Cypress, or Selenium
-> SaaS and e-commerce platforms where reliable, global user flows are critical
PerfAgents is available for a free trial now. We’d love to hear your thoughts, and if you have any questions, feel free to ask!
Popularity: 5 points | 2 comments
Author: andy89
Description: Discover how LogicBallsAI and TWO.AI are democratizing AI for regional languages in India! From boosting engagement to empowering small businesses, this partnership is making AI simple, accessible, and impactful
Popularity: 1 points | 0 comments
Author: pratikdaigavane
Description: Hey HN! I built a platform called QueryLab that offers instant AI-powered cloud database sandboxes with natural language querying, visualizations, and external data integration.
Each database sandbox is paired with a powerful LLM, unlocking a range of exciting use cases!
Here is a quick demo: https://www.youtube.com/watch?v=sk6LvoN9rCw
Any feedback or ideas I’m all ears :)
Popularity: 3 points | 2 comments
URL: https://saga.so/
Author: tin7in
Description:
Popularity: 4 points | 3 comments
URL: https://wisdomoracle.netlify.app/
Author: codetoli
Description: Please Tell your reviews
Popularity: 1 points | 0 comments
URL: https://github.com/aidenybai/react-scan
Author: aidenyb
Description:
Popularity: 2 points | 0 comments
URL: https://usetrmnl.com
Author: ryanckulp
Description: hi folks, i’m the founder of TRMNL.
we launched a KS over the summer, and now ship devices same-day.
open source firmware, no subscriptions, no ads, 50+ native plugins already, and a simple API to build your own for private or public use.
happy to answer any questions!
Ryan
Popularity: 16 points | 12 comments
URL: https://github.com/OrangeCollective/unicorn-ratio
Author: davecyen
Description: I help run a YC alumni-led fund, and one of the questions that always comes up for our group is: What’s the optimal number of YC companies to back per batch?
We built an app that uses two models for approaching this problem - we call it the Unicorn Ratio.
Live version: https://orangecollective.vc/unicorn-ratio
Repo: https://github.com/orangecollective/unicorn-ratio
The two models it uses are:
Kelly Criterion—A mathematical model that optimizes portfolio construction. https://www.investopedia.com/articles/trading/04/091504.asp
Binomial Distribution—A probability model that predicts your chances of backing a unicorn based on portfolio size and historical success rates https://www.investopedia.com/terms/b/binomialdistribution.as…
We actually learned of the Kelly model last week during a call that YC organized for a group of demo day investors (thanks YC). We built and open-sourced this in the same spirit of collaboration.
Related, on the My First Million podcast, Garry revealed some data for investors at YC Demo Day—specifically the returns for investors who consistently backed 3+ startups each batch over a two-year span. Here’s the 1 min clip.
https://youtube.com/clip/UgkxVnlzcslmeMCTDFc9G2R—W7pigxVe8N…
So, what’s the takeaway here?
Conventional VC wisdom is all about making a few, highly concentrated bets. But this suggests a broader, more systematic approach to YC investing could also be a viable strategy (and likely put you amongst the top returning funds).
LMK if there are other models or approaches worth considering too.
Disclaimer: don’t use these models as investment advice.
Popularity: 1 points | 0 comments
URL: https://github.com/ryanwith/organize_files_for_claude
Author: ryanwaldorf
Description:
Popularity: 1 points | 1 comments
Author: yungtriggz
Description: Hey HN, we recently launched Remy, an AI agent designed to take the pain out of video search, and wanted to give the HN community a technical deep dive on how it works under the hood.
The Problem: There’s a ton of valuable content on the internet, but finding the “best parts” of long videos is frustratingly inefficient. Current video search methods haven’t evolved much since the early days of YouTube and aren’t designed for today’s massive volume and variety of information. Instead, we’re left scrubbing through long videos or, worse, missing valuable content entirely due to decision paralysis. Remy’s goal is to offer a smarter way to surface exactly what you’re looking for, in a fraction of the time.
The Solution: In less than a minute, Remy delivers custom playlists that isolate the best video moments from across the internet. It finds, clips, and organises segments to get you exactly what you need — without the endless search and skip game.
How it works:
Remy is powered by a stack of LLMs (and some non-LLM magic) designed for fast, focused video search and transcript processing. Here’s the pipeline:
1. Request Analysis When you send a message, the system decides whether to provide an immediate response, search the web, or start assembling video clips. If video is the best option, Remy generates a playlist outline with concise titles and detailed descriptions tailored to your query. For temporal queries, Remy automatically adjusts context to absolute dates (e.g., “tomorrow’s NBA games” → “November 15th NBA Games”).
2. Content Retrieval Using a ‘wide net’ approach, Remy generates a large set of targeted queries and searches the web for videos that could match your needs.
3. Multi-Step Filtration & Processing Each video goes through:
- Transcript Pull: Extracts YouTube transcripts.
- Non-LLM Filter: Filters out low-quality or AI-generated content based on YouTube stats, creator channels, release date, and other parameters.
- Punctuation Restoration (BERT): Restores punctuation for better LLM comprehension.
- Clipping: Uses an LLM to locate and clip the most relevant segments of the transcript based on your request.
- Evaluation: Uses an LLM to score clips on relevance, completeness, and interest level. Only the best make it to the final playlist.
4. Reordering & Overview A final LLM gets fed the top 16 clips for each topic, filters them down to the best 4 (at most), and arranges them for maximum uniqueness. Each section gets a brief overview, with added context pulled and cited from the web to give you additional context.
The result? A playlist tailored to your exact query, delivered in under a minute, without unnecessary noise.
We’d love to hear your thoughts and feedback. If there’s something you’re curious to try or any edge cases that it’s not handling, let us know. And if you come across any bad clips, please use the report button to flag them! Thanks
Popularity: 3 points | 3 comments
URL: https://www.snap-summary.com/home
Author: harrycarson
Description: Hi HN,
I built SnapSummary to quickly summarise YouTube videos. It generates video summaries, timestamped breakdowns, allows users to ask questions about video and more!
Try it here: https://www.snap-summary.com/home (Google sign-in required, Free tier available).
Why?: I wanted a faster, more efficient way to extract key points from long educational videos like podcasts and lectures.
Would love your feedback!
Popularity: 1 points | 0 comments
URL: https://promptl.ai
Author: heycesr
Description: Hey HN!
We just launched PromptL: a templating language built to simplify writing complex prompts for LLMs like GPT-4 and Claude.
Why PromptL?
Creating dynamic prompts for LLMs can get tricky, even with standardized APIs that use lists of messages and settings. While these formats are consistent, building complex interactions with custom logic or branching paths can quickly become repetitive and hard to manage as prompts grow.
PromptL steps in to make this simple. It allows you to define and manage LLM conversations in a readable, single-file format, with support for control flow and chaining, while maintaining compatibility with any LLM API.
Key Features
- Role-Based Structure: Define prompts with roles (user, system, assistant) for organized conversations.
- Control Flow: Add logic with if/else and loops for dynamic, responsive prompts.
- Chaining Support: Seamlessly link prompts to build multi-step workflows.
- Reusable Templates: Modularize prompts for easy reuse across projects.
PromptL compiles into a format compatible with any LLM API, making integration straightforward.
We created PromptL to make prompt engineering accessible to everyone, not just technical users. It offers a readable, high-level syntax for defining prompts, so you can build complex conversations without wrestling with JSON or extra code. With PromptL, even non-technical users can create advanced prompt flows, while developers benefit from reusable templates and a simple integration process.
We’d love to hear your thoughts!
Popularity: 7 points | 4 comments
URL: https://unin.io
Author: jason1610
Description:
Popularity: 1 points | 0 comments
URL: https://www.youtube.com/watch?v=f2eKHr69v0Y
Author: WolfOliver
Description:
Popularity: 1 points | 0 comments
Author: marvinified
Description: Hello HN!
I wanted to share what I’ve been building for a few months now.
Playrun https://playrun.dev
Playrun is an AI-first QA platform. As an engineering team, ensuring nothing break on every production release either requires the team to manually QA or setup CI pipelines and test automations that are painful to maintain. - I was not happy with these option.
So I built Playrun - Our approach was to build a multi-agent AI, that maps out your application flows like a user, generate test for each flow and allow you to setup a schedule to run generated tests.
I’ve personally been using this on a small team of 4 at my 9-5 for about 2 month now and it has significantly reduces how much regressions and bugs gets into production.
We’ll love to hear your thoughts especially small teams like us who need to move fast without breaking stuff. Thank you.
Popularity: 1 points | 0 comments
URL: #
Author: aponomy
Description: Hey HN! I’ve spent the past year full-time building Knowing, a tool for interacting with LLMs directly inside hierarchical structures instead of the usual prompt-response format. The idea started because I realized how much more intuitive it felt to build concept hierarchies continuously—no more endless copy-pasting or wondering how everything connects.
The journey’s been a struggle. While I see huge potential in structuring AI interactions this way (writing books fast, planning projects, or organizing ideas), it’s been hard to pin down clear use cases in the market. I’m also working in near isolation on a small island in the Baltic Sea (born and raised here!), so any connections or feedback on direction would be a game-changer.
I’d love feedback on a few things:
- Does using structured hierarchies to interact with LLMs add value?
- What use cases could resonate in the market?
- Anyone here interested in helping me connect with others to bring this further?
Try it here: https://knowing.app (100 free credits with sign-up)
Docs: https://docs.knowing.app
Demo video: https://knowing.se
Thanks for any feedback or advice!
Popularity: 5 points | 2 comments
URL: https://github.com/Alessandro-Salerno/tarman
Author: alevm1710
Description: Hey there! A few weeks ago I found myself having to install the Discord client through a tar.gz archive. Nothing outrageous of course, or so I thought: Discord updates are mandatory and the client refuses to launch if you don’t upgrade, which in this case means re-downloading, re-unpacking, and setting up the desktop links all over again every 2-3 weeks. There a re solutions to this problem of course, namely the AUR, Flatpak, Snap, etc. but these, in my opinion, are just band-aids: the official package is only available as tar.gz and besides, there’s tons of software that’s too obscure to be in these formats (either because the developers don’t care, don’t know how, or can’t package it in a dozen different formats).
What I’ve made may not be the best solution, but in my opinion it may be about as good as it gets for installing these programs. Tarman can install packages from local archives, remote URLs, and using recipes (manifests) from repositories. Installed packages are stored in a known location (~/.tarman/pkgs on Linux) and the program is capable of automatically adding them to PATH (though for this, tarman itself must be in PATH) and/or to the user’s applications, it does this by inferring (or asking the user for) the information it needs, thus removing the need for packages to include metadata specific to this PM (though this is supported). Once installed, packages can be updated directly using tarman with a single command. Tarman should also be very easy to port to other platforms and formats: I’ve written a common POSIX implementation that should thsu cover all compliant Unix-like systems, but more (such as Win32) can be added, and the same goes for archive formats: plugins can be written and installed to add support for these files and also change the download handler used by tarman.
Of course, this post is not meant to be marketing. I want to be very clear that this project is still in early development and is mostly for personal use. It is still missing quite a few features (e.g., packages may still leave artifacts/side-effects on your system even when you remove them since they may write to other directories - I’m working on a possible solution though), probably has a slew of bugs, and may be disliked by those who exclusively rely on established PMs on important systems from which they want and rightfully need stability.
If you’re interested/curious, you can take a look at the project’s GitHub page via this post’s URL. Install commands for Linux and macOS are provided in the README. Comments, constructive criticism, issues, requests, questions are of course welcome. Cheers.
Popularity: 1 points | 0 comments
URL: https://remoteinspain.com
Author: methkal90
Description: I was thinking the other days; what’s the biggest and the easiest market to enter and start winning money directly and found out, It’s the job market. There way too much money in this market and choosing the correct niche in it might help you start a simple business that wins ton of money.
That’s how I came up with my project RemoteInSpain. There are tons of people who wants to work in remote and in spain is not an exception. So I created my website after some research and I have already 100 visits per day and the website is just 2 days old.
Talk about a jackpot
Popularity: 4 points | 3 comments
URL: https://fishsinger.alnwlsn.com/
Author: alnwlsn
Description: This one is just for fun.
A couple years back I put together this tool to help me make synced up open/close mouth animations. End goal was always to “put it on the internet” like so many other things I remember when I was a bit younger. You can’t drop this into a livestream these days without getting banned because people can’t play nice, so I made it to record and distribute videos privately.
I only code like this as a hobby, so it is a bit rough (I am a hardware guy), but these days you can get pretty far without knowing a lot. Enjoy
Popularity: 3 points | 0 comments
URL: https://makeread.me/
Author: ShaanCoding
Description: Hey HN!
A few months back, I updated one of my old open-source projects, makeread.me.
I’ve always enjoyed working on short, quick open-source or personal projects, and one thing I found really annoying was writing README files. I tried using tools like readme.so, but I still found myself doing a lot of manual text editing, and the result was often inconsistent across different projects.
So, I built makeread.me — a flexible, template-based README generator.
It uses Nunjucks and a strongly-typed schema on the backend, making it super easy to extend and customize. If you want to add your own templates, you can simply raise a PR and update the typings or fork it for your own uses.
Would love to hear any feedback or suggestions!
Popularity: 1 points | 0 comments
URL: https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v1.0.0-victorialogs
Author: valyala
Description: Hi, HN friends!
I’m pleased to announce production-ready release of VictoriaLogs - open source database for logs! It has the following features:
- It is easy to manage - just a single small executable without external dependencies, which just works. There is no need in complex configuration and tuning - it works optimally with any logs - structured and/or unstructured (aka plaintext logs) - out of the box.
- It accepts logs from all the popular log collectors and shippers - see https://docs.victoriametrics.com/victorialogs/data-ingestion… , so you can try it alongside the existing database for logs, without significant changes in your setup.
- It needs up to 30x less RAM than Elasticsearch for the same amounts of logs, while providing the same performance for full-text search.
- It needs up to 15x less disk space for storing the ingested logs than Elasticsearch.
- It provides easy yet powerful and fast query language for typical log analysis tasks, including analytical tasks - LogsQL. See https://docs.victoriametrics.com/victorialogs/logsql/
- It is optimized for storing and querying wide events (aka logs with hundreds of high-cardinality fields).
- It provides an excellent integration with traditional command-line tools such as grep, awk, less, tail, etc. See https://docs.victoriametrics.com/victorialogs/querying/#comm…
- It provides tools for generating metrics and alerts from the ingested logs - see https://docs.victoriametrics.com/victorialogs/vmalert/
- It is optimized for efficient storing and querying large volumes of logs (e.g. tens of terabytes and more).
Try VictoriaLogs alongside your existing solution and then decide whether it is worth switching to VictoriaLogs!
Popularity: 2 points | 0 comments
URL: https://github.com/sphinxid/comment-hash
Author: sphinxid
Description: I’m experimenting with a WordPress plugin to fight comment spam in a different way, it uses a simple proof-of-work system, like blockchain but very basic.
How it works:
- When visitors write comments, the browser must solve a small math puzzle
It’s still in very early stages and I would like to learn more comments and feedback from you guys. Thank you.
Popularity: 1 points | 0 comments
URL: https://bucket.co/
Author: makwarth
Description: Howdy HN!
We’re a team of 7 that have worked on Bucket for the past 2 years (Seed funded).
How are we different than other feature flagging tools?
* Purpose-built: Bucket is built for the B2B use case, which makes everything simpler for you.
* Companies over users: In B2B, you mostly target customer accounts, not individual users.
* Quality and craft: We’re sweating the details so you can focus on releasing better features.
* Product engineering: We’ve made it easy to get feedback and adoption metrics on new releases.
* Entitlements: Easily manage feature access based on customer SaaS subscription.
Would love to get your feedback on the product!
Popularity: 8 points | 1 comments
URL: https://github.com/sashokbg/mkdocs-gherkin-plugin
Author: sashokbg
Description: Hello, I have developed a small mkdocs plugin that will parse the results of your Gherkin / Cucumber tests and will inject the results back into your documentation.
This is very useful since Cucumber supports markdown now and we can easily create a true “living documentation” using mkdocs and cucumber.
Comments and feedback are very welcome !
Popularity: 1 points | 0 comments
Author: alextttty
Description:
Popularity: 1 points | 0 comments
URL: https://chatwise.app
Author: 0x142857
Description:
Popularity: 2 points | 0 comments
URL: https://chromewebstore.google.com/detail/mailchecker-for-outlook/bekkkmmpbgeiihjklkcfaadbaeemgjni
Author: radjaxx
Description: Hi guys, I just released small chrome extension to web store called “MailChecker for Outlook™”.
This browser extension brings you the power of mail using an icon in the browser. You can quickly access your Outlook work, school or personal account, your Outlook.com or Hotmail.com account without switching to another tab or app.
Please guys would you test it, comment it or give a feedback?
Website: https://www.mailchecker-for-outlook.com/
Popularity: 3 points | 0 comments
Author: falak-sher
Description:
Popularity: 1 points | 0 comments
Author: nmaties
Description: Hi, I recently launched Gapsly, a SaaS tool aimed at helping businesses identify and bridge operational gaps in their processes and increase their efficiency in their processes. After months of hard work, it’s live and (mostly) bug-free, but here’s the thing: I’m having a tough time attracting traffic and converting visitors into customers. Struggling at the moment with backlinks too.
I’ve tried:
- SEO and optimizing the landing page - Posting in forums and relevant communities - Going over the backlinks directories and posting it there in the hope of a higher DA (but that might come in time)
Despite these efforts, user engagement and conversions are still really low. I’d love to hear from anyone who has faced (and hopefully overcome) similar issues. Any strategies, marketing channels, or growth hacks you’d recommend? If you’ve done a SaaS launch, what worked for you?
Open to any constructive feedback on the site, messaging, or general approach!
Find the tool here: https://gapsly.com
Thanks in advance for your help, Nicolae
Popularity: 2 points | 0 comments
Author: wheresdoddo_dev
Description: Hey HN! Like many of you, I absolutely hate writing HTML emails. Nested tables everywhere, client compatibility issues, and that feeling when you need to modify something in those deeply nested elements… pure pain.
While there are plenty of drag-n-drop email builders out there, I still found myself diving into code for custom stuff. That’s when I discovered MJML - it’s amazing at handling all the tedious HTML email stuff and makes the code actually maintainable.
Then I thought - what if I could combine MJML with AI to just… look at a design and write the code for me? After a few months of development, I built [paste2email.com](http://paste2email.com).
How it works:
1. Paste your email design image (or just describe what you want in plain text)
2. The latest Claude-3.5-Sonnet(2024-10-22) model generates MJML code for you
3. Use the built-in variable system to easily swap content
4. See live preview(mobile & desktop) as MJML compiles to HTML
5. Export everything with Handlebars support - just plug in your variables and you’re done
6. Connect it to your email service (like nodemailer) and ship it!
\To get you started, you’ll get 10 free credits. That’s enough to generate 3 emails and tweak one of them, or go for 2 emails with 4 rounds of refinements.
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I built this specifically for developers who, like me, hate the tedious parts of HTML email development but need more control than drag-n-drop builders offer.
Would love to hear your feedback! You can try logging in with email to check out an actual email I created using this tool.
Popularity: 1 points | 0 comments
URL: #
Author: mustime
Description: After struggling with constant distractions while working, I built Deep Work Zone, a free Chrome extension with three simple but powerful features:
Deep Work Timer
Distraction Shield
Analytics Dashboard
Would love your feedback! What features would make this more useful for your workflow? https://www.producthunt.com/posts/deep-work-zone
Popularity: 3 points | 1 comments
Author: nicnocquee
Description: An open source project to schedule posts to Bluesky
Popularity: 1 points | 0 comments
URL: https://drive.google.com/file/d/1fiA1I0KDWVdAxcgAo3NXU9Xitile1Zcz/view?usp=sharing
Author: kjain7
Description: We’re working on a way to tackle the complexity of SELinux policies by using graph-based machine learning to automate policy analysis and anomaly detection. SELinux enforces security through strict access controls, but the intricacy of its policies makes it hard to manage and troubleshoot effectively. Our approach represents policies as graphs and uses node embedding (like Node2Vec) to train models for identifying policy violations more efficiently.
SELinux has become widely adopted for security on Linux systems, but misconfigured policies can lead to unauthorized actions and security issues. Our method aims to make it easier for admins to detect and adjust misconfigurations, potentially reducing vulnerability risks. Early results are promising, and we’re excited about the potential to make SELinux management more intuitive.
IEEE ICIR (2024)
- KJ
Popularity: 1 points | 1 comments
URL: https://tailrec.io/myquizzes
Author: hussachai
Description: My Quizzes is a comprehensive Slack-native platform for trivia, tests, and games. You can generate a quiz using generative AI and collaborate with teammates to create it. You have the option to run them interactively like Kahoot! or as traditional quizzes, where participants can take them at their own convenience. We use field-level encryption to protect customer data before saving it to the database and offer the option for customers to use their own encryption key.
Popularity: 1 points | 0 comments
Author: ckrapu
Description: I once taught a course on Bayesian models and I wished I’d had a more visually engaging way to show students how graphical models work. It prompts Claude Sonnet 3.5 with the JSON structure of the model to autoproduce valid PyMC code (most of the time).
Any feedback is welcome!
Popularity: 2 points | 0 comments
URL: https://antiphish.ai/free-tools/is-this-a-scam/database
Author: ngalongc
Description: We think this is helpful because scams are getting more out of hand than ever, so we wanted to build a tool that can help people to identify scams instantly and ALSO creates a large dataset to “train” everyone’s brain on scam detection patterns. After browsing 10-20 scams, anyone can quickly learn what indicators to look for in subtle (or not so subtle) scams.
1. Upload screenshot of anything you think is suspicious 2. GPT-vision goes to work, extract text and analyze the screentho and give you an instant result 3. Each upload adds to a growing public database, letting everyone to see and learn from real-world scam patterns.
Try it out, contribute a recent scam that you’ve received lately, and hopefully this could help more people.
Popularity: 8 points | 4 comments
URL: https://drop.space
Author: woc_zhang
Description: The link in here is different one, it is called DROP, an alternatvie to wetransfer
Popularity: 2 points | 0 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