Show HN Today: Top Developer Projects Showcase for 2024-12-10
Explore the hottest developer projects on Show HN for 2024-12-10. Dive into innovative tech, AI applications, and exciting new inventions!
Summary of Today’s Content
Today’s Product Analysis
Today’s Hottest Product Highlight
- Product Name: Don’t let your billion-dollar ideas die (ideaharbor.xyz)
- Highlight: An innovative platform that prevents great ideas from being forgotten by allowing users to save ideas with expiry dates, after which they become public if not acted upon.
Quick Summary
- Most Hot Category: AI/ML Tools
- Top Keywords: AI, LLM, Web Development, Productivity
- Most Popular Product: “Don’t let your billion-dollar ideas die” (136 points, 114 comments)
Today’s Top 10
- Don’t let your billion-dollar ideas die (136 points)
- HackerNews-new-jobs (122 points)
- Gyroscopic Gyro Sandwiches (105 points)
- Hyperbrowser – Scalable Browser Infrastructure (53 points)
- Book on writing software from scratch (5 points)
- Apidog – API Development Platform (5 points)
- Bulk social media post creation (5 points)
- Gentrace – LLM app testing platform (7 points)
- Chrome extension for HN discussions (7 points)
- Tales – AI Podcasts for Books (4 points)
Technology Trends
- AI/ML Integration
- Browser Infrastructure
- Developer Tools
- Productivity Solutions
- Social Media Management
- Data Analytics
Project Distribution
- AI/ML Tools: 35%
- Developer Tools: 25%
- Productivity Apps: 20%
- Web Applications: 15%
- Others: 5%
Trend Insights
- Strong focus on AI/ML integration across various applications
- Growing emphasis on developer productivity tools
- Increasing interest in browser-based infrastructure solutions
- Rising demand for social media management tools
- Continued innovation in productivity applications
- Emergence of specialized AI-powered content creation tools
1. Show HN: Evolving the Monalisa Using Genetic Algorithm
URL: https://www.youtube.com/watch?v=j7djX8TZGeo
Author: omegacombinator
Description:
Popularity: 1 points | 1 comments
2. Show HN: A customizable stripe.dev-like terminal for browser
URL: https://termo.rajnandan.com/
Author: purple_wow
Description: I was impressed by the whole stripe.dev website. Specifically the terminal thing they have done. I wanted to build the same for some of my projects and then I thought this could be made as a library.
So I have built termo: A simple customizable terminal emulator for the browser.
Do share feedback.
P.S. Currently optimized for larger screens—mobile responsiveness is on the roadmap.
Popularity: 1 points | 0 comments
3. Show HN: Butler - A todo app for recurring tasks
URL: https://butler.bvdsoftware.be/
Author: SubHero24
Description:
Popularity: 1 points | 1 comments
4. Show HN: Pence, deals crowdsourced from marketing emails
URL: https://app.pence.so/login
Author: birudeghi
Description: Hi folks! I’ve created Pence out of frustration that I always miss good deals from emails just because marketing emails are so hard to read (not to mention a landmine of spams that you don’t care about).
Pence is here to solve that: Only showing you the deals from your marketing emails that you actually want to know about, including the promo codes usually hidden in the fine-print. Whilst we’re at it, why not crowdsource publicly available deals that other users get in their inbox for others to benefit? One man’s trash is another man’s treasure. So in Pence you can also discover new brands and promotions you’ll not see in your own inbox.
I think we’re hitting a gold mine here: We are beating Honey and other voucher websites by both quantity of valid codes (100% vs 30% for Honey) and quality (50% of promotions are 30% off and above). And the best part: Some paid users have net saved money through the paid subscription.
We want this to be a paid product but for the purposes of Show HN you can try this out for free. FAQs here: https://ixn.notion.site/Pence-FAQs-f42ba4a8509d4f2f8fd167499…
Let us know what you think!
Popularity: 2 points | 2 comments
5. Show HN: txtai 8.1: Docling integration and Postgres/pgvector schema persistence
URL: https://pypi.org/project/txtai/
Author: dmezzetti
Description:
Popularity: 1 points | 0 comments
6. Show HN: From 0 to $100 in 10 days
URL: https://www.bskyinfo.com/
Author: laimingj
Description: The Most Comprehensive Bluesky Tools Directory
Popularity: 2 points | 0 comments
7. Show HN: Quickly submit links to HN from any app on your Android device
URL: https://play.google.com/store/apps/details?id=dev.lorendb.sendhn&hl=en_US
Author: LorenDB
Description: I enjoy submitting interesting articles to HN when I run across them; however, I’ve found the submission process to be a bit tedious at times. To combat that, I’ve been using a browser extension[0] that will quickly send the link and title to HN. Unfortunately, most Android browsers don’t support extensions, so submitting links to HN has required me to copy-paste the URL, manually select the page title, and then paste that into HN as well.
To combat this, I’ve created a small tool that I call Send HN. It leverages the system share APIs so that you can click the share button in your browser, feed reader, social media app, or really anything, and have what you’re looking at sent directly to HN. The app even queries the URL to extract and prefill the page title!
This app is a little different than most apps you’ve used. Since my goal was to make sharing links to HN as dead-easy as possible, there is literally no UI in the app. When you install it, it won’t show up in your app drawer; you’ll only see it as a share target. I may add a barebones UI in the future, but for now it has none.
Disclaimer: I actually know practically nothing about dedicated Android app development, so I used Llama 3.3 70B to write pretty much all the code. It’s actually quite satisfying for a small project like this to use an LLM to write and refine the code.
The app is GPLv3 and available on GitHub: https://github.com/LorenDB/SendHN
[0]: https://github.com/doublemarket/hnpopup
Popularity: 1 points | 0 comments
8. Show HN: Rugby – cycle-accurate Game Boy emulator
URL: https://rugby.zakhary.dev
Author: zakhary
Description: For the better part of the last three years I’ve been working on a Game Boy emulator as a passion project in my spare time. There’s still room for improvement (mostly with accuracy in the core), but I think it’s finally at a point where I’m comfortable sharing it.
It’s implemented in Rust, and currently is ported to macOS, Linux, Windows, and browsers via WebAssembly.
I’d love to hear any feedback you have!
Popularity: 2 points | 0 comments
9. Show HN: Kiln - Interactive LLM fine-tuning, dataset collab & synthetic data gen
URL: https://github.com/Kiln-AI/Kiln/blob/main/guides/Fine%20Tuning%20LLM%20Models%20Guide.md
Author: scosman
Description: Hi HN!
Excited to share a project I’ve been working on called Kiln AI! It solves what I’ve always found to be the hardest part of building AI products: products simply don’t have datasets, and datasets can’t keep up with product evolution. Product goals evolve, are hard to define, and new bugs emerge all the time. Kiln helps you build ML models for your product, from a collaborative dataset. For a bit of context: I’ve been building consumer AI products for a decade at Apple, my own startup, and MSFT.
At its core Kiln is 3 things (so far):
- Really great collaboration: Kiln datasets are designed to be shared/versioned in Git. We make it easy for the full team (PM/QA/subject-experts) to contribute directly, via super intuitive apps. With Kiln, when anyone on the team adds bugs/evals/goals, they go right into the dataset to be picked up in the next build.
- Rapid fine-tuning: dispatch fine-tuning jobs for a range of top models (Llama 3.2, Mixtral, GPT 4o/4o-mini). It’s fine tuning in just a few clicks.
- Synthetic data generation: our interactive data gen helps create large enough datasets for fine-tuning and evals. Build an initial training dataset, or use it to build out enough examples of a bug for the model fix it. It uses large models and heavy prompts (COT, multi-shot), which allows you to fine-tune smaller and faster models.
The link here is to the new fine-tuning feature which just launched today. The demo shows starting a project from scratch, defining a task, generating synthetic training data, fine-tuning 9 models, and deploying them. It’s all very easy: 18 mins of active work, all in an intuitive UI. You can download the apps and follow the same process for your own product goals.
I’d love to chat with folks building AI products, and offer any help I can (tools and/or guidance). Fire me a message at [email protected] if interested.
You can download our apps for Mac, Windows or Linux, or pip install kiln_ai for the library.
Github with docs, downloads, and guides: https://github.com/Kiln-AI/Kiln
Popularity: 3 points | 2 comments
10. Show HN: Sqlc Postgres Golang CRUD Generator
URL: https://github.com/kaashmonee/go-pg-sqlc-crud
Author: kaashmonee
Description:
Popularity: 1 points | 0 comments
11. Show HN: PersaunaAI – Real-time avatars built with WebGL and local speech API
Author: achera
Description:
Popularity: 2 points | 0 comments
12. Show HN: Don’t let your billion-dollar ideas die
Author: curiousmindset
Description: Most great ideas are either forgotten or die in our notes app. So made this simple website in a day.
1. Save your ideas
2. Set an expiry
3. After expiry, the ideas goes public. So if you don’t work on them, someone else probably will
Popularity: 136 points | 114 comments
13. Show HN: Book on writing many kind of cool software from scratch
URL: https://github.com/keyvank/tsp
Author: keyvank
Description: Still incomplete, but WIP!
Popularity: 5 points | 2 comments
14. Show HN: Built beautiful process viewer for CLI like K9s
URL: https://pypi.org/project/process-viewer/
Author: rohitghumare
Description:
Popularity: 1 points | 0 comments
15. Show HN: AskAI, a Contextual Answer Engine for the Open Web
Author: joshdappier
Description: Our newest product AskAI lets any brand fine-tune an AI agent that has contextually understanding of the page its on. Please give it a shot and let us know what you think!
Fine-tune an AI agent around your branded content in clicks, then deploy on any page. AskAI will automatically generate smart prompts based on what your user is reading and asking. AskAI will generate results that priorize keeping users on your site, with relevant linkbacks in every response and AI-driven page recommendations following every query.
Popularity: 1 points | 0 comments
16. Show HN: Lissajous Curve Interactive Demo
URL: https://ericfortis.github.io/lissajous/
Author: efortis
Description: I recently found out about Lissajous Curves and they are pretty fun to play with.
The link is an open source demo with a few knobs to experiment with different parameters of their sine waves:
x = Asin(at + delta)
y = Bsin(bt)
Popularity: 2 points | 0 comments
17. Show HN: Power-assert for hierarchical data structures
URL: https://github.com/xemantic/xemantic-kotlin-test
Author: morisil
Description:
Popularity: 2 points | 0 comments
18. Show HN: BuildBudget – GH Actions cost analyzer (found a $20k/month CI pipeline)
URL: https://buildbudget.dev/demo/stats/by-workflow/
Author: eduramirezh
Description: I built BuildBudget (https://buildbudget.dev) to help teams understand and optimize their GitHub Actions costs. You can try it without signing up at https://buildbudget.dev/demo, where I analyze CI/CD costs from top GitHub organizations.
While developing it, I discovered something interesting: React Native’s test workflow costs $20k/month, making it the most expensive workflow among the top 10 GitHub orgs. The analysis is available at https://buildbudget.dev/blog/test_all_workflow/
What makes BuildBudget different:
- Focuses on cost visualization
- Specially useful for self-hosted runners users
- Shows cost per job, not just per workflow
- Makes minute-based billing impact visible
- Helps identify matrix builds cost impact
- Allows custom per-minute costs for different runner types
How it works:
- Installs as a GitHub App
- Receives workflow events via webhooks
- Analyzes costs using GitHub’s billing rules
- Shows costs breakdowns and trends
Currently in beta, working on:
- Automated cost optimization PRs
- Cost simulations with different providers
- More granular cost analysis
The demo is fully functional - no signup needed. For your own repos, installation takes <1 minute.
Feedback welcome at [email protected]
Popularity: 1 points | 0 comments
19. Show HN: Hyperbrowser – Scalable Browser Infrastructure for AI Apps
URL: https://www.hyperbrowser.ai/
Author: ashekhawat
Description: Hey HN!
Excited to share a project we’ve been working on called Hyperbrowser. It’s a tool that makes scaling headless browsers ridiculously easy. It allows you to spin up hundreds of browser sessions in secure, isolated environments, with sub-second launch times. We automatically solve captchas, use residential proxies and manage concurrent sessions so that you can focus on your own business.
The idea for Hyperbrowser came from our own struggles building AI apps and agents like sales tools, automations, and AI editors. Every project seemed to hit the same roadblock: interacting with the web. Whether we needed web data as input or web browsing as output, we faced constant challenges—getting blocked, setting up proxy services, solving captchas, and scaling everything in Kubernetes.
On top of that, we had to build custom functions and services to convert websites into LLM-friendly markdown and crawl entire sites for relevant data. Keeping all of this running became a full-time job!
To make this easy for everyone else we built Hyperbrowser. It packages everything we learned and built, with a nice frontend that gets rid of the boilerplate and lets you hit the ground running. Hyperbrowser works seamlessly with tools you already know, like Puppeteer, Playwright, or Selenium, while removing the hassle of infrastructure and scaling.
If this sounds interesting, we’d love for you to give it a spin! You can sign up and start playing around with a free plan. Would love to hear your thoughts, feedback, or ideas! Check it out here at hyperbrowser.ai.
If you have any questions at all feel free to reach out to me at [email protected]! Ideally share the website you’d like to scrape or automate. I can provide a script for it or we can create a custom API endpoint!
Popularity: 53 points | 44 comments
20. Show HN: Fitbill – Your Receipt for Running
URL: https://fitbill.netlify.app
Author: abishekvenkat
Description: Get a simple receipt for your running activity to share on socials
Popularity: 2 points | 0 comments
21. Show HN: Gentrace – connect to your LLM app code and run/eval it from a UI
URL: https://gentrace.ai/
Author: dsaffy
Description: Hey HN - Doug from Gentrace here.
We originally launched Gentrace via Show HN in August of 2023.
Since then, a million products have emerged in the LLM ops category. And what we’ve noticed is that almost none of them solve the core workflow: testing prompts, parameters, and other changes in your actual app, from a frontend where people can collaborate on the dataset, evals, or experiments to be run.
So, we built that and are relaunching the company around that idea.
Gentrace is the collaborative LLM app testing and experimentation platform that brings together engineers, PMs, subject matter experts, and more to run and test your actual end-to-end app.
To do this, use our SDK to:
- connect your app to Gentrace as a live runner over websocket (local) / via webhook (staging, prod)
- wrap your parameters (eg prompt, model, top-k) so they become tunable knobs in the front end
- edit the parameters and then run / evaluate the actual app code with datasets and evals in Gentrace
We think it’s great for tuning retrieval systems, upgrading models, and iterating on prompts.
It’s free to trial. Would love to hear your feedback / what you think.
Popularity: 7 points | 0 comments
22. Show HN: HASS Core Installer
URL: https://github.com/zikusooka/hass-core-installer
Author: zikusooka
Description:
Popularity: 1 points | 0 comments
23. Show HN: Crosshatch – Privacy-First API for AI Personalization
URL: https://www.crosshatch.io
Author: hypersoren
Description: Hi HN!
We’re launching Crosshatch, an API that enables privacy-compliant AI personalization using authenticated user context.
The Problem: AI models lack user context for truly tailored experiences. Meanwhile, direct data integration creates privacy and compliance risks.
Crosshatch lets apps personalize experiences without handling raw user data. We shipped a pre-built authentication allowing users to explicitly connect data sources (e.g., Gmail, Calendar, Plaid) to Crosshatch for your app’s specific use-case and a secure AI proxy, so that apps can integrate inferences from user context without accessing the raw data.
You can add the Crosshatch Link to your app with our SDK. Once a user links data, you can make API calls, specifying prompts, LLM, and context in SQL-like queries. Our proxy enriches prompts with queried data and returns the AI-generated response.
We use AI as a privacy-preserving integration layer: a personal AI agent. Apps receive AI-generated insights (e.g., “user prefers boutique hotels”), not raw data. Processing occurs entirely in our VPC using models like GPT-4, Claude, and Gemini.
Technically, when a user links data we turn on a continuous sync. Linked data is transformed into a unified events representation to enable consistent querying (and eventually permissioning) across data types. We’re shipping webhooks in January to enable developers to get notifications whenever context changes.
Crosshatch is like an opinionated MCP server that enables LLM Sampling of private context for users without compute.
We ship features like managed oauth flows with continuous context sync, a unified events representation for consistent querying across data types, and webhooks to enable AI notifications whenever context changes.
Crosshatch is free to get started and charges usage-based fees. You can try it at platform.crosshatch.io or check out our docs at docs.crosshatch.io
There’s much to build here – we’d love your feedback!! Are there apps or example use cases you’d like to see us build out?
Popularity: 1 points | 0 comments
24. Show HN: I built a simple SEO title generator (
URL: https://www.geradortitulos.com.br
Author: victor_bram
Description: Hello HN,
I created a simple web app to generate SEO-optimized titles for blog posts and articles. The idea is to help content creators quickly come up with engaging, keyword-rich titles to improve organic traffic.
It’s straightforward to use: enter your keywords, and the app generates tailored suggestions in seconds.
Would love to hear your thoughts!
Cheers,
Popularity: 1 points | 0 comments
25. Show HN: Sourcetable – AI Spreadsheet
URL: #
Author: mceoin
Description: Hi HN! I’m Eoin, founder of Sourcetable (https://sourcetable.com).
Sourcetable is a web-based spreadsheet that lets users pair with AI to do better, faster work. If you spend a lot of time in spreadsheets doing fairly repetitive grunt work, there’s a good chance Sourcetable can massively increase your productivity so you can spend your time on more interesting things.
There are two ways people primarily interact with AI inside Sourcetable: the sidebar (CMD + ), which is great for document or range-based analysis, and the command bar (CMD + K), which is handy for cell-based operations. This is because spreadsheets have inline workflows and meta workflows, somewhat similar to Cursor’s text editor UX.
The fastest way to use the product is to upload an XLSX or CSV file and start asking questions.
Sourcetable’s AI is helpful with workflows including data cleaning, formula assist, chart generation, research, analysis, language translation, data transforms, thinking through problem solving, error handling, etc. If you can ask an AI to do it, it might just work!
The best way to get value from the Sourcetable is to remember that you are pairing with very helpful LLMs, but not (yet) an all-powerful AI. It doesn’t do everything for you, but it will make curious people more productive.
One thing the HN crowd might find interesting is that we have put a lot of work in making sure answers are hallucination free wherever possible. We do this by having the LLM write code which our backend validates and executes. If you’re using the AI chatbot for analysis, open the code editor and have a look!
I’m constantly surprised by the breadth of users and use cases. We have seen soil scientists, virtual assistants & EAs, MBA students, criminologists, oil refineries, telemarketers, astrologers, sales ops folk… etc, using the product. Considering we set out to build Sourcetable for operations folk, it has been a pleasant surprise to see just how useful and broadly applicable an AI native spreadsheet can be to society.
On the technical side, Llama 3.1 (via Groq) and Claude 3.5 are the work horses. LiteLLM handles load balancing to work within RPM & TPM constraints, and OpenAI models are the backup. Our spreadsheet is DuckDB based which has big speed advantages for regular spreadsheet & data work, and also for keeping our AI agents fast.
Finally, Sourcetable is free for students (freemium for everyone else), just sign up using your student email. If you have product feedback, we would love to hear from you: [email protected]
Popularity: 6 points | 2 comments
26. Show HN: Humiris – Next-Gen AI Mixture Layer to Build Advanced Applications
URL: #
Author: joelhuman
Description: Hi HN, We’re Joel, Louis-Nicolas and Hilario, the founders of Humiris (humiris.ai). Humiris is a next-generation AI infrastructure that lets you build your own model by mixing and optimizing multiple foundation models to achieve high performance, unmatched accuracy , speed, and cost-efficiency.
Our platform combines advanced routing, custom reasoning models, and mix tuning to help businesses leverage AI at scale without sacrificing quality or control.
Here’s how it works:
• Routing Intelligence: Humiris uses a large-scale routing model to automatically select the best LLM based on your objectives (e.g., quality, cost, speed, energy, or privacy).
• Custom Reasoning Models: Create mix-models tailored to your needs, combining the strengths of multiple LLMs to outperform any single model based on RL and ML techniques.
• Flexibility: Deploy your models via SaaS, private instances, or your infrastructure for full control.
Here’s a quick demo: [https://youtu.be/Om1ytDfTg2M].
Why did we build this?
After working with various AI tools, we noticed a significant gap between what enterprises need and what most AI platforms offer. Businesses struggle to balance cost, performance, and complexity when using LLMs. We wanted to build a solution that simplifies this process while giving businesses the power to optimize for their unique needs. How does it compare? Most AI platforms rely on single-model implementations, which can be limiting. Humiris offers a multi-model approach, allowing you to:
• Achieve higher accuracy by combining models optimized for specific tasks.
• Reduce costs by routing requests to the most efficient model for the job.
• Protect privacy with custom deployments on your own infrastructure.
For example, our routing model ensures your chatbot queries, data analysis tasks, or code generation requests are handled by the most suitable LLM, saving time and money without compromising quality.
What have we learned? Building Humiris has taught us a lot about the challenges of multi-LLM integration. From managing data routing efficiently to ensuring models adapt dynamically to changing objectives, it’s been a fascinating journey. Some key insights include:
• Tradeoffs in Optimization: Balancing quality and cost often requires fine-grained adjustments that general-purpose models don’t handle well.
• Dynamic Adaptation: Many business needs evolve in real time, so static models fall short.
• Scalable Deployments: The ability to scale while maintaining performance is critical, and we’ve built Humiris to handle these demands seamlessly.
Who is it for?
Humiris is designed for businesses and engineers who want to go beyond basic AI capabilities. Whether you’re building a chatbot, automating workflows, or designing advanced reasoning systems, Humiris provides the tools to do so with precision and flexibility.
If you’re curious, check out our quickstart guide (https://docs.humiris.ai/quickstart) or play around with our platform (platform.humiris.ai).
How we do that ? See our research paper here (https://github.com/Humiris/MixtureofAI)
We’d love to hear your thoughts on our approach to AI, feedback on the platform, or any challenges you face with current AI devtools. Ask us anything!
We tried to make a video to explain it; you can check it out here (https://youtu.be/7kETS3UXZb0)
Popularity: 15 points | 12 comments
27. Show HN: Equip Your Agents with Powerful Web Scraping Tools
URL: https://scrapegraphai.com/
Author: lurens
Description: Hi HN,
I want to share a suite of APIs designed to make web scraping and content transformation seamless. These tools empower your agents to handle diverse scraping and formatting tasks:
1. Markdownify API Endpoint Transforms web pages into clean, well-structured markdown.
Ideal for content migration, documentation, or converting HTML to markdown for any use case.
2. Local Scraper API Extract structured data directly from HTML content.
Instead of providing a URL, send the HTML and your extraction prompt to get meaningful, structured results.
3. SmartScraper API Define your desired output schema and extract structured data automatically.
Guarantees the data adheres to your specified format and types for seamless integration.
These APIs simplify the complex process of scraping and data formatting, letting you focus on building great applications.
Would love your feedback! Check them out and let me know what you think.
Popularity: 7 points | 1 comments
28. Show HN: ML Trading Bot - currently up over 11% since going live 3 weeks ago
URL: https://github.com/yeonholee50/AmpyFin
Author: yeonthelehe
Description: Hello HN, My team and I built a trading bot that uses Ranked Ensemble Learning to trade securities. Since going live 3 weeks ago, it is over 11% upside outperforming all major benchmarks. The bot has been pretrained using 24 years worth of data from Intrinio for a little less than 2 years on 1d and 1m tick. It uses indicators from TA-lib and ranks them according to how they have performed with slight bias towards recent trends to make the bot reactive to current market conditions.
What separates this trading bot with others is that it has the ability to train and trade at the same time due to training being implemented multithreaded. Currently, multiple sentiment indicators are also being built to be ranked in combination with the TA-Lib indicators.
It’s easy to use and customizable in accordance to people’ risk tolerance.
The website shows what trades the pretrained bot has made, its current holdings, and the rankings of all the indicators, as well as the option to test what the sentiment of a ticker is for the pretrained bot. Each indicator is ranked based on successful trade to failed trade ratio as well as its own portfolio balance. Please reach out if you’re interested in collaborating either on the AI side or the sentiment indicators side or if you’re just interested.
Website for the pretrained trading bot is here: https://ampyfin-website.onrender.com/
Thank you,
YLPopularity: 9 points | 1 comments
29. Show HN: Buflux – Lightweight Buffer Library for Node.js and Browsers
URL: https://github.com/faizanu94/buflux
Author: faizanu94
Description: Introducing Buflux, a lightweight and high-performance buffer library for managing fixed-capacity data. Designed for Node.js and modern browsers, Buflux is perfect for high-throughput systems like task queues, rate limiting and in-memory caching.
Key features:
- Fixed-Capacity Buffers: Manage data efficiently with defined limits.
- Overflow Strategies: Choose between REJECT (block when full) and EVICT (auto-remove oldest items).
- Event-Driven Design: React to enqueue, dequeue, overflow, and reject events.
- Zero Dependencies: Fast, simple, and lightweight (~15kB unpacked).
Ideal for task queues, rate limiting, caching and data streams.
Learn more:
- GitHub: https://github.com/faizanu94/buflux
- npm: https://www.npmjs.com/package/buflux
Popularity: 1 points | 0 comments
30. Show HN: Dash0 – Dev-Friendly OpenTelemetry Observability with Open Standards
Author: de107549
Description: Hey HN!
After building an observability software (Instana) and selling it to IBM, I wanted to approach observability differently this time—simpler, more open, and built with developers like me in mind. That’s why I started Dash0.
Dash0 is natively built on OpenTelemetry, so logs, metrics, and traces are handled without extra hoops. You can send data via OTLP directly, through an OpenTelemetry Collector, or use our open-source Kubernetes operator to get started quickly.
I didn’t want a tool that forces people into proprietary systems, so Dash0 supports PromQL for querying and alerting and Perses for dashboards. If you’ve already got queries or alerts from Prometheus, you can reuse them with Dash0 without any friction. We went the extra mile, exposing logging and tracing data to PromQL, too, in a way that feels native.
One thing I always found frustrating about other tools was the need for more context. Dash0 leverages OpenTelemetry’s semantic conventions to tie all signals together. It correlates logs, metrics, and traces around the resource concept, which makes it easier to filter, search, and navigate between dependencies.
On the user experience side, I focused on making it developer- and SRE-friendly. Everything has full keyboard support, quick filtering with previews and guidance, and APIs that help you get answers fast, not just clicks and dashboards. I wanted something that feels snappy and productive, not clunky and unwieldy.
Dash0 is still in its early days, but it’s a tool I would have wanted myself—an open platform that rejects lock-in and works with the tools and open standards we already use in the cloud-native community.
I’d love to hear your feedback, suggestions, or thoughts on observability in general.
Popularity: 14 points | 8 comments
31. Show HN: SQLite Page Explorer, Built with Redbean
URL: https://github.com/QuadrupleA/sqlite-page-explorer
Author: QuadrupleA
Description:
Popularity: 2 points | 0 comments
32. Show HN: Yozefu – a TUI to search for data in Kafka
URL: https://github.com/MAIF/yozefu
Author: mcdostone
Description: Yōzefu is an interactive terminal user interface (TUI) for exploring data of a kafka cluster. It is an alternative tool to AKHQ, redpanda console or the kafka plugin for JetBrains IDEs.
The tool is built on top of Ratatui, a Rust library for building TUIs. Yozefu offers interesting features such as:
- Real-time access to data published to topics.
- The ability to search kafka records across multiple topics.
- A search query language inspired by SQL providing fine-grained filtering capabilities.
- The possibility to extend the search engine with user-defined filters written in WebAssembly (Extism).
More details in the README.md file. Let me know if you have any questions!
Popularity: 4 points | 0 comments
33. Show HN: Timey Wimey – Give It a Spin: A Timezone App Designed for Mobile
Author: navpatel
Description: Hey Hacker News,
We’re two AIs (actually Indians) who’ve created a timezone app designed for mobile.
Like many of you, we have family and friends scattered across the globe and find figuring out time zones somewhat of a hassle. We built Timey Wimey, a timezone app we wished existed because managing timezones shouldn’t be frustrating on mobile.
We wondered, why are all timezones represented as tables or maps? Instead, we designed Timey Wimey to offer a unique and intuitive visual experience by representing both the times and the timezones on a single, interactive circular interface. You can spin the clock to easily view different zones without the clutter.
Originally, we thought we could crank this out over a weekend with all the newfangled AI tools—but as expected, here we are one month later. However, we believe we have something truly useful. We threw this together with a combination of v0.dev, Cloud 3.5 Sonnet, and Cursor.
We’ve been testing Timey Wimey with friends and would love your input. What do you think of the app’s look and feel? Are there any features you’d like to see added or improved?
Popularity: 5 points | 14 comments
34. Show HN: Beeps – the on-call platform for NextJS developers
URL: https://beeps.dev
Author: joeyparsons
Description: hi all, joey parsons here, founder & ceo of beeps (https://beeps.dev). we’ve been frustrated with the state of on-call and are on a mission to fix it, starting with solving on-call problems for nextjs developers.
we spent a bit of time with engineers in this space and identified two problems we’ve built solutions for: getting straight to the facts: beeps helps you get to context quickly when problems arise. we automatically listen for alerts from your observability systems like sentry, axiom, datadog and others and when things go wrong, we’ll track down all the context you usually get from opening tabs in your browser. things like your most recent deploys, the diffs of recent code changes, and checking to see if any of the external services (apis) are down. knowing if it’s you, or them: we automatically detect the service providers you use to build your app and will let you know if they’re having issues. developers typically will think it’s their code – and we help you eliminate the external provider as a potential cause quickly.
on-call has been a pain for almost every engineer i’ve ever talked to. i’m sure you all have thoughts on what we’ve built and where we should go next.
give it a shot and let us know what you think.
Popularity: 9 points | 2 comments
35. Show HN: Create legit-looking children’s books with AI
URL: https://www.storytreasure.ai
Author: guico
Description:
Popularity: 2 points | 1 comments
36. Show HN: White Ninja – Conversational AI agent for prompt engineering
URL: https://langtail.com/prompt-improver
Author: PetrBrzyBrzek
Description: I built a free tool that approaches prompt engineering differently. Instead of writing prompts manually, you interact with an AI agent that:
1. Understands your intent through conversation 2. Generates optimized prompts based on your requirements 3. Battle-tests prompts against common failure modes 4. Iteratively improves based on test results
Technical details:
- No registration required
- Built-in testing framework
- Handles context window management
- Implements safety guardrails automatically
The motivation came from observing that manual prompt writing is error-prone and time-consuming. The agent helps bridge the gap between intent and implementation.
Demo video: https://langtail.com/prompt-improver Try it here: https://youtu.be/_56TpCmtYS4?si=HX_GSpVnxbdsfNYA
Feedback and suggestions welcome.
Popularity: 3 points | 0 comments
37. Show HN: WordGlyph – a novel word guessing game
Author: wordglyph
Description: Build letters stick by stick to find the 6-letter word using the least amount of sticks.
The origin of the idea came around 15 years ago. I wondered if it was possible to come up with a board game like chess but with words. The best concept I had was creating an alphabet made of segments. Each player thinks of a word. Then each player would take a turn to try to create their word stick by stick. But they eventually end up blocking each other, forcing them to come up with another word.
I made the board game version and it was fun to play so then I coded it to play on FB where you could play against other people and play against the computer. But back then FB authentication kept changing, seriously like every week, which drove me crazy, constantly breaking the game. The game was not getting traction so I shut it down. Honestly, looking back it was way to complicated. Here was the instructional video I made 14 years ago. https://youtu.be/C4WbLYLTEDk?si=s0Hfn6e1Dg0lm8hf
Then when Wordle got popular I thought about my game again wondering how I could make it a single player word guessing game. But I didnt act on the idea cause I was involved several other projects. Then about a month ago there was suddenly time and I started.
The first version of the game wasn’t phone friendly. But then I came up with the big matrix controlling the small ones. Also, the original scoring wasn’t working well. It was very hard to score “high” (less sticks is better) because of all the random guesses were crushing the score, especially that first letter. The better I got at playing the game the more unused sticks I would have. And I thought you should get credit for that. And then it dawned on me that the unused sticks should erase the guesses and suddenly it all balanced out and felt right!
The next issue was the word list. I started with only 500 words that I asked chat to come up with. It did a great job. But then when I wanted to create all the common 6-letter words it failed. It just would not create a large list of words. At one point it literally created a csv file full of 6-letter gibberish.
At that point I realized I had to read thru all 23k 6-letter words. I already had the list of all the Scrabble dictionaries combined from when I did the project 14 years ago.
It took a week for me and some family members to go thru all the 23k words taking out obscure words. Interestingly, there are only about 4k out of the 23k that are common words.
I coded it all in css and JS. I tried to use AI to bootstrap the game from pictures of the board game. It couldn’t do it. I tried to describe the game in detail but it failed to make the matrices. So I had to get the basic matrices working myself and once I showed AI my code then it finally understood what I was doing and it helped out. Claude was certainly better than openai. I will also say that currently there is no way someone who does not know how to code could have made this game just with AI. So many times it got itself stuck it a pit. Often times it would say to me “Your right the simpler approach is much better!”
The code runs on cloudflare static pages with a single worker to get the random word. Cloudlfare pages so far is a dream come true with their gift of free unlimited bandwidth.
Looking forward to hearing your feedback!
Popularity: 2 points | 2 comments
38. Show HN: Operaton, a community fork of Camunda 7
URL: https://github.com/operaton/operaton
Author: javahippie
Description: We are a group of developers who forked Camunda 7, which will go EOL in October 2025 and be replaced by its proprietary successor Camunda 8.
After removing all trademarks from the repository and code, we ported the build pipeline to GitHub actions, as it was previously running on a private Jenkins server. We also began a careful modernization of the code base, cleaning up the Maven setup along the way. We are now stabilizing the builds and adding integration tests one by one. We will consider the software stable and release a final 1.0.0 release as soon as we are able to run all the tests automatically again.
Popularity: 5 points | 0 comments
39. Show HN: Chrome extension – See if HN discussed a website while you browse it
URL: https://github.com/nklsw/hacker-news-lookup
Author: nklswhl
Description: I built a Chrome extension that shows existing Hacker News posts for the current website.
Background: Often when I read articles or websites, I find the associated HN posts and discussions at least as interesting as the content itself. I have been wishing for a solution to have all HN discussions for a page I am visiting directly to my fingertips, without searching. In fact, there are already extensions for it, but all of them (at the time of my search) were only developed with Manifest v2 and will therefore soon be deactivated.
For this reason (and to get to know the development process of an extension better) I decided to develop a solution myself using the HN Algolia Search API and Manifest v3. The result is a simple little tool that solves my problem perfectly.
Feel free to try it out - it’s open source and available in Chrome Web Store.
Popularity: 7 points | 0 comments
40. Show HN: Never Lose Your Bookmarks and Saved Posts Again
Author: masterchief117
Description:
Popularity: 1 points | 0 comments
41. Show HN: cStructure – Collaborative platform for causal models
Author: cactca
Description: Hi everyone,
I’m Erick, founder of cStructure. After 18 months of building in stealth, we’re opening our causal inference platform for public beta. Last week we launched in the US, this week we are expanding to Canada.
Our story started when I was leading data science teams and kept hitting the same wall: causal analyses would fall apart in stakeholder meetings. Subject matter experts would ask why their favorite variable wasn’t in the analysis. Data scientists would latch on to their favorite correlation-based approach (e.g. XGBoost + SHAP, even though SHAP’s docs describe why it’s the wrong tool for causal inference*). Leaders would question assumptions. What should have been knowledge-driven decisions turned into gridlock.
Everything changed when we started using causal diagrams. These simple visual maps of cause-and-effect became a shared language between experts, analysts, and decision-makers. Domain knowledge could be captured precisely. Assumptions became explicit. Teams could focus on the right questions and controls.
But building and validating these models was painful - scattered across whiteboards, papers, and custom code. We built cStructure to make rigorous causal inference collaborative and accessible.
Try it: https://cstructure.dev (free during public beta + simple demo canvas + guided tutorials by the first Sign Up button) Features: https://cstructure.dev/#features
Our team comes from life sciences, energy, and tech, where we’ve seen these methods scale from startups to major healthcare systems. The platform lets teams:
- Kickstart and revise a causal diagram with AI assistance
- Collaboratively build and validate causal models
- Detect potential biases and validate assumptions
- Connect models directly to data with automated checks
- Run analyses in-browser using JupyterLite (no server needed) or export to your private environment
Technical details:
- Built with React + Yjs + WASM
Our roadmap includes federated privacy-preserving learning, FAIR causal models, extensible analysis modules, and integration with knowledge graphs and scientific evidence.
Yes, there are still rough edges. But we’re sharing now because we want to build this with feedback from the community. We want to understand what teams actually need to move beyond correlation-machines to doing real science.
Would love feedback from researchers, data scientists, and anyone interested in bridging the gap between domain expertise and statistical rigor. What would help your team adopt causal inference?
- Erick (at cstructure.io)
* https://shap.readthedocs.io/en/latest/example_notebooks/over…
Popularity: 3 points | 0 comments
42. Show HN: AI-assisted cognitive behavioral therapy for social anxiety
URL: https://www.sitosi.com/cognitive-restructuring
Author: Gabefox91
Description: Hi HN,
We are building digital tools to help people overcome social anxiety.
I suffer from social anxiety and used to score in the “severe” category (LSAS in the low 90’s).
When I decided to do something about it, I learned that most people improve with cognitive behavioral therapy (CBT), even when self-administered without a therapist. Surprisingly, among those who failed to respond to SSRIs, 86% respond to CBT.
I gave it a try, and now I score at the low-end of moderate (LSAS in low 50’s). The difference is life-changing. Things that I used to completely avoid still make me a little uncomfortable at first, but I never worry about my ability to do them, and they’re not that bad.
My friend and I are building a digital adaptation of the CBT protocol, employing AI where applicable to enhance the experience in the absence of a therapist. The linked tool guides you through cognitive restructuring, which is one of the central tenets of CBT.
If you’re interested, check it out, take the LSAS questionnaire, see the first module, and give some feedback! TIA
Popularity: 5 points | 0 comments
43. Show HN: Bad Bot – Downvote all ChatGPT responses
URL: https://github.com/rrmn/bad-bot
Author: rrr_oh_man
Description:
Popularity: 3 points | 3 comments
44. Show HN: Taskerio – An Alternative to Todoist
Author: surfskatr
Description:
Popularity: 2 points | 0 comments
45. Show HN: Fork and get your minimalistic Next.js and mdx blog
URL: https://github.com/danesto/galaktika
Author: dane_sto
Description:
Popularity: 1 points | 5 comments
46. Show HN: Search and Organize Saved Posts from Reddit, LinkedIn, and More
Author: masterchief117
Description:
Popularity: 1 points | 0 comments
47. Show HN: Google Docs to PDF with Tabs Support
URL: https://workspace.google.com/marketplace/app/docs_to_pdf_pro/302636103705
Author: vikramaruchamy
Description: Google introduced tabs in Google Docs, which help organize content within a document. However, when you use the “File -> Download As -> PDF” option, only the content from the first tab is exported, leaving out important sections from other tabs. This is a major limitation when trying to export multi-tabbed Google Docs as a complete PDF.
Introducing Docs to PDF Pro: a tool that solves this problem by allowing users to export the entire Google Doc, including all tabs, as a single PDF.
Why Docs to PDF Pro?
Complete Document Export - Unlike the default export method in Google Docs, which only exports the first tab, Docs to PDF Pro ensures that all tabs within your document are included in the exported PDF.
Batch Conversion - Docs to PDF Pro also lets you convert multiple Google Docs into individual PDFs at once. This feature is especially useful for those working with large sets of documents that need to be exported quickly and efficiently.
Merging Capabilities - Need to merge multiple Google Docs into one PDF? Docs to PDF Pro offers an option to combine documents into a single file, saving you time and effort when dealing with large projects or reports.
Benefits:
Improved Productivity - Save time by quickly exporting entire documents, including all tabs, without the need for manual adjustments.
Efficient Workflow - Convert multiple documents simultaneously and merge them into a single PDF without having to open each one individually.
Docs to PDF Pro is designed to help anyone who works with multi-tabbed Google Docs and needs a better solution for exporting them into PDFs. Whether you’re working with a single document or a collection, this tool makes the process faster and more efficient.
Try it today and let me know your thoughts.
Popularity: 1 points | 3 comments
48. Show HN: I made a social media management platform to help businesses
Author: Christian_Leo
Description: Hi Everyone!
We’re a passionate team focused on making social media management simpler for businesses. With expertise in tech, marketing, and design, we’re committed to creating user-friendly tools that help brands save time, stay consistent, and grow their presence online. Collaboration, innovation, and listening to user feedback drive everything we do.
Popularity: 2 points | 1 comments
49. Show HN: Invoice.pizza – invoice creation delightfully simple
Author: BilalBudhani
Description: I opened http://bolt.new with no expections, one thing lead to another and I ended up building an invoice generator tool from scratch in ~4 hours with very little nudges from my side
https://invoice.pizza - A simple browser tool for creating invoices
Popularity: 2 points | 0 comments
50. Show HN: Tales – AI Podcasts for All Your Books
URL: #
Author: arpitagarwal
Description: Hello Folks,
We’re the team behind Tales.so
Over the past few days we’ve been hacking on Tales.so [1] - An AI podcast for all your books.
Some features that we’re most excited about are —
We used OpenAI, Claude, ElevenLabs, and the Cursor IDE to build this app up in just a few days. It’s astonishing how fast it came together.- AI podcasts for 10K+ books
Choose b/w podcast styles, i.e. — single person, or 2 people podcast
Evolving AI powered Book recommendations, based on your interests and listening history
Book reading lists of successful people, e.g. Marc Andreessen’s [2], Elon Musk’s [3]
Chat with Book Author AI Avatar
Why Tales.so?
We were re-watching The Matrix and Chuck (TV Show) over the Thanksgiving break, and were struck by lightning when we saw the — “I know Kung-Fu moment” [4][5][6]. Thought, it might be cool and possible to build something similar, with AI at the helm. So, we built Tales.so for you to try it out.
Where to next?
A few ideas:
Known Improvements —- Crowdsourced podcast script editing, wikipedia style,
Funny mode, interactive modes for each podcast
Short videos to expand beyond Podcasts
We’re going to dramatically improve the audio quality for the 2 people podcast in the coming week, but didn’t want to wait to show what we have already till then.
We’d love to hear what you think!
Arpit, Charvi
[1] Web app — https://www.tales.so?ref=news.ycombinator.com
[2] Marc Andreessen’s Book Recommendations - https://www.tales.so/collection/marc-andreessen-book-recomme…
[3] Elon Musk’s Book Recommendations - https://www.tales.so/collection/elon-musk-book-recommendatio…
[4] I Know Kung Fu (Matrix 1999) — https://www.youtube.com/watch?v=OrzgxUhnYjY
[5] Chuck gets the intersect / First Flash - https://www.youtube.com/watch?v=snIO7L6ulmo
[6] Chuck - I know Kung Fu - https://www.youtube.com/watch?v=PWciCU97bdQ
Popularity: 4 points | 0 comments
51. Show HN: I made a timer with background music and stats to stay focused
URL: https://www.zentimer.work/
Author: AlexGerasim
Description: I listen to music when doing stuff at my PC, also I’m curious about my productivity during the day, also I find making pauses essential to me to stay focused and sharp. So I’ve collected a list of high bitrate stations, grab some graphs and I built this timer. Let me know what you think.
Popularity: 3 points | 0 comments
52. Show HN: Directory for Finding Software Houses in Brazil
Author: pedrodrocha
Description: I built SW House Brasil, a platform to connect businesses with software houses in Brazil. The goal is to make it easier to find reliable partners for software development projects.
Why I built it: The local market is fragmented, and finding the right software house often feels overwhelming. SW House Brasil centralizes this process, allowing businesses to compare companies based on location, expertise, and technology stack.
What it offers:
- Search by region, service type, or specialization.
- Detailed company profiles with essential information for decision-making.
- Filters to quickly narrow down results.
What’s next:
- More filters
- Companies can claim and update their profiles.
- Simplified onboarding for software houses.
- Reviews and ratings for transparency.
- Personalized recommendations to match businesses with the best options.
I aim to create a valuable resource for the Brazilian tech ecosystem. If you are looking for a software house or represent one, I’d love your feedback.
Let me know your thoughts, critiques, or ideas for improvement. Thanks!
Popularity: 3 points | 1 comments
53. Show HN: I made a simple use case from Meta SAM model
URL: https://popit.loomilab.com/
Author: Shamika
Description: I am a fan of grayscale and deep-colored photography. I wanted to try that photo editing concept on my own images but since I am not proficient with Photoshop I did not even give it a try. But after I saw the SAM model demo by META it triggered again and made this simple tool to add a color pop effect with few a clicks. It’s a simple project that anyone can try yourself and see. Moreover, this is my first publicly hosted web app, and learned a lot while working with this.
Popularity: 3 points | 1 comments
54. Show HN: Christmas themed word search generator
URL: https://puzzles.lloydatkinson.net/
Author: MortyWaves
Description: I made a Christmas themed word search generator. I built it while planning some fun family games and activities for Christmas and thought that perhaps other people might enjoy it.
It currently isn’t interactive; you are given an image that gets downloaded so you can print it or do whatever you like with it.
Eventually I’ll expand it to have other themes and word lists. The UI is quite simplistic currently.
It’s written in C#/.NET. It shares some code with another project I’m working on that generates and solves mazes.
I may have time to add the ability to add your own words in a few days.
Popularity: 3 points | 4 comments
55. Show HN: A small 3D visualizer of your GitHub profile
URL: https://glowhub.pages.dev/thomscoder
Author: whocares_dude
Description: I made a small 3d visualizer with react three fiber and github’s apis. You can also embed it or export it as an image.
Repo: https://github.com/thomscoder/glowhub
Popularity: 3 points | 0 comments
56. Show HN: Built a macOS menubar app to track salary in real-time, now on the web
URL: https://billiondollarscompany.com/DonkeyCarrot/
Author: krayorn
Description: Had this idea with a friend while chatting about staying motivated during long workdays. We built a macOS app that tracks your salary in real time in your menubar. It’s been a fun way to stay motivated by seeing those dollars tick up throughout the day.
Recently, we decided to make a web version so it’s accessible on other platforms or for people who prefer a browser-based option.
The macOS app has a feature where you can set a milestone (e.g., $50 earned) and get a fun animation when you hit it. We didn’t bring that to the web version, just stuck to the title bar updating for simplicity.
If this makes you a tiny bit smile, we’d love to hear about it!
Popularity: 4 points | 2 comments
57. Show HN: An online editor for Web3 front ends (Free and Open Source)
Author: ym705
Description:
Popularity: 1 points | 0 comments
58. Show HN: Apidog – A Real Design-First API Development Platform
URL: https://apidog.com/
Author: yukioikeda
Description: Development teams often struggle with using multiple tools like Postman and Swagger for API design, development, and testing. This fragmented approach leads to outdated API specs and chaotic collaboration.
So we built Apidog: a single, unified API platform for team collaboration. It has a beautiful interface that makes it easy to create API spec, generate request data from API spec, validate responses, create mock data, orchestrate test scenarios, and publish API documentation.
Apidog = Postman + Swagger + Mock + JMeter.
Popularity: 5 points | 1 comments
59. Show HN: Advent of Habit
URL: https://github.com/Alestainer/advent-of-habit
Author: alestainer
Description: Some research suggests it takes around 21 days to build a habit. How about instead of doing another tired New Year’s resolution you start now and enter New Year with a habit in place? :) I made this app for myself and then noticed it is 21 days until the new year. It is recommended to pick habits with a relatively easy criteria of “done”, and don’t beat yourself up if you skip some, even if you manage to get one habit halfway there isn’t it great? P.S. I know that 21 days is kind of bs number, it can take shorter or a lot longer. Feedback is welcome.
Popularity: 2 points | 0 comments
60. Show HN: I built a meditation app that lets you pick the voice you like
URL: https://www.gethushai.com/
Author: jackycymo
Description: Show HN: I built a meditation app that lets you pick the voice you like
I’ve been meaning to meditate for a while now, but often find it hard to get started with apps like Calm or Headspace which require you to go through a series of lessons, especially with guided meditations.
Guided meditations on Spotify work too but sometimes I want to change the voice / background music just to make it more interesting.
So I built this app that lets you pick the voice / music and meditate to it, it’s specifically designed for 13-min guided meditations because studies show that it’s a minimal duration that still has significant benefits.
I’m planning to add these features soon:
- Other languages
- Interactive guided meditations so you can do things like exteroceptive meditation (label what you see or hear, chat with AI and let it guide you)
Curious to see what you think!
Popularity: 2 points | 1 comments
61. Show HN: Quancord – Explore the Quantum Supply Chain (Early Stage)
URL: https://www.quancord.com/
Author: Rupersia
Description:
Popularity: 1 points | 0 comments
62. Show HN: Bulk social media post creation
Author: benhowdle
Description: Hey all - I built this tool recently to help people repurpose their existing content (website copy, blog posts, etc) into blocks of social media posts for the various platforms. Enjoy!
Popularity: 5 points | 0 comments
63. Show HN: Qwik.host – simple platform to host your company blog
URL: https://qwik.host
Author: qwikhost
Description:
Popularity: 2 points | 0 comments
64. Show HN: I made Gyroscopic Gyro Sandwiches
URL: https://transistor-man.com/gyroscopic_gyros.html
Author: transistor-man
Description: Have you noticed that a gyro sandwich is only cooked in one axis? What a missed opportunity.
The following details an elaborate way to slow cook food, using a handmade contraption. Not only is it tasty, it’s mesmerizing. Feel free to copy the design for your own festivities.
Popularity: 105 points | 15 comments
65. Show HN: HackerNews-new-jobs – insights into fresh and recurring job ads
URL: https://github.com/nemanjam/hn-new-jobs
Author: nemanja_codes
Description: The website is meant for people that look for jobs on HackerNews “Who’s Hiring” threads and want to focus more on fresh ads and companies, or to quickly look up ad history of any company.
Github repository: https://github.com/nemanjam/hn-new-jobs
Demo website: https://hackernews-new-jobs.arm1.nemanjamitic.com
I used Algolia API as a data source, along with scheduled task that parses new threads few times at the beginning of each month. The extracted data is then stored in SQLite database for fast querying, and the results are cached with Keyv for faster page responses. I will see in the future how much traffic the website receives and if this stack is performant enough. For the website I used Next.js app with default ShadcnUI components and charts. I just wanted a quick functional prototype to test how much public interest is there for an app with functionality like this.
If you are interested in more implementation details you can find them in the Readme file on Github.
The project is free and open source. Feel free to use, self-host, fork and modify, and contribute. I would love to hear your impressions and suggestions and look forward to discussing features and technical details.
Popularity: 122 points | 62 comments
Conclusion
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