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Explore the hottest developer projects on Show HN for 2024-11-18. Dive into innovative tech, AI applications, and exciting new inventions!
Today, various innovative tools and platforms were showcased. Highlights include Jean, which simplifies user onboarding with one-click preference understanding, and Nosia, a privacy-focused AI that runs models on local data. Venmo’s unofficial API was also introduced, along with a Tailwind Box Shadow Generator and a meta-linter for multiple programming languages. For teams, Curiora provides an internal platform for knowledge sharing, while EnkiTask offers a straightforward task management tool for freelancers. Meanwhile, tools like Documind and FastGraphRAG aim to enhance data processing and knowledge graph utilization, benefiting both developers and businesses.
URL: https://www.jeantechnologies.com/
Author: jpolitzki
Description: Hi HN! I’m Jonathan, founder/CTO of Jean (https://www.jeantechnologies.com/) for one-click user understanding to skip onboarding and solve the cold start problem for immediate personalization.
The Problem: Every app asks the same questions about user preferences. Companies waste time and money on lengthy onboarding flows that users hate or hire ML teams that take months to form user identities and aren’t worth the cost. AI requires broad user data to be personalized.
What We Built:
Early Results:
Currently in private beta. Looking for feedback from developers building:
Email: [email protected]
Thanks HN!
Popularity: 3 points | 0 comments
URL: https://github.com/nosia-ai/nosia
Author: tontoncyber
Description: What happens when you wait months after the official release of ChatGPT, with all the media buzz, before you actually try it for the first time?
What happens when your first question to ChatGPT is about its carbon footprint, including Scope 3 emissions, and whether OpenAI complies with the Paris Agreement?
What happens when, back in 2013, you almost left tech to become a beekeeper, but then returned to the field driven by passion and a vision for doing things differently?
What happens when you believe in extending the life of terminals and servers, recycling, and reusing hardware, instead of succumbing to programmed obsolescence or deleting old emails?
What happens when you believe in the power of the French and European tech ecosystem to provide digital solutions that respect GDPR and uphold core values?
What happens when you stand for data sovereignty, empowering organizations to protect their data and act independently? What happens when you champion open-source and collective intelligence as key drivers of innovation?
What happens when you work with code, systems, networks, and cybersecurity, and approach your work like a craftsman, building something meaningful?
Introducing Nosia – a platform that allows you to run an AI model directly on your own data and device, from small models (SLM) to large models (LLM). It’s designed to be easy to install and use, empowering you to take control of your AI needs while respecting privacy, sustainability, and autonomy.
Popularity: 7 points | 5 comments
URL: https://github.com/Integuru-AI/Venmo-Unofficial-API
Author: richardzhang
Description:
Popularity: 81 points | 41 comments
URL: https://johnzanussi.com/posts/minions-pumpkin-animated-eye
Author: johnz
Description:
Popularity: 2 points | 0 comments
Author: greg387
Description: just built something fun: http://offerbutton.com and it’s 100% free for founders
story time - back in college i built a dating app. making ok money from ads, nothing crazy.
one day, random email hits our help inbox: “interested in acquiring your site, wanna chat?”
It was a brazilian company. It was only by some random chance that I was in that support inbox. Thank god. turned into life-changing exit offer (at least it felt like that at the time). classic right place right time situation.
got me thinking: why isn’t there an easy way for buyers to find sellers? Wouldn’t it be cool to sell your business to someone just browsing?
so i built offerbutton - one line of code that lets anyone make an offer to buy your business: that’s it. embed it, forget it, wait for offers.
built this entire thing with v0/cursor because everyone said “ai coding isn’t ready for real products”
prove them wrong i guess?
Offerbutton is perfect for:
works for deals $1k to $10m+.
100% free to embed. no fees. no commitment. It’s free for now for the first people who install it. too many great products die because founders/buyers never find each other.
let’s fix that.
who’s got something to sell?
Popularity: 1 points | 0 comments
URL: https://tailkits.com/tools/tailwind-box-shadow-generator/
Author: yucelfaruksahan
Description:
Popularity: 2 points | 0 comments
URL: https://github.com/qltysh/qlty
Author: brynary
Description:
Popularity: 4 points | 0 comments
URL: https://curiora.com
Author: vadimdez
Description: Hi HN! I built Curiora to solve the problem of scattered knowledge and disconnected discussions within companies. It’s essentially an internal Reddit-like platform that helps teams create focused communities, share valuable content, and surface the best insights through upvotes.
Key features:
- Create topic/team-specific communities within your organization
The main difference from existing solutions:
- More engaging than traditional knowledge bases
Tech stack: Nextjs, shadcn, Tailwind
Pricing is simple:
Starter: $9/mo (1 community, up to 10 members) Company: $15/mo (3 communities, up to 30 members) Enterprise: $25/mo (unlimited communities and members)
I’d love to hear your thoughts, feedback and suggestions! What other features would make this more valuable for your team?
Popularity: 1 points | 0 comments
URL: https://github.com/h8ngryDev4Hire/notate
Author: h8ngryDev
Description: This ain’t your junior dev’s copypaste Note taking app, I’m changing the way you browse the web, all without leaving your web browser!
You can create notes and group them together in notes to consolidtate your ideas!
Notate will also provide intelligent suggestions to add notes similar to your notebook based on the webpage you’re viewing!
Check it out on my Github! Cheers!
Popularity: 1 points | 0 comments
URL: https://ultimatecollaboration.org/
Author: sigalor
Description: …and I want to connect them all through the power of semantic matching via LLMs! Someone wanna build the tech stack for a world of holistic pleasure with me? I’m serious.
Popularity: 1 points | 0 comments
Author: peng37
Description: Free, open source, no data is collected.
Popularity: 2 points | 0 comments
URL: https://observablehq.com/@tomlarkworthy/exporter
Author: tlarkworthy
Description:
Popularity: 3 points | 0 comments
URL: https://github.com/ylem-co/ylem
Author: ardemchenkov
Description: Ylem is an open-source platform for real-time data streaming orchestration built on top of Apache Kafka.
Main differences between Ylem and existing orchestrators:
- Microservice architecture, which makes it easily scalable.
Our documentation: https://docs.ylem.co/open-source-edition/task-processing-arc….
Please have a look, try to install it and run it, give us a star, and send me your feedback. Any feedback is appreciated.
Popularity: 3 points | 0 comments
URL: https://worldclass.domains/
Author: ImranK
Description:
Popularity: 2 points | 0 comments
Author: ilidemi
Description: Hello HN! Many times I found myself reading someone’s blog and realizing I want to learn as much as I can from this person, or that they’re covering their niche in a way no one else does. And so I’d want to read their backlog but the only ways to do it are to binge it all at once or to keep a tab open for weeks.
This seemed like an oversight in the RSS functionality but fortunately turned out to be possible to build outside-in. A custom crawler, a lot of XPath heuristics and tuning against 1500 random blogs enable us to reconstruct the archives even when the website is handcrafted and the feed only has 10 last items.
FeedRewind:
- Fetches the blog archives
- Provides a private RSS/email feed, filtered by time range or post categories if you wish it so
- Allows you to set your own pace (e.g. one every weekday morning or a batch every Sunday)
Give it a try if you want to catch up on PG’s essays, Bits about Money stories, Dan Luu’s longform analysis, or your favorite programming blog. I spent quite some time sourcing high-quality suggestions from HN comment threads and elsewhere, hope there’s something that catches your eye. Feedback is always welcome!
Popularity: 3 points | 0 comments
URL: https://kamalmanual.com/handbook/
Author: strzibny
Description: Hi fellow readers of HN,
I made a new edition of Kamal Handbook to address the big leap of changes from Kamal 2. A lot had to be rewritten and I made the book even a bit longer and better as much as I could.
Kamal is an imperative deployment tool. It’s basically a successor to Capistrano, but for a container era. Kamal 2 is solving the main painpoints people had with version 1:
- auto SSL for single-server deployments
- multiple apps on a single-server
- unifying ENV management with ‘kamal deploy’
- faster deploys
I really believe that Kamal is now a better option than Docker Compose or Dokku, perhaps even than Kubernetes (use-case provided).
Compared to my previous HN announcement of the first edition mentioning 300 sales, I now crossed 1000+ sales on Gumroad.
I cut a new preview for SHOW HN again here: https://kamalmanual.com/handbook/first-deploy-preview.pdf
Josef
Popularity: 1 points | 0 comments
Author: Bslou
Description:
Popularity: 1 points | 0 comments
URL: https://github.com/dannylee1020/openpo
Author: dphtm
Description:
Popularity: 1 points | 0 comments
URL: https://github.com/circlemind-ai/fast-graphrag
Author: liukidar
Description: Hey there HN! We’re Antonio, Luca, and Yuhang, and we’re excited to introduce Fast GraphRAG, an open-source RAG approach that leverages knowledge graphs and the 25 years old PageRank for better information retrieval and reasoning.
Building a good RAG pipeline these days takes a lot of manual optimizations. Most engineers intuitively start from naive RAG: throw everything in a vector database and hope that semantic search is powerful enough. This can work for use cases where accuracy isn’t too important and hallucinations are tolerable, but it doesn’t work for more difficult queries that involve multi-hop reasoning or more advanced domain understanding. Also, it’s impossible to debug it.
To address these limitations, many engineers find themselves adding extra layers like agent-based preprocessing, custom embeddings, reranking mechanisms, and hybrid search strategies. Much like the early days of machine learning when we manually crafted feature vectors to squeeze out marginal gains, building an effective RAG system often becomes an exercise in crafting engineering “hacks.”
Earlier this year, Microsoft seeded the idea of using Knowledge Graphs for RAG and published GraphRAG - i.e. RAG with Knowledge Graphs. We believe that there is an incredible potential in this idea, but existing implementations are naive in the way they create and explore the graph. That’s why we developed Fast GraphRAG with a new algorithmic approach using good old PageRank.
There are two main challenges when building a reliable RAG system:
(1) Data Noise: Real-world data is often messy. Customer support tickets, chat logs, and other conversational data can include a lot of irrelevant information. If you push noisy data into a vector database, you’re likely to get noisy results.
(2) Domain Specialization: For complex use cases, a RAG system must understand the domain-specific context. This requires creating representations that capture not just the words but the deeper relationships and structures within the data.
Our solution builds on these insights by incorporating knowledge graphs into the RAG pipeline. Knowledge graphs store entities and their relationships, and can help structure data in a way that enables more accurate and context-aware information retrieval. 12 years ago Google announced the knowledge graph we all know about [1]. It was a pioneering move. Now we have LLMs, meaning that people can finally do RAG on their own data with tools that can be as powerful as Google’s original idea.
Before we built this, Antonio was at Amazon, while Luca and Yuhang were finishing their PhDs at Oxford. We had been thinking about this problem for years and we always loved the parallel between pagerank and the human memory [2]. We believe that searching for memories is incredibly similar to searching the web.
Here’s how it works:
- Entity and Relationship Extraction: Fast GraphRAG uses LLMs to extract entities and their relationships from your data and stores them in a graph format [3].
- Query Processing: When you make a query, Fast GraphRAG starts by finding the most relevant entities using vector search, then runs a personalized PageRank algorithm to determine the most important “memories” or pieces of information related to the query [4].
- Incremental Updates: Unlike other graph-based RAG systems, Fast GraphRAG natively supports incremental data insertions. This means you can continuously add new data without reprocessing the entire graph.
- Faster: These design choices make our algorithm faster and more affordable to run than other graph-based RAG systems because we eliminate the need for communities and clustering.
Suppose you’re analyzing a book and want to focus on character interactions, locations, and significant events:
This code creates a domain-specific knowledge graph based on your data, example queries, and specified entity types. Then you can query it in plain English while it automatically handles all the data fetching, entity extractions, co-reference resolutions, memory elections, etc. When you add new data, locking and checkpointing is handled for you as well.from fast_graphrag import GraphRAG
DOMAIN = “Analyze this story and identify the characters. Focus on how they interact with each other, the locations they explore, and their relationships.”
EXAMPLE_QUERIES = [ “What is the significance of Christmas Eve in A Christmas Carol?”, “How does the setting of Victorian London contribute to the story’s themes?”, “Describe the chain of events that leads to Scrooge’s transformation.”, “How does Dickens use the different spirits (Past, Present, and Future) to guide Scrooge?”, “Why does Dickens choose to divide the story into "staves" rather than chapters?” ]
ENTITY_TYPES = [“Character”, “Animal”, “Place”, “Object”, “Activity”, “Event”]
grag = GraphRAG( working_dir=”./book_example”, domain=DOMAIN, example_queries=“\n”.join(EXAMPLE_QUERIES), entity_types=ENTITY_TYPES )
with open(”./book.txt”) as f: grag.insert(f.read())
print(grag.query(“Who is Scrooge?“).response)
This is the kind of infrastructure that GenAI apps need to handle large-scale real-world data. Our goal is to give you this infrastructure so that you can focus on what’s important: building great apps for your users without having to care about manually engineering a retrieval pipeline. In the managed service, we also have a suite of UI tools for you to explore and debug your knowledge graph.
We have a free hosted solution with up to 100 monthly requests. When you’re ready to grow, we have paid plans that scale with you. And of course you can self host our open-source engine.
Give us a spin today at https://circlemind.co and see our code at https://github.com/circlemind-ai/fast-graphrag
We’d love feedback :)
[1] https://blog.google/products/search/introducing-knowledge-gr…
[2] Griffiths, T. L., Steyvers, M., & Firl, A. (2007). Google and the Mind: Predicting Fluency with PageRank. Psychological Science, 18(12), 1069–1076. http://www.jstor.org/stable/40064705
[3] Similarly to Microsoft’s GraphRAG: https://github.com/microsoft/graphrag
[4] Similarly to OSU’s HippoRAG: https://github.com/OSU-NLP-Group/HippoRAG
https://vhs.charm.sh/vhs-4fCicgsbsc7UX0pemOcsMp.gif
Popularity: 333 points | 83 comments
URL: #
Author: booper
Description: Hi HN, I’m excited to share EnkiTask, a simple project management tool we built for freelancers and indie hackers. We wanted something with:
We started using it internally, and after positive feedback from friends, decided to make it public. Would love your thoughts!
Check it out here: https://enkitask.com
Popularity: 3 points | 0 comments
Author: AhmedBn
Description:
Popularity: 10 points | 0 comments
URL: https://mktbx.com/#tryout
Author: jtap
Description:
Popularity: 1 points | 1 comments
URL: https://webvm.io/alpine.html
Author: apignotti
Description:
Popularity: 2 points | 0 comments
URL: https://app.swastikai.com/
Author: chirotpal
Description: Launched in private beta, join the waitlist to get FREE usage credit of our memory API.
Popularity: 1 points | 1 comments
URL: https://tips.io
Author: TIPSIO
Description: Hi HN!
My name is Nick and this is my fun side project. Please lay it on me. HN can think of Tips.io as a cracked out Tailwind Playground that has page management and amazing AI integration.
There are a few core ideas:
1) The HTML is the CMS
There are no fields or restrictions. Just hover, click, and start tweaking any HTML. Also, certain elements you click will have special easy edit abilities:
- <img> auto creates an uploader, stock photo picker (or HTML)
- <video> auto creates an uploader, stock video picker (or HTML)
- <svg> auto creates a big icon picker (or HTML)
- <div class=“prose”> auto creates a WYSIWYG Editor (or HTML)
2) Slices
Think of these as just individual HTML sections of a page or lil baby single-file components. They are self-contained and isolated so you drag them around easily. The real power comes from reuse across your pages and linking them (aka, one HTML footer updates globally). You can also use “slices” from any other tips.io project for quickly expanding your site with more design options.
3) AI Elements, Not Pages
Another cool concept is you can select any element on an HTML slice an edit that individually vs re-streaming/rebuilding and entire component every time. We support 5 different AI models right now. Some other really intense/cool AI integration is coming soon.
4) Tailwind Everything, No Build Step, & Theming
We have a custom “themer” to make creating Tailwind config files near instant with real-time font trying, color palettes/preset trying, and more. All our Tailwind is automatic and requires zero config instantly. The same Tailwind that magic runs client-side will run server-side so quick no one knows a build step is happening. Tailwind and AI are also a match made in heaven.
Other features:
- Animations
Tech:
- 100% Cloudflare Workers
Some resources:
- Promo video: https://www.youtube.com/watch?v=s8U2rJJX-rk
Popularity: 243 points | 58 comments
URL: https://chromewebstore.google.com/detail/claude-folder-upload-help/kpdeinalphndoobebbkdjhokedpgalad
Author: whyismynamerudy
Description:
Popularity: 2 points | 1 comments
Author: allanren
Description:
Popularity: 4 points | 1 comments
URL: https://www.youtube.com/watch?v=peVMEGTXfV4
Author: HipstaJules
Description:
Popularity: 2 points | 0 comments
URL: https://github.com/Jainex17/RepoVerifier
Author: jainex
Description: RepoVerifier is a web tool that checks if a GitHub project is original or copied from another repository.
Popularity: 1 points | 0 comments
URL: https://github.com/basemulti/basemulti
Author: kiddyu
Description:
Popularity: 2 points | 5 comments
Author: atomsatomsatoms
Description: Create and manage your own spells! Looking for thoughts on where this might go. Just a side-project for now.
Popularity: 1 points | 0 comments
URL: https://github.com/Addepto/contextcheck
Author: johnbl
Description:
Popularity: 2 points | 0 comments
Author: marvinified
Description:
Popularity: 2 points | 0 comments
URL: https://www.youtube.com/watch?v=unW1zk8terk
Author: sargstuff
Description:
Popularity: 2 points | 0 comments
URL: https://github.com/lmstudio-ai/venvstacks
Author: sargstuff
Description:
Popularity: 1 points | 0 comments
URL: https://github.com/andrejbauer/spartan-type-theory
Author: sargstuff
Description:
Popularity: 1 points | 0 comments
URL: https://www.monadsky.com/
Author: abdul_awali
Description:
Popularity: 3 points | 0 comments
URL: https://chromewebstore.google.com/detail/seo-pataka-firepower-seo/enhjhhjlklkpbmfedkefaomihpnkogih
Author: njx
Description:
Popularity: 1 points | 0 comments
URL: https://remotejobsly.com/
Author: cranberryturkey
Description:
Popularity: 1 points | 0 comments
URL: https://www.apply-nexus.com/
Author: ziadhussein
Description: Hey all,
I built a job seeker companion [app](https://apply-nexus.com) that I have been using for months to add clarity to my job search.
What does it do?
- You can track your jobs using its Autofill feature - no need to manually entry each job’s details
It has been really helpful for me and provided me a lot of insights regarding my job search journey and I hope it will be as helpful for you. I am open to any feedback on this app and there’s a dedicated section for it [here](https://insigh.to/b/applynexus)
Popularity: 1 points | 0 comments
URL: https://aipostergenerator.com/
Author: nasir
Description:
Popularity: 1 points | 0 comments
Author: xjliu1229
Description: Hi HN!
We’re excited to introduce MimicPhoto, an AI-powered tool designed to breathe life into your static photos. With just a few clicks, you can transform still images into dynamic, animated memories that feel alive. Think of it as a way to create short, lifelike moments from your cherished photos!
Key Features:
AI Animation: Automatically generates natural and smooth animations for any photo. Creative Outputs: Add a touch of fun and creativity to ordinary pictures. Easy Sharing: Instantly share your animated creations with friends and family. MimicPhoto is currently in its early stages, and we’re exploring ways to make it more useful, fun, and engaging. This is where you come in—we’d love to hear your thoughts! Your feedback and ideas can help us refine the product, improve its features, and determine its direction.
Popularity: 2 points | 0 comments
URL: https://testzeus.com/hercules
Author: Smilinrobin
Description: Hey HN,
After spending way too many late nights wrestling with brittle test scripts and UIs that seem to change just to spite me, we decided to do something about it. So we built Hercules, an open-source testing agent aiming to make end-to-end testing of modern web applications less of a Herculean task (pun absolutely intended).
P.S.- Paid solutions can cost upwords of $15000 and still struggle with maintenance.
What is Hercules?
Hercules is an AI-powered testing agent that turns simple Gherkin steps into fully automated end-to-end tests, eliminating the need for coding skills. It leverages Large Language Models (LLMs) to reason and perform actions based on test requirements.
Key Features-
- Gherkin In, Results Out: Just provide your tests in Gherkin format, and Hercules executes them automatically, outputting results in JUnit XML and HTML reports.
Why is Hercules Different?
Unlike traditional testing tools, Hercules acts as an intelligent agent that can think, reason, and adapt. It’s built on a multi-agent architecture, allowing it to plan and execute tasks based on the provided Gherkin steps. Additionally, it comes packed with tool usage like Browsers, or APIs; and users can build/attach external tools too.
Try It Out
The source code and detailed documentation are available on GitHub: [https://github.com/test-zeus-ai/testzeus-hercules](https://g…
To get started:
- Install via PyPI:
```bash
pip install testzeus-hercules
playwright install —with-deps
```bash
docker pull testzeus/hercules:latest
We’ve included sample feature files and a quick-start guide in the README to help you get up and running quickly.
Feedback Welcome-
We’d love to hear your thoughts, experiences, or even horror stories about testing gone wrong. Feel free to open issues on GitHub or join forces on our Discord : https://discord.gg/4fyEMWVD
Popularity: 5 points | 7 comments
URL: https://kneady.dev
Author: moumentos
Description: Hey HN,
So much time and effort is put into ASO, while SEO is often ignored. Why? Because building web infrastructure for mobile apps is complex, time-consuming and mostly out of scope.
That’s why I built Kneady - helping mobile apps get discovered through their content.
What Kneady Does:
Perfect for:
Quick Integration:
Some people have shown interest in more content types likes social media posts, adding comments and reviews.
Would love to hear your thoughts about Kneady
Popularity: 1 points | 0 comments
URL: https://github.com/DocumindHQ/documind
Author: Tammilore
Description: Documind is an open-source tool that turns documents into structured data using AI.
What it does:
- Extracts specific data from PDFs based on your custom schema
Just run npm install documind to get started.
Popularity: 160 points | 49 comments
URL: https://payg-ai.com
Author: soxprox
Description:
Popularity: 1 points | 3 comments
Author: asrul10
Description: Hi, everyone!
Thank you for checking out VectorUbi.
VectorUbi is an AI-powered vector illustration generator that helps content creators, developers, and marketers create professional-quality illustrations in seconds.
Key Features:
- Lightning-fast generation: Create an illustration in less than 5 seconds.
- Consistent styles: Maintain a cohesive visual language across projects.
- Customizable: Download in SVG format to easily tweak colors, shapes, and compositions in tools like Adobe Illustrator or Figma.
- Action-ready visuals: Generate characters performing any action or scene you need, tailored to your description.
- Flexible pricing: Affordable, quota-based plans with no expiration dates.
Why VectorUbi?
I know the frustration of finding the perfect illustration but missing key details or spending hours customizing one from scratch. With VectorUbi, you get instant illustrations that are seamlessly adaptable to your brand, enabling faster, more creative workflows.
Popularity: 1 points | 3 comments
URL: https://github.com/dekart-xyz/dekart
Author: delfrrr
Description:
Popularity: 1 points | 0 comments
Author: wa5ina
Description: i was tired of building things nobody needs? I created a tool that mines user pain points online, analyses patterns with LLMs, generate deep reports and highlights real opportunities for devs.
Popularity: 2 points | 6 comments
URL: https://www.worldsradio.com
Author: shinjuku
Description: Listen to radio stations around the world
Popularity: 22 points | 13 comments
URL: https://gleam.so/gallery/og-images
Author: anhphong
Description:
Popularity: 1 points | 0 comments
URL: https://github.com/notrab/dumbo
Author: notrab
Description: Hey HN, I last PHP professionally over 15 years ago, and I loved it. I switched to Ruby on Rails, then Node/Go/React/GraphQL as there was a lot more demand for those roles. However, PHP is back!
In true JavaScript fashion, I decided to learn PHP again by building a framework to put all the pieces together in my brain.
I absolutely love Hono.dev, and decided to base the PHP framework on that. Dumbo isn’t intended to compete with Laravel, Symphony or Slim, if anything, it’s something people can use in production, but also contribute to and be used as a learning resource for others.
Popularity: 56 points | 49 comments
URL: https://apps.apple.com/us/app/lume-stress-wellness-coach/id6627339194
Author: mazenkurdi
Description: Hey HN,
I’m excited to introduce Lume to you today! As the developer behind this wellness companion, I created Lume to help people get ahead of their stress and anxiety by alerting them before they even feel it.
Lume isn’t just another wellness tracker. It’s built with proactive insights, using patterns in your data to help you understand and manage stress and anxiety in real-time. My own experience inspired this approach – I noticed how shifts in my resting heart rate often correlated with rising stress, and I wanted a way to address it sooner. Lume gives users that early nudge, along with personalized tips to help keep stress in check before it overwhelms.
One thing I’m particularly proud of is how Lume caters to a balanced lifestyle. It’s more than just tracking – Lume’s insights span across daily pillars like sleep, exercise, and mindfulness, making it a well-rounded companion for your mental well-being.
If Lume resonates with you, I’d love your support! Thank you for being a part of this journey toward a calmer, more balanced life:
https://apps.apple.com/app/lume-stress-wellness-coach/id6627…
Popularity: 3 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