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Explore the hottest developer projects on Show HN for 2024-10-30. Dive into innovative tech, AI applications, and exciting new inventions!
Today’s content features a diverse range of projects shared on Show HN. Highlights include Logforth, a Rust-based logging implementation; a mini political strategy game; and Genomie, a genome browser with a natural language interface. Other projects cover an AI job search assistant, an interactive note-taking app, and a no-code platform for web data extraction. Additionally, a vote swapping initiative and a lightweight automation tool for web tasks caught attention. Overall, these innovations showcase the creativity and problem-solving potential within the tech community.
URL: https://docs.rs/logforth/latest/logforth/
Author: tison
Description:
Popularity: 2 points | 0 comments
URL: https://powerballpolitics.fun/
Author: amitlzkpa
Description: Hi HN
I made a mini game where you manage a party’s campaign over 3 rounds. It combines strategic decision-making with elements of randomness and chaos, and can be played in under 10 minutes!
Its lightweight, offline-friendly and made using pure HTML/CSS/JS. Thinking of writing a detailed technical article on the game’s mechanics soon.
Give it a try and let me know what you think! [powerballpolitics.fun](https://powerballpolitics.fun/)
Feedback is always welcome!
Popularity: 1 points | 0 comments
URL: https://github.com/mzguntalan/zephyr
Author: imaginepandas
Description: Hello HN! I have an early work-in-progress Neural Network Framework written on top of JAX.
Simple | Declarative | No need to learn duplicated JAX transforms or specialized manipulation functions
Its key difference with other JAX frameworks is its simplicity and straightforwardness. With other frameworks, the network is transformed to an (init, apply) which are pure functions and you basically don’t use the actual code you’ve written and instead use this. With zephyr, neural networks look like neural networks: a function of parameters, input-data, and hyperparameters. It’s also patterned for FP use, so partial application will a useful alternative to states in OO.
Lastly, it’s meant to be declarative and simple. Neural networks are just functions, not objects that need instantiation or anything. This means code are usually shorter as declaration and usage/computation happens in the same place since those things are highly coupled and so placing them together results in less cognitive load.
It’s early stage and so the core nets are few and unpolished, but I want to focus on the core first before moving on to implementing all core nets. Feedback on any part of it is very welcome!
Popularity: 1 points | 0 comments
![Show HN: WIP] Zephyr NN Jax FrameworkL Short, Simple, Declarative - Project Screenshot](https://showhntoday.com/images/42002570.png)
URL: https://www.lawllipop.com/
Author: anconia
Description: I went on a few road trips over the past few years, and I always tried to stay in a new and clean hotel. I tried to find a source for new hotels, and I couldn’t find one. I made this map as a reference guide.
This map may come in handy on your next road trip or business trip!
Popularity: 1 points | 0 comments
Author: alanaan
Description:
Popularity: 1 points | 1 comments
URL: https://floma.io/app
Author: gr__or
Description: Floma is a diagraming/low-code tool for conditional question/answer flows. I think it already beats code for getting an overview over different paths people can take through complex forms.
Currently it is merely an editor which spits out a JSON state machine that can be embedded in any app. I think that is a feature because the nitty gritty of UI, and all the possible Turing-complete in-between steps can still be fully custom (we also generate a TS file with question-answer-type mappings, to guarantee type safety).
Then again, it could also become a hosted service. That might help with onboarding users. But then we’d have to wade into the waters of saving form submissions and all the associated privacy questions. Might be worth it though?!
We built it out of necessity for https://mietencheck.de (which I blogged about here: https://watwa.re/mietencheck).
LF all kinds of feedback!
Popularity: 1 points | 0 comments
URL: https://crates.io/crates/g-win
Author: mj10021
Description:
Popularity: 30 points | 6 comments
URL: https://testflight.apple.com/join/1k5Z276J
Author: syousif
Description: Hey everyone, I’ve made a simple app using llama 3.2 and iOS’s TTS and Speech to Text APIs. Would love feedback! I plan on adding function calling soon (I’ve generated all the code but I wanted to ship something simple before integrating it.)
Popularity: 1 points | 1 comments
URL: https://www.barneyhill.com/pages/genomie/
Author: Barneyhill
Description: I built a natural language interface for semantically searching across FutureHouse’s WikiCrow generated gene summaries embedded in a genome browser.
As a PhD student working with non-coding variants, I found it challenging to quickly interpret genetic associations using traditional genome browsers. Genomie helps prioritize genes that could be regulated by nearby non-coding associations by running cosine similarity between gene article and your search terms.
Would love to hear what other bio people think about interfaces with new ml/bio tools.
Popularity: 2 points | 0 comments
URL: https://seoroast.co/tools/seo-title-generator
Author: illyism
Description:
Popularity: 1 points | 1 comments
Author: funfunfunction
Description:
Popularity: 4 points | 0 comments
URL: https://kliplab.com/
Author: thiagoas
Description: Hey everyone, we’ve built KlipLab: a web-app that allows users to create TTS voiceovers and lip-synced videos using the voices of celebrities, public figures, and fictional characters. You can also upload your own audio and video files and have them lip-synced.
This was inspired by our need to streamline content creation for our Instagram page @compsci.brainrot.
Popularity: 2 points | 0 comments
URL: https://www.notclass.com/
Author: Marius_Manola
Description: I’ve been working on this for a few days now.
The goal is to create a library of the best free educational content available and to build personalised learning paths for each user, using only free resources and at no cost to the user.
Let me know what you think.
Popularity: 2 points | 3 comments
URL: https://josefs-picture-book.brandstetter.io
Author: BrandiATMuhkuh
Description: Hi HN,
My 5-year-old loves when I read picture books to him, but we don’t always have one around. So, I made a tool where he (and I) can simply record an idea, and it instantly generates a picture book based on it.
BTW I’ve used v0 and Cursor for most of the UI. It’s pretty cool for simple interfaces like this. The course can be found here: https://github.com/BrandiATMuhkuh/josefs-picture-book
Popularity: 1 points | 0 comments
URL: https://github.com/skylar-anderson/github-grid-agent
Author: sandersonsd
Description: Hey HN
I’m a Product Designer working in AI so I spend a lot of time prototyping and tinkering with novel AI-native UIs.
My most recent prototype, called Grid Agent, explores a “declarative UI” for interacting with an agent where the user merely describes the shape of a data grid and an agent with access to tools populates cell values instantaneously. The agent respects the expected structure of each cell, so the user can easily filter, group, and search against the grid data.
This particular example uses GitHub APIs for tools to provide organization and triage of open issues in a public repository, but I believe the approach can scale to other types of tools and use cases.
Popularity: 2 points | 0 comments
URL: https://github.com/shaheemMPM/zip-benchmark
Author: shaheem_mpm
Description:
Popularity: 3 points | 1 comments
URL: https://github.com/safedep/vet
Author: abhisek
Description: vet is a tool for identifying risks in open source software supply chain. It goes beyond just vulnerabilities and provides visibility on OSS package risks due to it’s license, popularity, security hygiene, and more. vet is designed with the goal of helping software development teams consume safe and trusted OSS components through automated vetting in CI/CD.
Popularity: 3 points | 0 comments
URL: https://github.com/Mooncake-Labs/pg_mooncake
Author: sunzhousz
Description: Hello HN, one of the founders of Mooncake Labs here.
Today, we are launching pg_mooncake, an extension that brings columnstore tables with DuckDB execution to Postgres. Expect analytical performance akin to DuckDB on Parquet (clickbench results to come soon). You can run transactional updates, deletes, inserts on these tables, and they’re written as Delta Lake tables (and soon Iceberg) to your object store (S3, etc.). pg_mooncake is live on Neon today. Let us know what you think. It’ll be coming to Supabase shortly, and other Postgres providers in the future.
Why another postgres analytics extension?
We actually leverage pg_duckdb and DuckDB as our execution engine — this is how we were able to ship the extension in just 60 days. We wrote about this with the DuckDB team: https://motherduck.com/blog/pg-mooncake-columnstore/
pg_mooncake shines in two scenarios:
1. Up-to-date analytics in Postgres
- This is where having a table semantics, and not just exporting files is key.
- Exporting Postgres Data to Iceberg/Delta Lake tables, and querying them outside of Postgres
Run ad-hoc analytics with Pandas, DuckDB, Polars. Or data transforms and processing with Polars and Spark directly on these tables.
You don’t need to manage ad-hoc parquet files and complex pipelines.
We just came out of stealth today. Mooncake is a managed Lakehouse with clean Postgres and Python experiences. Our core belief is that open table formats (Iceberg and Delta) provide a lot of flexibility, and we can ensure great DevEx on top. We will bring it to more workloads, applications, developers and agents.
Read about our beliefs: https://mooncake.dev/blog/3.
Cheers!
Popularity: 23 points | 9 comments
URL: https://sindresorhus.com/supercharge
Author: mofle
Description:
Popularity: 27 points | 19 comments
URL: https://github.com/guidance-ai/llgtrt
Author: mmoskal
Description: I wanted to share a project I’ve been working on for the past few weeks: llgtrt. It’s a Rust implementation of a HTTP REST server for hosting Large Language Models using llguidance library for constrained output with NVIDIA TensorRT-LLM.
The server is compatible with the OpenAI REST API and supports structured JSON schema enforcement as well as full context-free grammars (via Guidance). It’s similar in spirit to the Python-based TensorRT-LLM OpenAI server example but written entirely in Rust and built with constraints in mind. No Triton Inference Server involved.
This also serves as a demo for the llguidance library, which lets you apply sampling constraints via Rust, C, or Python interface, with minimal generation overhead and no startup cost.
Any feedback or questions are welcome!
Popularity: 5 points | 0 comments
Author: lcorinst
Description: AI OmniGen is an advanced AI image generator, offering identity preservation for consistent subject representation and seamless image editing for refined, customized visuals.
Popularity: 130 points | 33 comments
URL: https://newsletterguide.vercel.app/
Author: Maxamillion96
Description: Hi. a problem i found is that it is very hard to find substack newsletters, so I built a way to find substacks that you might be into, and it emails you a curated email that contains a list of substacks that you might be interested in. Note that the data in this is dummy data, the subscription thing is a placeholder and I haven’t set up the submit your substack function yet
Popularity: 1 points | 0 comments
URL: https://github.com/PropsAI/agentserve
Author: k11kirky
Description: Hey HN!
I am super excited (and slightly nervous) to introduce AgentServe!
What is AgentServe?
AgentServe is a framework to make hosting scalable AI agents as easy as possible. With 4 lines of code AS wraps your agent (any framework) in a FastAPI and connects it to a Task Queue (celery or redis).
Why Should You Care?
Standardized Communication Pattern: AgentServe proposes that all agents should communicate with each other and the outside world with “Tasks” that can be submitted in a sync or async way. This simple API wil enable
Framework Agnostic: No favorites. OpenAI, LangChain, LlamaIndex, CrewAI are all welcome. AS provides an entry point for the outside world to engage with your agent.
Task Queuing: For when your agents need a little help managing their to-do list. For scale or Asyncronous background agents, AgentServe connects with Redis or Celery Queues.
Batteries Included: AgentServe aims to remove a lot of the boiler plate of writing an API, managing validation, errros ect. Next on the roadmap is introducing a miiddleware pattern to add auth, observability or anything else you can think of.
Why Are We Here?
I want your feedback, your ideas, and maybe even your code contributions. This is an open invitation to our Discord server and give honest burtal feedback.
Join Us!
[Discord](https://discord.gg/JkPrCnExSf)
[GitHub](https://github.com/PropsAI/agentserve) Fork it, star it, or just stare at it. We won’t judge.
What’s Next?
We’re working on streaming responses, detail hosting instructions for each cloud. And eventually created a one click hosting option and managed queue with an AgentServe Cloud (but lets not get ahead of outselves)
Thank you for reading, please check it out and let me know if this is useful.
Cheers,
Peter Kirkham
Popularity: 6 points | 0 comments
Author: dennis16384
Description: Hi HN,
I’ve built local-first route optimization that runs in the browser, without backend. No mobile version, only desktops/tablets.
It’s basic at the moment, but is completely free, and will stay free for most of the functionality in the future, because there’s no backend costs for optimization.
Some highlights:
About solver:
Feel free to play with it, tasks up to 3000 orders or 100-200 vehicles are optimized fine even on 10-years old laptop in the browser.
Thanks!
Popularity: 1 points | 0 comments
URL: https://github.com/AndrusAsumets/supershy-client
Author: AndrusAsumets
Description:
Popularity: 1 points | 0 comments
Author: undercover89
Description: Hey HN! I created jumpship.fyi out of curiosity about where FAANG engineers were heading for their next journeys. I believe the engineers a company attracts say a lot about its culture and potential. For example, if a lesser-known Series B startup draws in 2-3 senior engineers from Google or Meta, it’s likely worth a closer look.
I’m curious if others find this information useful, so I’d love your feedback! Please give it a try, and feel free to ask me any questions. No logins or accounts required.
Popularity: 3 points | 3 comments
URL: https://blockblastgame.net/
Author: alexfefun
Description: I work as a technical support specialist with no prior development experience. However, with the rapid advancement of AI in recent years, even someone with limited coding skills like me can now build websites with AI assistance. Due to economic pressures, I’ve been exploring opportunities to generate income through international markets, which led me to website development. After reviewing my experience with several previous sites, I’ve identified these main pitfalls:
Rushing to develop main features before achieving good search rankings Successfully achieving rankings, but targeting low-frequency, non-essential scenarios that resulted in poor conversion rates
My latest project is a gaming website (blockblastgame.net). I chose this direction because:
Low development costs Simple implementation (using iframes to embed HTML games)( https://blockblastgame.net ) Minimal overhead (primarily just domain costs)
I’m sharing this experience to get feedback from the HN community on this approach and hear from others who might have gone through similar journeys.
Popularity: 1 points | 0 comments
URL: https://github.com/marketplace/llamapreview
Author: Jet_Xu
Description: I built LlamaPReview to solve a common frustration: most AI code reviewers either require complex setup or don’t truly understand project context.
Key differentiators:
1. One-click installation through GitHub Marketplace - no configuration needed 2. Analyzes your entire codebase first to understand:
Technical implementation:
The goal is to handle routine reviews automatically so developers can focus on complex architectural decisions. Currently in production and processing real PRs.
Try it for free: https://github.com/marketplace/llamapreview/
Looking for feedback from the HN community, especially on:
Popularity: 86 points | 28 comments
URL: https://www.screencanvas.app/
Author: rabbimarshak
Description: Screen Canvas is the only app that lets you create stunning, customized digital signs directly on your Apple TV—instantly and effortlessly, using only your remote or even Siri! Perfect for everyone—from individuals crafting reminders or greetings, to businesses setting up real-time displays—Screen Canvas makes creating digital signage fast, taking just seconds right on your TV.
Why it’s different: No need for third-party apps, designing in a browser, or using complicated software filled with complex features. Screen Canvas is perfect for creating quick, simple signs that anyone can make—no tech skills required. Everything is done right on your Apple TV, with no setup hassles. You can save unlimited signs, add over 100 premium stock photos, customize colors, and enjoy an easy-to-use design library. The free version includes essential features, and a one-time Pro upgrade unlocks extras like more colors, extended character limits, a full image library, and no watermark. Designed for ease of use, Screen Canvas adds a polished, professional touch to any TV display.
Popularity: 3 points | 0 comments
URL: https://github.com/hypermodeinc/modus
Author: mj1586
Description: Modus is an open-source, serverless framework for building APIs powered by WebAssembly. It simplifies integrating AI models, data, and business logic with sandboxed execution.
We built Modus to put code back at the heart of development.
You write a function.
export function sayHello(name: string): string {
return Hello, ${name}!
;
}
Then, Modus:- extracts the metadata of your functions
- compiles your code with optimizations based on the host environment
- caches the compiled module in memory for fast retrieval
- prepares an invocation plan for each function
- extracts connections, models, and other configuration details from the app’s manifest
- generates an API schema and activates the endpoint
You query the endpoint.
query SayHello {
sayHello(name: “world”)
}
In a few milliseconds, Modus:- loads your compiled code into a sandboxed execution environment with a dedicated memory space
- runs your code, aided by host functions that power the Modus APIs
- securely queries data and AI models as needed, without exposing credentials to your code
- responds via the API result and releases the execution environment
Now you have a production ready scalable endpoint for your AI-enabled app. AI-ready when you’re ready. Launch and iterate.
Read more in the announcement blog post: https://hypermode.com/blog/introducing-modus-code-first-inte…
Come join our Discord, we’d love to hear your feedback: https://discord.hypermode.com
Follow us on GitHub: https://github.com/hypermodeinc/modus
Modus docs: https://docs.hypermode.com/modus
Modus quickstart video: https://youtu.be/3CcJTXTmz88
Popularity: 20 points | 3 comments
URL: https://docs.relativistic.io/en/latest/
Author: d_watt
Description: I started a data consultancy 2.5 years ago, and set up a lot of vendors and tools for my clients over time.
I found a recurring theme: the best tools for them were often open source, but the overhead of deploying them was too high. Then 2 years down the road, they were paying 6 figures for vendors.
Kubernetes Helm definitions have become a defacto standard for these projects to release “production” quality configurations.
Relativistic pulls these together through a terraform interface with sensible defaults to make it easy to set up a rich set of tools both locally and in production.
This is still early on, and a lot of work needs to be done for a production grade 1.0.0 release. Especially around state management. What exists now is already helping my clients today, and is what I use for my own projects.
I’d love any feedback you have!
Popularity: 3 points | 0 comments
URL: https://glow.as
Author: alexpate
Description:
Popularity: 2 points | 0 comments
URL: https://www.princeofpaneer.com
Author: sauhardb
Description: All of my friends wanted my mom’s recipes when they came round for my birthday. Now I realised she doesn’t store anything - it’s all in her head!
Then the same thing happened with my friend although she writes hers down in a diary (how old school).
And then I noticed so many food influencers posting their recipes in the descriptions of their tiktok/insta posts.
And then as I started searching for recipes online, I found the websites full of ads and popups and terrible UI. I only cared about the ingredients and the method. So I created this, and have been having a lot of fun with it.
I hope to see up and coming food influencers using this as a platform directly to link with their social media posts, engaging and competing with an already interested audience.
Technical talk: Building a fullstack application so quickly and being able to publish all single handedly was a fantastic experience. The SEO is fantastic! My site ranks 1st on Google for related searches.
Edit: There are some links in the footer that may not lead anywhere. These are under construction.
Popularity: 1 points | 7 comments
URL: https://www.companionai.dev/
Author: lambda-research
Description: Companion is a free, open-source web app, featuring a Python REPL environment with an AI Tutor designed to support one’s learning and problem-solving in programming. I am leveraging the Hermes 3 405B model from Nous Research, hosted on Lambda’s Inference API.
It’s community-driven, 100% free, and open to all. I’d love your feedback and suggestions. Here’s a short video where I demo the tool: https://www.youtube.com/watch?v=4Plt_sh_cIg&ab_channel=Rahul
Popularity: 3 points | 1 comments
Author: horushe
Description: One Colorfle per day is not enough, try unlimited Colorfle.
Popularity: 1 points | 0 comments
URL: https://github.com/neondatabase/pg_session_jwt
Author: davidgomes
Description:
Popularity: 5 points | 0 comments
URL: https://github.com/oozzy77/nozyio
Author: oozzy77
Description:
Popularity: 1 points | 1 comments
URL: https://getroa.st/
Author: ardakaan
Description:
Popularity: 1 points | 0 comments
Author: dennis16384
Description: Hi HN!
I built Routing24 to make route optimization easier and accessible for small businesses and solo drivers.
With Google Maps, you can plan routes between a few locations for free, but it doesn’t support efficient multi-stop planning, handling multiple vehicles, or adding specific business rules like delivery time windows.
Many tools offer route optimization for around $30 per vehicle per month, but Routing24 provides it completely free. Optimization happens fully on the client-side, using your device’s resources instead of cloud servers.
The interface is simple for now: you can import/export using Excel, and there’s a web UI to edit and view imported data and optimized routes. Data is saved or uploaded anywhere, and one browser tab runs one optimization. Map data comes from OpenStreetMap, and the solver is built in C++/WASM, using public domain algorithms.
I’d love to hear any feedback as I keep developing it. Thanks, and I hope it’s useful!
Popularity: 34 points | 18 comments
URL: https://playrun.dev
Author: marvinified
Description:
Popularity: 1 points | 0 comments
URL: https://www.wobo.ai/
Author: serdaraksoy
Description: Hey HN,
I’m Serdar, and after getting laid off, I found myself drowning in job applications. LinkedIn, Dice, Otta and company websites were exhausting and demoralizing.
That’s why my friend and I created Wobo (wobo.ai) – an AI recruiter that automates the entire process. But Wobo goes beyond just matching keywords on your resume. We use LLMs and a series of specialized questions to create a detailed “persona” of you, capturing not just your skills and experience, but also your personality and how you approach different situations.
Here’s how Wobo works:
Gets to know you: We analyze your responses to reveal your work style, how you handle challenges, and what motivates you.
We find jobs that fit YOU: We go beyond basic skills matching to find jobs that really fit your personality and preferences. We even use a “similarity score” to see how well a job matches your profile. If it’s not a good fit, we won’t apply
Application questions: Wobo uses your “persona” to answer those personality-revealing questions in a way that showcases your best self.
We’ve been developing Wobo for over two years and have 14,000+ users. One user recently told us that Wobo gave him back the time to spend with his daughter – that’s exactly the kind of impact we’re hoping to make.
Think of Wobo as your personal job search assistant, working tirelessly in the background so you can focus on what matters most.
Have questions about Wobo? Ask me anything! I’m happy to answer them.
Popularity: 4 points | 0 comments
URL: https://github.com/theredsix/cerebellum
Author: theredsix
Description: Hey HN! I’m excited to show off Cerebellum, a new open-source tool designed to automate browser tasks using large language models (LLMs).
Cerebellum is an LLM-based AI agent that interacts with web sites using mouse and keyboard interactions, much like you would. So it works on web sites whether or not they have an API. The only requirement is that you use a Selenium-supported browser like Chrome, Firefox, or Safari. It’ll even work on Electron apps with a bit of setup!
Furthermore, Cerebellum is open-source! We’d love both your feedback and contributions. The GitHub repo is here: https://github.com/theredsix/cerebellum. And the license is MIT.
Currently, it uses Claude 3.5 Sonnet’s newly released computer use ability, but the ultimate vision is to crowdsource a high quality set of browser sessions to train an open source local model. Other than that, there is still a lot more work to do: Python SDK, supporting more LLMs, … So help is very welcome.
I’m eager to hear what you think!
— Han Wang
Popularity: 9 points | 1 comments
URL: https://yohasebe.github.io/monadic-chat/
Author: yohasebe
Description: Hi HN! I develop Monadic Chat, an open-source framework that connects language models to a Linux environment via Docker. It allows AI agents to execute code, run Jupyter notebooks, and perform web scraping in a secure, sandboxed environment.
Key features:
I built this because I needed a reliable way to let AI agents interact with a real computing environment while maintaining security and reproducibility. Some possible use cases include:
I would appreciate your thoughts on potential use cases, areas for improvement, and how to better characterize its features in the documentation.
You can check it out here: https://yohasebe.github.io/monadic-chat
Thank you for your feedback!
Popularity: 12 points | 2 comments
URL: https://incrediboxmustard.xyz/index.html
Author: frankmao
Description:
Popularity: 1 points | 0 comments
Author: Designandsubash
Description: My friend was struggling with understanding dashboard insights, so I built an AI agent that helps him talk with his database and get a better understanding of his data. Currently, it not only writes simple queries but also generates end-to-end reports and charts for visual understanding. If there is a problem or an insight that hinders growth, it identifies the issue and reports it instead of simply generating the charts. I built this as my side project. I’m not sure whether people want this solution, so I created a waiting list.
Popularity: 2 points | 2 comments
URL: https://www.scrapewebapp.com/
Author: sachou
Description: This is my story. Last year, I built a chatbot builder and ran it for a year. We needed to scrape many websites to train each AI on various websites.
My experience was:
- I started with my own Python scraper using requests, Selenium, and Beautiful Soup. It was okay at first, but then there were too many edge cases, and it wasn’t scalable…
Features: Retries Logins Scheduling AI prompt
Use Cases: Price Tracking LLM Training Lead Generation Competitor Monitoring News Collection SEO Tracking
That’s why I built [scrapewebapp.com](http://scrapewebapp.com) to handle retries, logins, background jobs, and scheduling. ScrapeWebApp API handles the complex parts of web scraping, so you can focus on building your product.
Please give it a try and I would love to know your feedback.
If you are a serious power user, I am happy to give generous credits for a 10-minute call about your use case.
Popularity: 2 points | 0 comments
Author: prism_wisdom
Description: Hi everyone! I’m excited to share that I am launching the MVP of a platform designed to simplify machine learning model building. If you’ve ever found yourself spending more time on setup, coding, or infrastructure than on building and optimizing models, this platform might be just what you need.
Here’s what I have released in MVP:
2. No Code, No Infrastructure Required.
3. Designed to be intuitive, regardless of your technical background.
I am looking for feedback on:
1. Workflow Simplification: Does this feel like it would streamline your work?
2. Key Features: Any must-haves or missing elements you’d suggest?
3. Overall Usability: Does it match your expectations for ease of use and functionality?
Try it Out: https://quasarminds.com/
I am eager to hear about your experiences, suggestions, and any challenges you face while using it! Your input will shape our next steps in making this platform as impactful as possible. Thank you for being part of this journey with us!
You can also submit your feedback on [email protected]
Popularity: 1 points | 0 comments
Author: shinjuku
Description: AI Powered transcription note taking app
Popularity: 2 points | 0 comments
URL: https://hackernewsbookrecommendations.com/posts/
Author: mjcurl
Description: There are so many great Ask HN threads asking about book recommendations, so I combined all of them and extracted the books mentioned in them.
I hope you find a good book! Feedback is welcome :)
Popularity: 3 points | 2 comments
URL: https://lighthouseapp.io/
Author: domysee
Description: Hi, I’ve been building Lighthouse for the better part of a year, and now seems to be a good opportunity to do a Show HN.
Lighthouse is a RSS feed reader, and also supports subscribing to newsletters.
It works really well for personal content curation, because differently from most readers, new content first arrives in the Lighthouse Inbox, where articles are either bookmarked (to move to library) or archived.
The assumption is that even if you subscribed to a feed or newsletter, it doesn’t mean you want to read everything they post. So an additional curation step helps keeping unwanted content out.
Would love to know what you think about it!
Popularity: 6 points | 1 comments
URL: https://github.com/automaited/automaited-python
Author: throwaway110
Description:
Popularity: 1 points | 0 comments
Author: vaibhavacharya_
Description:
Popularity: 4 points | 0 comments
URL: https://github.com/wscourge/togglecase
Author: wscourge
Description: I made a VSCode extension to toggle selected string(s) between camelCase, snake_case and kebab-case.
Works with multiple cursors. I use it on cmd/ctrl + ;.
Inspired by a similar extension to toggle between quotes (”/’/`).
Popularity: 1 points | 0 comments
URL: https://github.com/getmaxun/maxun
Author: krsma
Description: Hey Everybody,
We are thrilled to open source Maxun today.
Maxun is an open-source no-code web data extraction platform. It lets you build custom robots for data scraping in just a few clicks.
Maxun lets you create custom robots which emulate user actions and extract data, while handling dynamic parts like pagination and scrolling.
Maxun also lets you turn websites to REST APIs and Spreadsheets. We also support a feature called BYOP (Bring Your Own Proxy) which lets you connect your own anti-bot infrastructure and save huge $$$.
Would love to hear use-cases & feedback.
Github : https://github.com/getmaxun/maxun
Please join our community:
- Github : https://github.com/getmaxun/maxun
- Discord : https://discord.gg/NFhWDCdb
- Twitter : https://x.com/maxun_io
Thank you,
Team Maxun
Popularity: 3 points | 0 comments
URL: https://re-n-y.github.io/devlog/rambling/sae/
Author: dvrp
Description:
Popularity: 1 points | 0 comments
URL: https://s1.webapi.ai/article/132
Author: Mega4alik
Description:
Popularity: 1 points | 0 comments
Author: dave_xt
Description: -
Popularity: 2 points | 0 comments
URL: https://notetoos.netlify.app/
Author: codetoli
Description: Please tell your reviews
Popularity: 2 points | 0 comments
URL: https://github.com/Elata-Biosciences/newsbot
Author: wkyleg
Description: I created an open-source Discord bot that uses GPT-4 to aggregate and summarize the latest developments in mental health research, computational neuroscience, and precision psychiatry. It scans news sources daily and delivers concise summaries to Discord.
I would look feedback on integrating additional sources for this purpose or any suggestions on prompt engineering
Popularity: 4 points | 0 comments
URL: https://radio.cynthwave.com
Author: sohzm
Description: I wasnt able to find a site that streams NCS music 24/7 so I created one.
Frontend is static site on vercel and backend is written in Go and uses ffmpeg for dividing songs into chunks.
Lmk if you have any feedback :)
Popularity: 4 points | 6 comments
URL: https://www.swapyourvote.org
Author: waterproof
Description: This weekend I got looped in with this team that was working on a vote swapping initiative. This is where people in swing states (where votes matter more for the electoral college) agree to vote for Kamala, in exchange for people in “safe” blue states voting for their protest vote of choice. So a Free Palestine voter in Pennsylvania, agrees to vote for Harris if, say, 2 Californians agree to vote for Jill Stein (or whatever, I hope this can be a thread about technology and the electorate, not about politics).
The net result is that they can cast a vote against fascism in their home (swing) state It’s a weird hack, but it works.
After passing through a google sheets prototyping phase, and a phase where we thought we might fork the UK site (which funnily enough has the domain at swapMYvote.org), we decided our quickest path to scale was to throw something together with Fillout and Airtable.
I’m not a stranger to low-code, but I’m often a high-code guy, so it’s been an eye-opening process building something like this on such a short time scale. We had literally a dozen days between the first scalable-ish version, and the election. On one hand, it’s incredible to be able to schedule a new automated email, based on complex logic, in a couple minutes - the time it often takes me to deploy a single changeset. On the other hand, the testing tools aren’t quite what you need, to make sure you don’t break anything important. It also makes a big difference to your scaling speed when you have an outreach team that knows what they’re doing. We’ve gone from zero to oh-no-gmail-wont-let-us-send-more-emails in an incredibly short time.
Popularity: 5 points | 6 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