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Explore the hottest developer projects on Show HN for 2024-11-07. Dive into innovative tech, AI applications, and exciting new inventions!
Today’s content features various innovative projects shared by developers, including ASON, a strong JSON datatype; Beehive, an AI agent orchestration tool; and Zzz, a machine aiding lucid dreaming. Additionally, applications like AskLegal for crowdsourcing legal queries and Jamcorder for automatic piano recording are highlighted. Notably, BemiDB offers analytics solutions with Postgres compatibility, while InterviewShark addresses mock interview needs across hardware and software. The list also includes AI-powered tools for podcast insights, job matching, and personalized newsletters. These projects demonstrate creativity in addressing unique challenges across different fields.
URL: https://github.com/hemashushu/ason
Author: hippospark
Description: ASON is a data format evolved from JSON, featuring strong data types and support for variant types. It offers excellent readability and maintainability. ASON is well-suited for configuration files, data transfer, and data storage.
Popularity: 2 points | 0 comments
URL: https://github.com/BeehiveHQ/beehive-ai
Author: mtrivedi50
Description: Made primarily for interest/learning purposes. Feedback welcome!
Popularity: 2 points | 0 comments
URL: https://github.com/mirthturtle/zzz
Author: mirthturtle
Description: A machine for dreamers who need confirmation that they are sleeping in order to jailbreak the dream.
Anecdotally: since I built the prototype last week, it has succeeded twice!
Sweet dreams,
Christian @ Mirth Turtle
Popularity: 2 points | 0 comments
URL: https://asklegal.replit.app/
Author: dedpool
Description: I built a tiny app where people can ask and discuss legal information questions with jurisdiction tagging. Main features:
Clean UI focused on readability Federal/state jurisdiction filtering Community voting system Organized by categories No signup required to browse questions
Live demo: https://asklegal.replit.app/
Popularity: 1 points | 0 comments
Author: chipweinberger
Description: Hey HN!
A few years ago, I left my cushy big tech job to make hardware.
And made the device I always wanted - an automatic piano recorder!
I usually play piano improvisationally, and manually hitting record never meshed well with that. But there are always moments I wish I recorded, and now they are!
Hopefully it scratches a similar itch for some of you as well!
A few of the tech details:
- Chip
Popularity: 20 points | 4 comments
URL: https://github.com/nitrictech/nitric
Author: homelessdino
Description:
Popularity: 4 points | 2 comments
URL: https://www.turingmind.ai/
Author: vinaypanghal
Description:
Popularity: 1 points | 1 comments
URL: #
Author: dspiniak
Description: I built a daily newsletter that uses AI to monitor podcasts and youtube channels, and bring you the highlights from top-tier interviews and news in tech, business, leadership … and everything you like. Basically, in 5 minutes you can get the key insights over dozens of hours of top-tier shows.
Webpage here: https://aipodcastinsights.com/
I’m looking for early feedback into this concept. I wasn’t sure whether to post here since it’s a newsletter. But, this since this is a personalized newsletter with a fair bit of heavy lifting and lots of code to produce, I thought it was worth a shot.
For now, it only allows to subscribe to a subset of tech and business shows (due to AI gemini costs), but I also want to add functionality so users can pick their own shows and follow top shows within their interests.
Here’s a preview of what the newsletter looks like (today’s edition for my favorite podcasts, mainly on tech and business): https://docs.google.com/document/d/1ce_SKtzrlP9X593yMH3Thf7H…
To try it out, fill in this form and you’ll receive tech podcasts daily plus any others where there’s been a lot of demand: https://forms.gle/yXN1KySQdQqkfh2A7
More specifically, I’m looking for following feedback:
Thanks in advance for your feedback and comments!
Popularity: 1 points | 0 comments
URL: https://www.grapegpt.vin/
Author: camjw
Description: For the last three and a half years I was a cofounder of an ai startup and very (very) stressed, so I wanted to make a sort of fun meaningless low stress product. And I like natural wine. So I made GrapeGPT - it tries to find you a nice bottle of wine, hope you enjoy!
Popularity: 2 points | 2 comments
URL: https://draw.audio
Author: StreamGobbler
Description:
Popularity: 134 points | 49 comments
URL: https://isit.nyc/
Author: Shrugs
Description: Is it NYC [0] is a tiny project that interrelates global neighborhoods by their latent-space proximity to the lingua franca of urban vibes: NYC neighborhoods. “Nob Hill is Upper East Side meets Brooklyn Heights with a touch of East Village.” LLM-powered type-beat.
Plus, a map of every Williamsburg-core neighborhood in the world [2] (or any other NYC neighborhood for that matter).
All of the content is lazily LLM-derived from Claude 3.5 Sonnet.
The mapping is powered by protomaps, maplibre, and mapbox. app is next15, rsc, shadcn, cmdk, tailwind, vercel/ai and is on github [3] for browsing.
[0] https://isit.nyc
[1] https://isit.nyc/Nob%20Hill-dXJuOm1ieHBsYzpHaHJNN0E
[2] https://isit.nyc/like/Williamsburg
[3] https://github.com/shrugs/isitnyc
Popularity: 1 points | 0 comments
URL: https://github.com/RamboRogers/greeter
Author: RamboRogers
Description: This allows you to expand from person detection to Face and Sentiment via a docker container for your UDM Pro or Unifi Protect Source. Also works for any RTSP stream.
Popularity: 1 points | 0 comments
URL: https://www.triplechecker.com
Author: TripleChecker
Description:
Popularity: 4 points | 1 comments
URL: https://chromewebstore.google.com/detail/skipper-fewer-tabs-more-f/cjiinmicahhdcmfpdohhaahgkdiehfga
Author: popol1991
Description: I’m Kyle Gao, CTO and cofounder of Skipper. This product emerged from research done at Carnegie Mellon University about focus and browser design. People leave tabs open to serve as reminders or for quick access to things they want to get back to. But as the pile of open tabs grows, the browser becomes incredibly cluttered and tabs are indistinguishable from one another - failing to either remind or provide quick access as intended.
Skipper is a Chrome extension that automatically saves and closes unused open tabs, and then organizes them by topic and time used. We aspire to make manual organization frictionless and easy, and then leverage the user’s personalized organization system to extend it and keep it up to date on an ongoing basis using AI. That way, only the tabs you’re actually using are left open in your browser bar, so they actually are easy to get back to.
We are focused on “the ADHD entrepreneur” - this persona emerged from interviews with our early adopters. Those who are diagnosed with ADHD or who simply struggle with focus tend to appreciate the automatic decluttering the most as it prevents them from rabbit-hole-ing on the wrong thing unintentionally.
I am looking for feedback about whether Skipper fits into your workflow naturally without you having to change your own habits to get value from it. Give it a try and let me know what you think! You can also email me at [email protected]
Chrome store: https://chromewebstore.google.com/detail/skipper-fewer-tabs-…
Demo video: https://youtu.be/vlSK8w6i3Wc?feature=shared
Popularity: 2 points | 0 comments
URL: https://github.com/ayakovlenko/zit
Author: ayakovlenko
Description:
Popularity: 3 points | 0 comments
Author: dyloxim
Description: Many HN readers will be familiar with iterated functions system fractals. Famously, images of these attractors may be produced via a chaos-game process. This process is simple to implement thus making it a perfect candidate for a graphics programming practice project.
Interestingly, methods developed for ‘the inverse problem’ (inferring IFS parameters to approximate an input image) have been applied to create compression algorithms.
This project provides an interface for exploring the space of possible attractors visually and interactively.
Popularity: 1 points | 0 comments
Author: ahmednabi
Description:
Popularity: 1 points | 0 comments
URL: https://www.journable.com/
Author: stevehoyek
Description: Hi, I’m Steve and I’ve built this mobile app to solve my very long-standing problem of not consistently using any calorie tracking apps due to the poor UX (many clicks, too much friction).
So, although I am not the best UI/UX designer, I have tried to remove friction at every corner with Journable. This applies to the
1. Tracking experience: Chat-based interface (think ChatGPT) to log food/exercise 2. Onboarding experience: No login screen, no measurements or goals, straight to the main chat window 3. Photo entries: Just take a picture of your plate and done
That said, I’m not the best UI/UX designer so I would really appreciate any feedback on the app, and I welcome any and all comments & suggestions. Should I make it easier? Faster? Simpler? Does it need more color? Keen to hear it all!
Popularity: 5 points | 0 comments
URL: https://guestguardwaitlist.replit.app
Author: Eapper
Description: GuestGuard is a platform for recording and researching guest behavior, helping hospitality businesses—like hotels, resorts, and campsites—promote a safer environment through shared knowledge of potential guest issues.
Popularity: 1 points | 1 comments
URL: https://whichcountrytomoveto.com/
Author: Sontho
Description:
Popularity: 2 points | 2 comments
URL: https://reportmill.com/SnapCode/#JavaMarkdown
Author: jeffreportmill1
Description: I’ve been playing around with the idea of living documents with Java code. I found the notebook paradigm slightly frustrating and thought the markdown paradigm could be interesting.
This is very preliminary, but what do you think?
Popularity: 3 points | 0 comments
URL: https://github.com/BemiHQ/BemiDB
Author: exAspArk
Description: Hi HN! We’re Evgeny and Arjun, and we’re building a better way to do analytics with Postgres.
We love Postgres for its simplicity, power, and rich ecosystem. But engineers have to still get bogged down with heavyweight and expensive OLAP systems when connecting an analytics data stack.
Postgres is amazing at OLTP queries, but not for OLAP queries (large data scans and aggregations). Even in this case, we’ve still heard from countless scaling startups that they still try to use only a read replica to run analytics workloads since they don’t want to deal with the data engineering complexity of the alternative. This actually works surprising well initially, but starts to break for them as they scale or when integrating multiple data sources. Adding lots of indexes to support analytics also slows down their transactional write performance.
When growing out of “just use Postgres”, companies have to understand and wrangle complex ETL pipelines, CDC processes, and data warehouses — adding layers of complexity that defeat the simplicity that undermines their initial choice for Postgres as their data storage in the first place.
We thought there had to be a better way, so we’re building BemiDB. It’s designed to handle complex analytical queries at scale without the usual overhead. It’s a single binary that automatically syncs with Postgres data and is Postgres-compatible, so it’s like querying standard Postgres and works with all existing tools.
Under the hood, we use Apache Iceberg (with Parquet data files) stored in S3. This allows for bottomless inexpensive storage, compressed data in columnar files, and an open format that guarantees compatibility with other data tools.
We embed DuckDB as the query engine for in-memory analytics that work for complex queries. With efficient columnar storage and vectorized execution, we’re aiming for faster results without heavy infra. BemiDB communicates over the Postgres wire protocol to make all querying Postgres-compatible.
We want to simplify data stacks for companies that use Postgres by reducing complexity (single binary and S3), using non-proprietary data formats (Iceberg open tables), and removing vendor lock-in (open source). We’d love to hear your feedback! What do you think?
Popularity: 186 points | 98 comments
URL: https://vrts.app/
Author: steffenbew
Description:
Popularity: 1 points | 0 comments
URL: https://github.com/potpie-ai/potpie/blob/main/readme.md
Author: dhiren_m
Description: Over the last few months I’ve built a tool that breaks down your codebase into a knowledge graph, generates and stores inferences about the code with each node and provides tooling for agents to fetch graph structure, perform similarity search, fetch code etc in order to do engineering tasks.
My favourite thing about this is how easy it makes getting started with a new codebase that I have no context about. As a young engineer when I was trying to get into open source, it always seemed out of reach because the large codebases always scared me and documentation was not fun to read.
Use cases I’ve tried so far:
- Generating “Getting started” documentation for a project: I could not find any steps on how to build and test the AgentOps SDK locally. I’m more of a microservices guy, had never heard of tox or built SDKs. The tool was able to read the configuration files and tell me exactly how to build and run the tests [1]
- Generating a plan for changes to be made for a Github issue description - Tried this with the Portkey AI gateway and Signoz codebase where I picked up an open issue from the repo and tried to get the agent to tell me what needs to be done. [2][3]
- Understanding behaviour of a repo that is not documented - I was debugging a latency issue and noticed an evaluation task prompt in our LLM observability, our agents are built with CrewAI, but I could not find any reference to this on their documentation. Using the tool I was able to pinpoint where it was coming from and its purpose. [4]
I’m experimenting with new use cases everyday and trying to see what else is possible. How would you use these agents?
[1] Video: https://youtu.be/KonguA9PD80
Chat: https://app.potpie.ai/chat/0192dd3f-078e-753f-b5f8-00b724d9085e
[2] Video: https://youtu.be/XSZMtIawy5s Chat: https://app.potpie.ai/chat/0192c3ea-3dfa-7090-b5fb-3f3d50bbc301
[3] Video: https://youtu.be/N9wUI8h0f5w Chat: https://app.potpie.ai/chat/0193013e-a1bb-723c-805c-7031b25a21c5
[4] Video: https://youtu.be/FeTQhSBguf4 Chat: https://app.potpie.ai/chat/0193074b-5fec-7308-9158-67dbbf4cd516
Popularity: 4 points | 0 comments
URL: https://www.mynewsletterguide.com/
Author: Maxamillion96
Description: I built this because I love Substack’s content but kept drowning in newsletter subscriptions. Many great writers, but too many emails.
How it works:
Select your interests (tech, finance, art, science etc.) Choose reading preferences (short/long, daily/weekly) AI matches you with relevant newsletters Get one digest with curated highlights instead of separate emails
Tech stack:
React/Next.js frontend GPT API for content analysis and matching RSS feeds for newsletter ingestion Material UI for components Hosted on Vercel
Current features:
Smart newsletter matching Personalized daily digests Content length preferences Web interface for reading
Looking to add:
Better recommendation algorithms Topic clustering More granular interests Email delivery system
Would love feedback from the HN community, especially on:
What newsletter discovery pain points you face Features you’d want in a digest Recommendations for the matching algorithm
Popularity: 2 points | 0 comments
Author: danielsht
Description: Hey HN this is Daniel,
I’m excited to share Airtop with the community! Airtop enables AI agents to seamlessly browse and automate any website — even ones with complex authentication like MFA or OAuth. Whether you need to scrape, interact with dynamic content, or automate tasks across multiple browsers, Airtop’s cloud-based infrastructure makes it scalable and accessible.
Why Airtop? — AI-Driven Web Automation: Automate interactions with any site through natural language commands even if they include human-in-the-loop scenarios. — Authentication Ready: Airtop handles websites requiring authentication, allowing bots to perform complex tasks. — Scalability: Easily manage and deploy tasks, whether it’s one browser or a thousand. — Compliance: Airtop ensures your data is handled with the highest security, availability, and privacy standards, giving you peace of mind while automating sensitive tasks.
You can check it all out for free and play with our Studio (in the dashboard) to see how the API and prompts work.
I would love to hear your thoughts and feedback!
Popularity: 22 points | 8 comments
URL: https://www.vanity.services/
Author: thisismydesign
Description: Hey HN!
I’m a freelancer and having a non-gmail address helped me a lot.
But cool domains are expensive, and DNS setup is annoying to non-tech people.
I thought what if one person buys dev.com and sells a bunch of [email protected] email addresses? I think this can work, so I built it! Bought some domains too, not dev.com yet, but hopefully someday. :)
Currently, I have a few domains from which you can buy addresses. I would like to democratize this and build it into a service where anyone can offer their domain to be used as an email address provider. I think domain parking is a wasteful enterprise, like having a bunch of nice buildings and never using them. Let’s use them!
What do you think?
Popularity: 1 points | 0 comments
URL: https://github.com/neshkatrapati/folio
Author: neshkatrapati
Description:
Popularity: 4 points | 0 comments
URL: https://badparentingfree.com/
Author: horushe
Description: The game takes place in a small apartment where Ron, the game’s protagonist, face terrifying supernatural phenomena and at the same time try to protect his family from the red-faced man’s evil plans.
Popularity: 1 points | 0 comments
URL: https://github.com/PavleMiha/mlgarden
Author: PavleMiha
Description: I made this tool to get some better intuition on how neural networks/backpropagation worked, but I’m really unsure what to do with it now, so I’ve put it up on github, and I wrote a little primer on backprop and neural networks to showcase it.
Really curious to hear any thoughts you might have, or anything I got wrong in the write up!
Popularity: 5 points | 0 comments
URL: https://www.billableninja.com
Author: jamzi
Description:
Popularity: 6 points | 1 comments
URL: https://dashboard.avaturn.live/demo
Author: ekulianova
Description: Avaturn.live is a voice-to-voice AI assistant that lets you speak to an avatar in real time. We managed to reach <0.5 sec response time so that the conversation with an avatar feels more natural. Also what do you think about our lip sync? We were struggling a lot to reach our current level.
Initial use case we’re exploring: Automated product demos/sales, where the AI avatar can showcase features and answer questions in real-time.
Demo: https://dashboard.avaturn.live/demo You can try talking to an avatar about anything
Popularity: 4 points | 1 comments
URL: https://www.akuri.ai/live-demo
Author: vishalvshekkar
Description: Akuri is the fastest way to bring AI to your product. Provide your users with content generation AI on any text box in your product. Allow your users to get through adding long-form content quickly.
Popularity: 8 points | 2 comments
URL: https://agesense.netlify.app/p/landing
Author: codetoli
Description: Check it out
Popularity: 1 points | 0 comments
URL: https://natural-lifecyles.vercel.app/
Author: victor_bram
Description: Hi HN!
I recently built a simple tool called LifeCycles. It calculates the number of natural cycles – like sunsets, seasons, and full moons – you might still experience, based on your age and the life expectancy in your country.
I wanted to create a way for people to reflect on time and connect with nature in a more personal way. The project only took a few hours to build, but I’m excited about how it turned out and the discussions it’s sparked.
Would love any feedback, and happy to answer questions about the development process or future plans for the project!
Check it out here: https://natural-lifecyles.vercel.app/
Popularity: 1 points | 0 comments
Author: istefan
Description:
Popularity: 2 points | 3 comments
URL: https://regrets.io/
Author: luskira
Description: Yoooo HN,
I’m Lucas Schiavini and I built Regrets.io, a platform to share regrets and to let your inner curious child endlessly look for pros in cons in everything. It’s supposed to be simple and scrollable and a place for you to research anything you want and get easy pros and cons.
So why not just use reddit? I’ve been on endless reddit threads on posts to gather all the info I needed to buy my legion go, my remarkable tablet, my new macbook, and I’d really love to find all their info under one page, extra points if an ai can summarize the pros and cons from the user answers(regrets.io feature coming soon!!).
I made it much harder to create similar regrets like “going to college” and “going to university”. It’s still not perfect and the duplication is still possible if you try hard enough but those things are being fixed.
As of right now you can type in anonymous responses without an account and if you want a bit more features you can login and still leave anonymous responses if you choose to.
This is a project I built after I heard the idea on one of the my first million pods(thanks shaan) and I felt it was very interesting. I’m looking forward to build more features to help people move past their regrets and to overcome difficulties in their lives. I want people to feel like heros and like mentors on this website.
I’m posting here to gather feedback and if this resonates with you or you’re curious I’d love your feedback, ideas, and honest impressions.
[Check it out here](https://regrets.io), and let’s see if our shared experiences can help us all make better choices moving forward.
Popularity: 19 points | 6 comments
URL: https://github.com/ShreeshaBhat1004/Job-scout
Author: shreeshabhat043
Description: Job-Scout is a command-line tool designed to simplify the search for remote Machine Learning jobs. It aggregates job listings from Twitter and Hacker News and uses natural language processing to match these postings to the skills and experience in your resume. With an emphasis on remote ML, AI, and Data Science roles, Job-Scout ranks and recommends jobs tailored to your qualifications. The tool is customizable, allowing users to adjust search queries for specific job roles or internships, making it ideal for both experienced professionals and students looking for personalized job matches.
Popularity: 5 points | 0 comments
URL: #
Author: imcotton
Description: playground: https://dash.deno.com/playground/demo-short
This is a demo show case for the JSR package [1] that gives you a off-the-shelf Web App for URL Shortener that could deploy on your own cloud or locally.
100% JSR (i.e. npm free); 100% test coverage; no docs yet, please read the source code.
Auth support via Hono built-in middlewares, also example from https://sign-poc.js.org (Disclaimer: this is PoC project of mine, WIP).
Due to CSP, the Sign On button not working in playground preview pane (iframe), standalone [2] URL works fine.
---
[1]: https://jsr.io/@indirect/short
[2]: https://demo-short.deno.dev
Popularity: 2 points | 0 comments
URL: https://github.com/0x4c-quest/awesome-0x4c-social-media-monetization-glossary
Author: 0x4c-Quest
Description:
Popularity: 3 points | 0 comments
Author: sugusd
Description:
Popularity: 1 points | 0 comments
Author: ntkris
Description: Hey HN,
Today, we’re launching tile.run, an API that extracts structured data from unstructured documents (PDF, images, text) with support for custom schemas.
The Problem: Extracting data out of unstructured documents is surprisingly hard. We built tile.run while solving this for our product Kili (automation for invoicing/reconciliation). We found that getting to accuracy that is reliable enough for automation is challenging. Dense documents (e.g., lots of tables or line items) are even harder, and these are the most valuable to automate. After talking to other teams and developers, we found many other teams were after similar solutions.
Key Features:
- Multiple formats: PDF, JPEG, PNG, TIFF, plain text
- Custom schema support with nested objects/arrays
- Specialized in dense documents with tables
- Self-serve API - start extracting in minutes
Technical Details:
- REST API with simple JSON responses
- Robust error handling and validation
Coming Soon:
- Improved accuracy
- More file formats
- Self-hosting options
- Zero data retention mode
Links:
- Landing page: https://tile.run
- Documentation: https://tile.run/docs
I appreciate there have been a bunch of launches in this area recently, so wanted to address that head on as well:
- Clearly this problem is very valuable to solve but requires significant effort
- There are many ways to approach the same problem. For example, tile.run targets technical teams whereas other teams are solving this for business teams or specific functions (e.g. ETL).
We’re excited to hear your feedback on the product.
Popularity: 10 points | 5 comments
URL: https://github.com/chyanurag/nasm-enigma
Author: shortuname
Description: In case you didn’t know, Enigma was used during WWII to encrypt and decrypt messages by the Germans. I re implemented it in x86 assembly. I am learning assembly and thought this might be a good project! Please take your time to review it (it looks awful to me)
Popularity: 2 points | 0 comments
URL: https://chromewebstore.google.com/detail/chatgpt-toolbox/jlalnhjkfiogoeonamcnngdndjbneina
Author: superduper5551
Description:
Popularity: 1 points | 0 comments
URL: https://github.com/dbohdan/recur
Author: networked
Description:
Popularity: 2 points | 0 comments
URL: https://herit-app.breakai.ai
Author: ekusiadadus
Description:
Popularity: 1 points | 0 comments
Author: bykomeikz
Description:
Popularity: 1 points | 0 comments
URL: https://www.interviewshark.com/
Author: entrehacker
Description: Hello! I’m building interviewshark.com because I’m frustrated with how boring and price-gougey the other mock interview websites are.
I want a site where all engineers across many different levels and areas of expertise can advertise their skills on an easy to use online bulletin board, essentially. So that’s why I created InterviewShark. If you’ll notice, it’s a single page app, with no sign ups. I’m going to add search functionality and ratings in the future, to make it easy to find interviewers. But right now it does what I set out to build — easy, no nonsense, no signup mock interviews.
I targeted hardware first because that area is very underserved for mock interviews (I used to run this service in the past for https://chipdev.io). But I want to build out the software side. If you’re interested in earning a bit of extra cash, feel free to apply to be an interviewer. The onboarding is fast. If you’re not a good interviewer then I’ll probably have to kick you off, but I doubt that would be a problem for 99% of us.
Also I built out the interview platform myself too, to make this tool exactly how I wanted it: interviewshark.com/sandbox (sandbox version, no collaborative features). It’s a pretty simple tool (just websockets for collaborative UI elements + firepad for collaborative editor), but it has all that’s needed to do interviews.
Let me know what you think and how I can make this a better tool for the HW and software eng community :)
Popularity: 1 points | 0 comments
URL: https://chromewebstore.google.com/detail/yc-application-exporter/gckilipgkedghiganehniepfjnhlhaof
Author: filipeisho
Description: I’m applying for the W25 batch, and I wanted to share my application with friends for feedback. Since there wasn’t an easy way to do this, I built one myself.
Also, for anyone at YC reading this: could you consider changing the “Finish application” button to “Edit application”? I once spent 10 minutes searching for how to keep editing because I assumed “Finish application” meant submitting it.
Edit: I feel stupid, this has the same functionality as the preview application button, don’t install, I will remove it :joy:
Popularity: 4 points | 0 comments
Author: descri
Description: I wrote a free book (CC BY license) on software architecture. It classifies architectural patterns / system designs into groups according to their structure, so that each group features a specific set of goals and properties, as structure and function correlate. That results in a kind of inheritance for patterns, making it easy to learn them and even iterate over all the known architectures to analyze their properties. Any feedback and ideas on how to promote the book is warmly welcome!
Popularity: 7 points | 2 comments
URL: https://django-cotton.com/
Author: naveen_
Description:
Popularity: 6 points | 0 comments
URL: https://demos.themeselection.com/jetship-laravel-boilerplate/
Author: devsoul
Description: Launch your next SaaS products easily.
Popularity: 6 points | 1 comments
URL: https://www.tgdm.ai/
Author: rubeekrumpet
Description: Last year, I found myself endlessly scrolling through episode after episode, trying to find ‘that perfect clip’ to illustrate a meme idea.
I was frustrated because I couldn’t find the clip I needed, and it consumed countless hours of my content creation workflow. That’s why I built tgdm.ai—a website that provides instant access to a wide library of clips from your favorite TV shows and movies, creates funny and relevant meme texts using AI, and exports memes in social-media-ready formats.
What makes tgdm.ai unique is its combination of a massive video clip library with an AI meme text generator that truly understands the humor context. While the content library is currently limited, it’s growing steadily.
Give it a try, we would really appreciate your feedback!
Popularity: 2 points | 0 comments
URL: #
Author: vinaypanghal
Description: A couple of years ago, I noticed a gap in developer workflows. We have amazing tools for writing and shipping code, but understanding someone else’s code—especially in large repositories—often feels like solving a mystery without a map. What if there was an AI that could explain codebases as easily as a teammate would?
That idea led to TuringMind, an AI-powered code chat platform that helps developers onboard faster, explore unfamiliar repositories, and even triage vulnerabilities. It’s designed to be your go-to tool for understanding and reasoning about code—whether you’re debugging, reviewing, or just trying to figure out why the previous dev left a maze of if-else statements.
In late 2022, I started working on the foundation: enabling the AI to provide meaningful, context-aware answers to questions about code repositories. Over time, it evolved into a platform that integrates seamlessly with GitHub, analyzes repositories using LLMs, and delivers insights tailored to the way developers think.
Now, TuringMind is live and helping developers:
Answer complex questions about code dependencies and structure. Onboard to new teams or projects faster by understanding repository context. Triage vulnerabilities by reasoning about false positives and code impact. Next up is expanding TuringMind’s capabilities to automate even more tedious tasks, like triaging common CVEs or suggesting architectural improvements.
Let me know what you think of the idea! Are there pain points in your workflow where TuringMind.ai could help? Would love to hear your feedback or ideas for improvement.
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