Category: Try

Date: 11/30/2025

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Intro (0:00)

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Hey everyone, Alfred Nutile here, and welcome back to the channel! Today we’re diving into GitHub Trending – it’s episode #11, and we’re sifting through the hottest 25 projects that developers are starring and forking right now. Think of this as your curated cheat sheet to what’s bubbling in the open-source world. We’ll be looking at what’s useful for our community, folks building no-code/low-code solutions and experimenting with local LLMs. Let’s jump in!

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SyncKit (0:15) – https://github.com/Dancode-188/synckit

First up, we have SyncKit. This project looks like it’s aiming to simplify background task management for iOS and macOS. It makes synchronizing data easier. Not exactly no-code. But if you’re using something like SwiftUI to build a front end and need to handle complex background tasks, tools like this can be a lifesaver.

RepoMind (0:43) – https://github.com/403errors/repomind

Next, RepoMind. This is more interesting. It appears to be focused on analyzing GitHub repositories using AI. This is how you can find the projects that are built using AI. They use embeddings, a great technology to look at.

Vex (1:06) – https://github.com/CodeOne45/vex-tui

Vex is a cross-platform terminal file explorer. This isn’t a no-code solution per se, but it’s relevant. Imagine wrapping a powerful command-line tool like this into a no-code workflow.

runprompt (1:29) – https://github.com/chr15m/runprompt

Now, this is interesting! runprompt is a tool that helps you test and refine your LLM prompts. You can experiment with different models and see how your prompt performs. If you’re building agents or applications using local LLMs, a tool like this is absolutely essential.

Markdown Viewer (1:53) – https://github.com/xicilion/markdown-viewer-extension

Markdown viewers are crucial. You have to remember that if you are building documentation or just working in general.

beadsviewer (2:18) – https://github.com/Dicklesworthstone/beadsviewer

Beads Viewer. Not sure what this does.

Doraemon Paper Comicizer (2:44) – https://github.com/redreamality/Paper-Comicizer

Doraemon Paper Comicizer. This one is fun. Transforms pictures into comic book pages.

Pulse (3:09) – https://github.com/ds-horizon/pulse

Pulse is an animation app for mobile. Another way to make it a little easier on yourself if you use animation in your low code projects.

Claude Usage Tracker (3:35) – https://github.com/masorange/ClaudeUsageTracker

Claude Usage Tracker – Perfect for those of you who are working a lot with Claude for LLMs.

iMontage (3:59) – https://github.com/Kr1sJFU/iMontage

This is for the mac but lets you create montages easily. It’s good for social media and marketing.

MinerU-HTML (4:23) – https://github.com/opendatalab/MinerU-HTML

MinerU-HTML lets you extract structured data out of websites.

Web3 Decoder (4:47) – https://github.com/classicshi/web3-decoder

This decodes your web3 transactions

podcast-server (5:09) – https://github.com/hemant6488/podcast-server

podcast-server lets you create your own podcast server. Nice!

Voxel4D (5:32) – https://github.com/rtennety/Voxel4D

Voxel4D is a cool project. We should highlight that one!

LatentMAS (5:56) – https://github.com/Gen-Verse/LatentMAS

LatentMAS is an agent project that is interesting.

DSpico Hardware (6:20) – https://github.com/LNH-team/dspico-hardware

DSpico hardware is hardware for audio

FastRL (6:43) – https://github.com/mit-han-lab/fastrl

FastRL is reinforcement learning code.

SteadyDancer (7:06) – https://github.com/MCG-NJU/SteadyDancer

SteadyDancer makes videos and is worth taking a look at.

Go Memory Layout Visualizer (7:31) – https://github.com/1rhino2/go-memory-visualizer

This helps you visualize your go code.

Darwin (7:53) – https://github.com/ds-horizon/darwin

This is another animation project

Urlvy (8:19) – https://github.com/hoangsonww/Urlvy-URL-Shortener-App

Urlvy can shorten your urls

Sip (8:42) – https://github.com/bgibson72/start-page-v3

Sip can help you with your website.

Agent Commands (9:07) – https://github.com/mitsuhiko/agent-commands

Agent Commands is worth a look.

dns-honeypot (9:32) – https://github.com/tg12/dns-honeypot

If you want to build a honey pot this tool can help!

Smoothify (9:55) – https://github.com/DPIRD-DMA/Smoothify

Makes your graphics look smooth

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Outro

And that’s a wrap on GitHub Trending #11! Hopefully, you saw a few projects that sparked some ideas. Remember, the goal here is to see what’s possible and how these tools can fuel your own no-code/low-code builds, and your local LLM experiments.

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Don’t forget to like this video if you found it helpful, and subscribe to the channel for more news, reviews, and tutorials on the world of no-code, AI, and building for the future. And if you really want to support the channel, consider joining as a paid subscriber! You can find the link down below: https://www.youtube.com/channel/UC9Rrud-8CaHokDtK9FszvRg/join Your support helps me bring you this content every week.

Thanks for watching, and I’ll see you in the next one!

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Date: 11/30/2025

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Okay, here are some potential news segments based on the provided AI news video, tailored for the Alfred Nutile channel, focusing on low-code/no-code applications and local LLM implications. I’ll keep it concise and Alfred-esque!

Start with Ad Read

HubSpot’s Free Guide: Before we dive in, quick shoutout to HubSpot! Grab their free guide, “5 AI Tools to Make Your First Million.” Link in the description. Lots of opportunity out there for folks looking to build.

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Local LLM NEWS

1. Hunyuan OCR – Smarter Image Scanners:

• Summary: Tencent has a new OCR (Optical Character Recognition) model, Hunyuan OCR, that’s kicking butt.
• Why It Matters: OCR is a HUGE piece of making your data usable for AI. If we can get that information from the images around us, then local AI can be improved dramatically. And OCR is a key pre-processing step for many AI workflows.
• Link: https://hunyuan.tencent.com/vision/zh?tabIndex=0

2. Fara-7B – Agentic Computer Model

• Summary: Microsoft is testing something called Fara-7B. It is a model to help automate computer usage.
• Why It Matters: How can that help you? Think about being able to automate more of the tedious tasks in your computer and give them to AI!
• Link: https://www.microsoft.com/en-us/research/blog/fara-7b-an-efficient-agentic-model-for-computer-use

3. DeepSeek Math V2 – Local Math Whiz:

• Summary: DeepSeek released version 2 of their Math model.
• Why It Matters: For local LLMs, math capabilities are still a challenge. Imagine the possibilities for custom data analysis, reporting, or even automated financial dashboards built with no-code tools, all powered by local AI! This could be huge for specialized industries.
• Link: https://huggingface.co/deepseek-ai/DeepSeek-Math-V2

General AI News to Note:

4. Flux2 – UI

• Summary: New tool to build UIs for AI.
• Why it Matters: Very similar to Thesys from above.
• Link: https://bfl.ai/blog/flux-2

5. Claude Opus 4.5 – Faster, Smarter Claude:

• Summary: Anthropic dropped Claude Opus 4.5, promising big performance gains.
• Why It Matters: Everyone’s favorite AI helper is getting a big upgrade. Could this mean better integration with your no-code tools via APIs? We’ll have to wait and see, but faster models always open doors.
• Link: https://www.anthropic.com/news/claude-opus-4-5

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Date: 11/28/2025

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Alright, let’s dive into some news from the backend world, specifically for those of us building with no-code or low-code. Xano, a name you’ve likely heard if you’re in this space, just launched Xano 2.0.

Date: 11/26/2025

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Alright, let’s dive into some local LLM news, and this one is a big one: Liquid AI just dropped LFM2-VL! This feels like a real turning point for local AI.

Summary: Liquid AI has released LFM2-VL, touted as the world’s fastest and best-performing open-source small foundation model. The key point here? It’s designed to run directly on your phones, laptops, even wearables.

Key Points:

• Blazing Speed: They’re claiming up to 2x faster inference than competitors.
• Device-Aware Efficiency: Designed to run efficiently on resource-constrained devices.
• Impressive Benchmarks: Rivaling much larger, closed-source models, all while running locally.
• Open Source: This is huge for accessibility and community development.

Why It Matters:

LFM2-VL isn’t just another model; it’s proof that advanced multimodal AI (we’re talking vision and language) can now run offline, privately, and efficiently on the devices people already own. This is what we’ve been waiting for! The potential applications are enormous: smart cameras, offline assistants, and so much more, all without relying on the cloud. This release from Liquid AI could really shift the AI industry off the cloud and into our pockets. This is amazing news for no-code builders looking to embed AI directly into user experiences.

Date: 11/24/2025

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Okay, let’s talk AntiGravity, Google’s new AI IDE. I saw BetterStackHQ, specifically on YouTube (channel: BetterStack), did a video on it, and, yeah, “interesting” sums it up. They highlighted some cool ideas, some rough edges, and what they called “questionable choices,” and I think that’s a fair assessment.

Let’s break down what makes AntiGravity newsworthy.

What AntiGravity Is:

It’s a cloud-based IDE pushing the boundaries of AI integration. It promises to help you build, test, and deploy apps faster with the help of AI agents.

BetterStackHQ Breakdown:

• Agent Manager: BetterStackHQ shows the power of this. Allowing for agents to be created, and deployed in your IDE.
• Browser Agent: A cool feature they demo is the Browser agent which can do Browser tasks and work inside of your IDE
• The Bad: This is where BetterStackHQ, started seeing some issues with the IDE.
• Security Issues: The video highlights pretty big security concerns around the data it holds in your ide
• Performance: Then they talk about the performance of the IDE.
• Final thoughts: Giving their honest opinion on the IDE as a whole

Why This Matters for No-Code/Low-Code Builders:

AntiGravity is attempting to redefine how we build software, and even though it has some rough edges, it’s a glimpse into the future. Features like Agent Manager and Browser Agent, if refined and secured, could significantly reduce the time and effort required to build complex applications. The generative UI api with Thesys is also a game changer. Also I think it is important to note that the Thesys generative UI api is what is powering anti-gravity. I think these integrations with companies, might be an advantage that anti-gravity and bubble or zapier have that lovable doesn’t.

The Takeaway:

Keep an eye on AntiGravity’s evolution. Even with its current drawbacks, it represents a significant step towards AI-assisted development and is worth watching for its potential impact on the no-code/low-code landscape.

Link: https://antigravity.google/

Date: 11/24/2025

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Alright, welcome back to the channel! Today, we’re diving into how to supercharge your home lab. I’m talking about 15 Docker containers that will instantly make your life easier and your lab more powerful, even in late 2025.

We’re covering everything from monitoring and automation to networking, security, backups, dashboards, and even DevOps. We’ll be looking at awesome tools like Dozzle, Watchtower, Pulse, Komodo, Netdata, Uptime Kuma, Bitwarden, Homer, Mailrise, NetBox, and a whole lot more. I’m going to show you how they all work together to build a killer home lab stack, whether you’re running Proxmox or any other Docker host.

Before we jump in, I want to remind you about the big home lab share and giveaway! Head over to the VHT forum (link below) and share your 2025 home lab build for a chance to win a surprise giveaway before the end of the year. I want to see what you guys are working on! The forum post with the details is at virtualizationhowto.com/community/home-lab-pics/best-home-lab-server-pics-and-gear-in-2025/.

Okay, let’s get to those containers! Here’s a quick rundown of what we’ll cover (with timestamps so you can jump around):

• 0:00 Intro and what this video covers
• 0:56 2025 home lab share and giveaway details
• 1:24 Dozzle real time Docker log viewer
• 2:09 Watchtower automatic Docker container updates
• 3:14 Pulse monitoring for Proxmox and Docker in one place
• 4:03 Komodo all in one Docker management and observability
• 4:48 Netdata zero touch monitoring and cloud console
• 5:54 Uptime Kuma simple up or down checks and status pages
• 6:38 Bitwarden self hosted password and secrets manager
• 7:12 Homer home lab start page and launcher dashboard
• 7:51 Mailrise SMTP to modern notification bridge with Apprise
• 8:35 NetBox source of truth for racks, IPs, VLANs, and devices
• 9:13 Nginx Proxy Manager easy reverse proxy and HTTPS for containers
• 9:41 phpIPAM IP address management for home lab networks and VLANs
• 10:14 Duplicati backups for Docker volumes and lab data
• 10:41 Pi-hole DNS level ad blocking, telemetry filtering, and malware protection
• 11:17 Gitea self hosted Git, DevOps workflows, and future native CI
• 11:59 Building a complete home lab stack with these containers
• 12:52 Final thoughts and what to try next in your lab

(Then go into detail about each container)

So, as you can see, these containers cover a wide range of home lab needs. By combining them strategically, you can build a robust, automated, and well-managed home lab environment. Don’t forget to check out the blog post linked below for more details and configuration tips. And most importantly, share your 2025 home lab builds in the forum for a chance to win that giveaway! Thanks for watching, and I’ll see you in the next video. Don’t forget to subscribe and hit that notification bell!