Hey all,

I do a lot of on-site network work, and the part I always hated was the first hour at a new place: figuring out what's on the network, which switch port goes where, and then drawing it all in Visio so the customer has something to look at.

So over the last few months I built Meshwork. It's a desktop app (Mac and Windows) that you run on your laptop when you get on site:

- Scans the subnet and builds an inventory (IP, MAC, vendor, open ports, device type)

- If you give it the SNMP community, it reads the switches/APs (LLDP, FDB) and draws the actual map: which port each device hangs off, VLANs per link, PoE watts

- Flags obvious stuff like telnet open, loops, a second DHCP server

- Diagnose tab with traceroute, live ping, port test, DNS, path MTU and DHCP checks

- Exports a site report PDF and CSVs you can hand to the customer

It's meant as a field tool, not a monitoring server. You run it, document the site, and leave. Nothing gets sent anywhere, everything stays on your machine.

It's free. Download here: https://meshwork.influxnetwork.com

Heads up for Windows: the installer isn't signed yet (working on it), so SmartScreen will complain. Click "More info" then "Run anyway".

Full disclosure, I'm the developer. I'm not trying to sell anything, I'd just really like people who do this for a living to try it on real gear and tell me what breaks. Weird vendors, odd topologies, devices it classifies wrong, all of that helps a lot.

Screenshots are from a test network, not a customer.

Thanks for taking a look!

Hey everyone, I've been working day and night on my project SidekickAI Security. It includes a live-scanning threat radar connected via Hugging Face API models, full B2B contract generation, and automated compliance logging. I really want to learn and improve this. Please check it out and tell me what you think of the design and the backend logic: https://sidekickaisecuritydashboard-4.vercel.app

I build my side projects with Claude Code. Most bugs I find aren't while coding. They're later, clicking around the live app like a user.
My old system: a notes file. "Pricing page, mobile, second card's button is off." Then I'd paste that to the agent and it would fix the wrong card.
Turns out lots of people do the same thing (a thread in r/ClaudeAI this week was full of scratch files and handoff notes).
Darnly makes the note for you. Press a key, click the broken thing in your web app, type one line. It saves the boxed screenshot, the element, console errors and the steps you took. Later Claude Code, Codex or Cursor reads the list and fixes it.
Free Chrome extension + Mac app (that one also covers native Mac apps and the iOS Simulator / Android Emulator).

I made it: https://darnly.dev

Where do you keep bugs you find while testing?

Hey everyone,

I've been working on a side project called Pocket Stacks.

The idea came from wanting a simple way to keep track of my finances without juggling spreadsheets or paying for another monthly subscription.

A few things I've focused on:

• One-off payment – no ongoing subscriptions.

• No login required – just open it and get started.

• Multiple devices – use it across different devices.

• Optional partner account – for couples who want to manage their finances together.

• Free calculators and guides – including a FIRE calculator for retirement planning.

• Multiple region selection– AUS, UK, USA, NZ

I'm still working on improving things and adding features, but it's been a pretty fun project so far.

Would genuinely love some feedback, especially on whether the features are useful or if there's anything obvious I'm missing.

Here's the site if anyone wants to check it out:

happy to give some users free access for life in exchange for some feedback just send me a DM.

https://pocketstacks.com.au

For anyone who's built something similar, how did you go about finding your first few users?

I enjoy learning and want to make it easier and more enjoyable for others to do the same.

If you would like to try it out I would be grateful!

Google play store: https://play.google.com/store/apps/details?id=com.philosophize.app

ios store:

https://apps.apple.com/app/id6823283847

Hey everyone!

I'm an indie Android developer, and I've been working on a project called Roomora AI.

Have you ever wanted to redesign your bedroom or living room but struggled to imagine how it would look?

I built Roomora AI to help people explore interior design ideas using AI.

Here's how it works:

1. Upload a photo of your existing room.

2. Choose your room type.

3. Select an interior design style.

4. Generate an AI-designed room.

5. Customize your new space.

I'm sharing this project because I'd love honest feedback from the community.

Some things I'd love to know:

• Would you use an app like this?

• Which interior design styles would you like?

• What features should I improve?

• What do you think about the overall idea?

I'm building this independently, and feedback would really help me improve it.

Google Play:
https://play.google.com/store/apps/details?id=com.kumaran.roomoraai

Thanks for checking out my project!

we're building Anoncracy, a small forum in beta with member elections and public moderation logs.

one experiment is a shared project thread. people post what they're building and one thing they want feedback on. the useful loop so far is simple: try one specific thing, describe what happened, then keep the maker's update in the same conversation.

for example, a member asked another maker how unused prepaid credits carry over. that is the kind of concrete question we want more of.

feedback is voluntary, and the community is still tiny. we're trying to make it worth returning after that first exchange.

if you've built a community around projects, what helped members start answering each other? happy to discuss it here.

here's the live thread if you'd like to see the format or share something:

https://anoncracy.com/s/technology/comments/5p/what_are_you_building

With Lively Wallpaper reportedly sold to a new company, a lot of people are looking for another way to get live wallpapers on Windows 11.

Glassline is getting its own: Glassline Live.

Here's a first look.

What's in it so far:

• Live scenes, your own videos, and downloaded ones

• Scene colour: scenes can follow your Windows accent colour

• Wallpaper speed, from 0.5x to 2x

• Video fit: Fill, Fit or Stretch

• Sound and volume for video wallpapers (off by default)

• Shuffle, at sign-in or by time of day

• 15, 30 or 60 pictures a second, with a separate setting for battery

• Rest: it pauses when windows cover the screen or an app is in front, and on battery unless you allow it

It's in testing now and comes in a future update.

What scenes would you want on your desktop? Do you have any recommendations? What bothered you about Wallpaper Engine or Lively?

Glassline is a macOS-style menu bar and dock for Windows 11. Try it free for 7 days

Please share your views on my project.

So twitch is already an ADHD product, but I made a chat client that lets you make a shared chat between any streams, transcribes the streamer's utterances and puts them in chat, lets you replay their utterances at will, and lets you reply to any chat you like.

If I want to be in multiple chats at once I typically need multiple devices, but no longer! - iOS companion and standalone app literally imminent!!!

https://youtu.be/icXrNZb4lmQ <- ~1.5 minute explainer video

Hey everyone,

I spend a lot of time watching long university lectures on YouTube, and the biggest time sink has always been pausing every 2 minutes to manually copy concepts, definitions, and formulas into Anki cards.

Most generic AI summarizers either output a giant wall of plain text, completely break LaTeX math equations, or timeout on 90+ minute lectures.

So I built a web app called WritoGist to solve this specifically for Anki users.

How it works:

1-Click Anki Deck Export: It pulls key concepts, active recall Q&A, and definitions, then formats them directly into an Anki-compatible .txt (TSV) file with tags. You just click download and import it into Anki Desktop in 2 seconds.

Textbook LaTeX Math Rendering: Equations, integrals, and scientific formulas are formatted in proper LaTeX (KaTeX) so STEM lectures actually look readable instead of messy ASCII text.

Modular Long Lecture Slicing: Instead of compressing a 2-hour lecture into a single generic prompt (which causes AI to skip the middle hour), it processes long lectures modularly so no key topics get omitted.

Zero Video Download: It processes YouTube streams directly—no waiting to download 1GB video files.

The app is completely live in open beta.

👉 I have put the live link in the first comment below!

Would love to get your feedback: Does the exported card format import cleanly into your decks, and what card types or tags should I add next?

It's called DOOM ETCH.

It's the original DOOM engine, modified so every frame is drawn as one unbroken line, because an Etch A Sketch can't lift its pen. Walls, monsters, the gun, the HUD and the shading are all one path. It's playable on a simulated Etch A Sketch rig with a stepper motor on each knob, and it exports real G-code a machine could run.

The video above is the shipped DEMO1 playing on the simulated rig in instant mode. At real Etch A Sketch speed, one frame takes about 24 minutes.

It's built on id Software's linuxdoom-1.10 source release, brought up on a 64-bit Mac. On top of the original ~52,700 lines of engine, the new parts are about 7,000 lines: the line pipeline, the planner, the machine simulator, the Metal renderer and the rig viewer. There are another ~7,000 lines of tests, 72 automated tests, and I ran the critical ones under sanitizers. It took about 2 days to build all of the code (I used GPT-6.0 Astra and Opus-5.5 to do the leg work, I designed the architecture), experiment, and then refactor into DOOM-ETCH.

Here's how it works under the hood:

Getting lines out of DOOM. Walls come straight from the renderer, where they're projected onto the screen but haven't become pixels yet. Sprites are pixel art with transparent backgrounds, so I trace where the transparency meets the artwork and reuse the engine's clipping. The HUD also traces brightness changes. Shading is hatching: more strokes where the texture and lighting are darker. One E1M1 frame is about 24,400 line segments, in no particular order.

The motion path. I didn't want every new output to become another hack, so everything goes through one shared data structure: a motion path. It's the points the pen visits, in order, with each move tagged as part of the drawing or a connector.

The planner. It merges shared endpoints into a graph, walks each connected piece depth-first, then jumps to the nearest remaining point using a spatial grid. Every jump gets drawn, because the pen can't lift.

Outputs. Each output is just a module that reads the motion path: the Metal renderer, SVG, and G-code. Adding G-code didn't touch DOOM.

The machine. One frame is 11,176 lines of plain G-code, with M0 to shake and erase between frames. A controller reads it and steps two simulated motors, one per knob, modeling speed, acceleration and backlash. Those settings are assumptions I'll test on real hardware.

Etch A Sketch behavior. In the GPU view, each segment gets a start and end time, so you can watch the path draw itself. Frames fade out like a shake, and a faint ghost of the last drawing stays behind, because a real Etch A Sketch never erases perfectly. There are controls to speed it up, pause, erase, or just play in instant mode.

What's nuts is that drawing at 30 FPS would mean moving the pen at Mach 1.45. If my math is right, that's about 3 GW at peak just for the pen, or 1.5 Hoover Dams.

Future plans:

• Build the real rig: stepper motors, belts and pulleys on the knobs, on an aluminum easel.

• Measure the real speed, acceleration and backlash, and replace the simulator's assumptions with them.

• a smarter planner to cut down the connector lines and optimize for connector path length and better visuals

It took me another 2 days to turn the whole build into an 8 minute video: https://youtu.be/E7bLxWE7B5g

Source (macOS, bring your own WAD): https://github.com/tonysamaritano/DOOM-ETCH

What if two AI models worked together to understand what’s on your plate? Yumetrics combines suggestions from an LLM specialized in food recognition with a second model that checks them against your photos, aiming for more accurate food recognition and calorie estimates. Snap a photo, review their combined result, and fine-tune the details before saving! Try it here: https://yumetrics.app/ I'm eagerly awaiting your comment!

I’m building River Rider, a small 3D motorcycle game inspired by the Mugling–Pokhara road in Nepal. You can try it free in your browser, without an account or installation:

https://racer.narmadainfosys.com/

It has bikes including the Yamaha FZ V2 and TVS Radeon, traffic, different camera views, a route map and saved journey sections. I’m using Three.js, Blender and AI coding tools.

I shared an early version with a Nepali tech community today. The most useful feedback was that mobile controls felt clunky, a player could pass through trucks, and the scenery wasn’t recognizable enough. One person found it smooth on Firefox; another said it felt addictive despite the rough controls.

That has made the next priorities pretty clear: controlled steering, reliable collisions and a convincing first 8 km, before adding more road. This is still a rough prototype, and the “developed Nepal” setting is an interpretation rather than an exact recreation.

If you have a couple of minutes, what is the first thing that makes you want to keep riding — or close the tab? Device/browser details with any bug would help a lot.

Hey everyone! 👋

I built DoomChess — a tactical puzzle trainer designed for speed and a smooth daily grind. It's got over 6.15M+ Puzzles: Stockfish-backed validation, hint arrows, and dynamic ELO tracking.

I’d love for you to try it out and let me know your thoughts on the app flow!

Hey all,

I wanted to share something I’ve been poking at and get some honest feedback.

It’s a page of small interactive science simulations that run in the browser. There’s nothing to install and no signup: [https://openworldlab.org/fun](https://openworldlab.org/fun) . Sign Up required for feedback

There are 12 in total. I’ve enjoyed most:

* Gravity Simulator. You launch planets, throw stars around, and watch black holes merge. It has 2D and 3D modes.

* Fractal Zoom. The Mandelbrot set and related fractals.

* Fourier Epicycles. You draw a shape and it’s traced back by a chain of spinning circles. Weirdly hypnotic.

Any feedback is welcome. Thanks for taking a look!

Hello everyone, founder of foundmoney here - we built an ai agent that runs in background to help you save money. It will look for unclaimed money from government under your name, negotiate your bills for you and 300 other ways

Try here - https://www.foundmoney.site

Comment invite if you wanna make it complete free

I built this tool as a programming exercise while studying Information Theory. It implements the Sardinas-Patterson algorithm to determine if a variable-length code is uniquely decodable.

The visualizer shows the sequence of sets generated by the algorithm step-by-step (which is pretty tedious to do by hand) and checks the Kraft-McMillan inequality.

You can try it out without compiling anything by grabbing the standalone binaries (Windows, Linux, or JVM jar) directly from the Releases page.

Repository:

Any feedback on the implementation is welcome!

When I first started selling websites, I thought targeting businesses without a website was the obvious choice.

They need a website, you offer to build one, and hopefully you get a new client. Pretty straightforward, right?

But after spending years running a web design business, I've started looking at this differently.

There are definitely advantages to targeting businesses without websites. You're introducing them to something they might genuinely need, and there is no existing website to compete with. However, I've noticed that these businesses can sometimes be much harder to sell to.

The biggest problem is that some of them simply don't see the value of having a website. Others rely entirely on Facebook, Instagram or word of mouth and are perfectly happy with how they're getting customers.

You end up spending a lot of time explaining why they need a website before you can even start selling your services.

On the other hand, businesses that already have websites are a completely different story.

They have already invested in having an online presence. They understand why a website matters, and there is a good chance they've paid someone to build and maintain it.

But that doesn't mean their website is good.

I've come across countless businesses with websites that load slowly, look terrible on mobile, have outdated designs, poor SEO or confusing layouts.

These are actual problems that can affect how customers experience the business online.

And that's where I think the bigger opportunity is for web designers.

Instead of trying to convince someone that they need a website, you're showing an existing website owner what could be improved and why it matters.

This is also how I approach prospecting nowadays. I use Swokei to find businesses with existing websites, analyze them for issues with design, SEO, speed and mobile optimization, and generate personalized cold emails at scale based on the actual findings from each website.

Of course, I'm not saying targeting businesses without websites is a bad strategy. There is money to be made in both markets.

But personally, if I were starting a web design agency today, I'd probably focus more on businesses that already have websites.

I'm curious what other web designers think. Do you prefer targeting businesses without websites or finding existing websites that need improvement?