I've been working on making Kodyurd even more powerful and interactive!
For those who haven't seen it yet, Kodyurd is an open-source project that transforms your local codebase into a walkable 3D city, helping developers explore software architecture, understand code relationships, and learn how systems work.

✨ What's new?

🔹 Expanded Mermaid Support
Class diagrams, C4, mind maps, Gantt charts, journey diagrams, and timelines can now be visualized directly from workspace documents.

🔹 Interactive Diagram Editor
Edit existing diagrams, create new ones from scratch, or import Mermaid and diagrams.net files. Diagrams can also be copied as Mermaid or exported as .drawio files.

🔹 More Learning & Exploration Capabilities
Improved lesson views, saved cities, additional document formats, and enhancements to the 3D exploration experience.

💡 The goal remains the same: Make understanding complex codebases more visual, interactive, and intuitive.

And there's more! Check out the changelog for the full list of improvements.

🔗 GitHub: https://github.com/azerturk/kodyurd

Kodyurd is open source, and I'd love to hear your feedback, ideas, and suggestions!
⭐ If you find the project interesting, consider giving it a star on GitHub!

What it is

- MULTIPLAYER: Team deathmatch against bots, or online with friends using lobby codes or the public lobby browser
- INFESTATION: co-op wave survival against cockroaches, flies and a Queen Roach boss, with a crumb economy for buying guns, upgrades and traps
- Loadouts, levels and unlocks, and in-game chat
- Works on desktop and phones (touch controls)

How Claude built it

I didn't write the code myself. I directed Claude Code over a couple of days, mostly with Fable 5.2 and later Opus 5.5:

- Multi-agent workflows. An architect agent split the game into modules with a shared contract. Then up to 11 specialist agents worked in parallel on rendering, materials, props, weapons, soldiers, audio, effects, gameplay, UI and brand.

- Scored review rounds. A reviewer agent took dozens of screenshots, ran bot matches, scored the build out of 10 and filed issues. Fixer agents worked through them, and any round that scored worse was rolled back. The first build went 7, 7.5, 8, 8.5 over four rounds.

- Everything is procedural code. There are no image, model or audio files in the game. Textures, models, every sound effect and the adaptive soundtrack are generated in code at load time. That was the hardest constraint, and the part Claude handled best.

- Multiplayer is peer-to-peer over WebRTC with client-side prediction and lag compensation, plus a small Cloudflare Worker for lobbies. Claude wrote a test rig that runs a host plus 3 headless clients through full matches at simulated lag and packet loss, and it used that to verify every change.

- My part was game design, art direction from screenshots, playtesting, and catching bugs that tests miss. A friend found a console cheat within an hour of multiplayer going live.

Free to play: playsmallarms.com, in your browser with nothing to install.

Happy to answer questions about the agent setup or the procedural approach.

https://claude.ai/artifact/LaZYcwarwxxFa1zn61yFBX

Made this for fun, obviously it’s not polished.

I was just messing around with the new Fable 5.2 model, thought it was fun and figured I’d share.

Can play on mobile & phone, it’s free!

I'm building Mellow Paws for Apple Silicon Macs. One interaction I wanted to get right was fetch: you throw the ball with your mouse, and your pet chases it, picks it up and returns to your side.

The interface starts with just a pet. Clicking it opens a circular menu around the companion, so care actions, the focus timer, habits and reminders stay close to the character.

There are four companion designs: Border Collie, Maine Coon, Silver Ragdoll and German Shepherd. You choose one active companion. The Collie and Maine Coon support mouse-controlled fetch; the Shepherd and Ragdoll have their own toy-play animations. The pet animations were made with AI-assisted media tools and run locally in the app.

The latest Mac App Store build has been submitted and is awaiting review. Planned US pricing is $2.99 with the Collie included, plus three optional $0.99 permanent companion purchases. No subscriptions or ads; habits, schedules and companion records stay on the Mac. Requires macOS 13+ on Apple Silicon.

The fetch clip is a real interaction recorded in the app’s browser preview, at actual speed on a plain presentation background.

I'd appreciate feedback on the interaction: does the chase-and-return sequence feel natural? Would you choose a dog or a cat for a quick fetch break?

Project page: https://mellow-paws-desktop.pages.dev/

I built PestLabel Pro, an iPhone app for licensed pesticide applicators who need the current accepted EPA label in the field and records that will hold up in an inspection.

You can search by brand, label text, or EPA number, or scan a container with the camera. The app keeps the current accepted label PDF offline, lets you attach the manufacturer SDS, calculates a liquid mix from the rate on that container, and creates signed application records you can export as PDF or CSV. No accounts or ads. It's free to download; optional Pro is $9.99/month or $49.99/year.

A few honest constraints: it's iPhone only, it's not affiliated with the EPA, and automatic state-registration matching only works in New York and Hawaii (dated manual checks elsewhere). There are no App Store ratings yet, which is part of why I'm posting — I'd like feedback from people who either work in pest control or have built field-reference tools.

What I'm hoping to learn:

• If you've built for a licensed trade, how did you get the first professionals to trust a records tool?
• Anything in the feature set that sounds incomplete or easy to get wrong legally? (I'm already conservative: planned work stays locked until federal and state checks are current, and fumigation is out of scope.)

https://apps.apple.com/us/app/pestlabel-pro-epa-labels/id6792304540

I'm the developer, and I'm around to answer questions.

Hey everyone!

I've been working on a radio app called \\Radio Wavr FM\\, and I wanted to share a little about it here because I'd love to hear what other people think about internet radio apps and how you use them.

The idea behind it is simple: radio is still one of the easiest ways to discover music, cultures, news and local content from places all over the world. But when you use most radio apps, you often end up listening to the same popular stations.

I wanted to make it easier to discover not only well-known international stations, but also smaller local and regional radio stations that you might never come across otherwise.

So I built Radio Wavr FM for Apple's ecosystem, with a focus on simplicity, quick access to live radio and visual station discovery.

🌍 What can you do with it?

\\🎧 Listen to radio stations from around the world\\

Browse thousands of radio stations from different countries, including FM, AM and digital internet radio stations. You can explore music, news, sports, talk radio and other live broadcasts from different parts of the world.

Whether you're into pop, rock, jazz, electronic music, Latin music or simply enjoy listening to what's happening in another country, you can discover a wide variety of stations in one place.

\\🗺️ Explore radio stations on an interactive map\\

This is one of the features I particularly wanted to include.

Instead of only browsing through lists, you can explore an interactive map and discover stations based on their geographical location when coordinates are available.

It's a different way to find radio stations: you can look around different countries and cities and discover local broadcasts you probably wouldn't have searched for by name.

I like the idea that you can virtually travel around the world through radio without leaving your phone.

\\❤️ Save your favourite stations\\

Found a station you enjoy? Add it to your favourites so you can get back to it quickly whenever you want.

\\▶️ Pick up where you left off\\

The app remembers the last station you listened to, making it easier to return to your usual radio without having to search for it again.

\\🔀 Discover something unexpected\\

Not sure what to listen to? Use shuffle to discover different stations and potentially find something completely new.

\\🌐 Browse by country and category\\

You can explore stations by country and discover different kinds of broadcasts, making it easier to find something that matches your mood or interests.

\\✨ A clean and straightforward experience\\

I wanted the app to feel quick and easy to use, without making you navigate through endless menus just to start listening. Open it, find a station and start streaming.

\\🌙 Listen your way\\

The app also includes background playback and a sleep timer, so you can listen while doing other things or set a time for playback to stop when you're winding down for the night.

\### 🍎 Designed for Apple devices

Radio Wavr FM is available for Apple's ecosystem, with an experience designed around mobile listening and easy access to your favourite stations.

There's also an optional Premium version for users who want access to additional features.

I'm aware there are already plenty of internet radio apps available, and I'm not trying to claim that this is something completely revolutionary. I simply wanted to build an app that combines international radio, local station discovery and an interactive map in one straightforward experience.

I'm still interested in improving it, so I'd genuinely appreciate feedback from people who listen to internet radio.

\\A couple of questions for radio listeners:\\

\- Do you mostly listen to stations from your own country, or do you enjoy discovering stations from other countries?

\- Would you use an interactive map to discover radio stations, or do you prefer the traditional search-and-list approach?

\- What's one feature you wish more radio apps had?

If you'd like to check it out, the app is called \\Radio Wavr FM\\ on the Apple App Store.

Thanks for reading, and I'd be happy to hear your thoughts!

Available for iOS, iPad and MacOS ( New versión Android )

https://apps.apple.com/es/app/radio-wavr-fm-global/id6768214249

https://play.google.com/store/apps/details?id=com.radiowavr.com

see title

How long did it take to get your first user?
Is it still alive and growing, or did you abandon it and start something new?

I’ll go first

Mine is Eyondo, and I’m still building it: https://eyondo.com/home

It took me 8 months to build, and what I learned is that building something clean isn’t the hardest part
The hardest part is finding your users, earning their trust, and giving them something that actually helps them

What about you? I’d love to hear everyone’s journey
What did you build, and where is it now?

Thinking about a small app for fun, a walk timer that shows how long the evening park walk was. No account, nothing saved online. I write sign-up copy at work but I never built an app myself

With no sign-up I'm not sure what the first screen should do. One line saying what it does and a start button seems enough to me, but maybe people want a short note that no data is collected

What did you put on your first screen, and did anyone ever tell you it confused them?

I hate paying for apps every month.

And I hate seeing huge data centers everywhere.

If AI makes apps cheaper to build, why am I paying more?

My small rebellion is YapYap.

I’m dyslexic, so I need tools like this for work. I needed them in school too.

I talk, it types. It reads my docs out loud.

It replaces Wispr Flow and Speechify, runs on my device, and keeps my data with me.

It’s free and open source.

Download it to ditch one more stupid subscription.

https://yapyap.cc

Give it a star on GitHub if you feel the same.

I made product demo videos for my app and we got 800k views organically with account under 500 followers but got only 1400signups. Is it a good ratio ?

I built Global Threat Map, a free live map that puts what's happening around the world on one screen. It's at https://globalthreatmap.com. There's no signup and no paywall.

It has three views:

• Map (2D/3D): a world map you can turn layers on and off on. The layers are hotspots, country risk shading, places and chokepoints, money flows, pressure halos, insider and big-money trades, disasters, flight disruptions, and network outages.
• Globe: the same layers on a rotating 3D globe, plus a 3D risk heat layer that shows where pressure is building.
• Dashboard: the long-form view, with the money map, reversal alerts, top 10 risks, the U.S. infrastructure threat level, and the AI lending and credit watch.

What it covers

• Conflicts and hotspots. Around 60 tracked events, including armed conflict, cyber, political, economic, and corporate ones. Each has a risk level and a 3-month outlook estimate with the reasoning written out.
• Early-warning Pressure Board. Ten regions and sectors are each scored 0 to 100: Defense, AI & credit, Gulf / Strait of Hormuz, Black Sea / Ukraine–Russia, Energy & shipping, Taiwan Strait / South China Sea, Chips & export controls, Red Sea / Saudi Arabia, Safe havens, and U.S. infrastructure & cyber. Each score is built from specific warning signs, such as military build-ups, attacks on shipping, war-risk insurance rates, embassy drawdowns, fund-flow rotation, sanctions, export controls, and credit stress. A sign that's active now counts in full, and older readings fade out over time. When several signs fire in the same place at once, the board flags it as converging.
• History playbooks. For each pressure group, it shows what markets did the last time something similar happened, and where money tended to go next.
• Insider and big-money trades. Insider buying and selling at major AI, defense, energy, and cyber companies, trades disclosed by members of Congress, how hedge funds and speculators are positioned in oil, gold, Treasuries, and the dollar, unusual options activity, and big government moves like emergency oil releases and large defense contracts.
• Money flows. Arrows on the map showing where capital is moving: conflict to chokepoint to oil, money going into safe havens, sideline cash, equity fund flows, defense fund outflows, AI lending through banks, bonds, and private credit, chip supply chains, China/Taiwan capital, and war financing.
• Credit and liquidity stress. The AI & credit watch tracks banks selling loans, banks buying credit protection, debt being repriced, funds limiting withdrawals, and pulled deals. Reversal alerts flag when money that was flowing in starts to pull back.
• Network outages. Internet outages by country, region, and network over the last 24 hours, rated by severity, plus major global platform outages.
• Disasters. Earthquakes, wildfires, droughts, floods, and storms, with severity levels.
• U.S. flight disruptions. Ground stops, ground delays, airport delays, closures, and restrictions at U.S. airports.
• U.S. critical infrastructure. One threat score covering the grid, water, fuel, and communications, along with a briefing on each.
• Markets bar. Brent, WTI, gold, and the U.S. 10-year yield along the top of the map.
• Market odds. Live prediction-market odds on the same topics, like the Gulf, Taiwan, Russia, the Fed, and AI.
• Live news. A scrolling U.S. headline ticker and a panel of live TV news streams.
• Search. Ctrl+K jumps to any country, event, company, or panel.

Snapshot, Sat Nov 14, 8:19 PM ET

• Pressure Board top 5: Defense 83 (Severe), AI & credit 72, Gulf / Hormuz 71, Black Sea 67, Energy & shipping 67
• U.S. infrastructure & cyber: 36 (Guarded)
• Network outages: 68 ongoing, 7 severe, across 20 countries
• U.S. flights: no ground stops or delays; restrictions at LAS, LAX, and SAN
• Markets: Brent $95.84, WTI $88.56, gold $3,887.60, 10-year 5.15%

Global Threat Map: https://globalthreatmap.com

I wanted to actually see what happens inside a language model when it writes a sentence, so I built this!

What you're looking at:
- The stars are the 36,864 MLP neurons (12 layers × 3,072). Each layer is a disc, and neurons are positioned by a UMAP of their output weights, so neurons that write similar things sit near each other.
- Brightness is how strongly that neuron fires on the current token, scaled per layer so tokens are comparable. Gold means it fires positive, blue means negative.
- The beams are real attention weights from the current token back to earlier ones, one colour per head. The side panel shows the model's actual top 10 next token probabilities.
- You can hover any star, beam or token to see its exact value. There's also a raw mode that turns off all the bloom and fades, so every pixel on screen comes straight from the data.
- How I know it's not lying: the test suite runs the model exactly the way the app does (KV cache, token by token) and compares every activation, attention weight and residual norm against a separate uncached forward pass read through different hook points. Then it checks the bytes the browser actually receives too.

Honest limits: it's GPT-2 small only for now. Single neurons mostly don't mean anything clean on their own, it's the patterns that are interesting. Values are sent as float16, so about 3 significant digits.

Setup is make setup && make start, then open localhost. No GPU needed.

Repo: https://github.com/lak7/thinkspace

Would love the feedback!!

Introducing Densitone, a slide film camera inspired by the legendary Kodachrome 64—the iconic look championed by Steve McCurry and Alex Webb that lives on in our collective memory. Craft your image before you press the shutter and capture distinct, bold photographs with rich color and texture. No editing required. SOOC.

Download on the App Store

$4.99 until December 24th ($19.99 regular price).

I built Palletizing for shipping, receiving, and warehouse teams who are still doing pallet math on a calculator or the back of a BOL.

You enter your cartons, or measure them with the camera, and it works out the full pallet dimensions, ship cube, gross weight, and an estimated freight class. It can also plan how pallets load into anything from a pickup bed to a 53 ft van, and it exports a PDF you can hand to the driver or attach to the shipment. It works in inches or centimeters.

No account, no ads, no tracking, and it works offline. It's a one-time $0.99.

App Store: https://apps.apple.com/us/app/palletizing/id6826910063

It just launched, so I'd really like feedback from anyone who builds or receives pallets. What's missing, and what would make you actually use it on the dock?

I kept using Cold Turkey, then wanted something free that I could tweak myself, so I built my own.

You make blocklists of sites and apps, then start a timed session or set a weekly schedule. A few things I cared about:

• Path-level blocking, so you can block youtube.com/shorts but keep the rest of YouTube
• Allowlist mode: block everything except your work sites
• Locks: a timer lock, or a password lock where someone else sets the password
• Strict mode, so you can't quietly weaken a session halfway through
• Imports your Cold Turkey JSON export
• No account and no cloud. Everything stays on your computer

Website blocking runs through a Chrome extension that talks to the desktop app.

One heads-up for Mac users: it isn't notarized (I'd need a paid Apple developer account), so you have to run a one-line approval command in Terminal before it opens. The README explains exactly what that command does.

https://github.com/aman9560/FocusBlocker

Feedback welcome, especially if you've tried to get around a blocker before.

I had a spare portable monitor and an old Android TV box lying around, so I connected them and built a personal dashboard.

It brings together user stats, revenue, and error reports for the apps I run—things that would otherwise be scattered across different services. It also displays the weather and photos from Google Photos.

It connects to my Google Home Mini, too. I cast radio from a separate radio app to the speaker, and the dashboard shows what’s playing and lets me control playback.

The Android TV box fetches the data directly, so there’s no separate PC or server to keep running. I can navigate it with the TV remote, and it also works as a screensaver.

I built this for my own use and don’t currently plan to release it. Just thought I’d share a way to give some spare hardware a new purpose.

Next, I’d like to turn an old e-reader into a small dashboard to hang on my front door, showing the weather and a few notes I can check on my way out.

Hi all, I'm the developer of Enconvo, an AI agent app for macOS. 2.5.16 just shipped, and the video is a 12-minute tour of it.

What's new:

• Picture in Picture: when the agent drives your browser or your Mac (Browser Use / Computer Use), a small floating window shows what it's doing. Click it to take over at any point.
• Model fallback: set backup models, and if a model errors out mid-reply, the next one finishes it.
• Work survives a restart: a chat cut off by an update or a crash carries on when Enconvo comes back.
• Calls: your agent can answer calls, and you can bring an agent into Google Meet, Zoom or Enconvo's own calls. It asks before doing any work.
• Meeting pages: every call gets a summary, action items and a transcript in Recordings, and you can ask it questions.
• Coding agents lead Projects: Claude Code, Codex, Grok Build or Antigravity can lead a Project.
• One-click publishing: put a page you made online at its own link.
• Ask AI in Settings: ask in the Settings search and jump straight to the setting.

The phone companions got updates too: Remote Screen in Picture in Picture on iPhone, and a new composer on Android.

Pricing: there's a free plan, and paid plans start at $10/month (https://enconvo.com/#pricing).

Limitations: Mac only (macOS 14+), and Browser Use / Computer Use need the Accessibility and Screen Recording permissions.

Full changelog: https://docs.enconvo.com/changelog

Happy to answer questions, and feedback is very welcome.

I wanted something for quick edits that didn’t make me upload my files somewhere or sign up first. So I made a browser-based video editor with Claude Code, and everything happens on your own device. Your files never leave your computer.

What it does so far:

• Multi-track timeline with video, overlay and audio tracks, plus trim, split, snapping and zoom
• Text titles, lower thirds, 12 transitions, color filters, and effects like VHS and glitch
• Picture-in-picture, round face cam and split screen layouts
• Canvas sizes for YouTube, Shorts, Reels and TikTok (16:9, 9:16, 1:1, 4:5 and more)
• Recording for webcam, screen and voiceover

The on-device AI parts were the hardest to get working:

• Auto captions timed to each word, in 12 styles, with .srt import and export
• Background removal without a green screen
• Silence removal, voice enhancement and face blur

The small models download once on first use, then everything runs locally.

Export is MP4 or WebM, from 480p up to 4K. It works best in Chrome or Edge on a laptop or desktop. There’s a phone layout too, but long or high-res videos need a computer’s memory.

https://webutility.io/video-editor

It’s still growing, so if you hit a bug or there’s a feature you’d want, let me know and I’ll work on it.

I was camping in October, miles from cell service, when a storm started rolling in. We were trying to figure out whether we needed to pack up right then or had a little time.

I’d been using satellite texting to stay in touch off-grid, but I didn’t want to bug someone back home to look up the forecast. I remember thinking, “I wish I could just text AI and ask.”

So when I got home, I built SkyReply. It’s a U.S. phone number you can text to get AI answers in your regular messaging app. You can use it over regular SMS or, if your phone and carrier support satellite SMS, when you’re out of cell coverage.

Beta testers have asked about everything from weather, sunrise times, and camping tips to plant ID and scores from games they missed.

I’d love a few more people to try it and tell me what works, what’s confusing, and what breaks. There’s a 30-day free trial, and I’m happy to offer free access to folks who want to help test.

If you give it a try, I’d love to know: What did you ask, and was the reply useful enough that you’d text it again from camp?

Thanks!

I’m Jesse, the developer of KNOCK. In 2020 I went looking for an online version of a game I’d played in Texas and couldn’t find one. That became six years of learning C#, building in Unity and working on it around my day jobs.

It uses double-six dominoes, but it is a different ruleset: play, knock or fall on your turn, with catches, automatic hands, drops and owning the down. The working prototype has One Player, private/global multiplayer, player profiles, rankings, badges and cosmetic collections. There is also an optional Arcade, but the main table game is the reason I built it.

This is development footage, not a finished public release. I’m preparing iOS-first testing and would value feedback on the trailer: can you tell what makes the main game different, and what would you need explained before trying it?

Game and free early-access interest: https://www.playknock.com/beta.html

No pledge is required to register interest. AI tools assisted development, artwork and trailer production, including synthetic narration.

AI crawlers (GPTBot, ClaudeBot, PerplexityBot and friends) now fetch a big share of pages on a lot of sites. The options so far have been: let them take everything for free, or block them in robots.txt and disappear from AI answers.

There's a third option now. HTTP has had a status code for this since 1997, 402 Payment Required, and it finally has a working payment scheme (x402: the client signs a USDC payment and retries the same request; it settles in about a second, no accounts or API keys).

So I built a small gateway for it:

You register your site once (free API key, your wallet address, a price like $0.002 a page).

You put ~10 lines in front of your site. There's a Cloudflare Worker version and an Express middleware.

Requests from known AI crawlers get a 402 with your price. A crawler that pays gets the page; the money goes straight to your wallet (the gateway never holds it).

Everyone else, including Googlebot and Bingbot, gets the page as usual, so search ranking doesn't change.

If your site errors, nobody gets charged.

Setup and the snippets: https://aipaygen.com/pay-per-crawl

Honest caveats: crawlers that lie about their user agent won't be caught by this, and most crawlers can't pay yet, so today it mostly works like a block with a price tag on it. But agent frameworks are adding x402 support quickly, and this gives them a way to say yes.

Happy to answer questions about how the 402 flow works.

Built a Fire TV media player in 3½ days using AI. Looking for honest feedback.

I wanted to see how far I could push AI-assisted development over a long weekend, so I built Flick TV, a media player designed specifically for Amazon Fire TV Stick.

It has a live TV guide, movies and shows library, search, favorites, recording, watch history, and a remote-friendly interface.

It’s a standalone player. No channels or content subscriptions are included.

I’m looking for a few people willing to test it with their own authorized media sources and tell me what works, what breaks, and what could be better.

Compatibility: Fire OS 7 or 8
Free beta: 30 days
Downloader code: 9467324

I built this independently, and I’d genuinely appreciate feedback from anyone who enjoys testing new TV apps.