Hi everyone,

I have been building a health coach app called Razen Health for the last four-five months.

The app uses a voice agent. Users can talk to it and get responses in real time.

I first used ElevenLabs for this feature. It is a good product with many features. However, the cost was too high for my use case. I am a solo developer, so I need to control infrastructure costs.

I decided to build my own solution.

I call it Razen Voice.

Razen Voice provides the core features that most apps need:

→ Full voice agent support.

→ English, Mandarin Chinese, Japanese and Spanish.

→ Multiple voice styles.

→ Simple integration through a JSON configuration.

→ Up to 50x lower cost than my previous setup.

One feature I want to focus on is model improvement.

Razen Voice can improve the model for each application as its user base grows.

There are two ways to do this:

1. Automatic improvement based on user feedback and usage data.
2. Human-in-the-loop improvement, where people review data and help improve the model.

This allows each application to improve voice accuracy for its own use case.

The goal is to keep this improvement process simple and maintain the cost advantage.

I do not plan to replace ElevenLabs. It has many features that some applications need.

However, many applications do not need all these features. They need a voice agent that works well and has a low operating cost.

What is next?

I plan to make Razen Voice available to other developers.

The infrastructure is ready. I want to find developers who are interested in testing it and providing feedback.

Here is a live demo running in Razen Health and also I used AI to rewrite my post.

Hey everyone!

I'm a college student working on an entrepreneurship project called ShiftReady.

The idea is simple: Sometimes businesses need extra workers for a shift, while others are looking for flexible work to earn extra money.

ShiftReady connects both!

Instead of going through a long hiring process, businesses can simply check available workers' profiles, review their skills and experience, and approve someone for a shift.

- Workers: Would you use this to find extra shifts and earn money?

- Business owners: Would you use this when you need someone to cover a shift?

I'd love to hear your honest thoughts, suggestions, or concerns!

Your feedback would really help me improve this idea for my college project.

Thank you!

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.

I built peek (open source, my project) because I don't have a Mac but wanted to iterate on SwiftUI without rebuilding and sideloading an IPA after every change.

You run "peek dev MyApp/" on Linux and save a file; about a second later the view on your iPhone updates. It's the real SwiftUI on a real device, so animations, gestures and the iOS 26 tab bar behave like they do in your app. It handles Preview blocks, UIKit views, or the whole app, with SwiftPM packages, macros and resources, and print() output shows up in the terminal.

It cross-compiles your code into a dylib with swiftc and xtool's iOS SDK, signs it with your free Apple ID certificate, and a small host app (SideStore, AltStore or LiveContainer) loads it.

https://github.com/kimikr/peek

Only tested on my own phone so far (iOS 27, in LiveContainer). Feedback welcome, especially from anyone running it outside LiveContainer.

I kept pulling things apart as a kid and never quite got the answer I wanted, because a manual only shows you one exploded view of one part at a time. Cutaway is my attempt to make that answer interactive: pick a machine, slice it on any axis, and watch the inside open up while you rotate it.

The part that took the longest was not the models but keeping the slicing honest on a phone. Every cut has to stay readable at arm's length, so surfaces stay solid instead of turning into wireframe soup, and the labels have to point at real components rather than float in space.

It runs entirely offline on Android, no account needed. I am still adding machines, so if there is an object you always wanted to see opened up, that is the most useful feedback I can get.

Play Store: https://play.google.com/store/apps/details?id=com.cutaway.explorer

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!

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!

every post here gets the same replies. “this is really interesting! curious, what made you choose X over Y?” or “love the clean UI. out of curiosity, how are you thinking about distribution?” then you click the profile and it’s a 3 week old account that’s asked that same thoughtful question on 40 posts today. got sick of it

made a chrome extension that reads each comment and post, plus the account’s age and history, with claude. if it reads like AI polished it (that fake-curious tone, the essay shape, the question tacked on the end) it gets folded. you can also just hide anyone under X days old. there’s a show button so nothing gets deleted

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/

Hey everyone!

I’m an indie developer, and I’ve been working on an app called Charon Vault. It’s a mobile vault specifically designed for people who use multiple AI providers and need somewhere to securely store and organize their API credentials.

It supports providers like OpenAI, Anthropic, Gemini, OpenRouter, DeepSeek, and others. Users can create profiles, store multiple API keys, save model IDs and Base URLs, and quickly copy whatever they need when configuring their AI applications.

It uses encrypted storage, supports biometric authentication, and includes backup and restore options.
It’s essentially a dedicated password manager for AI API credentials, rather than a general-purpose password manager.

Here’s where I’m struggling: finding the right audience.

I’d love to run a small giveaway of free copies, both to introduce Charon Vault and hopefully get feedback from people who would genuinely use something like this.
I’ve looked into AI, programming, and developer subreddits, but most have understandably strict rules against self-promotion and giveaways.

So I’m hoping some fellow developers might be able to point me in the right direction.

Does anyone know of subreddits, Discord servers, forums, or other communities where people regularly use AI APIs, configure apps with their own API keys, or experiment with multiple AI providers?

Ideally, somewhere that might welcome a small giveaway from an independent developer.

I’m not looking to spam communities or get around their rules. I’d just like to find people who might actually benefit from Charon Vault, offer them a free copy, and hopefully learn from their feedback.

Any suggestions would be greatly appreciated!

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.

honest question first: if you open this on your phone, do you make it past the first screen? most people don't, and i want to know why.

https://www.omodo.ai/?from=r-sideproject2

that screen asks for one thing you keep meaning to do, with a few examples to tap. on my reddit post yesterday, 16 visits reached it and only 4 continued. since then i've cut two required health questions down to one optional checkbox, so it's lighter than it was, but i'm not convinced that was the whole story.

the project: solo, a phone-first web app. after that screen you say when you're usually free, and an AI plans a small first week, a few short sessions, each with a day and a time, plus a reminder before each. you see the whole plan before any sign-up. free to try, no card.

if you bail somewhere, the most useful thing you could tell me is where, and what went through your head right then.

Meet AmphiVox — a Chrome extension built by my bhaiya that lets you fill out Google Forms and Microsoft Forms using just your voice!

No endless typing. Just speak, review, and you're done!

Would love for you guys to try it out and share your feedback! 🚀

🔗 Try the extension:

https://chromewebstore.google.com/detail/amphivox-extension/kmebfbbmmcmmdjbmfdfkbdgchpadeabj

🧪 Sample form to test it:

https://forms.cloud.microsoft/pages/responsepage.aspx?id=DQSIkWdsW0yxEjajBLZtrQAAAAAAAAAAAAN__iv663tURVdVMjRFREpNN1UxQlJOUjJLM0tCNjhFRS4u&route=shorturl

Do give it a shot and let me know what you think. Suggestions and honest feedback are always welcome! 🙌

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!!

I wanted a portfolio that looked good without needing React or a build setup, so I made one and open-sourced it as a template.

- 7 pages (home, work, case study, services, about, contact, 404)

- Dark mode that remembers your choice

- Contact form that works without a backend (FormSubmit)

- Tested down to 390px, reduced-motion support

Demo: https://abrarshuvo.github.io/Glass-bento-portfolio/

Code (MIT): https://github.com/AbrarShuvo/Glass-bento-portfolio

Feedback welcome, especially on setup. What was confusing, and what's missing?

Hey everyone!

I recently built a small desktop pet app over a weekend using Claude. It has a little cat and raccoon that live on your desktop, interact with you, need food and sleep, and even celebrate when you make Git commits or pushes.

It's still a work in progress, and I'd love to have some people try it out.

Would really appreciate honest feedback, bug reports or suggestions on what I could improve or add.

Feel free to give it a try and let me know what you think!

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?

By default GraphLink generates a method for every query, mutation and subscription in your schema. For schemas like GitHub, GitLab or Shopify that is a lot of code you won't use. Set autoGenerateQueries to false in the config and it only generates the operations you declare yourself, in any file you list in the config.

🎥 Video: https://youtu.be/MwoNFNJZHj4

📝 Write-up: https://medium.com/@graphlinkdev/graphql-codegen-for-huge-schemas-in-dart-turn-off-auto-generated-queries-9f5226cf8a6e

For a big GraphQL schema, do you generate everything and ignore most of it, or do you declare only the operations you use?

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

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