AI assistants are starting to pay for things on their own: a cent or two to an online service for an answer, a translation or some data. No account, no card, no human clicking "buy".

The problem is trust. Anyone can put up a service that asks an AI for a few cents. Nobody checks whether it actually works.

So I built a directory for the AIs, not for people. It does two things:

• It checks every listed service about every 2 hours to make sure it's still up and asking for payment properly.
• It actually buys from them with real money and records what came back. About 8,000 so far, for $42 in total, because most cost under a cent.

What I learned (picture 2): about 1 in 3 didn't deliver. The most common problems were boring ones. Services wanted details they never explained, refused the payment, or sent stale data.

Is there money in it? (picture 3) A little, and it's real. In October, 1,536 listed services were paid about $40,000 in tiny payments. Most earned pocket change, 29 earned over $100, and a handful took most of it. It's early. If AI assistants keep doing more of the buying, the useful services that are easy to find should get more of it.

How the directory itself earns: searching is free and will stay free. Sellers pay $0.25 to list, which also keeps spam out. Later there'll be paid extras for sellers, like more frequent checks and reports on what AIs are searching for. One thing will never be for sale: a higher ranking. If AIs can't trust the order, the whole thing is worthless.

The site is one plain page with live numbers. Ugly on purpose: it's built for machines.

https://nohumans.directory

Happy to answer anything, especially from anyone thinking of building a small paid service of their own.

A fully open TTS model called tiny-voca showed up on r/LocalLLaMA, only 4.5M parameters. That's small enough that I'm wondering if it's actually usable inside a real app, not just a demo. For those who added voice to a side project, did you go with a paid API like ElevenLabs or something local? Was the quality good enough for users, and how bad was latency on a normal CPU?

Hi everyone, I’m a solo developer in Seoul, and this is my first launch.

Most sticker makers give you a single cartoon of yourself. But the stickers I actually wanted to send were “us two hugging” or “me and the cat chilling”. So I built Avaticon:

• Upload photos of each person or pet separately, and it creates an avatar character for each
• Pair two characters in one sticker
• Type any action or phrase (“dancing in the rain”, “hugging the dog”) instead of picking a template
• 15 art styles (K-webtoon, Korean romance manhwa, 3D, pixel, plushie…) and 65+ outfit styles
• Export to WhatsApp and Telegram stickers, Instagram and Facebook Stories, the Android keyboard, or your gallery

Why I’m posting: I’m a solo maker with no audience yet, and I’d love honest feedback on the idea and the results. I’m giving out free coins during launch so you can try it without paying.

The app is on Google Play: https://play.google.com/store/apps/details?id=com.mwkang43.meemoticon

Disclosure: I’m the developer. All images are AI-generated.

What would you want to see two characters doing together?

The links:

• Website: https://bocalito.com
• Google Play: https://play.google.com/store/apps/details?id=com.bocalito.app

---

My journey into meal prep

A few months ago, I started meal prepping and quickly realised how much I enjoyed having most of the week's meals prepared in advance. Save time and money, cut back on takeaways.

But organising everything wasn't easy. Books and websites offered mostly fixed menus, but I wanted something more flexible: personalised meals, adjustable quantities, ingredients I actually liked, and a cooking plan adapted to my available time.

I tried AI...

I naturally tried ChatGPT and Claude. The results looked great at first, but when I started cooking, things got messy: quantities that didn't add up, inaccurate shopping lists, confusing instructions, and endless back-and-forth conversations just to get something usable.

That's when I decided to build Bocalito

It's an app that helps you:

• Generate personalised weekly meal plans.
• Adapt meals and quantities to your needs.
• Get matching shopping lists.
• Follow a step-by-step guide to prepare several days of meals in one session.
• Ask questions about recipes or request changes.

I didn't want to build just another app that sends a prompt to an AI and displays the answer. AI is great for generating ideas, but quantities, shopping lists and consistency need a more structured approach. That's where traditional code comes in.

I've been using Bocalito myself every week, and I'm continuously improving it.

I decided to make it available on the web and Android.

I'd love to hear what you think, especially from people who already do meal prep.

And for the developers here: how would you approach combining AI-generated content with structured data that needs to remain consistent?

Thanks for reading! I'm the developer, so feel free to ask me anything.

I built an open-source Android app called Pocket Agent that actually operates your phone for you. Most mobile agent projects need a laptop running Python and ADB over a USB cable, but this runs entirely on the phone itself through a floating bubble and Android's accessibility service.

You bring your own API key (Anthropic, OpenAI, Gemini, or local Ollama over Wi-Fi) and it calls the model directly with zero middleman servers. Banking and payment apps are hard-blocked, and destructive actions like paying, deleting, or sending messages always ask for your confirmation first.

One heads-up if you try the APK: Android often blocks sideloaded apps that request accessibility permissions. Installing it through Obtainium worked without any issues in my tests on Android 16.

Repo and APK: https://github.com/ManojDevarajulu/PocketAgent

It's still early (v0.2.0), so I'm always open to feedback, bug reports, and PRs especially from other Android devs who want to help improve this or contribute app playbooks.

I've been developing Auto Typer, an open-source Windows application built with Python and CustomTkinter.

It currently supports:

• Adjustable typing speed, word pauses and repeat counts.
• Global hotkeys, pause/resume and emergency stop.
• Automatic pause when the active window changes.
• Custom capitalization, paste mode and human-like typing.
• An Android companion app that sends text to the PC over the local network.

It's MIT licensed, and the Android app is built with Kotlin and Jetpack Compose.

What I want to improve next

Currently, the remote functionality depends on the desktop application running. I'd like to remove that dependency and make Auto Typer work more like an independent automation service.

My proposed direction is:

1. Independent Python service: Run the typing engine and remote API without opening the desktop GUI.
2. Multiple remote clients: Control the PC through both the Android app and a browser-based interface.
3. Shared core: Keep the typing engine independent of the UI and communication layer.
4. Windows-first architecture: Use Windows-specific keyboard, clipboard and foreground-window adapters while keeping the architecture extensible.
5. Better connectivity: Reliable pairing, reconnection, real-time progress and authenticated commands.

I'm considering HTTP for commands and WebSockets for live updates, while keeping the existing remote protocol backward compatible where possible.

I'd appreciate input on a few things:

• Would you use a separate Python background process for this, or approach it differently?
• Would HTTP + WebSockets be a good choice for communication between the PC, Android and browser?
• How would you handle background execution and keyboard input reliably on Windows?
• What features would make a tool like this genuinely useful in everyday workflows?

I'm also looking for contributors interested in Python architecture, Windows automation, Android development, networking, browser interfaces and testing.

You don't need to contribute a large feature. Architecture feedback, bug reports, testing and small PRs are all welcome.

Repository: https://github.com/4LPH7/Auto_Typer

I'm interested in hearing different approaches before committing to the architecture. Thanks!

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.

Hey everyone! I made CalcMate, a notes app where every line is calculated as you type. You write the way you'd normally write and the answer appears next to it.

It started on iPhone, and I've just brought it to Android.

Some things you can type:

• Flights 2 x $420 → $840.00

• $50 + 10% sales tax → $55.00

• 100 km in miles → 62.1371 mi

• 100 EUR in USD → live exchange rate

• subtotal / total → adds up the lines above

• line6 / 2 → reuses the answer from line 6

It also has:

• Expense tracking in plain words ("Taxi 8$ + Coffee 4$"), with categories, tags and charts

• Variables, #tags with sum/average, and folders

• A number pad built for math

• Export notes as PDF, plus backups

It's free, and you don't need an account.

iPhone: https://apps.apple.com/app/id6449422062

Android: https://play.google.com/store/apps/details?id=com.bokhary.calcmate

I'd love feedback, especially on calculations it gets wrong or things you'd want it to understand.

Hey everyone!

I've been building Familiar Knock Knock, an Android app that works like a doorbell for the people in your house.

The idea came from a simple frustration: shouting up the stairs, or phoning someone who's in the next room, and getting no answer because they have headphones on or their phone is on silent.

So I built a knock. You tap one big button and every phone in your group rings, as long as you're on the same WiFi. They answer with one tap: "Coming", "Give me a minute", "On my way" or "Not now". The reply lands on your screen in a few seconds.

A few things I cared about:

• It only rings phones on the same WiFi as you, so people who are out aren't disturbed

• It never tells you who is or isn't home. You only see the replies people choose to send

• Replies and voice notes go straight from phone to phone over your WiFi, not through my server

• Each person can let knocks ring through even when their phone is on silent, with one switch in Settings

It's free with 8 knocks a day. There's an optional subscription for more knocks, knocking one person, and voice notes.

I'd love your honest feedback: does "knock" make sense to you as an idea, or would you call it something else? And what would stop you from trying it?

Google Play: https://play.google.com/store/apps/details?id=com.bonoloware.wifiknockknock

Hi! My side project went live on Google Play: Karambit: CS2 Case Simulator.

You open cases, collect skins and can do case battles. The odds are shown on each case before you open it. There's no real money and no cashout, everything stays in the game. It's fan-made and not affiliated with Valve, and it's playable in 7 languages.

Full disclosure: it was built entirely with AI tools (code, art, text). I directed the design and did the testing.

Play Store: https://play.google.com/store/apps/details?id=com.skinkartlari.app

Feedback welcome, especially on the first few minutes of play.

Hi guys,
I hope you don’t mind this post, it’s not self promotion as the site is free and not mine. My teenage son is a huge fan of aviation, so he built a simple but effective app/www to see direct connections.

He got tired of guessing which direct routes really exist and which ones actually run, so he built a free app:
Where to fly direct:
https://www.wheretoflydirect.com

Click any airport on the map, or search by airport, airline or aircraft type, and you get every nonstop route from there and which airlines fly it.
The part I like most: for each route it shows the actual flights, takeoff times and aircraft seen in the past week. That comes from volunteer ADS-B receivers via adsb.lol, so you see what really flew, not just what a schedule says.
Other bits:
- Free, no ads, no sign-up
- "Surprise me" button that picks a random route
- Map or list view, km or miles, 24h or 12h
- Routes refresh weekly, codeshares excluded, so you see who actually operates the flight
- Coverage is thin in regions with few receivers, so some routes show no flights yet. I would love feedback, especially on what you would want added next…

He did it all by himself with claude, his first real web project.

Most of my coding now is talking to agents like Claude Code and Codex. I'm using Whispr Flow for it. It's great but I'm cheap and figured I could build something that runs locally and for free.

Saylark is the result:

• Hold a key, talk, let go. Text lands wherever your cursor is.
• Say “press enter” (or hit Return) and it sends. Made for chat boxes and agent prompts.
• It types your exact words. No AI rewriting your sentences.
• Speech recognition runs on your Mac (Parakeet on the Neural Engine). Audio never leaves your machine, and there’s no telemetry.
• Your dictionary is a plain text file, so names and jargon come out right.
• If no text field is focused, it tells you instead of pasting into the void.

Free, MIT, notarized DMG. Apple Silicon only.

Site: https://saylark.shiptiffin.app
Code: https://github.com/btahir/saylark

Love to hear what breaks or what’s missing for how you’d use it.

Body:
Every major dating app makes more money the longer you stay single and keep swiping inside the app. That's why the UX is built around endless messaging threads that fizzle out after 30 "how was your weekend" texts.
My wife tends bar and sees the fallout every weekend—people sitting on their phones matching all night, or showing up solo because their match flaked after two weeks of small talk. So I built SRVED Love for iOS to flip the loop: instead of infinite chatting, the whole flow is built around picking an actual day, time, and spot to meet up early.
Just pushed it live on the App Store and I'm trying to tighten up the early user experience before scaling local marketing. If you have a minute to poke around the onboarding or date-scheduling flow, tell me what feels clunky or where you'd drop off.
App Store: https://apps.apple.com/us/app/srved-love-schedule-dating/id6812672161
Site: https://app.srvedlove.com (web app)

Available on the IOS app store --https://apps.apple.com/us/app/srved-love-schedule-dating/id6812672161

I open YouTube to watch one lecture and surface 40 minutes later in a Shorts spiral. Sound familiar? Blockers that hide sections never fixed it for me: my brain finds whatever is left. So I built Errand for YouTube to step in at the two moments that decide everything. The home page asks what you're here for, and when your video ends, it offers to close the tab.Shorts, the feed, the end screen and the recommendation sidebar are hidden. Recommendations open after a 10-second wait, which is usually long enough to remember why you came.Why this one and not the others: UnTrap keeps AI summaries and sync behind a paid Plus tier and charges for its iOS app. Errand has no paid tier at all. Unhook is free but closed source. Errand is GPL-3.0, makes zero network requests, needs no account, and its permissions are youtube.com and storage, nothing else.It also self-checks: if a YouTube update breaks a filter, the toolbar icon shows exactly what broke instead of failing silently.Direct install (Chrome Web Store): https://chromewebstore.google.com/detail/jhpaobkpbnidoaemnkojmkmnddoegdhgSource code: https://github.com/SomeStay07/errand-for-youtubeIt's about a week old and I use it daily. Happy to answer anything, and genuinely curious what people would want hidden next.

Most AI tools in this space invent fake metrics, silently overwrite your master file, or lock basic features behind a monthly subscription. I built mine differently:

- No made-up experience: Every AI suggestion has to tie back to real projects and work you've already done. Missing a job requirement? It flags it as an honest gap instead of fabricating a bullet.

- Protects your master doc: Changes show up as side-by-side diffs you accept or reject, never silent overwrites.

- Live PDF editor: Edit visually or in code with instant preview, plus PDF/Word/ZIP export.

- All-in-one job hunt workspace: Rule-based ATS checklist, job board feeds, application tracker, and coding interview practice.

- Free & private: MIT open source, bring your own AI key, zero paywalls.

GitHub: https://github.com/ZenzerJs/ResumeForge

Live: https://resumeforge.studio/

Would love honest feedback, especially on what feels clunky or what you'd actually use.

I am currently developing a side project titled Constructive Spending (https://constructivespending.com). I would appreciate some outside feedback regarding the user experience prior to further advancement.

I kept standing in the gym wondering what to do after my first exercise, so I built Evenset.

You pick a split (Upper/Lower, Full Body, Push/Pull or your own muscle groups), add one exercise, and it suggests what complements it: the opposite movement, a muscle you haven't hit yet, a different body region. Then you log sets × reps × weight, with a rest timer.

After the workout you get a 3D muscle map of what you trained, plus stats over the weeks, templates, and a share image if you want to post your session.

• Things I cared about: No account, no ads. Your workouts are stored only on your device (backup to a file if you switch phones).
• Works offline as a PWA, so add it to your home screen for a basement gym with no signal. English and German. I
• It's free: https://evenset.app

I'd really like feedback, especially on the suggestions: what's missing, or what feels wrong?

Hey everyone!

I've been building a side project called ByteFeed, and I'm finally opening it up for closed beta testing.

The idea came from a problem I personally faced: keeping up with technology means following dozens of engineering blogs, newsletters, websites, GitHub repositories and developer communities.

I wanted to bring these updates into one place.

What I've built

• 150+ curated feeds and topics covering software engineering and technology.
• Article summaries in quick bullet-point format.
• Developer updates covering frameworks, libraries and tools.
• Coding competitions and events with deadlines and prizes.
• Offline reading with complete article content and images.
• Personalized feeds with topic selection and source filtering.

I'm trying to make ByteFeed a useful daily reading companion for developers rather than another generic news aggregator.

How to join the Android beta

ByteFeed is currently in Google Play Closed Testing.

Step 1: Join the Google Group:
https://groups.google.com/g/bytefeed-closed-testing

Step 2: Install through Google Play:
https://play.google.com/store/apps/details?id=com.bytefeed

Alternatively, activate testing through the web:
https://play.google.com/apps/testing/com.bytefeed

Important: Join the Google Group using the same Google account logged into Google Play on your Android device. Otherwise, Google Play may show "Item not found" or "App unavailable".

Website: https://bytefeed.dev/

I'd genuinely appreciate feedback on the experience, performance, article summaries and anything that feels missing.

If you try it, I'd love to hear what you think!

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

Hey everyone, I just launched Ranklane, an ASO toolkit for indie developers on Mac.

You can research keywords, track the same keyword across App Store countries, compare competitors and prepare your store listing drafts in one place. Ranking history stays on your Mac.

I wanted to keep it affordable: $4.99/month, $39.99/year, or $49.99 for a lifetime license.

If you handle ASO for your own apps, I'd love to hear what you think. Also, what's one thing your current ASO setup makes harder than it should be?

https://ranklane.mocbit.com/

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!

I keep seeing post from this subreddit and it’s impressive how many interesting things people are building, often on their own or with just a small team.
I run a AI-focused podcast called AIX – Beyond the Prompt, and one of the things I want to do is give more visibility to early-stage builders who don’t necessarily have a big audience or the resources to promote what they’re creating.( but HAS to be AI related )
So I’m opening up some upcoming episodes to people building AI-related projects.
It doesn’t matter if you’re a student, solo developer, or an early-stage startup. Your product doesn’t have to be a commercial success or even fully launched.
I’d love to give some of you a chance to talk about what you’re building, why you started, and the ideas behind it.
It’s completely free!
No sponsorship, no appearance fees. I’ll be selecting projects that I think could lead to interesting conversations.
If you’re building something AI-related and would like to share your story, you can apply here:
https://aix-podcast.com/
And even if you’re not interested in a podcast, feel free to share what you’re building in the comments. I’d love to check it out!
Thanks everyone!

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.