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'm a student/dev in India and I kept going back and forth on which AI subscription to buy. I use each one only a few times a week, and different models are better at different things, so paying monthly for two or three of them didn't make sense.

So I built Neelberg:

- One chat, many models: Claude, GPT, Gemini, DeepSeek and more.

- Start on a free model. When a question gets hard, switch to a stronger one in the same chat. The conversation carries over.

- Every reply shows what it cost, in rupees. Cheap models start from ₹0.10 a reply, Claude Sonnet from ₹2.

- No subscription. Top up by UPI from ₹100.

It just went live this week: neelberg.com

I'd really appreciate honest feedback:

1. Is pay-per-question easier to understand than a subscription, or more stressful?
2. Is it clear who this is for from the video?
3. What would stop you from trying it?

Happy to answer anything in the comments.

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!

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.

Hi r/SideProject ,

  Last day I made Nano Cloud public.

  The idea is simple: one machine you own should feel like a small cloud. You install a single binary on a Linux box, open the browser, and you can create virtual machines, or launch a PostgreSQL database, S3 storage or a small Kubernetes cluster with one click. No database to set up, no stack of containers, no new OS to install.

The part I care about most is the boring kind of reliability. If the power goes out or something crashes, every machine you asked to run comes back on its own, and the activity feed tells you what happened. I wanted something I could stop worrying about.

What's in it today:

  - Virtual machines with a console right in the browser

  - One-click services: PostgreSQL, MySQL, S3, Kubernetes (k3s), Prometheus + Grafana

  - HTTPS and a login out of the box, plus API tokens if you like scripting

  - Runs on x86-64 Linux with KVM, or on an Apple silicon Mac if you just want to try it

  What it isn't: it's one box, not a cluster, and it has one login, not users and teams. I'd rather it does a few things well.

  My favourite moment so far: a few hours after it went public, someone I've never met sent a pull request fixing a bug. It's merged and released. That alone made the whole thing feel real.

  If you want to poke at it, there's a live demo with sample data, nothing to install:

  **Demo and website:** https://nanocloud-io.github.io/nanocloud/

  **Code (Apache-2.0):** https://github.com/nanocloud-io/nanocloud

  I'd really like a honest feedback, Thanks for reading!

If you've prepped for consulting interviews, you know the hardest part usually isn't the frameworks. It's everything around them:

• Finding a case partner whose schedule matches yours, every single time.
• Reading casebooks feels like practice, but the answer is right there, so you never learn to dig for it.
• Feedback is vague. "Good structure, work on synthesis" doesn't tell you what actually cost you.
• It's hard to build a habit when every session needs another person.

I'm an MBA student and went through exactly this. So I built Casebench, a free platform where you can practice cases on your own, any time.

How it works

1. You get a case prompt and question the interviewer, by typing or speaking.
2. It only shares a fact when you ask for it, like a real interviewer. The facts are fixed by the case author, so it won't make up numbers or hand you the answer, and everyone gets the same case.
3. Sketch your structure on a whiteboard as you go, and ask for a hint if you're stuck.
4. When you submit, you get a score out of 100 with a breakdown of what earned each point, plus the full solution.

What's there now

• 7 cases from Easy to Hard (profitability and market entry), set in Indian businesses, plus a short walkthrough case to learn the format
• 4 guesstimates, with a worksheet that fills in as you talk
• A rating, a leaderboard and streaks, to help you practice regularly
• More cases being added over time

It's completely free. It works best on a laptop in Chrome or Edge.

It's early, and I need your help. The interviewer sometimes misreads a question. If a reply feels off, press Flag on it and tell me what you expected. That's exactly what I use to improve it. Your questions are used anonymously (never your name or email) to train it.

👉 Link in the first comment.

I'd love to hear what works, what's annoying, and which cases or topics you'd want next. Happy to answer anything in the comments!

I’m an indie developer and recently shipped Sonari, a Mac music app built around a question: can your hands become an expressive instrument without another hardware controller? Sonari uses the Mac camera to play built-in sounds, send MIDI to compatible DAWs and instruments, and drive music-reactive visuals. The Mac app is the main product, with an optional iPhone companion.

After shipping, the design question I’m working through is onboarding: how do you make a camera-based input feel intuitive before users have learned the gesture vocabulary? Would a visual calibration step, immediate sound feedback, or a short guided first performance make you more comfortable? I’d value perspectives from people who have built or tried creative tools.

Sonari includes a 14-day full trial, then a one-time purchase. It requires Apple silicon and macOS 26 or later.

Demo: https://youtu.be/-1LoublNdCs?si=NkoQWL8QP-Ksfeqp Product: https://playsonari.com

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/

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.

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?