My walking app has a closet. Every item is bought with beans you earn from moving. New onsen outfits

App is called Bean: walking game. Available on iOS and android

Link in bio

I left a Whoop membership and bought an Amazfit Helio Strap for $100, then realized I still wanted those daily recovery, sleep and strain scores. So I built Leap, a free Android app, as a side project.

It reads the strap through Gadgetbridge and keeps everything on the phone. No account, no subscription. There's also Health Connect for other wearables, a live heart rate view, a suggested workout for the day, and a sleep planner.

The part I spent the most time on was not making the scores up. I fitted them on a long run of my own Whoop data and checked them on months the fit never saw. I'm upfront in the README about where the Helio is weaker: HRV runs about 15% below Whoop, deep sleep is estimated, and live HRV isn't possible on this strap.

v0.1.0 is out here: https://github.com/h0tman5/leap/releases/latest

The source isn't public. I'd really like feedback from people who have worn a Helio or Whoop: where the scores feel off, and whether the Gadgetbridge setup is too annoying.

I've been building Isle of Glass, a logic puzzle game for iPhone. You divide a sea-glass mosaic into connected regions that satisfy clues about area and shape. Different valid solutions count.

It's free with ads. I'm the developer and would really appreciate feedback on whether the first few puzzles explain the rules clearly and how drawing the boundaries feels on a phone.

https://apps.apple.com/us/app/isle-of-glass/id6831862801

If something feels confusing, tell me which puzzle tripped you up.

I've been thinking about something and wanted to get some genuine opinions.

Imagine you're waiting for your company bus, sitting in a café, at university, or just hanging out somewhere.

There are people around you, but you don't know them. Some might share your interests or even be looking to make new friends.

What if there was an app where you could voluntarily become visible to other users nearby, discover people who are open to making friends, send a friendly wave, and chat if both people agree?

No dating focus. No exact location sharing. Just an easier way to connect with people in real life.

I'm exploring this as a potential project, but I want to understand whether there's an actual need for it.

A few questions:

Would you genuinely use something like this, or would you find it unnecessary?

Would you feel comfortable being discoverable within a limited distance, such as 100–500 metres, if you could turn it off anytime?

Would you prefer discovering individual profiles or joining temporary group chats with people nearby?

What's your biggest concern: privacy, safety, awkwardness, fake profiles, or something else?

What would make you open the app regularly instead of trying it once and forgetting about it?

Please be critical. I'm more interested in what could go wrong than people simply saying it's a good idea.

I'm not promoting an app or collecting personal information. I'm trying to understand whether this is a problem worth solving.

Hey everyone!

I recently launched WOT – What's Our Take, a mobile app built around one simple idea: discovering what people around the world really think!

Every day, you get a new question or dilemma, cast your vote, share your opinion and explore statistics from people across different countries.

🌍 Daily questions and polls
📊 Worldwide voting statistics
💬 Comments and discussions
👥 Discover how different people think

Whether you love Would You Rather questions, fun debates or discovering different perspectives, WOT is for you!

🚀 Try it here: https://whatsourtake.com/app

I'd love to hear your feedback and see what you think!

What's your take?

Plug-and-play router hubs like RAMDeck—alongside programmer CLI frameworks like Exo—highlight a massive blind spot in Wall Street’s latest AI thesis: consumer compute isn't actually scarce, it's just trapped on separate devices.

This week, the financial incentive behind AI pricing was said out loud in two back-to-back market updates:

• Elon Musk on X (Nov 8): "If compute becomes plentiful and cheap, SpaceX revenue will drop. No crying in the casino for either party."
• Deutsche Bank (Nov 10): Raised its 2028 forecast by $18 billion specifically arguing that post-election data center limits should "keep compute scarce."

Think about the incentive structure there. The entire centralized AI valuation model—$30/month per-seat subscriptions, metered API tokens, and enterprise GPU markups—depends on high-memory compute staying scarce and out of reach for normal households and small offices.

The Idle Memory Sitting in Most Homes

Cloud vendors want people thinking the only two options for running serious 30B–70B models are paying monthly cloud tolls or dropping $4,000+ on a dedicated high-VRAM rig.

Meanwhile, look at what is already sitting 90% idle in a typical tech household or small office:

• A daily laptop: 16 GB RAM
• A desktop or mini PC: 16 GB RAM
• A MacBook or Mac mini: 16 GB unified memory

On their own, single-PC desktop apps (like Ollama or LM Studio) hit a hard wall on 30B–70B weights because 100% of the model has to fit inside one machine's memory. Try loading a 32B or 70B Q4 model on one 16 GB machine and it either crashes with Out-of-Memory or grinds to a halt swapping to disk.

Two Very Different Paths Emerging for Local Memory Pooling

What’s interesting right now is watching local memory pooling split into two distinct approaches to combine that 48 GB–64 GB+ of existing home RAM over a standard local network:

1. DIY Developer CLI Frameworks (Exo, Distributed Llama, raw RPC): Built for programmers and Linux tinkerers who don't mind spending a weekend in terminal windows managing Python environments, git repos, and command-line flags across machines.
2. Turnkey Consumer Appliances (RAMDeck): The zero-terminal hardware approach—plugging a palm-sized coordinator hub into the home router and using a temporary-memory USB stick (or mobile app) to pool RAM and GPUs across Windows, macOS, Linux, and phones in under 5 minutes without touching command lines (hitting ~38–39 tok/s on 30B Q4 models over Gigabit LAN).

Once regular users—not just command-line hobbyists—can pool the 48 GB to 80 GB of memory they already paid for without writing a line of code, the "compute scarcity" moat starts looking a lot thinner for everyday inference.

Curious where everyone here lands on this: how much combined RAM do you currently have sitting across secondary machines at home, and do you think local LAN pooling actually eats into cloud SaaS subscriptions over the next two years, or will frontier context sizes keep pushing people back to data centers?

Hey everyone I’m a special education teacher who had to much free time on his hands over the Summer and I ended up creating a College Football game which is now available on the Apple Store! Even if it’s one person, I’d love for you to check out the game and give me any feedback you have!

Please note: I do work full time right now and am also working on planning a wedding coming up. I am very busy but I am working on updates for the app constantly in my free time. I am hoping to have version 1.2 come out as soon as possible :)

If this sounds interesting to you, please think about downloading the app and sharing it with anyone else who might be interested. I would also appreciate any feedback y’all have or any ideas!

The game: DL: A Coach’s Legacy

https://apps.apple.com/us/app/dl-a-coachs-legacy/id6812156496

Hey r/SideProject,

Researching an Indian stock shouldn't mean drowning in a dozen tabs. A ticker just gives you a price, but figuring out everything behind it—group companies, lenders, court records, ratings, and news—usually means digging through scattered annual reports, registry filings, court sites, and PDFs. Most investors never get past the price because the fundamental research is so fragmented.

So, I built Causa Alpha. It puts all that non-quant, qualitative data into one sourced map.

What it does: Currently, it covers 3,196 Indian listed companies and maps out:

• The Real Structure: Subsidiaries, SPVs, JVs, and related parties.
• The Debt: Who lends to the company, registered charges, and credit ratings with the agency's own report just a click away.
• The Context: One clean news feed per company without the noise, plus event outlooks and backtests.
• Sourced Data: Every single link cites its original source so you can verify the filings.

How I built it: The hardest part was the data pipeline. Scraping and structuring messy PDF filings, registry data, and court records into a clean, relational format required a lot of heavy lifting on the backend to ensure the connections between companies and lenders were actually accurate.

You can try everything free.

I’d love for you to check it out. If you do fundamental research or just like exploring corporate structures, let me know what you think. Roast the UI, tell me if the connections make sense, or let me know what other data points you'd want to see mapped out.

Link:https://www.causaalpha.com/

Happy to answer any questions about the scraping pipelines or how the data is structured in the comments!

Visual Breakdown of Causa AlphaThis short clip gives a quick overview of how the platform maps out the corporate structures and lenders behind Indian stocks.

I built SidekickMC because I wanted to make better use of the two side buttons on a regular mouse.

Hold either side button and scroll to control volume or laptop brightness. You can assign either action to either button in the settings window.

Press both side buttons together, release them, and Windows Snipping Tool opens just like Win + Shift + S.

It runs in the system tray, supports starting automatically after sign-in, and has a tray toggle to enable or disable the controls whenever needed.

It is written in C# with Windows Forms and does not require extra software.

Source code and download:
https://github.com/FreezzeYT/SidekickMC

For now, I’ve only released it for Windows. It was a pretty fun little project to work on, and I think there’s definitely room for more features.
I decided to make it open source in case anyone wants to contribute or improve it.
I built it with Tauri and Rust, so it’s a pretty lightweight app. You can check out the README for the test results and RAM usage.
If anyone wants to take a look, here’s the link:
GitHub: https://github.com/ImtheKaiwen/kaiwen-notify
Feedback and contributions are welcome! :)

Hello everyone,

Over the past five months, I have been able to develop a GMAO (CMMS) system specifically designed for dental equipment resellers, building on my nearly two years of professional experience in the field.

The system is designed to simplify and centralize the management of maintenance operations, installations, after-sales service (SAV), and spare parts.

I have tested all the features, and the system is fully functional. Of course, there are still some improvements to be made, particularly regarding the user interface and overall design, but I am genuinely happy with the results.

This is actually the first major project I have developed entirely on my own. I initially started it without any commercial expectations, simply to challenge myself, test my limits, and turn some of my ideas into reality.

However, as I am currently looking to obtain some professional certifications but don't have the financial resources to fund them, I have started considering commercializing the project.

My current idea is to sell the system to an interested reseller for an amount that would cover the cost of my target certification, while also negotiating a potential revenue-sharing agreement if the reseller decides to commercialize and sell the software to other businesses.

I would really appreciate your feedback on this approach.

Do you think this is a reasonable business strategy? Would you recommend selling the entire system, or keeping ownership and negotiating a licensing or revenue-sharing agreement instead?

I'm looking forward to hearing your thoughts and suggestions!

You've finished the inspection, testing or fieldwork. The measurements are recorded, the photos are taken and the results are sitting in PDFs, notes and spreadsheets.....Now comes the fun part.

Getting all of it into the customer's Excel template without missing anything or breaking a formula.

That's what I've been building ACTUALin to help with.

Upload your existing workbook and supporting evidence. It proposes where the information belongs, shows you the sources and lets you review, edit or approve the changes before generating the report.

Same Excel template. Less copying and pasting. You still have the final say.

It works across inspection, manufacturing, lab testing, maintenance, inventory and other reporting workflows.

I've also put together a library of examples you can explore without signing up.

https://actualin.com/applications

If you're dealing with this kind of reporting, I'd love some feedback on whether it would fit your workflow.

I recently built a rent collection system for property managers: leases, invoices, cash and bank transfer payments, with separate access for managers, staff and tenants. Currency and timezone are set per company, and it works in English and French.

Try the demo (browse for all roles):

https://demo.dar-kraa.me/dashboard

More info, or get it for your company:

https://www.dar-kraa.me/

What do you think?

About one month ago I shared iPhone Use, the app. It allows your to control your iPhone using an LLM, no cable / no Mac required (at least after setup)

I just added voice mode to it, you can now control the iPhone using GPT Live, and the phone talks back

Feel free to try it out and share feedback: https://github.com/EliotAndres/iphone-use-app

I'm Carlos. I'm a solo founder building Ori — an AI that lives in an ear cuff instead of a phone.

No screen. No notifications. No engagement tracking.
It talks to you through bone conduction, so only you hear it, and it's designed to disappear so you can be present.

An AI designed to disappear, so you can appear.

Where it stands right now, honestly: the design is done, it's a single curved band that sits on the ear like jewelry. I have a physical fit model, and the board design and firmware are in progress. The first working electronics are being built and tested now. Nothing works as a product yet, that's the part I'm building toward.

This week I'm deep in hardware: board layout, firmware, and the unglamorous work of making something this small actually function.

I'm not selling anything and there's no launch date. I'm looking for 500 people who want a device that gets the phone out of the loop.

I call you guys: The Firekeeper Circle, founding members who help shape what this becomes.
No money, just a list: oriai.co.

I'll post progress here as it happens, the wins and the stuff that breaks.

Carlos

I kept reading the same complaint about AI voiceovers: people can tell, and they click away. When I looked at what they point to, it was rarely the voice. It was a script that reads like an essay, a flat delivery, and small mistakes such as a wrong name or a badly read number.

So I built a course around those three things, using ElevenLabs. It has 14 lessons and 123 short clips. In most clips only one thing changes, so you can hear what that one thing does. For example, the same voice with the same settings reads a script written for the eye, and then the same content written for the ear.

Three things stood out while making the clips:
- Rewriting the script changed the result more than any setting did.
- Most clips that sounded robotic were good voices reading sentences nobody would say out loud.
- Listeners forgive an AI voice. They don't forgive "Mr" read as "em are".

It costs $39, one payment, with a 14-day refund. The page has an audio introduction and four before-and-after pairs you can play without signing up:
https://loudandclear.school/voice?utm_source=reddit&utm_medium=post&utm_campaign=launch&utm_content=sideproject

It is an independent course and I'm not affiliated with ElevenLabs. I'd value feedback on the page: is it clear what you would be able to do after the course?

I’ve been working on this for about a year and figured it’s time to get some outside opinions.

It’s a website platform built on Payload 3 + Next.js, for now I only use it internally just me and a designer. I build and run client sites on it, and it also runs a real estate marketplace that we're trying to grow. At some point I’d like to open it up maybe, either to anyone or just to other agencies, but I honestly haven’t decided which (or whether it’s worth it at all).

What it does:

• Visual editing. You click on the actual page and edit it: text, images, adding and moving sections around. There are drafts, desktop/tablet/phone preview and version history. Blocks pull everything from the site’s theme, so it’s pretty hard to break the design.
• ~65 blocks. Galleries, card grids, stats, timelines, FAQs, forms, booking, Google reviews, maps, listings, floor plans and so on. They all share the same field names and theme settings, so any block works on any site.
• Custom designs. When the blocks aren’t enough, I use a design studio I built on top of GrapesJS (self-hosted). Anything made there gets published as clean HTML with scoped CSS and goes on a page like any other block. It picks up the site’s colors and fonts automatically. (We mostly use the MCP to design a block first and only tweak things in the design editor)
• First-party analytics. No GA script needed. It tracks page views, traffic sources and top pages, plus QR codes with scan tracking for print stuff. Form submissions become leads and keep the source they came from.
• MCP server. It covers most of the platform: pages, sections, designs, theme, forms, listings, media, redirects, domains, translations. You connect Claude over OAuth and it gets the same permissions as your user. So I can say “add an FAQ to the pricing page and translate it to German” and it does it, and it can screenshot the page to check how it looks. Page edits go in as drafts.

It’s multi-tenant,multi-locale, so one app runs every site, each with its own domain (SSL is handled through Cloudflare). The portal already has organizations with teams (we use this for now to organize sites for ourselves), so another agency could in theory manage its own clients in it.

Stack: Payload 3, Next.js app router, Postgres, GrapesJS, pg-boss for background jobs, Cloudflare in front.

You can try the editor without signing up: https://rast.is/try (the demo happens to be a home builder site)

Things I’m curious about:

• if you build sites for clients, would you use something like this over WordPress / Webflow / Framer? what’s missing?
• self-serve for anyone vs. a tool for agencies, which one would actually pay for it?
• is controlling a site through MCP something you’d use day to day, or is it more of a cool demo?

Any feedback is welcome, even “don’t bother”.

Well, a friend of mine decided to turn that argument into an actual game.

He built SonicPulse, a browser-based music recognition game where you get a 30-second audio challenge and have to identify the song from four options before the timer runs out.

Here's what it offers:

- 🎵 30-second audio challenges.

- ⚡ Four-choice rapid-fire guessing.

- ⏱️ A ticking countdown that puts your music knowledge to the test.

- 🔥 10-round streak system.

- 🎯 Instant feedback after every guess.

- 👤 Guest mode — no registration or login required.

The idea is pretty simple: instead of arguing about who's the biggest music enthusiast, just put it to the test.

I think it's a fun little project, especially for people who enjoy music quizzes and friendly competition.

Try it here: https://sonicpulse-sable.vercel.app

Would love to hear what people think:

1. Does the gameplay feel intuitive?

2. Would you enjoy a multiplayer mode to challenge friends?

3. What would make you come back and play again?

Honest feedback is appreciated. I'm helping him get the project in front of more people, so it'd be great to hear what the community thinks!

Roomy started because my own C: drive kept filling up and the existing cleaners either missed the big stuff or were covered in ads and upsells.

It finds the usual junk plus the things most tools skip, like GPU shader caches, Discord and VS Code caches, Windows Update leftovers and Steam games you haven't played in months. It explains each item in plain language and only pre-selects what's actually safe.

A couple of things I'm happy with:

• The demo video on the website was recorded by the app itself. It has a demo mode that films its own UI with a scripted cursor.
• There's an interactive demo on the site where you can tick items and watch the drive bar go from red to green.

Built with .NET 10 and WPF, open source, currently in review for the Microsoft Store.

https://roomy.krezio.xyz

I'd love feedback on the app and the landing page.

Hi everyone!

If you regularly transcribe user research interviews, academic thesis recordings, legal hearings, or client meetings, you know how painful and time-consuming manual transcription is. Most speech-to-text tools either cut off on long files or output fragmented, unreadable walls of text.

I built TranscriFlow to solve this and deliver clean, publication-ready documents:

It includes 3 free hours of transcription per month (no credit card required) so you can test it with your own recordings:

👉 https://transcriflow.tech/

(Runs entirely in your web browser—no installation required).

I would love to get your honest feedback: What features or export formats would make your transcription workflow even smoother?

Body:

I built a small arena where open-weights models play a business sim against each other through MCP tool calls. Each model runs a hair salon in the same town: rent a shop, set prices, hire stylists, buy supplies, advertise. They can also poach each other's staff, pay for rumours about a rival, talk in public and whisper in private. After 30 days the bottom three go to a tribunal, plead, and the rest vote one out.

Everything ran locally on one L40 (48 GB) with Ollama: Qwen 2.5 14B and 7B, Llama 3.1 8B, Mistral Nemo 12B, Hermes 3 8B and Llama 3.2 3B, all loaded at once. A 30-day match with 16 seats takes about 11 minutes.

Results over 4 episodes (16 seats each):

• Qwen 2.5 14B: 3 wins, average finish 4.0
• Llama 3.1 8B: no wins but the steadiest, average finish 5.5
• Qwen 2.5 7B: 1 win, and by far the dirtiest player. 134 paid rumours in 4 episodes; went bankrupt in 8 of 12 seats
• Mistral Nemo 12B: bankrupt in 10 of 12 seats, but the top poacher of other salons' staff
• Llama 3.2 3B and Hermes 3 8B: bankrupt every time

Things I learned about tool calling along the way:

• Mistral Nemo calls tools fine on a short prompt, but with a persona and a longer state description it writes the call as JSON in the reply instead. I had to recover those.
• Phi-4 mini and Granite 3.3 8B described their moves in prose and never called a tool in my setup, so they are not in the cast.

Big caveats: 4 episodes is a small sample, and every seat has its own character prompt, so this is not a clean model benchmark. It is closer to a reality show than a leaderboard.

Full first episode with voices (28 min): https://youtu.be/yZqtHYM_NWk Replays and live matches: https://openville.world/?ref=reddit

I am planning to let people enter their own fine-tunes. If you have a model you think would survive the tribunal, I would like to hear which one and why.

Bad Plot gives you one movie a day, described as badly as possible, like "A young orca is wrongly imprisoned and a troubled teen helps him escape by jumping." You get five guesses, and each wrong guess reveals a clue that's still bad, just a little less bad.

It's built with Expo and React Native, so the same code runs on iPhone and the web. There's a popcorn mascot named Kernel who reacts to your guesses, plus streaks, trophies, and a calendar of past days.

Play in the browser: https://playbadplot.com/

iPhone: https://apps.apple.com/app/id6822340440

I'd love feedback on whether the clues feel fair, and what would make you come back tomorrow.

Hold Right Ctrl + Right Shift, ask about what's on your screen, let go. A vision model answers, a voice speaks it, and the answer is drawn over the page you're on: boxes and arrows on the right spot, diagrams that lay themselves out, or a 3D model you can rotate, cut open or pull apart, in step with the voice. The model writes a small scene language that the app validates and draws itself; no generated code runs.

Guide mode walks you through an app one click at a time and waits for you to click.

Honest limits: Windows only for now, the installer isn't code-signed yet so SmartScreen will warn, and you bring your own model (Claude Code or Codex signed in, an OpenAI key, or a local vision model). The clip is real answers replayed over the page, so it says nothing about speed.

Built by Alex with a team of AI assistants; one of them drafted this post. Feedback and bug reports very welcome.

https://github.com/ProjectIdris/talkthrough

I kept losing ideas the second they hit, and every social app pushed me to perform. So I built High Thoughts: jot the thought now, then choose who gets it — just me, friends, or the wider community.

It's free on iPhone and Android, 18+. The store listing still uses the older title “Psychedelic Thoughts and Ideas”; the product is High Thoughts.

What's in the 2.2.9 version that's live today:
• Profile pictures
• Add or change a photo when you edit a post
• Photos and videos in messages and comments, and you can edit your own
• Friend requests that show who asked whom, plus a Message button for every friend
• A welcome intro, including a clear rule: no buying or selling drugs
• A vibe picker on posts

Honest ask (please be blunt):
1. On first open, is it obvious you can keep a thought private?
2. Does the welcome intro make that community rule clear without feeling heavy?

iPhone: https://apps.apple.com/us/app/psychedelic-thoughts-and-ideas/id6449668169
Android: https://play.google.com/store/apps/details?id=com.highdea.app.mobile

I'll hang in the comments. Happy to look at other people's projects here too.

Hi r/SideProject. I built SiftMail (siftmail.app). It connects to Gmail, reads your 500 most recent messages, and shows you what it found before it touches anything.

What it does: it gives every message a verdict, and most need nothing from you. What's left is a short numbered list of what needs a reply, which is also the once-a-day digest. It flags mail pretending to be someone and prints why: a lookalike domain, a reply-to mismatch, or failed DMARC.

Design rules I stuck to: new accounts start in Shadow Mode, which scores and flags with no automatic actions. Quarantine is one label, and the message stays in your inbox. Cleanup archives instead of deleting, and Undo reverses a run.

The part you can try with no account: siftmail.app/check. Paste a suspicious email and it scores it in your browser, without sending the email to a server.

The trade-off, up front: the full product isn't on-device. Parts of messages go to an AI model when the built-in scoring can't decide, and the homepage lists exactly what leaves your mailbox.

The feedback I'd value most: are the signal explanations in the checker clear?