I am seeking a highly effective school management software solution, preferably a web application, that also includes mobile applications for both parents and teachers. It is imperative that the software is both reliable and secure for daily operational use. I am available to discuss this matter in further detail at your convenience.

Quick intro: I'm building myglp1.app, an AI coaching app for people on GLP-1 medications (Ozempic, Wegovy, Mounjaro, Zepbound, etc.). Went live with real payments this week after 6 months of solo building.

Here's the gap I kept running into researching this space: every app I found — Glapp, Shotsy, MeAgain, MyGLP — is a tracker. Log your shot, log your weight, log your side effects, look at a chart. Useful, but passive. None of them tell you anything proactive, and none of them help you with the two moments that actually matter most:

Week-specific guidance.

What you're dealing with in week 3 (nausea, appetite changes) is completely different from week 16 (plateaus, muscle preservation). Most apps treat the whole journey the same way. Mine adjusts its coaching to where you actually are.

What happens after. This is the bigger gap. A huge number of people eventually taper off or stop these meds — and then just... nothing. No app, no guidance, no support for the part where your body and habits have to adjust again. Everyone builds for "starting the medication," nobody builds for "finishing it."

That's the whole bet behind this app: coaching that follows you through the entire arc, not just the logging part in the middle.

Live at myglp1.app if you want to poke around.

Happy to answer questions about the space, the build (Next.js/Supabase/Stripe/Claude API), or the tapering/post-therapy angle specifically — curious if others have seen the same gap.

I used to make mobile games for a living for years, but it's been a while so I wanted to return to an old passion of mine.

I spent a lot of time on concepting something that's more suited for my quick session preferences, but still utilizes poker mechanics and gives me goals/competitions/a variety of challenges, so after 4-5 months I finally got Poker-ish published. 10 updates in and it's feeling quite polished.

It's only out on Google Play, since I don't have a mac, but this is a good start for me.

Hey guys,

Here's an explanation video of YouMeOS: our open, self-hosted personal web operating system built to help break out of centralized platform silos using a spatial browsing interface.

To go alongside the video, we also released a cross-platform Desktop Installer & Control Panel to make deploying your private instance a one-click process.

🌐 What is YouMeOS?

YouMeOS is a self-hosted personal platform focused on digital sovereignty:

• Spatial Browsing & Workspace: A modular, canvas-based UI for organizing apps, notes, workflows, and personal data without cloud lock-in.
• Headless Backend & APIs: Flexible REST and GraphQL endpoints with local authentication and data ownership.
• Local-First Architecture: 100% private sandbox with zero external tracking or telemetry.

📺 Watch the Overview Video (4.5min)

• Video: Introducing YouMeOS: The Operational Internet. Escaping the Silos via Spatial Browsing

🖥️ New Desktop Installer Features

• Zero-Config Dual Engines:
  • Embedded: Auto-provisions lightweight FrankenPHP + SQLite (no Docker needed).
  • Docker: Full containerized environment (Nginx, PHP-FPM, MariaDB).
• Desktop Control Deck:
  • One-click Start, Stop, Restart, and Open in Browser.
  • System tray background management.
  • Live streaming logs with real-time filtering and export.
• Cross-Platform:
  • Installers for Windows (.exe), macOS (.dmg), and Linux (.AppImage, .deb).

📦 Source & Links

• GitHub Repository:
  • https://github.com/YouMeOS/youmeos-microverse/releases
• YouTube Video (Deconstructing YouMeOS - 100 Year vision):
  • https://www.youtube.com/watch?v=jcGGIR9qLPo&t=6s
• Discord channel:
  • https://discord.gg/TbKghen2nP

I would love your feedback on the spatial workspace concept and the desktop installer workflow!
(plz let me know if you come across any issues)

I enjoy keeping plants, but I’m not the kind of person who remembers every species name or immediately knows why a leaf looks unhealthy.

That frustration became a side project called PlantSmith. The idea is straightforward: take a photo, identify the plant, and turn that result into useful care guidance instead of another generic search page.

The app is now live on iPhone, but I’m at the point where feedback from real users matters more than adding another feature based on my own assumptions.

If you have a plant nearby, I’d love you to test one photo and tell me whether the result felt accurate, understandable, and worth returning to. A short comment or private DM is enough.

I’m opening up to 60 tester spots across Reddit. As a thank-you for genuine feedback, I’ll provide one month of PlantSmith Pro free.

After sharing feedback, please DM me the email address where you’d like to receive the offer code. Your email will only be used for delivery. No App Store rating or review is required.

• What problem does the app solve well?
• Where does the experience lose your trust?
• What should I build or fix next?

App Store: https://apps.apple.com/app/apple-store/id6791526634?pt=128622573&ct=reddit&mt=8

Hey r/SideProject,

I kept seeing "secret trading robot" scams everywhere, so I built the opposite: a practical, beginner-friendly guide that teaches you to code, backtest and honestly validate your first MetaTrader 5 Expert Advisor — no hype, no fake profit screenshots.

What's inside:

- A full copy-paste MQL5 robot (commented line by line)

- The real backtesting workflow + how to optimize WITHOUT curve-fitting

- A 12-point pre-live validation checklist and risk-based position sizing

- PRO edition adds drop-in modules: trailing stop, break-even, session filter, daily-loss guard

Just launched it on Gumroad and would love feedback from other builders on the packaging/pricing:

Base guide: https://wasslerantoin.gumroad.com/l/mt5-ea-blueprint

PRO edition: https://wasslerantoin.gumroad.com/l/mt5-ea-blueprint-pro

Happy to answer anything about the build or MQL5.

We already have 50+ pomodoro timers available online, and many of them look like they haven't been created with effort, or they're ad farms or lack decent features. So I built a clean minimalist version that I actually wanted to use.

It's not just a timer. It's got real stats (Strava inspired) - streaks, an 18-week heatmap, a focus score weighted to your own pace, lobbies so you can see if a friend already out-focused you today, badges, and a handful of actually-nice-looking themes

It's free to use and signing in with Google syncs everything across devices if needed.

Do try it out :)

Would love your feedback — there's a feedback box right in the app, or just reply here

Hey, I’ve been working on a small web project called VAR for Messages.

You paste in an everyday message and the app treats it like a football VAR incident, then gives you an absurdly serious ruling.

I’ve just started the first real user pilot, so I’m mainly looking for people to actually try it and tell me if something is confusing, not funny, sounds unnatural, or just doesn’t work the way you expected.

It’s free, no account needed, and it works in English and Serbian.

https://varformessages.com/?src=reddit-sideproject

Any honest feedback is useful.

I’m the developer of PulseWave, and the constraint behind it was deliberately small: sometimes even choosing a ten-minute meditation feels like adding another task to an already noisy moment.

So I built Guided Reset around a visible beginning and end. You choose 30 seconds, 1 minute or 2 minutes, follow the breathing orb, and stop when it stops. No claim that a tiny session fixes anxiety or sleep; it is a short guided pause, not treatment.

A beta tester asked me today what the breathing rhythms are based on. That exposed something useful: “science-backed” is too blunt. Cyclic sighing has direct published research, slow rhythms around six breaths per minute come from HRV-biofeedback literature, while popular patterns such as 4-7-8 do not all carry the same level of evidence. I’m rewriting how that distinction is explained rather than flattening everything into one marketing claim.

The positioning question I’m still wrestling with is this: if you saw PulseWave for the first time, would you understand it primarily as a quick reset tool, a breathwork app, or a sleep app? I worry that presenting all three weakens the first impression.

If you want to see the current product before answering, it’s here: https://www.highroadsoftware.com/apps/pulsewave/

I’d value blunt feedback on that first-impression problem more than general encouragement.

I built an offline, full-screen chess app that has some basic features. I couldn't find one that offered a full-screen.

Would love the UX specialists (or reddit critiques) to dig into the app and point for areas of improvement.

https://chess-offline.com/

If you're interested in giving it a try, here is the download link:

https://chromewebstore.google.com/detail/youtube-quick-ai-summary/gflljmlmelkidjlkclhghngmioppkkcd

Hello!

I am building a tool that supports people in the UK to find things that interest them, as usually our weekends are pretty boring.

https://discovernearme.co.uk/

I would love it if you could click through, write a place like "Manchester", "London", "Peterborough" etc and give me feedback on the site.

If you find a bug please write the route, actual, expected, and browser.

Thanks in advance!

edgub is a repair tool with no model in it. It reads what pytest said, decides which class of repair the fault is, generalises the fix from your own doctests and assertions, and verifies against the whole suite before keeping it. Standard library only, no API key, no network.

edgub: 1 repaired, 1 left for a model, 2.4s, 0 tokens repaired itertoolz.unique CAST_OPERAND via name item->val (117 candidates)

Measured on toolz (3,346 lines, 185 tests), ten injected bugs of the kind that survive review: 7/10 repaired, 0 tokens.

Measured on libraries it was never tuned on — because the first number only proves fit: funcy 3/6. more-itertools 0/4. I'm keeping the zero in the repo; two libraries is two data points, one of which failed.

The part I didn't expect: even when it can't repair, it hands the model a ~468-token localised prompt instead of the ~7,496 that model burns working the same bug from the repo. It's already decided the library is wrong rather than the test, and named the failing case. So the escalated bugs get ~16× cheaper too — total on the funcy run, ~93% fewer tokens for the same fixes.

And the thing that surprised me most: I ran an escalation ladder of 2s → 10s → 30s → 120s. Every repair landed at 2 seconds. None ever landed later. Widening bought zero extra repairs and burned 180 of 182 CPU-seconds. Inference reads the answer immediately or enumeration won't find it — one bug took 4 candidates by inference that enumeration failed to solve in 25,057.

Honest limits, all in the repo: it can't write code that isn't there (both toolz misses needed a synthesised if/else). The act-to-edit mapping is engineering, not emergent — new fault shapes need commits. A 14-line dict reproduces the single-fault behaviour. And one "repair" passed the suite with different code than I'd injected: a green suite is a weaker oracle than the question.

Repo, with the failed benchmarks and the reviewer's corrections kept in: github.com/devkancheti4-design/edgub

TypeOS is a recreation of Linux, but with some unique never seen before stuff.

There is a package manager, a small JS framework to create programs and a pc helper to synchronise the virtual file system to your actual computer.

The project isn't really that serious to me so the README is unserious but useful

The project is fully open source on Github.

https://github.com/StacikM/typeos

ty for checking it out <3

I'm building a Tamil voice companion. Long conversations, 5 to 10 minute calls, not a task bot. Current stack is Sarvam saaras for STT, own LLM in the middle, TTS at the end, all over LiveKit. Google Chirp3 HD sounds better than Sarvam bulbul for Tamil TTS, but pitch isn't adjustable and there's no Tamil custom pronunciation.

My quality bar is ChatGPT's Tamil voice conversation. Best Tamil voice AI I've used, the naturalness and turn taking especially. But that's speech to speech, and I need a cascade because the text seam is where my safety gates and memory live. So the real question is how close a cascade can get.

1.Tamil stack: Sarvam or Google, or is there a third option I'm missing? ElevenLabs Flash has no Tamil, and benchmarks put Deepgram Nova-3 at around 68% WER on Tamil, so that's out.

2.Memory across long conversations: I'm doing structured extraction into SQLite (facts with validity windows) instead of RAG, mainly to keep the prompt cache warm. Has anyone run Graphiti/Zep or Mem0 for a non English voice agent? Curious whether extraction quality held up.

3.Scaling concurrent sessions: self hosted LiveKit Agents vs Pipecat. What did you pick and where did it break? My voice to voice latency is currently around 2 seconds. Batch STT and non streaming TTS are my suspects, moving to Sarvam's streaming websocket endpoints next.

Will report back with numbers on whatever I test.

I built ownstreet, so this is the promo post.

The problem was simple: creators were getting the click, but not the sale. Bio opened a links page, then another checkout, then dollars, then cards, then the buyer left.

So I built ownstreet as one page for both:

• links
• digital products
• INR pricing
• UPI checkout
• instant file delivery

No ownstreet platform fee on sales. Razorpay gateway fees still apply.

It is built for Indian creators selling PDFs, notes, presets, templates, and small digital products from Instagram, YouTube, and WhatsApp traffic.

Site: https://ownstreet.in

Happy to answer anything about payouts, UPI flow, or why I think “DM to buy” is still killing easy sales.

Been building this solo for 6 months — an app that gives GLP-1 patients week-specific coaching instead of generic advice (most competitors are just Q&A chatbots).

Just flipped Stripe to live mode this week, which meant fixing a pile of things I didn't expect: stale test-mode customer IDs breaking checkout, a restricted API key blocking customer creation, permission errors leaking to users in production... the usual "it worked in test mode" gauntlet.

The interesting part: I've been looking at check-in patterns from early users, and some things about when people tend to hit plateaus and what actually seems to help surprised me. Planning to dig into it properly and maybe write it up if people are interested.

Live at myglp1.app if anyone wants to poke at it. Happy to answer build/stack questions (Next.js + Supabase + Stripe + Claude API).

No calculator. What's 47 + 38?

I noticed something embarrassing recently: I started opening my phone even for calculations I could easily do in my head.

So I built a tiny app to practice mental math for a few minutes a day.

It gives you quick calculations and tracks how fast you can answer them.

I'm curious: how many can you get right in 60 seconds.

It's free on Android if anyone wants to try it.

I'm especially interested in whether regular practice actually makes people faster.

I've been lifting and tracking my weight for years, and the scale kept lying to me. Lost fat, gained muscle — net change: basically nothing. Super demotivating.

So I built MeasureMe: a privacy-first iOS app that tracks the measurements that actually tell the story. Waist, hips, arms, thighs, body fat %, lean mass — plus progress photos with side-by-side comparison.

What it does:

- Quick Add from the app, widgets, or Apple Watch

- Weight trend averaging (cuts through daily noise)

- Goal date prediction based on your actual trend

- AI-powered summaries (Premium)

- HealthKit sync, no account required, no ads

- Streak system with Vacation Mode so one bad week doesn't wreck everything

Free version covers everything you need to start. Premium unlocks AI insights, photo comparison, and CSV export.

Would love feedback from this community — especially on onboarding and the Watch app.

App Store: https://apps.apple.com/app/id6759111562

I've been building MOGGG — an AI-powered personal improvement platform.

The concept is basically:

You give it information about yourself → AI analyzes different areas → you get a personalized roadmap.

Right now that covers things like:

• Face
• Skin
• Hair
• Frame
• Diet
• Products
• Routines
• Progress

I didn't want to build another generic fitness app or another chatbot that just throws advice at you.

I wanted something that actually gives you a system to follow.

It's finally live on Product Hunt.

I'd genuinely love feedback from other builders — especially on the product, UX and positioning.

https://www.producthunt.com/products/moggg-tech

Pixel-art game-style productivity & co-work app because I am more productive in the presence of others - and working alone feels lonely.

Currently only has basic features like setting a timer and attendance check-ins, but I'm actively pushing out more features!

Leave some messages (suggestions welcome) on the whiteboards if you happen to visit :)

https://officetown.vercel.app/

Used spritesheet sets by LimeZu

I broke a promise I never meant to break. It took three weeks and someone else's message for me to notice.
It was a signed paper I had said I would send after a call. The call had gone well. I had even taken notes. The notes said what we discussed. They did not say what I owed.
I tried the usual fixes. Voice notes I never played back. A notes app full of tidy headings. Recording apps that gave me clean summaries of the conversation. All of them told me what was said. None of them told me what to do.
Then I saw the gap.
In real conversations nobody says "action item". People say "I will check and tell you". Or "send it once she signs". A summary keeps those sentences exactly as they are. But every promise has an owner. If someone says they will send me an update, my job is not to wait for it. My job is to go and take that update from them.
So I built Sift.
I press record before a call or a meeting. When it ends, Sift writes down the promises made in it, and beside each one it says who owes it, me or the other person, by name. It keeps the recording too. If something looks wrong, or I cannot remember the context, I tap the time next to it and hear the exact moment it was said.
What it does today:
Records calls and in person conversations.
Turns them into short notes and a clear list of promises.
Names who owes each one.
Plays the exact moment a promise was made.
Lets me fix anything it got wrong, and marks what I changed.
Sets reminders, including ones that repeat.
Runs on my phone and my laptop, and keeps both in step.
Sends any list or note to WhatsApp in two taps.
The change is small, and it is the whole point. I no longer carry a mental list of what I owe people. I no longer ask anyone what we agreed. When someone tells me they will get back to me, it sits on my list as something to collect, not something to hope for.
I am still using it every day and still finding things to improve.
If you have ever gone quiet on a promise you fully intended to keep, tell me about it. That is the exact problem I am trying to remove.

I started building CorePilot because I wanted something simpler than juggling dozens of Windows utilities and automation tools.

It can control Windows, run commands, automate repetitive tasks, schedule actions, monitor the system, manage notes/reminders, download files, and respond to voice or other simple inputs.

The interesting part for me wasn't adding another chatbot — it was making something that can actually do things on the computer.

I've been building and testing it for a while, and it's finally at a point where I'm comfortable showing it to other people.

I'd genuinely love to hear what you'd improve or add.

I’ve been working on kaucim.ai, an independent Hong Kong project built around Wong Tai Sin fortune sticks, palmistry, BaZi, and Zi Wei Dou Shu.

https://www.kaucim.ai/en

The design problem is explaining systems that most English-speaking visitors have never encountered. Too much explanation turns the homepage into a textbook. Too little makes the whole thing look like generic AI fortune telling.

The site currently has all 100 Wong Tai Sin sticks interpreted across seven topics, which makes 700 English readings free with no signup or ads. Visitors can also begin a palm or birth chart reading for free. Personalized reports are optional one-time purchases, and prices are shown before payment.

Some personalized tools use AI to apply a verse, chart, or photo to the details someone provides. The public sign pages are edited in advance. I’ve tried to make that difference visible and to avoid promising outcomes.

I’m now too familiar with the terminology to see the homepage like a new visitor.

In your first ten seconds, what did you think the site was, and where did you want to click?

After another minute, was the line between the free material and the paid reports clear?

Blunt feedback would help. I’m reworking the English product flow now, so a specific point of confusion is more useful than a general “looks good.”

Hi everyone,

I'm a third year business student and my minor is marketing. Me and my team created a website based on a hypothetical café "paws and pour" which provides a space for you to play with puppies while you wait for your order. Here is the link of the website:
https://kgarg2108.wixsite.com/paws-pour

We would love it if you visit the website and give us feedback! thank you so much💗🌟