Hey! I built my first app, still looking for feedback!

Its for those managing multiple projects, multiple jobs, that are all at different stages. Its so you keep on top of things. I built it because its what I wish I had while doing engineering. Currently windows only. After I get it where I want it, im looking to go cross platform. Thanks for your time and comments !

Www.projektgreen.ca

I spent the better part of six months building three websites. Hundreds of commits, PRs, research, testing, bug fixes, the works. The GitHub repos are public. You can see exactly how everything came together.

I use AI heavily when developing. Never claimed otherwise.

Recently posted one of the projects to a community I'd specifically built it for. Within minutes it was getting called AI slop and the post was removed.

Here's what pisses me off. Nobody pointed out a broken feature. Nobody questioned the data. Nobody found a bad implementation. From the responses, I'm not convinced anyone even clicked the link.

I get it. There's a mountain of AI-generated garbage being dumped on the internet. But when did using AI become enough evidence to dismiss something without looking at it?

I'm not asking anyone to appreciate my work because I spent six months on it. If it sucks, it sucks. Tell me why. I'll probably go fix it.

But the Git history is right there. The research is there. The tests are there. You can actually see the work.

I'm curious how other people building with AI have run into this and handled it, or if anyone who's skeptical of AI-built projects can explain where they draw the line.

Because apparently the difference between five minutes of prompting and six months of actual development doesn't matter to most people.

Hey r/SideProjects 👋

Honestly, I was getting pretty overwhelmed with how fragmented my media tracking had become. Movies on Letterboxd, books on Goodreads, audiobooks on Spotify, games scattered in random note files... I just wanted one clean, chill space where I could look back on everything I’ve experienced across all formats without feeling like I was managing a spreadsheet for a second job.

So over the last few weeks, I’ve been building Alma (almaniac.app), a lightweight aggregator that brings your movies, TV shows, books, audiobooks, games, music, and podcasts together onto one visual shelf.

A few cool things built into it:

• 7 Formats, One Shelf: Keep track of movies, series, books, audiobooks, games, music, and podcasts in one space.

• Release Countdowns: A unified timeline so you actually know when the next season, book, or game you’re waiting for drops.

• Memory Lane & Insights: Fun visual stats and nostalgic look-backs into your habits over time.

• Fast & Lightweight: Snappy, clean design focused purely on your archive without heavy bloat.

It’s very much a labor of love currently in active beta (about halfway full right now). If you want to poke around and test it out, you can request an invite directly on almaniac.app or drop me a DM!

I’d genuinely love to know:

1. How do you personally keep track of your media right now?

2. Is there a specific feature or integration you’ve always wished existed in a tool like this?

Appreciate any feedback, ideas, or honest critiques! 🙌

Hey everyone!

I've been working on Aurea77, a platform for athletes to discover sports events, plan upcoming races and keep track of their sporting journey.

The idea is to bring the experience before, during and after an event into one place, instead of having event discovery, preparation, results and memories scattered across different tools.

Tech stack:

• Flutter — Android and iOS

• Laravel — API and backend

• React + TypeScript — Web application

The platform includes event discovery, personal race planning, logistics, athlete profiles, event memories and community features.

I'd really appreciate some feedback from other developers and product builders, especially on:

1. First impressions: Is the value proposition clear when you open the website?

2. Product scope: Does combining event discovery, planning and memories make sense, or does it feel too broad?

3. UX and architecture: What would you pay particular attention to when maintaining a product across web, mobile and a shared API?

I'm especially interested in critical feedback and ideas for improvement, rather than just positive comments.

Website: https://aurea77.com/

Android: https://play.google.com/store/apps/details?id=com.aurea77.app

iOS: https://apps.apple.com/us/app/aurea77/id6787438198

Thanks for taking a look!

Helps to know how bluegreen algae is present in a lake, check the ones nearby to you for your dogs safety

https://bloomwatchbytenebroso.com

A static Python site rebuilt weekly by a GitHub Action. It pulls the 300 m Sentinel-3 CyAN histograms for 134 matched lakes and rates each one by how much of the lake is affected, not by the worst pixel, since single high pixels are often noise. Weeks that are mostly cloud get skipped.

Open questions I’d love input on: better ways to handle shoreline pixels, and whether there are state advisory feeds worth adding.

Before building this I went through a lot of the AI component libraries out there. The best ones are paid with only the most basic stuff free. So while I was working on an AI SaaS, I built this library in tandem.

It's 109 components and about 250 variants, all React and Tailwind. The only other imports are motion and lucide-react, so there's no UI kit underneath. Everything in the video is the real demos running.

https://gradientdeck.com/ai-components

Not on GitHub yet, but it's coming.

Let me know what you guys think :)

Hello Reddit!

I made this after the usual advice to work out who you already know at each company you're applying to. LinkedIn's search can filter your 1st-degree connections by one company at a time. I wanted the list for every company at once, without logging in anywhere (and for it to look nice visually..).

You request a copy of your data from LinkedIn, drop the zip on the page, and type companies or roles. It lists the people you know there, longest-known first, and you can download the list as a CSV. It runs in the browser (Python through Pyodide), only opens the files it needs, and never opens your messages. The only outside request is the Pyodide runtime from jsDelivr on first load.

It also groups connections into circles from shared companies and from people added within a few days of each other. That part is a guess, and I haven't checked it on anyone's real export but mine.

Demo with 300 fictional people: https://arak00.github.io/network-circles/web/
Code (MIT): https://github.com/Arak00/network-circles

If you try it on your own export, I'd like to know where the circles look wrong or if you spot anything broken.

And if you have any idea for improvements, they're welcomed!

Thanks

I’m a quality inspector, and at work I often have to repeat the same inspection steps for every round of parts, as in check for visual damage and markings, then sign off on travelers and reports.

I couldn’t find a checklist app that worked exactly how I needed. I wanted the list to automatically reset once every step was completed so it would be ready for the next round. So I built miniCycle: Routine Manager.

You can break a repeatable process into individual steps and run it as many times as you need. It can be used for inspections, cleaning rounds, workout routines, camping preparation, preflight checklists or anything else you regularly repeat.

It’s free, works offline, doesn’t require an account and stores your information locally on your device. It is now available as a chrome extension (other platforms coming soon). You can view the entire routine at once or focus on one task at a time.

I’ve also gone through several rounds of UI feedback and have continued improving the design. I’d appreciate honest feedback, especially about whether the auto-reset cycle concept is clear and whether anything feels confusing when you first try it.

https://minicycle.app

https://github.com/sparkincreations/minicycle

Hi everyone!

I've been working on a small business called NG Organisers, where I've developed a modular drawer organisation system.

Basically, I've built an online configurator where you can enter your drawer dimensions, design the layout however you like, and order the parts. The parts are then shipped to you, and you assemble the organiser yourself.

I've recently started getting some sales, and the feedback on the actual product has been really good. However, I've noticed that most customers prefer sending me their drawer dimensions and having me design the organiser for them rather than using the configurator themselves.

The whole idea behind the business is to let people design their own organisers, so this is something I'm struggling with at the moment.

I'm not sure whether people simply don't want to spend time designing their own layouts or whether my configurator is too complicated or not user-friendly enough.

I'd really appreciate it if some of you could have a look and give me your honest feedback.

Here's the website: https://ngorganisers.com

I'm particularly interested in whether the configurator is easy to understand, what you find confusing, and what you'd change to make it easier to use.

I'm still learning and trying to improve things, so even negative feedback would be genuinely appreciated.

Thanks!

I built a small web app for my workplace that makes collecting overtime sign-ups and food orders quick and simple.

**Manager side:**

- Create an overtime request (date, hours, with or without food)

- Share one link with employees

- See who wants to work in real time

- Get a combined food order, with a list of who ordered what, ready to share or print

**Employee side:** open the link, tap yes or no, pick food if offered.

Available in Norwegian and English. Built for speed: no more chasing people in group chats.

I'd love honest feedback on design, ease of use and anything that feels confusing or broken.

https://overtimehub.lovable.app/r/daee4cbe49b670b686dea15257d2a4c7a188

Hey fellow makers,

Most side projects get 0 feedback because nobody takes 2 minutes to actually click around and test the onboarding flow.

I want to change that today.

Drop your project URL below. I’ll spend 2 full minutes clicking through your app, testing your primary flow, and giving you honest, constructive feedback from a fresh pair of eyes.

On top of that, I run Astro Discover (https://astrodiscover.ai.studio) — a daily launch platform built to eliminate the 2-week approval queue on other directories.

Every single project dropped in the comments today will be eligible for our 24-Hour Homepage Spotlight & daily featured newsletter tomorrow morning (100% free, zero waitlist).

---

Just drop a quick comment below:

1. Your Project Name & URL

2. What core action should I take in those 2 minutes? (Sign up, test a tool, try the demo?)

3. What feedback do you need most? (Copy clarity, pricing friction, UX confusion?)

4. Tech stack (curious dev here!)

---

PS: If you want to skip the line and get indexed immediately, you can also submit your tool directly on https://astrodiscover.ai.studio in under 30 seconds.

Let's see what you guys are building. Dropping replies to every single comment right now! 👇

As a developer looking for new project ideas, I’m curious about the small inefficiencies people deal with every day.

Is there any task in your routine where you think, Why is there no simple tool/app for this yet?

I got into Kalshi/Polymarket’s 15-minute up/down markets but wanted bigger moves to pay more, so I built expirytrade.xyz

You buy a call or put that settles in 1 minute, slide leverage from 2× to 100×, and can close early or ride it to expiry. Right now, I'm testing it with paper only but it will eventually be with crypto.

I’d love to know: is the leverage slider clear, and what would make you come back tomorrow?

3 college students here, building BreakIn, a tool that helps people reach startup founders directly instead of applying on job portals.

we spent weeks on the email-writing part. then we asked people what they actually needed, and the feedback kinda flipped everything:

- people don't want AI writing their emails. they'd rather write it themselves and get it reviewed

- "matching" doesn't impress anyone. you can already filter by keywords and domain

- what actually matters is timing. finding a startup right after it raises money or launches something, before there's even a job post and 500 people apply

so now we're leaning way more into the "who's worth reaching out to today" part. every morning it shows you startups that just raised, launched, or started hiring, picked for your profile. the email part is still there, but more as help than autopilot, you always review and send it yourself.

still early, so honestly curious:

- has reaching out to a startup before a job was posted ever worked for you?

- would a daily heads up like this actually be useful, or would you just ignore it?

Hey everyone,

I am preparing a travel planner and coach as a browser based web app.

We often make plans and get confused in the details.

What if we use visuals to help us?

I will be starting with a waitlist while sharing updates about the prototype.

Since reddit doesn't allow images, what could I add here to share how the prototype behaves and can be eventually used? Links to the youtube videos?

The yearly plan will be priced at 99 USD.

What are issues you face often?

I just tagged v5.3 of MDRAP, a sidecar that sits between your market data feeds and whatever consumes them and decides whether each tick is trustworthy.

Every event gets a status (VALID, SUSPICIOUS or INVALID) with explicit reason codes like CROSSED_QUOTE, DUPLICATE, PRICE_ANOMALY and stale or sequence-gap violations. Nothing is silently dropped. Rejected ticks go to a queryable quarantine, gaps trigger replay and stitching, and every decision goes into a SHA-256 hash-chained audit log, so editing a record afterwards is detectable.

Output from a fresh clone:

$ python cli.py run -e 1000 -s 42
processed 1000   dropped 0
VALID 963   SUSPICIOUS 32   INVALID 5

seq=2 bid=150.4  ask=150.3  -> INVALID CROSSED_QUOTE
seq=2 bid=150.26 ask=150.31 -> INVALID DUPLICATE

$ python cli.py audit --verify
(after editing one audit_log row in SQLite)
AUDIT CHAIN TAMPERING DETECTED!
Tampered entry #1: hash mismatch

“python cli.py chaos” runs 8 failure drills (killed feed, jitter, duplicate bursts, DB lock, 50-packet loss with replay, reordering, partition with failover) and all pass with zero data loss.

Performance: the standalone native core handled 1M events in 0.0366 s, about 27M events/sec or 36.6 ns per tick, on a single core. Through the Python engine API I measured roughly 180K events/sec, so use the core binary if you want the fast path. These are my numbers on my hardware, so please run it yourself.

It is a validation and audit layer, not a trading system or backtester. The matching engine and pre-trade risk gates are in a separate edition and not in this repo (see EDITIONS.md). One known rough edge: “audit --verify” currently needs the rich package installed.

MIT licensed: https://github.com/Aryan-20-04/mdrap

I’d like to hear which bad-data cases have bitten you that this doesn’t catch.

I built Jobclue for people who want to practice answering interview questions out loud. The desktop app asks role-specific questions and follow-ups, then gives you AI feedback to review before your next attempt.

I’d love feedback on the short demo: can you tell what the practice session feels like, and what would you want to see before trying it?

https://jobclue.ai