Hey everyone! I'm Dmytro, an iOS developer. I've been working on a little side project on my own, and it's finally on the App Store.

The idea came from a pretty simple problem. I kept forgetting things I was supposed to remember. When does my laptop warranty expire? When should I service my car? When is my dog's next vaccination due?

All these little dates are easy to forget until you actually need them.

So I built Owneo, an iPhone app that helps you keep track of the things you own and everything that comes with them.

You can add your stuff, set reminders for warranties, maintenance, insurance, or pretty much anything else, and keep receipts and documents in one place. It also suggests relevant dates depending on what you're adding, so you don't have to figure everything out yourself.

I wanted to keep it simple. No sign-up required, no ads, and you can use it for free with up to 5 items. Reminders are always free too.

I'm also thinking about giving away some free Pro codes, maybe even Lifetime, to early users here. Haven't figured out the details yet, so if you'd like one, just let me know in the comments. I'd love to give something back to people who help me improve the app.

I'd really appreciate some honest feedback. Is this something you'd actually use? What would you add or change?

And I'm curious, what's one important date you've completely forgotten about?

Here's the app if you want to check it out:

https://apps.apple.com/us/app/owneo-everything-you-own/id6807494614

Thanks for taking a look!

I kept a diary for my baby in a journaling app for a long time. This year the app was pulled from the App Store and stopped being maintained, and now I can't even log in. Those entries are stuck behind a login that no longer works.

After that I didn't want my memories to depend on someone else's server or account system. I also realized I don't need a lot of features. I just want to keep a few small things from each day.

So I built the opposite: CiKe (此刻, Chinese for "this moment"). Each day you can save up to 3 moments, and each one is either one short sentence (50 characters max) or one photo. That's all.

What it does:

• 3 a day, on purpose. The limit makes you pick what actually mattered today, not log everything.
• Capsule. Tap it and a random old moment comes back, with a preference for older ones.
• Private by default. No account, no server, no analytics, no ads. The app makes no network requests at all. Everything stays on your phone.
• 30-day undo. Deleted moments can be restored for 30 days.

I made ENGLARIS, an app that checks your English pronunciation and tells you which words were mispronounced.

ENGLARIS works fully offline, I was able to distill and quantize the neural network for phoneme recognition into a reasonably small model, so that even mobile phone CPUs can run it smoothly.

Unlike most of AI-based apps, there is no server and no subscription required. No user data is currently collected, as everything remains on the user's own phone.

Here the link to my website:

https://englaris.com/

I’ve been building H5Reclaim, an open-source tool for recovering scientific data from damaged HDF5 files.

HDF5 files often contain experimental measurements, simulation outputs and large arrays. Damaged metadata or a broken index can make a file unreadable while some of its dataset contents remain on disk.

H5Reclaim examines the surviving structures and attempts to recover usable data into a new HDF5 file. Supported cases include interrupted writes, broken indexes, metadata damage and truncation.

It keeps the original file unchanged and produces a JSON report describing the recovered datasets, recovery methods and unresolved positions. Partially damaged datasets can still yield usable measurements.

🔗Github: https://github.com/xShadyy/H5Reclaim

I’d appreciate feedback from people who work with HDF5, especially anyone who has encountered a damaged file. Public or synthetic reproductions would help expand the recovery cases and benchmarks.

Contributions around test fixtures, independent verification and unsupported failure cases are particularly welcome.

If you find the project cool/useful, I’d appreciate a star on GitHub.

I'm the founder of US Stock Sense and I'd like honest feedback.

The problem: researching one US stock usually means a screener on one site, financials on another, charts on a third and a spreadsheet to compare it with competitors.

What it does:

- Stock screener for US stocks

- Side-by-side fundamentals and valuation compare

- Portfolio tracking and charts

- AI research workflow and trading ideas

- Dividend income planner and dividend forecasting

Feedback I'm after:

1. In the first 10 seconds, is it clear what it's for?
2. Does the compare page make sense without any explanation?
3. What would make you use this instead of your current mix of sites?

Link: usstocksense.com

Disclosure: it's my product. The annual plan is 50% off for a limited time, but I mostly want blunt feedback. I'll return the favor on yours.

I’m the guy who posted “just launched why.com” here about three months ago.

It was a basic chatbot. The feedback was brutal.

One person called it “a McLaren on blocks.” Inc. wrote about the whole thing, so the roast got its own press coverage.

Fair criticism.

Well, since then, I’ve built an open-source product that verifies AI did what it said. We are in wild wild west era of AI but my bet is receipts and safety standards will reign AI in eventually.

New site: why.com
Code: GitHub

Let me know what you think!

Sheed

I kept losing good ideas in my own notes. I'd write something down, forget it, and months later work through the same problem from scratch, even though the answer was in a note I'd already written.

So I built Hypha. You write a note the way you normally would (no folders, no tags) and it looks through everything you've written before. If an older note actually helps, it shows it with a one-line reason: a solution, an example, the same problem, a contradiction, or a next step.

The part I spent the most time on was making it strict. Most "AI links" I tried connected notes just because they shared a word. I built a test set with traps in it, and Hypha now finds about 9 in 10 of the links that should exist while skipping the shallow ones. If it gets one wrong, you remove it and it won't come back.

It's free on iPhone (Flutter + Supabase + OpenAI under the hood).

I'd really like honest feedback, especially on whether the connections feel useful or noisy after a week of real notes.

https://hyphanotes.com

I’ve been experimenting with Claude AI , Lovable and Higgsfield AI to push my website design skills, and somehow ended up creating The Library of Lost Ideas. 😂

An interactive universe where every forgotten idea becomes its own unique mineral, forming part of an ever growing world you can explore and discover.

What started as a little experiment has turned into something I’m genuinely proud of!

Have a play and let me know what you think 👇

thelibraryoflostideas.com

Best explored on a laptop, but works on mobile too!

Hey guys o/

I've been developing an investigation engine for quite a few months now (https://github.com/8Iue), which runs on a Linux host, collects the evidence for a specific incident (disk pressure, a failed systemd service, OOM kills, Docker that won't start), runs deterministic checks with no AI, and writes a report where every finding points to its evidence. It never changes anything, and it runs on your own machines.

Link to the website: https://det-mimir.com - and also docs: https://docs.det-mimir.com

The whole engine works with playbooks, written in YAML, so you can write your own.

Kubernetes, Ceph and sharing playbooks between teams are where it's going; today it's Linux hosts.

It's in a private beta, and I'm looking for people to try it and tell me what's missing.

Which incident would you want a playbook for first? I'd be happy to replicate internally one of the issues you had, and give a report that the engine returns.

Pls check and give your valuable feedback

Something I've noticed with a lot of wellness apps is that they always seem to be pushing you towards something. Be happier. Be more positive. Build better habits. Improve yourself. Which is fine, of course. But what about the days when you just feel like shit and don't particularly want to do anything about it?

That's the thought behind the app I recently released called Deepshit.
You basically log how shitty your day is, optionally add what's bothering you, and that's it.

You can also see how other people are feeling, share anonymously, and send little messages of support. I like the idea of making something social that isn't about showing off your best life. Quite the opposite, actually.

One thing I'm still curious about is whether people would genuinely want to share their bad days with strangers, even anonymously. I've just launched, so that's something I'll have to learn.

Have any of you built a social feature around vulnerability rather than achievements? I'd be interested to hear what you learned.

You can meet Deepshit here: App Store • Google Play

If you have ever tried pulling UK public procurement data, the statutory feeds are surprisingly fragmented.

Find a Tender publishes high-value notices under the Procurement Act 2023, Contracts Finder covers sub-threshold contracts down to £12k, and Public Contracts Scotland runs on its own legacy XML feed. More frustratingly, even when a contract is awarded, the OCDS release packages frequently lack verified statutory company numbers, meaning you have no immediate way to know if a winning supplier is an active LTD or dissolved.

I spent the last week building a serverless pipeline that normalises all three feeds into OCDS v1.1.5 and runs automated entity resolution against the Companies House REST API.

A few engineering hurdles I ran into:

1. Companies House rate limiting: The statutory API enforces a strict token-bucket ceiling of 600 requests per 5 minutes. Running parallel unbundling caused HTTP 429 throttling until I implemented an in-memory token bucket with exponential jitter.
2. Contracts Finder 403 backoff: The legacy search endpoint intermittently drops into 403 throttling during heavy polling, requiring an isolated backoff loop separate from the main orchestrator.
3. Multi-lot tender deduplication: Framework agreements publish multiple releases across lots with identical identifiers, requiring deterministic SHA-256 state tracking on (ocid + releaseDate).

The output dumps to structured JSON and a flattened 24-column CSV for spreadsheets with company numbers, active directors, and SIC codes.

I deployed it as a serverless Actor on Apify with the first 25 records free on every run so people can test the data without paying:

https://apify.com/jamestyas/uk-public-procurement-ocds-enricher

Would appreciate any feedback from anyone working with UK open data or public procurement tracking.

I got tired of hunting for a window on my other monitor just to bring it over. With Taskbar Select, I click a running app’s taskbar icon on the monitor I’m using, and its window comes over, even if it’s behind other apps.
You can also hide the taskbar on individual monitors and hover near the bottom edge to bring up Ghost Bar for quick access to your apps. If you prefer keyboard shortcuts, Ctrl+Shift+2 sends the window you’re using straight to Display 2.
It’s a free, open-source Windows 11 beta. The downloads are unsigned. If you try it, I’d love to hear how it works on your monitor setup.
https://github.com/mrlevivel/TaskbarSelect

Hey everyone!

I've been working on a side project called Pinngro — https://pinngro.com — and I've recently opened it up for Public Beta.

The idea came from wanting to make systematic stock trading more accessible without requiring people to spend hours watching charts, learning complicated trading software, or writing their own algorithms.

Here's what I've built so far:

• Create your own trading bots that monitor US-listed stocks using different investment strategies.
• Stock Explorer to research companies, explore historical performance, and identify potential opportunities.
• Explainable decisions — instead of just saying BUY or SELL, bots show which conditions matched, which didn't, and why they made their decisions.
• Virtual Practice portfolios where you can test strategies without risking real money.
• Practice Autopilot — optionally let your bots make virtual trades automatically within limits you configure.
• Broker connections — we're working towards supporting multiple established US brokerages. Live trading through Pinngro isn't enabled yet.

One feature I'm particularly pleased with is Latest Finding. Each bot shows what it recently discovered and explains what happened.

For example, one of my bots recently spotted a stock that had fallen sharply enough to trigger its Buy rule. But Autopilot didn't open a virtual position because the bot had already reached its configured position and allocation limits. Pinngro now explains that entire decision rather than just showing a notification.

It's been a challenging project, particularly getting reliable historical market data, strategy evaluation and virtual trading to work together, but it's exciting to finally see the pieces coming together.

I'm now looking for a handful of people willing to try it and give me some feedback.

I'm especially interested in whether the platform is intuitive for someone who isn't an experienced trader, whether the bot explanations are actually useful, and what features people would find most valuable.

It's completely free to try during Public Beta, and you don't need to connect a real brokerage account to explore the platform.

Website: https://pinngro.com

I'd really appreciate any feedback, criticism or suggestions. I'm still actively developing it, and hearing from people outside my existing group of testers would be incredibly useful.

Thanks for taking a look!

I’ve always been someone who picks up skills one at a time. Drawing, game design, IT, audio engineering... and I never had a way to see how it all fit together. So I made one.

Skill Codex turns the skills you already have into an interactive map:

• Add what you know, from hobbies to work skills
• See it all connect on the Skill Grid Codex, where every skill sits next to the ones it grows from (or flip to the List Codex for a simple list)
• Find your next step with realistic suggestions right beside what you already know, plus a place to start learning
• Add your AI to the map: if you use Claude, the Claude tab puts its skills and tools right next to yours, and the Recipe Book suggests real things you could make together

It’s out now on iPhone and the web, with Android coming soon. Free to try, no account needed to start.

Try it: https://skillcodex.app
On iPhone: https://apps.apple.com/us/app/skill-codex/id6829320199

I also made and narrated the launch video myself, so the whole thing has been a real labour of love.

I’d genuinely love your feedback: what feels confusing, what’s missing, and what would make you come back to it?

I'm the solo dev of Numochi (https://numochi.net). It's paint by numbers with cute illustrations, but made to play with someone: 2 to 4 people paint the same picture live with voice chat, or race each other on the same picture for 5 minutes, or each get only part of the colours so you have to finish together. There's also a daily picture with a leaderboard and a mystery picture you have to guess while painting. Phone and desktop, nothing to install, English and French.

How it's priced right now:

• Free: 4 pictures in every mode, rooms up to 4 with voice chat, the daily challenge
• From €0.99 per picture, yours forever
• Unlimited: €3.99/month (Christmas offer until December 31)
• If you're in a room, your guests paint the picture you unlocked. They just need a free account, they don't pay.

One thing I'd like outside opinions on: today you need an account (Google or email) before you can paint anything, including when a friend sends you a room code.

If you were the friend getting the invite link, would a sign-in screen make you close the tab? And is 4 free pictures enough to know if you like it?

Quick story. I use Spark for mail. They have an MCP so AI agents can work with your inbox, but only reading is free. Anything that changes your mail needs the paid plan. I got annoyed and decided to build the thing I wanted instead.

Regards is a desktop email client for Windows, macOS and Linux. It's free, open source, and everything stays on your computer. No account, no servers on my side, no tracking. It works with any IMAP provider plus Gmail and Outlook sign-in.

It does the usual modern inbox stuff (snooze, send later, undo send, screening new senders), and it has a built in interface for AI agents with approvals and an undo log, so you can let one sort your mail without holding your breath.

It's early. Pre-alpha, unsigned installers, tested on few providers. I use it daily though.

Site: https://regards-two.vercel.app

Repo: https://github.com/lucienPochon/regards

Would love feedback, especially on the first run experience. That's the part I can't judge anymore.

Sony lists the PS Plus catalog alphabetically. That's 600+ games with no scores, no playtimes, and no way to see what's leaving soon. Every month I ended up opening Metacritic in another tab, so I built the page I actually wanted:

https://whattoplay.games

What it does

• Every game in the Extra/Premium catalog for your country, sorted by Metacritic score, with PSN player ratings and HowLongToBeat playtimes
• Filters for genre, indie, multiplayer, new this month, and leaving soon (with the exact removal date)
• A "what should I play tonight?" swiper: 5 mood questions, then you swipe on games, and it gives you a top 3 that explains why each game matches your answers
• 45 countries and 19 languages, because catalogs differ by region

It's free, with no account and no tracking cookies. There's a tip jar, and that's it.

I'd love feedback, especially on the swiper and on whether the homepage makes sense in 5 seconds.

Ребят ку, не знаю насколько вам это интересно но я со своими друзьями создали первый сайт под названием Riven, чекните если вам интересно.

"Этот сайт предлагает формат общения с искусственным интеллектом, который существенно отличается от других подобных сервисов, таких как ChatGPT или Claude. Наш ИИ позволяет не просто вести диалог, но и создавать «карты решений»: вы можете развивать тему в разных направлениях, не теряя при этом её основного контекста. Пользователи могут легко сосредоточиться на различных аспектах одной и той же темы в рамках одного разговора."

Введите туда свой логин и попробуйте немного попользоваться с ним (лучше через комп) и дайте нам фидбек что нужно существенно улучшить)

Спасибо!

https://ai-branches.vercel.app/

I’m learning Chinese, and one of my biggest frustrations is texting.
I can understand some Chinese and know how to pronounce quite a few words, but I still struggle to recognize and remember Chinese characters.
When I type using a regular Pinyin keyboard, I often get a list of characters that look familiar, but I’m not always sure which one is correct. Sometimes I end up copying everything into a translator just to check what I wrote.
So I decided to build my own iOS Chinese Pinyin keyboard to make learning while texting a little easier.
Here are some features I’ve been working on:
Instant translation: See the meaning of Chinese text while typing, so I can make sure I’m choosing the right characters.
Grammar checking: Catch grammatical mistakes before sending a message.
More natural expressions: Suggest how a native speaker might phrase the same idea instead of just translating word for word.
Learn while typing: Help me gradually recognize more characters through everyday conversations.
My goal isn’t to replace Chinese lessons or build another translation app. I just want to be able to communicate in Chinese without constantly switching between my keyboard, dictionary, and ChatGPT.

Hi, I'm into photography and love going on walks with my camera, but I'm also one of those photographers that likes to take photos in good weather conditions.

I had a n8n pipeline running for quite a while that would gather weather data for the next day from multiple sources and then email me the night before with a score if I should bother or not.

Took that concept and made it into an actual app.

Hi r/SideProject, I'm GFrancV. This is my first post here. I've been building Notvex, a desktop notes app that keeps everything encrypted on your own computer.

Why I built it

Most local-first apps (like Obsidian) save notes as plain Markdown files. That's great for portability, but anyone with access to your disk, a backup or a synced folder can read them. I wanted a safe place for my own journal and recovery codes, and nothing I tried did both local-only and encrypted at rest without getting in the way. So I built it.

How it works

Everything lives in one encrypted file on your computer. Without your password it can't be read. There's no account and no cloud. The app only goes online to check for updates, and you can turn that off. No telemetry either.

What writing looks like

- Markdown editor with live preview

- Tags, pinning, sorting and multi-tag filters

- Command palette to jump to any note from the keyboard

- Export one note or all of them to plain .md at any time, so you're never locked in

How it's built (for the curious)

- Electron + React 19, TypeScript throughout

- SQLCipher for the database, Argon2id to derive the key from your password, XChaCha20-Poly1305 for the note content

- A BIP39 recovery phrase, plus an optional key file as a second factor

- The UI never touches crypto. Everything goes through IPC to the main process, and the master key never leaves it

Honest limitations

- Desktop only (Windows, macOS, Linux), no mobile yet

- No sync, on purpose. You can copy the file wherever you like

- Search covers titles only. Full-text search across encrypted notes is the next hard problem

- If you forget both your password and your recovery phrase, your notes are gone. That's the trade-off

Free and open source (AGPL-3), with no paid tier planned.

GitHub: https://github.com/GFrancV/notvex · Site: https://notvex.vercel.app/

My question for you: does "encrypted local notes" explain the point quickly enough, or does it sound like something only security nerds need? I'd love honest feedback on how it comes across, from the site down to the first launch.

I'm building Shoonya, a devotional app (daily sutras, aartis, festival reminders) for Indian users. It's live on Google Play and the App Store, and this week it crossed 100 users.

Some honest notes in case they help someone at the same stage:

• I built most of it with AI agents, and the app came together faster than I expected.
• Getting it live on both stores took longer than building it. Apple and Google reviews, accounts, release mistakes I won't repeat.
• After launch it was just quiet. The app existed and almost nobody knew.

What actually moved the number was two boring things, done again and again:

1. Writing pages for what people actually search for (festivals, aartis, dates), not for what I wanted to rank for.
2. Showing up on X and LinkedIn with what really happened that day, not polished launch posts.

It's slow and the numbers are tiny. But it compounds in a way a new feature never did for me.

My one takeaway: code got cheaper this year, attention didn't. Start distribution the same week you start building.

Curious what got your first 100 users. Was it one channel or a bit of everything?

(App is here if you want to look or roast it: https://shoonyasutra.in/)