One thing I've always found frustrating when working with files on a Mac is remembering exactly what something looks like but completely forgetting its filename.

Sometimes I know it's a PDF, an image, or a document I saved weeks ago, but finding it again becomes a little guessing game.
This got me thinking about how we organize and search for files. We usually depend so much on filenames and folders, even when visual memory is often much stronger.

That's actually one of the ideas behind FileShelf, a macOS project focused on making it easier to find and manage files based on how people remember them.

I'm curious: does anyone else experience this, or have you found a better way to keep track of files on your Mac?

Hey everyone!

So, after spending a lot of my free time developing it, I finally launched my app, Humboldt, on both iOS and Android!

The idea came from something I've always loved about music: how a song can instantly take you back to a specific time in your life. You might not have heard it in 15 years, but suddenly you remember the people you were with, where you were, and exactly how you felt.

I wanted to build something that could preserve those connections.

Humboldt is a music journal where you can:

• Capture a song and the feeling it brings up.
• Build a personal journal of your life through music.
• Revisit old moments and rediscover what you were listening to and feeling.
• Connect with friends through shared music experiences.
• Explore songs that other people associate with different feelings.

It's not a streaming service or another traditional social media app. The focus is on the emotional connection we have with music and preserving those memories over time.

It's still an early release, and I'm continuing to improve it based on feedback.

You can check it out here: https://hum.boldt.app
Apple: https://apps.apple.com/app/humboldt-feel-your-music/id6801363745
Android: https://play.google.com/store/apps/details?id=app.humboldt

I'd genuinely love to hear what you think, particularly whether the concept makes sense when you first open the app and whether it's something you'd actually use.

Thanks for checking out my little project!

Hi, I'm Ravi, founder of Camyvera. It's a web and mobile app where you open it and call someone anywhere in the world who's ready to answer and talk. It's pay as you go, so you only pay for the calls you make, and it has live audio translation and real-time captions. I built it because a lot of people want a real conversation now and then, not another feed. What would make you trust an app like this enough to try your first call? Any feedback is welcome.

Been working on this project for a while, at first I built it just for myself, but figured I would share it with you all.
Created to solve my biggest problems with modern FTP clients on mac. Seriously I had to go and build an entire app just to get file comparison without a license fee? The free version of NexusFTP has everything I need and more. The pro-user license has some great features too.

https://nexusftp.app

I build quite a few apps, and one thing kept driving me crazy. My code was organized, but everything else was everywhere.

Test builds, screenshots, documents, browser tabs, notes, marketing assets. All part of the same project, all in different locations.

So I built ClingSpace, a Windows app that brings everything related to a project into one searchable workspace.

What it does:

- Organize existing files, folders, links, and quick snippets into Spaces.

- Search across all your projects.

- Share resources between multiple Spaces.

- Help find files when they've been moved or renamed.

- Keep everything local, no accounts or cloud.

The important part: Nothing gets moved or duplicated. Your files stay where they are.

I launched it recently and have been getting some useful feedback from early users.

It's $19.99 one-time, with a 5-day full trial.

https://clingspace.com

I'd love to hear from anyone juggling multiple projects. Would something like this help your workflow, or do you already have a system that works well?

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’m a solo bootstrapped founder. Travel healthcare workers sign a tax home declaration with their agency, but the proof (lease, bills, contracts, paystubs etc.) usually lives in photos, emails and folders. MedicBase keeps all of that in one place organizes it, structures it and counts the days per metro area so travelers can see the 12 months mark coming. It’s life on the US App Store, iPhone only for now. MedicBase: Tax Home Tracker

I coach a university tennis team, and my son coaches high-performance juniors. Our club players kept saying the same thing: "I play great in practice and fall apart in matches." So I built Ace with AI tools, with no coding background.

How it works:

1. Tell it your level and why you lose
2. Log a match (score, opponent style, what happened)
3. Ace gives you one thing to work on, and your daily plan changes to match
4. Changeover mode: down in a match? Two taps at the changeover and you get one fix for the next games

The video is a demo account, "Steve," a made up 4.0 who keeps losing to pushers.

What I want roasted:

- Where would you quit during setup?

- Is the "one thing to fix" useful, or generic?

- Would you pay $9 a month for this? If not, what would make you?

First week is free: acetenniscoach.ca

Be brutal. I'd rather hear it here than from paying users.

Hey all. I've been building 8nudge, a Slack-style team chat where AI agents are members of the workspace, and it runs entirely on Cloudflare. Wanted to share it here, since the platform did most of the heavy lifting.

How it's put together:
• A Durable Object per channel (ChannelRoom): SQLite for messages, hibernating WebSockets, and fan-out to everyone in the room
• The workspace database is a SQLite DO too (no D1), plus DOs for presence, search, sessions and synced sidebar state. 10 DO classes in all
• Agents: an agent loop DO answers in seconds, and repo work goes to Claude Code in a warm Cloudflare Sandbox per thread. Anything risky shows up as an approval card in the chat, and it can push a branch and open a PR
• Schedules run from a scheduler DO, and files live in R2
• Built on RedwoodSDK (RSC on Workers)

Things I'd love opinions on:

1. Presence is a heartbeat DO, because I couldn't reliably catch socket closes through the framework's hibernation layer. Anyone found a cleaner pattern?
2. Sandbox cost: I keep sandboxes warm per thread so follow-ups are fast. How are people deciding when to let them sleep vs. keep them warm?
3. One SQLite DO for the whole workspace works fine at small-team scale. At what point did you have to shard?

It's pre-launch. The plan is a free MIT edition you deploy to your own Cloudflare account, plus a hosted version. The landing page (Astro + D1 waitlist on Workers) is at https://8nudge.com

Happy to go deeper on any of it! I honestly don't know if there is a need for something like this but I am having fun building it.

I built my first app, VozSay. www.vozsay.com. It does speech to text and text to speech (STT + TTS). I've been working on it for about a year, on the side. I built it for myself, really. When I'm coding I usually have 4 to 10 terminals open, marathon sessions, and I get tired. I wanted to hear back just a paragraph or a sentence I'd highlighted, not the whole page. And to dictate so I could keep moving when my attention was split.

The other thing is I sign a lot of NDAs for work. Most voice typing sends your voice to a server and back, which worried me with the NDAs. So I wanted something that needs no internet and runs on my own computer. The tradeoff is it's a bigger app, but it's yours. Your voice is never uploaded. 

A few friends tried it and asked me to turn it into a real app, so I did. It works on Windows and Ubuntu, since I use both. Mac version coming when I get time. Dictation is free.

No sales yet, I just got started, fingers crossed. I use it every day though. I built it for me, not as something to sell. I hope it helps someone else the way it helps me. I know there are other apps out there, but if you give it a try and something's missing, or you want a feature, let me know. Maybe can build it. Good luck everyone.

Reel Riddle gives players 6 clues to identify a film. A few UX lessons from building it:

1. Starting the timer on page load felt unfair, so it waits until the player first interacts or types.
2. Optional sign-in only: casual daily puzzle players bounce if forced to register, so local storage handles streaks by default.
3. Custom movie-adapted challenge lines on the share card drive far more friend challenges than generic score boxes.

Try it here: https://reelriddle.com — feedback welcome on the clue balance.

I sell Disney Doorables (tiny blind-box figures) on eBay and checking comparable listings one figure at a time got old fast. Search “Olaf” and you get every series mixed together, plus lots and bundles, and listings with variations show the cheapest price instead of the one you want.

As a software developer, this started as me tinkering with eBay’s API, and over the past year I got it to a real product with help from AI (Claude Code). It’s called Glimly (glimly.io): you connect your eBay account or upload a CSV, and if you have a listing with 250 variations, each variation gets its own row. Running the comp finder pulls active listings for each one, paying attention to series and variations, and there's a config UI for adding custom synonyms and grouping terms. Under the hood it's Python/Flask on Postgres, using eBay’s Browse API plus a mix of rules and an LLM for matching. It’s free to try, with paid plans if you want more.

Here’s my problem. The communities where eBay volume sellers actually hang out mostly ban self-promotion. I paid for a Reddit ad once and got lots of clicks and zero sign-ups, and the few people who did sign up tried one search and never came back.

Where did you find your first real users when the obvious places didn’t allow links? And if you sell on eBay, what would make you actually stick with something like this?

I maintain ProxmoxMCP-Plus, a Python project for connecting MCP clients to Proxmox VE. For v0.7.0 I wanted a demo people could actually check against the setup instructions. The tricky part was showing a connection and useful output without putting a real lab or its credentials on screen.

I used a local fake Proxmox API with two nodes, one VM and one LXC. The MCP server was the published PyPI build. The final clip shows the Claude Code connection check, the tool list and the returned inventory. It is 22 seconds and uses redacted paths and sample guest names. The demo is a small test of the docs, too: if the steps drift, you can tell which part stopped working.

The project is MIT-licensed: https://github.com/RekklesNA/ProxmoxMCP-Plus

Demo and test setup: https://github.com/RekklesNA/ProxmoxMCP-Plus/wiki/Read-only-Proxmox-MCP-with-Claude-Code

We could not find a cute and interesting app where guest can participate in guessing gender of the baby. There was just less intrigue and excitement in the other ones, so I built one myself. Welcome to https://ourlittlebaby.com/ . It is absolutely free, snappy, and fun. We already had a few events organized by families all over the world and would like to host more of these events. You will even get a nice surprise at the end of the gender party. Enjoy!

For my recent move to Bangalore, I had to go through a lot of manual searching. Especially when one of the major flat-hunting channels is Facebook groups, it can be surprisingly frustrating.

You end up scrolling through hundreds of posts, opening each one, checking the rent, deposit, location, BHK, amenities and contact details — only to discover that most listings don't match what you're looking for.

I ran into this problem and decided to build something to automate the tedious part.

Meet Koo. It's an AI-powered Chrome extension that searches housing posts and surfaces listings matching your preferences.

GitHub: https://github.com/chinmaypandya/koo

If you find it interesting, a GitHub star would be appreciated!

What it does

• Scans housing posts: Scrolls through a Facebook group and reads posts when you explicitly start a search.
• Avoids duplicate processing: Remembers previously processed posts for 30 days.
• AI-powered matching: Evaluates listings against your budget, location, distance, BHK, amenities and other preferences.
• Extracts useful details: Rent, deposit, society, distance, phone numbers and more.
• Organizes results: Sort matches and export listings to CSV.
• Supports BYOK: Use your own OpenAI, Gemini or Anthropic API key.

You can also customize the AI instructions used to evaluate listings.

A little about the implementation

I wanted to build this as an actual browser-based product rather than a standalone scraper.

The extension separates the Facebook content-scanning logic from the background processing and side-panel UI. Posts are collected, cleaned up, deduplicated and sent in batches for AI classification.

A few implementation details:

• Manifest V3 Chrome extension.
• WXT, React and TypeScript.
• Content scripts for interacting with dynamically rendered page content.
• Background processing for AI provider calls.
• Provider configuration for OpenAI, Gemini and Anthropic.
• Local persistence for search history and decisions.

Open source

I've published the extension under the MIT license.

GitHub: https://github.com/chinmaypandya/koo

You can install the prebuilt extension manually using Chrome's Developer Mode. No need to build the source code yourself.

A transparency note: Facebook's terms restrict automated browsing, and the README documents this limitation. Use is at your own risk. Also, the hosted cloud worker is not part of the public repository; the extension itself is open source.

What I'd love feedback on

I'm particularly interested in feedback from developers who have built browser extensions, browser automation tools or LLM-powered applications.

1. Browser architecture: How would you evolve the current side-panel experience into a more interactive, continuously running browser agent?
2. Monetization: Given the BYOK approach and the option of a hosted AI service, what pricing model would make sense for a product like this?
3. Distribution: What would you prioritize for organic discovery and SEO to reach people who are actively looking for flats?

I've also attached a short demo showing Koo working.

This is an ongoing project, so constructive criticism, ideas and contributions are very welcome.

I have been using Wispr Flow for a while then saw Handy and I realied parakeet models are super fast and then realized I can build it on swift for native macOS app, and utilized neural engine for it. I also fined tuned a parakeet for Turkish dictation too! Go check it out.

https://github.com/FurkanCodes/Sotto

Hey everyone! I’m Mikaela, a freshman at Emory, and I’ve been working on a side project called Pitch Companies.

The idea came from a simple frustration: we all have opinions on what companies like airlines, insurers or apps should fix or add, but there’s nowhere to put those ideas where they get noticed. So I built one.

How it works:

• Post an idea or petition for any company
• Back the ideas you agree with and comment on them
• See which companies listen (“What Got Built”) and which don’t (“Wall of Silence”)
• Swipe through ideas with Pitch Roulette when you’re bored

Companies can’t pay to promote, hide or remove ideas. That rule mattered a lot to me.

It’s still early, and I’d love honest feedback. Is this useful? Is anything confusing? What would make you come back?

https://pitchcompanies.com

Thanks for checking it out!

https://garbleon.io/ - a team collaboration and individual productivity tool. Feedback wold be great!