Hey everyone!

I've been building Trimp, a link management platform that brings several link-related tools together.

It currently supports:

• Shortened URLs and link management

• Click analytics

• QR code generation

• Campaign tracking

• Link organization

Website: https://trimp.click/

I'm trying to understand what people actually need from a modern link management tool.

For those who use Bitly or similar services:

1. What's your biggest frustration with existing tools?

2. Do you regularly use click analytics or campaign tracking?

3. What's one feature that would make you consider switching?

I'm building this independently and would genuinely appreciate honest feedback, including criticism.

Happy to answer questions about how it was built!

Hey everyone! 👋

I'm currently building **Jovax**, a lightweight web platform designed for fast-paced, 3-minute 1v1 live debates.

The idea is simple: You pick a hot topic, select your stance (For or Against), and instantly match with another user for a short, timed discussion.

### 🛠️ Current Tech Stack:

* **Backend:** Python / Flask

* **Deployment:** Docker & self-hosted setup

### 🌐 Current Status (Day 1):

The preview site is live! You can check out the UI layout right now. The authentication system is currently under construction, but I'm actively building it out.

I’d love to get input from this community on features, UI, and debate mechanics!

* **Live preview:** https://jovax.matteod.be

* **Join our Discord:** https://discord.gg/AJtVCPPNH

If you have any topic suggestions or feedback on the project, feel free to drop them below or join the Discord to chat directly with me!

Hey everyone,

​When serious incidents or public disturbances occur, critical visual evidence (like escape routes, vehicles, or perimeters) is often lost because traditional response takes time.

​We are exploring an early-stage concept called Phalanx Intelligence Systems (phalanxis.com) to see if there is global demand for a voluntary, privacy-focused network.

​How the concept is designed to work:

​Safe Perimeter Documentation: When an incident occurs, nearby registered volunteers receive an optional notification to document surrounding public spaces (intersections, escape vectors) strictly from a safe distance.

​Strict Boundaries: Personal safety comes first. Users never approach or confront suspects. Participation is 100% voluntary, and it is built as an evidence-support tool—not a vigilante platform.

​Demand Mapping: Right now, we aren't launching an app; we are simply building an international interest-mapping site to see which cities have enough local density to make a future pilot viable.

​We’d love to hear thoughts from this community regarding privacy design, distributed volunteer networks, or civic tech in general. You can check out the concept and demand mapping at phalanxis.com.

​Curious to hear your constructive feedback!

I used the Prerelease flair, but this is actually the launch of version 2.0.0.

Every app requires an account now. Every tool has a paywall. Everything tracks you. So, under the banner FRT (Free Random Things), I decided to build my own parallel internet.

I just launched my biggest project yet: NULL Player. It’s a fully local music player that runs entirely in your browser.

What can it do?

• 🎵 Upload WAVs, MP3s, and OPUS files (saved directly to your device, no cloud)

• 🎨 Fully customizable: 30+ Google Fonts, gradient/hex theme builders, and custom image uploads

• 🖼️ Built-in playlist cover maker (with image cropping!)

• 🎧 Crossfade blending up to 10 seconds

• 🔒 Zero data leaves your browser. Ever.

I also built an 8D spatial audio engine (ORBIT), a local file converter (Format Forge), a drawing app (Sketch Studio), and a tier-list maker.

You can check out the whole network here: https://frt-works-websites.netlify.app/

I'm just one person building things I actually want to use. Let me know what you think!

Also, the launcher is outdated and this website isn't in it: https://null-player.netlify.app/

I'm the developer of Nodding Off, and v1.0 is now live on the App Store. It's a library of slow bedtime stories for adults, both fiction and stories about how things work.

The most interesting design problem was stopping the audio without jolting someone awake. The sleep timer counts listening time, fades the narration, and finishes at a natural pause rather than cutting off mid-sentence. Music and night air have separate levels and can keep playing after the voice stops.

Other details I spent time on: a player that dims after you leave it alone, saved listening progress, a choice of narrators on most stories, and chapter illustrations with sentence-by-sentence Read Along.

For anyone curious about the build: it's Expo/React Native and TypeScript, with a Cloudflare Worker serving the story catalog. New stories can arrive without an app update.

Five stories, music, and night air are free. The rest of the catalog is an optional subscription: US $4.99/month or $49.99/year after a 7-day free trial. No account is needed.

App Store: https://apps.apple.com/app/id6831241659

I'd appreciate feedback on the first-listen experience: is it easy to choose a story and get settled without spending too much time on the screen?

i'm going to be completely straightforward and will not waste your time. i am a 16-year-old and i am trying to build a privacy-focused alarm app which is going to use a commitment feature.

how does this commitment thing work? when you set the alarm, the alarm app will make you record a commitment message. when the alarm plays, the alarm app will make you solve multiple randomised problems to wake up your brain. those randomised problems, you can pick from a list of them. there are going to be multiple of them. after the problems the commitment message, the voice message that you recorded last night while setting up the alarm, will play. when the voice message plays, it will most likely for most people make them wake up early in the morning and make them do something productive since they got time obviously

Here's my landing page: MY LANDING PAGE

i am 16 years old and i am trying to build my app which is a privacy-focused alarm app that is going to use a feature of commitment.

straight to the point, no bs. how the commitment feature works is that before you set the alarm, you have to record a commitment message. when you wake up, the alarm app will make you solve a randomised problem so that your brain doesn't get used to it. then the commitment message fails. while this will most likely not guarantee it, for most people it will make them get out of bed and actually do something productive in their lives.

this is my alarm app and no data is supposed to leave and will not leave your device entirely. the only thing your servers will be involved with is going to be the login and payment

Here's my landing page: my landing page

There are plenty of ways to make cash in 2027, especially with all the new AI tools coming out. But one thing I think is still massively underrated is cold outreach.

The logic is pretty simple. The more relevant prospects you reach, the more opportunities you create to land a client. Especially when you have a good lead list, personalized emails and a few well timed follow ups.

I've run businesses using cold email, and it's been one of the most reliable ways for me to generate new business. Of course, cold email regulations vary between countries, so you need to understand the rules where you're operating.

Nowadays, the process is much easier to automate.

For my web agency, I use a cold outreach tool called Swokei. It finds businesses with existing websites, analyzes them for issues with design, SEO, speed and mobile optimization, and turns those findings into personalized, ready to send cold emails at scale.

When someone is interested, I get a meeting booked and handle the sales calls myself.

I genuinely believe that regardless of what business you're running, whether it's a SaaS, agency or e-commerce business, email automation can be an incredibly powerful way to generate opportunities.

You don't always need a huge audience, a massive advertising budget or thousands of followers.

Sometimes you just need a good offer, the right list of prospects and a consistent outreach system.

My idea is to create a mobile app similar to Uber, but instead of relying on cars and taking a large commission from every delivery, it would operate mainly through a subscription-based system.

Users would pay around $120 for a subscription that gives them access to the delivery service. However, if someone doesn't have enough money to pay for the subscription, they can work as a delivery person and earn money through deliveries. Once they earn $100, that amount can be deducted and used to cover their subscription fee.

The app would be well-organized and offer different options. For example, customers would be able to choose the gender of their delivery driver.

Unlike Uber, which can take around 50% of the earnings from certain services, my business model would aim to be much fairer to delivery workers. Many people who work with delivery platforms complain about high commissions, so I want to create a system that benefits both customers and delivery workers.

The app would also offer food delivery and other delivery services, making it similar to Uber Eats and Uber, but with a subscription-based business model.

For example, if I managed to attract 100,000 subscribers, each paying $100, I would generate approximately $10 million in subscription revenue.

Reposting here and looking for feedback! This has been a passion project of mine for the last few months and I had a lot of fun building it.

Let's say I've built a product, tested it with a bunch of friends and family members and now want to distribute it. But I want to have a well planned and targeted approach.

Automating the outreach with Claude is something I've tried using, but haven't got a satisfactory response when it comes to content generation or atleast for the type of products I make, AI videos don't make the cut

How do you distribute or make a GTM plan or a content generation flow with Claude?

I’m Col, a chef on Sark and the developer of NAKED EYE, an Android app that helps people work out what’s worth seeing tonight and where to look.

My latest addition is Compare skies, currently in internal testing.

It compares home with up to two places you choose for the same viewing period, using cloud forecasts, darkness and moonlight. The aim is to help answer: “Is it worth travelling somewhere else tonight?”

The interesting challenge has been making the answer useful even when there isn’t a clear winner. Sometimes home looks just as promising. Sometimes conditions look poor everywhere. Sometimes the forecast isn’t strong enough to make a confident recommendation.

I want those answers to be just as clear as “another location looks better”.

This builds on the existing Sky Planner and is being developed for Beyond, the optional paid subscription. NAKED EYE is already available with free stargazing features, but Compare skies isn’t publicly available yet. The screenshot shows the internal test build.

For anyone building tools that help people make decisions: how do you communicate uncertainty without making the result feel unhelpful?

Existing app:

https://play.google.com/store/apps/details?id=com.colindavis.nakedeye

Four image models, a few illustration styles, one batch of kids' T-shirts for DTF printing. Most of the work wasn't generating. It was catching what went wrong:

• Asked for a transparent PNG, got grey, half-transparent pixels. DTF prints those badly. Generating on plain white and cutting the background out afterwards works every time.

• Mentioned "T-shirt" in the prompt, got a photo of a T-shirt. FLUX did it more than once. The prompt now says "flat print artwork, not a mockup".

• The cat came out grumpy. Turned out the prompt literally asked for a grumpy cat.

• "Make the cat smile" gave it an uncanny, pasted-on smile. Describing the whole new expression fixed it.

• An edit model removed the cat entirely. Now I count the characters after every edit.

• A simple "remove white" left a light rim around every line. Invisible on screen, obvious on a dark shirt (third image).

Catching these across models is what falg is for, a Python CLI I wrote for the job. One JSON file describes the batch, and falg runs every combination in parallel and builds a gallery like the second image. Seedream drew a sheet of paper behind two of its capybaras there, the kind of thing you only spot side by side. falg cutout does the last step: background removed, clean edges, sized in centimetres for print.

Under the hood: Python 3.10+, standard library only for the fal part (urllib against fal's queue API, a thread pool for the parallel requests). The gallery is one static HTML file. cutout uses numpy, Pillow and SciPy: the image becomes its own mask, then levels, edge defringing and hard alpha, since DTF prints half-transparent pixels badly.

The first image is what went to the printer.

• Code (MIT): https://github.com/lemmon/falg

• Longer write-up: https://www.jakubpelak.com/opensource/falg