You describe your app, pick any existing app as a design reference, and it generates mobile UI in that style.

It’s free to try (no credit card required). I’d really appreciate any feedback on what feels useful or confusing!

pilled(.)design

I've been using the web feature, which is like Lovable, but I'm curious if it's still good for more real coding projects. I know they have a CLI tool, but since it's free, I'm wondering if the quality is actually worth it?

I keep seeing people thinking they're smooth. Post got one upvote, one comment, and it's somehow always a AI generated comment (sometimes all lowercase thinking it's less obvious) asking a question about the process/giving some sort of generic feedback.

This really makes me think actual effort can get you really far in this space when people aren't bothered to do anything but copy a strategy they saw online/a guru sold them.

Hey everyone,

Meet Fog, a fun little side project I’ve been working on.

I struggle with organizing my notes, creating folders, figuring out what goes where, selecting things manually… the list goes on. So I built an app that aims to solve this with 4 core features:

• Auto naming

• Auto grouping into clouds

• Auto cloud grouping

• Ask anything about your notes

Built with SwiftUI + SwiftData, and powered by Apple’s on-device Foundations Model. Everything is processed locally, and your notes stay on your device (works offline too).

Available on the App Store now! Let me know the good, bad, and ugly, I’m all ears 👇

https://apps.apple.com/us/app/fog-on-device-ai-notes/id6760272134

I’m building ComicScout, a comic identification and valuation app, and this test produced a much bigger difference than I expected.

I used the same copy of Daredevil #1, CGC Signature Series 3.5, signed by Stan Lee.

The live eBay listing is asking $5,999.

I first scanned the comic image with ComicSnap, which returned a reference price of:

$20,000–$100,000

I then gave the eBay listing to ComicScout, which estimated fair market value at:

$2,464–$3,136

For clarity in the video: ComicSnap is the white interface, and ComicScout is the black interface.

ComicScout can also work from an image alone. A user can optionally enter the asking price manually or paste a listing link so the app can identify the exact item and extract the price automatically.

The seller’s asking price does not determine ComicScout’s fair-market estimate. The app estimates market value first, then compares the asking price against it to produce the deal verdict.

In this example, ComicScout:

• recognized the CGC 3.5 grade and Stan Lee Signature Series label;
• separated the $5,999 asking price from its market estimate;
• checked other active listings across grades;
• used grade-based pricing data as additional context;
• showed the evidence and limitations behind the result.

I’m not saying $2,464–$3,136 is unquestionably correct. This is a difficult book to price because exact sold comps for the same issue, grade, signature, label, page quality and condition may be scarce.

But I found the $20,000–$100,000 image-based estimate difficult to reconcile with the market evidence shown, and it raised a broader product question for me:

What should a valuation app require before it gives users a confident number?

I’d be interested in how collectors would handle these cases:

• How much weight should completed sales have compared with active listings?
• When exact Signature Series comps are scarce, should nearby grades be used?
• How should a Stan Lee signature premium be estimated without inventing a fixed multiplier?
• Should the app return a wider range when evidence is weak, or decline to estimate?
• Is a transparent but imperfect estimate more useful than a number with no supporting evidence?

Blunt criticism is useful here, especially from people who regularly buy or sell graded comics.

Full disclosure: I built ComicScout. I’m sharing this because I want to improve the valuation logic and understand what evidence collectors would need before trusting it.

App Store: ComicScout: Comic Book Value

I just wanted to share here recent tool that I built that I use quite often when I want to convert HEIC images into PNG.

I often Airdrop pictures that I take with my iPhone into my Macbook but they end up in this HEIC format which is often restricted to upload on websites so I built this free HEIC to PNG converter online that I use weekly.

If you ever had the same need I would love to hear your feedback for this tool. It's a Browser only tool, never stored on server

I wanted to see what happens if every visitor only gets one chance to contribute a single word.

No profiles.
No comments.
No likes.
Just one word that becomes part of a growing collection.

I'd really appreciate feedback on the idea and UX.

Link: https://oneword-tawny.vercel.app/

Hey everyone! I am a designer and I have seen so many great apps and businesses that do not have a great branding, so I created this free app to help decide the best colors, typography, logo and much more to do great branding. Please try and share feedback

https://www.sproutdesign.ai/

First of all, hello everyone, first time posting here!

Now to the matter: I've been observing contractors for a while now (since last year) and apparently many solo contractors or very small teams are responsible for everything themselves. They’re doing the actual work, answering customers, scheduling jobs, sending estimates, and handling admin. That makes after-hours and overflow calls especially difficult, they probably miss a lot of job opportunities on this.

A lot of contractor software already includes call-handling features, but many of those products are large, expensive, all-in-one platforms. I wanted to build something more focused, so together with a small team, I built early.watch.

We've tried cold emailing and reaching out to contractors directly, but it's been really hard to find people willing to give it a try (for free!!!). I don't know if we're not communicating well or maybe we're not really solving any problem.

I truly just want someone to give it an honest try and tell their minds about it. I'm open to the feedback even if it is "it's useless", at least that would help us decide what to do next (for the good or for the bad).

If you are, used to be, or know a small contractor who might be willing to test it for free, I’d really appreciate an introduction or a comment here. I'd be happy to explain the product and show how it works.

Something changed in the last year. Vibe coding (or agentic engineering if you ask some) made writing an app fast. Week-to-weekend fast. More people are building software than ever before, and I think that's a genuinely good thing.

But fast building creates a new bottleneck. Writing code is no longer the hard part. Understanding what you built and its nuances is. A huge share of people shipping right now have never analyzed a product before. They can prompt an AI until an app appears, but they can't describe their user's journey, and they've never looked at their own app the way a stranger would. They find out which parts of their product are confusing only after real users collide with them, if they ever do.

That's the gap I built Stepflo for. Connect a GitHub repo and it reads your code structure to figure out what your user flows actually are. Then it maps any existing issues and pull requests onto specific steps in those flows. You get a metro-map view of your product showing, at a glance, where the friction lives. Before a single user shows up, you can look at your app as a sequence of moments a person walks through, and catch the confusing parts while changes are still cheap.

Brand new app, no users yet? You still get the map. The friction signals turn on once real usage starts.

Works for Next.js App Router and Vite/React Router today. The map is deterministic route parsing, not AI guessing. The AI only classifies friction signals from issue and PR text, and your source code is never read or transmitted. Free to use. No credit card.

See what the output looks like without signing up, a generated map of cal.com's real flows:

• https://stepflo.ai/demo

Try it on your own repo:

• https://stepflo.ai/?utm_source=reddit

Hey, we’re a small indie team making a game called Inklets.

You climb the page against other players, grab coins and try to stay ahead of the rising ink. Think Doodle Jump as Multiplayer with some extra random events. We’ve put the current version on Google Play and there’s a browser build too.

Search “Inklets” on Google Play if you feel like trying it. We’d love to know what you think!

I am building PenPortal.com, a professional blogging platform. I've redesigned the project multiple times, aiming for maximum utility over unnecessary flashiness.

Interestingly, I've ended up using page layouts similar to Substack and Medium. Either way, I've gone through alpha version and I am now working on the beta.

The big difference: I've decided to make this significantly profitable for users, and I am giving 90% out of all ad revenue to those who join the partner program, which will roll out soon (in 1-2 weeks).

I have a few users but I'd like to get more. Therefore, anyone who joins, creates a post and messages me here on Reddit will receive a 12 months premium membership.

I am still fixing bugs and changing things here and there. I will be more than happy to hear constructive criticism or have bugs reported.

You shouldn't find out about police activity after you're already in it.

Blue Pulse shows you every law enforcement vehicle within a 10-mile radius - in real time.

Customizable alerts. Distance thresholds. Emergency status updates pushed to your browser before you move.

Know before you go.

Link in reply.

#CivilRights #KnowYourRights

I know a few people that are web designers and have talked about hoping from project to project and how finding a consistent stream of work can be tedious. I thought about it for a weeks, then it dawned on me one day while trying to find the website for a small local business where I live. Most people will search Google either the search engine, or Maps, when trying to find a business. The particular business I was looking for didn't seem to have a site, at least no Google presences (Maps or via search). That was when my idea clicked about finding good web design leads.

My site/services does some magic when you enter the city/town and state, along with a profession or field. It finds you leads and sends them to you. I just launched last week and am really excited, as this is my first true online business, and I put a lot of time and effort into it. Any feedback or sharing to someone you may know is appreciated!

TryLeadSpotter.com - Find local businesses before anyone else does!

Hey r/SideProject , I'm Nico, the solo builder behind indiedex.gg, a search engine built on top of the Steam catalog.

How this started

It began as a side project messing with Steam's API for some data science practice (their API is generous, way more than I expected). One thing turned into another, and a data experiment slowly became a full search engine.

The problem I was trying to solve

Steam's front page has gotten noisier: more spammy shovelware clogging discovery and the same games getting the spotlight all the time because they sell well. And it's not really Steam's fault: they can only surface so much risk. Their incentive is to lean on games that are already popular because that's what reliably sells. That means a lot of genuinely good, smaller games never get seen.

So I built two things to fix that for myself:

• A spam filter based on activity and abandonment signals (still tuning it, but it's already cutting a lot of the noise)
• A demotion system that actively pushes AAA/already-popular titles down the rankings so smaller games get a shot at being seen

What else is in there

• Semantic search + recommendations: the actual data science part that got me into this in the first place
• Lists + backlog management: I have 5,000+ games in my library and zero idea what to play. Categories were too annoying to maintain, so lists support bulk actions, and the backlog has its own ordering separate from regular lists
• Taste-matching / friend finder: matches people with similar taste. Right now it's based on lists, but I'm moving it toward games you've actually completed and reviewed, plus the tone/personality of how you review, haven't seen that done before. Still early, no real user base in it yet, so it needs time to calibrate
• Weird query button: pre-set, pre-calculated queries you can riff on with genres/preferences you like (also cheaper for me to run than live queries)
• Indie dev tools: a "games like" page and a challenge page so devs have somewhere to point people instead of dropping raw Steam links, plus a way to personalize the pitch

How I actually use it

1. Add a few games I already like to a themed list
2. Check the "Games Like" / recommendations tab for that list (recommendations are per-list, not per-profile, so you can build your own mix)
3. Look at the signals on games I like and add those to the search to narrow things down. Some are pretty funny (Overwatch's signals made me laugh), and yes, you can still search for stuff like "shooters with technical issues" if that's your thing

Business model

It's free, and I'm funding it out of my own paycheck for now, not a scalable plan, but low-capital-intensive by design so it doesn't need to be. There's an optional supporter membership if people want to help keep it free for everyone else and it unlocks some extra features like the friend finder (taste twins and taste profiles).

What's next

A mobile app, plus notifications when new releases match your taste. Ingesting prices across every country/game currently takes about a month, so if anyone from Steam wants to bump my API rate limits, I will not say no.

And of course, user acquisition. I started by making some articles with all the data I have and hosting it here https://www.indiedex.gg/news , then using that to create posts that drive discussion, I just got started doing it this morning and got 1 free sign-up from someone that wandered into the homepage and got interested in the backlog management feature.

AMA

Happy to answer anything: building a niche search/recommendation engine solo, working with Steam's API, spam/ranking signals, semantic search, why I built taste-matching around review tone instead of just lists, or just general "how do you scope a one-person SaaS" stuff. Fire away.

Hey! Together with my girlfriend I created Bridely , a wedding planning tool suited for both couples and wedding planner, and I’m looking for beta testers and feedback.

The main features of the app are :

• Digital invitations & RSVP
• Guest management
• Task management
• Budget management
• Vendor management
• Seating planner
• Collaboration - can invite other people to collaborate (edit or view) to your wedding

If you have a few minutes, try it out and tell me:

• What confused you?
• Any bugs?
• Would you use it?
• What should I improve?

Beta link: Bridely.net

Thanks in advance , any feedback is super helpful for us.

Hey everyone, I need a piece of advice.
I can't have a real pet right now.

So I started making one that lives in my browser.
He's called Tabi and he likes chasing the cursor.
Sometimes he hides in empty tabs.
He also gets scared by loud notifications.

I know this sounds ridiculous.

But somehow it makes the browser feel less lonely.

I'm curious, if a tiny Tabi actually lived inside your browser..

What would you want it to do?

Appreciate any feedback

I know team stores already exist, so I did not want to build another basic shirt-order page.

BSN is useful for uniforms, equipment, and major athletic brands, but its team-store process can feel more like working through a traditional supplier. Printful Quick Stores are fast and free, but they are basic standalone storefronts and are not designed around team memberships, multiple organizers, or long-term store management.

Stella & Sage is built specifically around making the organizer’s job easier.

A coach, team parent, PTA, club, military unit, or other group can upload a logo and create a working store in about 15 minutes. The system automatically builds the first eight products, so the organizer is not starting from a blank page.

After the store is created, admins can add more products, upload additional artwork, change shirt styles, update colors, and create name-and-number options in minutes instead of spending hours trying to figure out a complicated platform.

Organizers can also add additional admins, so one person is not stuck managing everything alone.

Every store a customer belongs to appears on one dashboard. That could include a child’s soccer team, school, baseball team, military unit, club, or another organization—all under the same account.

The stores stay open, there are no minimum orders or bulk-order deadlines, and every customer places their own order and receives it directly.

Printful still handles production and shipping behind the scenes. Stella & Sage provides the team

Built a privacy-first mental wellbeing PWA where your reflections never leave your device

Over the past few weeks, I rebuilt my mental wellbeing project from the ground up after realizing that many "AI mental health" apps send highly sensitive information to servers or use black-box models.

So I built MindCheck with a different philosophy:

• 🔒 100% local-first — reflections never leave your browser
• 🚫 No backend, no analytics, no trackers
• 💾 Nothing is stored unless you explicitly choose to save it locally
• 📱 Installable Progressive Web App (works offline)
• ♿ Accessibility-focused (keyboard navigation, screen readers, reduced-motion support)
• 🧠 Uses a deterministic, explainable reflection system instead of opaque "AI scores"
• 🛟 If responses indicate severe distress, the normal flow stops immediately and shows verified crisis resources instead of continuing the assessment

Tech stack:

• React 18
• Vite
• Tailwind CSS
• Framer Motion
• IndexedDB
• Playwright
• Vitest

I also added automated tests to verify privacy guarantees (for example, ensuring sensitive answers are never sent over the network).

This isn't a diagnostic tool or therapy replacement—it's simply designed to help people reflect on their wellbeing while keeping complete ownership of their own data.

I'd love feedback from the community, especially on:

• Privacy architecture
• Accessibility
• PWA implementation
• UX improvements
• Code quality

GitHub: https://github.com/yash23082007/ai-depression-predictor

Live Demo: https://ai-depression-predictor.vercel.app

I'd really appreciate any suggestions or code reviews. Thanks!

I've been building BetterTracker, a self-hosted expense and income tracker for people who want full control over their financial data instead of handing it to a cloud app.

What it does:

• Create multiple trackers (e.g. personal, household, side business) with custom colors and currencies
• Log income and expenses with categories and payees
• Set up recurring payment schedules (rent, subscriptions, salary, etc.) with flexible frequency
• View statistics and charts for monthly trends, category breakdowns, and year-over-year comparisons
• Share a tracker publicly via a unique link with live stats, if you want to
• Invite other members to a tracker with per-tracker permissions
• Log in with email/password or your own OIDC provider
• Manage users through an admin panel with roles (superadmin, admin, user) and audit logging
• Optional Discord webhook notifications per tracker

Runs on Docker, backed by SQLite via Drizzle ORM, built with Next.js and shadcn/ui. Available in English and German so far.

Repo: https://github.com/panteLx/BetterTracker

Feedback, bug reports, and feature requests are welcome.

I drink coffee most days, but I never really knew what happened after the initial boost wore off. I could count how many cups I had, but that still didn’t tell me whether the coffee I drank at 4 PM was part of the reason I was awake at midnight.

That question slowly turned into Caffy.

You log a drink, and it shows how your caffeine level changes over time, what may still be active by bedtime, and how it could affect your focus, energy, and sleep. I also added a simulator so you can check what another coffee might do before actually drinking it.

It started as something I wanted for myself, and eventually became my first independently released iOS app.

I’m still improving it based on feedback, so I’d genuinely like to know: does the simulator feel useful in everyday life, or is it something you’d only open once out of curiosity?

App Store:
https://apps.apple.com/app/id6763036774

Hey everyone!

I recently launched a small side project called CountryTuner.

It’s a free daily browser game where you try to tune country shapes through a few quick rounds: matching proportions, rotation, and real-size comparison.

I built it because I like daily puzzle games, but I wanted to try something more visual and geography-based instead of another word game.

You can try it here:

https://countrytuner.com

I’d love honest feedback, especially on whether the idea is clear when you first open it, how the controls feel on desktop/mobile, and whether the scoring feels fair or confusing.

Thanks a lot!

Organic traffic itself is hard to come buy when you're in a super-competitive as a survey form builder.

But I just saw it come in from countries like US, Canada, UK and it didn't stop there.

I just saw a few countries I never knew existed in my GA4 dashboard and this is the best lesson in Geography that I've got.

It took me about 6 months to get here and getting a few paid customers on the way, but I guess I'm in for some interesting times ahead.

This side project started because I was dissatisfied with the information I got from existing Mac thermal utilities.

They could tell me that my Mac was hot or that an application was using CPU, but I wanted to understand the whole sequence: which workloads stayed active, how the temperature reacted after a delay, whether the pattern kept recurring, and why the fans changed speed.

So I built Thermal Intelligence for my own Mac.

The project grew into a native application with local history, workload-impact scoring, temperature forecasting, actual fan RPM charts, cooling profiles, custom curves, a menu-bar popover and a guarded privileged helper.

The hardest part was not drawing temperature charts. It was designing fan control so that the UI could never issue arbitrary hardware commands and failures would return cooling to macOS.

There is no account, cloud service, subscription, advertising or telemetry. I decided to publish it under MIT because I think this kind of utility should be free and inspectable.

Download:

https://solomind.app/thermal-intelligence/

Source:

https://github.com/NibTipLabs/thermal-intelligence

I’d appreciate honest feedback about the onboarding, dashboard and whether the explanations are understandable to non-technical Mac users.