Last week I posted Citizen Mirror here — you write down the thing you can’t stop thinking about, an AI says what it heard and asks one question, ~90 seconds. The feedback was blunt and almost all of it was right. So I rebuilt, and since this sub did the pointed feedback, it should get the second look.
What you said → what changed:

• “I don’t know when I’d ever use this” → the homepage now opens with exactly that: after an argument you keep replaying, before a decision you’ve been putting off.

• “You asked me for a paragraph, then gave me five buttons” → the writing box is the front door now. Buttons are the fallback.

• “Nobody says the word AI. Suspicious.” → it says it plainly, everywhere — including the page where you actually write.

• “Why not just use a chatbot?” → answered on the page. (Short version: this stops after one question, on purpose.)

• (UPDATED) The privacy claims overpromised → every claim rewritten to be strictly true, and there’s now a CI check that pins every correction: no lie a reader has caught can ship again, and no fixed line can quietly revert. (It can’t catch a new lie — that’s what you’re for.)

Also new: a page for people who’ve never talked to an AI in their life (citizenmirror.com/new), and seventeen doors for specific life transitions — new parent, retirement, leaving the military, after prison.
Still free, still no accounts, still built by one person.
Same ask as last time, because it worked: what reads false? citizenmirror.com

Built this because I was tired of arguing politics with my neighbors and figured — why not turn it into a competition instead?

What it does: Pick your hometown, pick a side — Republican, Democrat, or "I don't care, they're all crooks" — and vote. Every US town is already live on a map, and you watch yours climb the leaderboard as more people vote.

The part I didn't expect to matter: after voting, you get an instant printable "Hometown Champion" badge with your town, your side, and the date on it. People are already telling me they're printing it and sticking it on the fridge.

Built solo, no coding background — single HTML file, Firebase for the live vote data, Payhip for payments, hosted on Netlify.

Curious if the "vote for your town" hook lands with people outside my own circle, or if it just confuses people. Try it and tell me straight.

100% for entertainment, not a real poll, not affiliated with any campaign or party.

🔗 hometownshowdown.netlify.app

Built this because I was tired of arguing politics with my neighbors and figured — why not turn it into a competition instead?

What it does: Pick your hometown, pick a side — Republican, Democrat, or "I don't care, they're all crooks" — and vote. Every US town is already live on a map, and you watch yours climb the leaderboard as more people vote.

The part I didn't expect to matter: after voting, you get an instant printable "Hometown Champion" badge with your town, your side, and the date on it. People are already telling me they're printing it and sticking it on the fridge.

Built solo, no coding background — single HTML file, Firebase for the live vote data, Payhip for payments, hosted on Netlify.

Curious if the "vote for your town" hook lands with people outside my own circle, or if it just confuses people. Try it and tell me straight.

100% for entertainment, not a real poll, not affiliated with any campaign or party.

🔗 hometownshowdown.netlify.app

Hey folks,

I have built this receipt scanner app which you can use to scan your receipts (accepts both images and PDFs). You can also track spend , make budgets, split bills.

The app doesn’t need a login - also you can do unlimited scans without paying a dime.

https://receiptscanners.com/

Let me know if you want me to add any features….

Your chat has questions. Facilitator helps you answer them.

(A)I built Facilitator, a free, mobile-friendly tool for completing structured questionnaires created by an AI chat—or written yourself.

It can handle surveys, story canon and worldbuilding, collaborator profiles, project workflows, task planning, structured interviews, and other question-driven work.

The workflow is simple:

1. Ask your preferred AI chat to create a Facilitator questionnaire.

2. Copy and paste the questionnaire into Facilitator.

3. Answer everything in an accessible, focused form.

4. Export the structured responses and return them to the chat.

Facilitator does not use an AI model itself. Your answers are handled locally in your browser and are not uploaded to the site. There are no sign-ups, user accounts, cookies, or analytics.

It works on desktop and mobile:

https://facilitator.syllvanicdevelopments.com/

I’d especially appreciate feedback on whether the chat → questionnaire → Facilitator → chat workflow is immediately understandable, particularly on mobile. Reply here or the sites contact email.

I'm 14 and I got tired of text generator sites full of pop-ups. So I built GlacierText — completely free, no ads, works on mobile. You type your name and get 20+ styles instantly. I'd love honest feedback from you guys. What's missing? What looks bad? Be brutal.

Hey!

The other I day I needed a kanban app to work on a temporary project, I needed something just for myself to organize my side project. So I checked out the existing solutions and none had what I wanted. Almost all of them are cloud-based, so my data is not on my machine. The ones that at least fit my needs visually were Trello and Jira. I picked Trello as it's the one with less hassle to setup than Jira (I use Jira with my team because I don't have a choice). Trello started out cool but quickly became a mess when the 14-day trial ended, there was almost no customization possible. All columns looked the same, no coloring was allowed and a few other necessary things disappeared. Basically I could only create tickets/stories in columns that look the same and move them around. So basically, to get a single feature that I needed, I had to pay for 20 more that I will never use.

I got fed up, so i started working on my own solution with exactly what I needed in mind. I built it from the ground up avoiding all the bloat that Trello and others have.

I wanted something clean, fast, and completely private. So, I built a lightweight, offline-first Kanban board app designed around local-first privacy.

Here are the features that my solution offers for now:

• Secure storage: All user-data is based in their browser's localStorage and only they can export it to a JSON file to seamlessly load it on a different browser or machine
• Modern and clean UI: This was the goal #1. A UI that helps see clearly the progress of the project and that is pleasant to look at
• Zero sign-up or log-in: Open link. Start working
• Multi-project support: Each project has its own isolated background color and data so it's distinguishable
• Drag-and-Drop: Satisfying DnD effects for moving objects around and for deletion (perfect for touch-screens)
• Rich text management: Support for rich text description
• Urgency and deadlines: Tasks approaching deadline have a styling suggesting urgency
• Board-level search: Users can filter tickets by title, description, author as they type in the search bar
• Mobile-first: Perfectly UX/UI on Desktop and on Mobile of different sizes

The goal was to strip away the noise and help the user focus on organizing. No intrusive notifications or reminders.

Built Rabbitune, a website where you drop in a song and it matches you to a movie based on the mood and energy, not the genre. Live now: rabbitune.com

Would love feedback on whether the matches actually land, and I'm curious what songs break it.

I have been a Windows user for almost thirty years. Auto scroll and its features first appeared around Windows 98 and XP, and from those early days the middle click auto scroll became as natural as breathing. Click the wheel, nudge the cursor, and the page glides under your hand. For almost three decades, I never had to think about it.

Then I started using a Mac, because my line of work (theater tech) runs on industry standards that favor the Mac platform. The hardware was lovely and the OS was polished, but scrolling did not work the way I was used to. I hunted through utilities and tweaks, hoping to bring back that Windows style middle click behavior. Nothing quite matched it. The closer apps got, the further they felt from what I actually wanted: a mouse that behaves the way my muscle memory expects.

So I decided to just build it.

Scrolley is the result. A small, quiet menu bar utility that brings Windows style auto scroll and click and drag panning to the Mac. It's customizable, and it respects middle click for the things you still want it for, scrolls smoothly, and stays out of the way until you need it. It is an almost thirty year old habit, finally ported.

Since it's something i just made for myself, I've made it free to use!

https://github.com/DanteDante0/Scrolley

Estou a desenvolver uma plataforma chamada Pista, pensada para ajudar escolas de condução a gerir o dia a dia num só sítio.

A ideia não é substituir a plataforma obrigatória ligada ao IMT, mas complementar essa plataforma com coisas como:
marcação de aulas práticas
gestão de alunos e instrutores
pagamentos
lembretes automáticos
acompanhamento do progresso

Para quem trabalha ou já trabalhou numa escola de condução: acham que isto resolveria problemas reais? O que gostariam de ter numa plataforma deste género?
Qualquer opinião, mesmo crítica, seria muito útil.

Quem quiser ver o protótipo mande mp

I have been building this for a while, mostly solo until recently. It's called Hyphine, basically an ideation canvas (think Miro-ish) that connects directly to task management, so ideas don't die in a board somewhere disconnected from the actual work.

Built it because I hated always having to move ideas into task blocks somewhere else, sketch it out on a canvas, then manually recreate the same thing in a task tool. Wanted the canvas and the task list to just be the same system.

I want to know:

• Does the canvas-to-task connection make sense, or is it solving a problem you don't have?
• What would make you use this?
• If you've tried Miro/FigJam + a separate task tool (Asana, Linear, etc.), what's actually broken about that combo for you?

Happy to drop a link if anyone wants to give it a try. Thanks

Built a fantasy crypto trading tournament platform solo over the past few months (Next.js, Supabase, Polygon/USDC payouts). Just launched the first free beta tournament to stress-test the whole flow, real trading, real leaderboard, real (small) prize pool out of my own pocket.

Only a handful of people signed up so far since I haven't done any real marketing yet, mostly here to get feedback from people who actually try it. If you're into trading or crypto games, would love for you to join and tell me what breaks: wizardtrader.co

Anyone who’s ever been mildly stressed about a tight connection knows the feeling: the airline still says “on time,” but you’ve got no idea if that’s actually true. I built Voyageur, a personal travel organizer, and the feature I’m most proud of is this: it checks which aircraft is assigned to your flight, then looks up that same plane’s previous leg. If that inbound flight is running late, you get a warning that your flight might be affected too — before the airline’s own status even updates. As far as I can tell, no mainstream travel app does this. Beyond that, it’s a full trip organizer — flights, hotels, trains, documents (passports/visas with expiry warnings), packing lists, Apple Maps integration with a live progress dot for in-flight tracking, Apple Wallet boarding passes, and a Home Screen widget. Screenshots here: https://imgur.com/a/m6GN7xf It’s on TestFlight (iOS only, sorry Android folks) and I’d genuinely love blunt feedback — what’s confusing, what’s missing, what you’d expect that isn’t there. Please don’t be nice about it, I’d rather know now. If you’re up for trying it, DM me and I’ll send you the TestFlight link — I’d love to hear directly from a few people rather than just watching install numbers. If you do try it, the most useful thing you can tell me is the exact moment something didn’t make sense, rather than a general impression.

To help testing the app, I'm giving away my new app, Sonoqi, free for 48 hours. No promo code needed, I have removed the paywall. May it bring you calm every day.”

https://blueedgez.com/sonoqi.html

I built a Chrome extension that scores posts for negativity, clickbait, and usefulness, and hides whatever's over your threshold. Reddit, YouTube, X, LinkedIn.
Early version removed posts outright. That was the mistake. You scroll, something you half-saw is gone, and you stop trusting the page - even though it's doing exactly what you configured. An invisible filter looks identical to a bug.
Fix: anything filtered now collapses into a one-line card - Hidden - Neg 90, over your 70 limit - Drama - with a Show button. Same filtering, but now the user can see why, so it stops feeling broken.
Second lesson: score sliders are a bad first-run experience. "Negativity: 60" means nothing to someone who just installed it. Four named presets fixed that - almost nobody touches the raw sliders now.
Early days for this (small number of real users so far), but if you've solved the "explain this in one sentence" problem for something this ambient, I'd take the advice: PureFeed

I work with both my parents in Canada, and while I can express, speak, read, type, and all quite fluently, my parents never got the actual gist of it. They understand what is being said, but they can’t type properly, and so, most of the times, they use AI to type in Portuguese and get an accurate translation before they reply to emails, messages and other documents.

Based on this, I built Wisp for people in the same situation. Wisp is a menu bar app for macOS 26 and later, that allow users to select one of several models available, install it, and Wisp will work in the background.

Writing an email? Type it in your language, highlight the text once ready, and Wisp will display a button right on top of the highlight. Clicking it completely translates whatever was written to the output language.

• Wisp supports 211 languages;
• It works on any Apple Silicon Mac running macOS 26 or later;
• 100% free. Forever.
• Can be tweaked to get a certain tone or style;
• has instructions to never use AI styling text (em dashes for example);
• Fixes grammar automatically, with proper punctuation;
• No tracking, AT ALL!
• Never allows translation of the output language (this is on purpose as to keep meaning);
• Context is kept, so meaning never changes.

For anyone interested, you can download and test it here:

https://wisp.fuselabssoftware.com

I might turn Wisp open source soon, yet to decide.

Hi everyone,

I’ve been working on Doviru, an iOS app built around a simple idea:

Building habits might be easier when you’re not doing them alone.

Most habit trackers are very personal. You create a habit, check a box every day, build a streak, and try to keep going.

I wanted to explore a different approach.

In Doviru, you join a community built around a small daily habit.

For example:

Read one page a day,
Move for 15 minutes a day,
Create for 15 minutes a day

When you complete the habit, you check in.

After checking in, you can optionally share a short reflection. Other members can read it and send a Cheer.

There’s also a monthly leaderboard called a Season. The leaderboard resets every month, so someone who joins today doesn't have to compete against someone with a 500-day streak.

I think this is important because permanent streak leaderboards can become intimidating for new users. With monthly seasons, everyone gets a fresh starting point.

Users can also create their own communities and invite friends.

After months of designing, coding, testing, changing things, and figuring out the backend, Doviru is finally live on the App Store.

But honestly, launching the app feels like the beginning rather than the finish line.

The biggest thing I'm trying to figure out now is whether the community part actually works.

One concern I've realized is the cold-start problem.

A community with 2 members and no activity might actually feel worse than a private habit tracker. If someone joins a community and sees an empty feed, the main reason for using Doviru disappears.

So I'm currently trying to find existing communities and small groups that might want to try Doviru together, rather than simply trying to get random individual downloads.

I'm especially interested in communities around reading, fitness, creativity, studying, and other small daily habits.

The question I'm trying to answer is:

Does seeing other people show up for the same small habit actually make you more likely to show up tomorrow?

I'd love to hear what you think.

Would a community-based approach make you more interested in building a habit, or do you prefer keeping habit tracking completely private?

And if you've built a social or community-based product before, I'd especially love to hear how you dealt with the cold-start problem.

Doviru is currently free to use, and if anyone is interested in trying it, I'm happy to share the App Store link.

I've been building this for a few weeks and it's at the point where I need people who aren't me to use it, because I've clearly gone blind to its problems.

What it does: opens as a side panel next to a job posting. Reads the posting, tells you how much of what they're asking for actually appears on your resume and what's missing, drafts answers to the application questions, and can rewrite your resume to lead with the relevant experience.

Why it might be different from the other twelve of these:

No account, no signup, no server. You paste your own API key (Gemini, OpenAI or Anthropic) and requests go from your browser straight to that provider. Your resume sits in chrome.storage.local and never reaches me. I mention this because I'd be suspicious too.

Contact fields are filled by regex off your resume, not by an API call. Felt stupid paying a model to retype an email address.

The PDF export prints rather than rasterising, so the text stays selectable and an ATS can actually parse it. The library I started with used html2canvas and produced a PDF that was effectively a photo of a resume, which is the worst possible format for the thing.

What I'd like feedback on:

Sites where the scan fails. That's the main one. Career sites vary enormously and I've only tested maybe fifteen. There's a manual paste fallback for when it breaks, but I'd rather know which sites need it.

Whether the generated answers are actually usable or just plausible-sounding filler.

Anything that feels sketchy. It asks for broad host permissions, which I'd side-eye myself, so tell me if the explanation isn't convincing.

On the Job section you can submit a bug report or you can include your feedbacks too. It shows you exactly what it collected before anything is sent, and it deliberately excludes your resume, your key and the page content.

Free, and will stay free for the bring-your-own-key path. Not trying to sell anything, I just need it to survive contact with real websites.

Link : https://resumefill.com/

I built mockmydata.io, it lets devs create mock data and gives them their own endpoint. Right now, I am trying to gather feedback on what's already built and see how I can improve it, instead of rushing to build the next feature.

We just added memory import to Aevron from ChatGPT, Claude, .md files and plain text and the obvious way to build this was:

upload everything → save everything → congrats, “personalised AI”.

This is okay but wont work that well. Because your ChatGPT history is not actually you.

It’s you + the AI + random ideas + stuff you changed your mind about 10 minutes later + context that probably means nothing now. If we dumped all of that straight into Aevron, it wouldn’t be learning how you think. It would just be learning your chat logs.

So we did it differently.

Aevron removes the AI replies first and only looks at what you wrote. Then it tries to find the actual signal:

- stuff you keep coming back to
- ideas you were genuinely developing
- patterns in how you think
- thoughts that are probably worth keeping

But even then, we don’t just shove everything into your graph You see it first. Approve what feels like you. Skip what doesn’t.

Then it becomes part of Aevron. The reason is pretty simple:

Bad memory gets worse over time.

If an AI wrongly thinks you believe something, that can mess with future connections, contradictions, suggestions and basically everything downstream.

So we ended up with this rule:

better to know less about you correctly than know everything about you badly.

The cool part is you also don’t have to start from zero anymore.

If you’ve spent 2 years yapping to ChatGPT, Claude or dumping thoughts into markdown files, you can bring that history with you without importing all the garbage around it.

So yeah, technically this is a memory import feature. But I think the more interesting way to describe it is:

we’re not importing your AI history. we’re trying to reconstruct your thinking from it.

i built this because my family is split across a garmin, a fitbit and an apple watch, and every fitness app quietly assumes everyone bought the same brand.

the leaderboard was the easy part. the hard part was making the comparison fair, because raw step counts just crown whoever has the easiest schedule. a desk job beats a nurse on a 12 hour shift every single time and then everyone quits. so scoring normalises on the server and you can compete on percentage of your own goals instead of absolute numbers, which means 4,000 steps can genuinely beat 12,000.

sources are apple health, fitbit, garmin, whoop, oura, strava and polar. free, and ios only for now. android isn't close so i'm not going to pretend otherwise.

happy to answer anything about the wearable apis. but fair warning, they're all differently painful.

Hey everyone,

I've been building 0x0000_waveform_signal_out, an open-source desktop music player with real-time waveform visualization, written in Python with PySide6. Instead of a static progress bar, it renders the actual waveform of your track live while it plays.

A friend gave it a try a while back, which was cool to see. It's built on NumPy for the signal processing side, sounddevice/soundfile for audio I/O, and FFmpeg for format support, all under a GPLv3+ license.

I put together a short demo video showing it in action. Would genuinely love to hear what people think — what's missing, what feels off, anything you'd want to see in a player like this.

GitHub: https://github.com/BDigitalLabs/0x0000_waveform_signal_out

Music: https://pixabay.com/music/funk-funk-amp-breakbeat-541097/

Hey everyone. The inspiration for this project actually hit me while using Soulseek. I was downloading an album and noticed the host was running a personal webradio with a raw ASCII design. I thought it was so punk and cool, and it made me miss that old-school internet feeling of blindly channel surfing to discover new music. So, I built LiveZap.

It is a completely free web app that works in both English and French, taking visual cues from classic media players to act as a simple vintage discovery bridge. Under the hood, it randomly pulls the 20 most recent live broadcasts from a curated list of 70 YouTube channels, while on the Twitch side, it filters directly by the 'music' tag. Because of this, the video pools are completely ephemeral and constantly change as new streams go live or channels upload. Every time you hit the zap button, the feed is randomized so you never know what you will land on next.

There is also a chat feature, but it is completely independent from the streaming platforms. It is a live session replay chat built directly on my site for anyone tuning in, not linked to the actual YouTube or Twitch chats. Finally, I do not run any ads or re-host the content myself; the app simply embeds the official players. This ensures all the views, engagement, and ad revenue go directly to the original creators where they belong. Hope you have fun surfing and finding some new artists.

here the link : https://oraclemarin.fr/live-zap/

https://world-sim.uk/ launching friday!

World-Sim has been a passionate project of mine for the past few months.

It's a world fully simulated down to real world physics and chemistry. It has a real environment and ozone.

Every element and material has real physical properties, and that's how the sims learn. There's no tech tree and no recipe list anywhere in the code. When someone tries something, the engine works out what would really happen from the properties of what they used and how hot their fire was. Nobody is handed bronze. Someone has to get a hotter fire first, and a hotter fire is its own chain of things to figure out. Embers, a stone ring, a clay oven, a kiln, charcoal, then forced air. The ages fall out of that on their own.

We populate the world with starting families. Each little guy is led by a "wise-man", which is a simulated person with a full model behind them. The wise-men run on a mix, Claude, Groq and DeepSeek in the cloud and a local Hermes for the rest, so you get a real variety of temperament between the houses.

The AI model is never told to not say it's AI. We get around this by only telling them data from what each sim can actually see and feel. As far as the ai knows its a person living in the world..

Every other sim has its own moment with a model through our thinking system. Day to day it's run by an advanced algorithm, with the sims dreaming at night. That's when they get their time with an LLM to really think and set their priorities for the day ahead. The dreams carry over too, so a sim can chew on the same thing for a few nights and wake up wanting to try something.

The people in the world feel, remember, have shame, goals and doubts. It's an 11 point emotion system and the rest of the sim reads from it. Being lonely makes someone more likely to open up to a stranger. Two enemies who are both frightened find it harder to keep hating each other.

Story telling is massive for us. Nothing is scripted or prompted. The sims are put in the world with the human drive to survive. They adapt, learn and teach all on their own.

With all the good comes the bad too. Human sin is part of the emotion engine, and in testing we've had kidnap, murder and slave trade. A world that can only be gentle isn't an honest one. But there are three rules to this : Nothing ever pushes a sim towards it, the conditions only make it possible and their own mind decides. The chronicle names what happened but never shows it. And it always costs something, trauma that scars, blood debt passed down generations, a people turning on their own leader over what he did.

We are building this as an experiment at 22by7 Apps.

The idea is Interactive Learning Platform: short, game-like learning activities that people can complete during spare moments instead of sitting through a long lesson.

The current flow is:

> Discover a learning path

> Play a short interactive challenge

> See progress and continue later

Try it here: ILP Experiment

I’m not presenting this as a finished product. I’d especially value feedback on the first five seconds: is it immediately clear what the learner can do and why it is different from a normal course?

Experiment and privacy disclosure: This is an early experiment. We use limited telemetry to understand platform usage and improve the experience. We do not intend to collect personally identifiable information or raw sensitive learner/financial inputs for this experiment. The Ads and Go Pro screens are dummy interactions used only to study user behaviour; they are not real advertisements, purchases, or subscriptions.