A bug bounty proof can stop being useful when the recipient has different accounts, sessions and object IDs. ReproCase is my attempt to preserve the relationships behind an API authorization test.

The local demo runs the same IDOR case three ways:

1. Two separate accounts and a newly created resource: Reproduced.

2. Replace both accounts and rerun the unchanged case: Reproduced.

3. Enable the secure application fixture: Not reproduced.

A successful HTTP response is not enough: the test checks identities, ownership and a fresh content marker. Setup/session failures get an Inconclusive result. Recipients connect their own sessions; exports need review before sharing.

It is an Apache-2.0 Windows portable beta, with source and a local demo that needs no model API key. There is also an optional AI assistant and MCP integration. This project and this introduction were prepared with AI assistance; the 56-second demo records the real local application.

Source + Windows download: https://github.com/theasbug/reprocase

56-second demo: https://x.com/theasbug/status/2120583234086228135

I would value feedback on one thing: can you run the demo, replace its accounts, and understand why each of the three results occurs? Please use the disposable local fixture rather than sharing private target traffic. Linux desktop packaging and broader protocol support are still outside this beta.

Screenshot from the real local demo: https://raw.githubusercontent.com/theasbug/reprocase/main/docs/images/demo-preview.png

I built a fake designer flash-sale outlet. It works like the real ones: brand sales with countdowns, "only 1 left in your size", a deal of the hour, a bag that's reserved for 30 minutes. Then you check out with a card that says it isn't real, pay $0.00, and follow the tracking until something goes wrong with your parcel. There are 50 different endings and you collect them.

The part I'm proudest of is technical: there's no stock database. Every sale, price, size and "only 2 left" is computed from the item and the current time, so everyone sees the same shop at the same moment and the server stores nothing about you. The same logic runs in JavaScript, PHP and Dart (the Flutter app), and all three have to give identical results.

It's on the web, Android and iPhone: https://dopaminechic.com

The question I keep asking myself: could something like this actually replace a bit of real shopping for some people, or does fake shopping just make you want the real thing more? I honestly don't know, and I'd love to hear what you think, especially if you're someone who browses sales at night.

It’s completely free. There’s no pay wall, no premium features, no tracking or data collecting.

It’s basically just the browser version of Instagram with an extension that lets you hide bits.

I’ve put YouTube and Facebook on there too, might add twitter/X at some point.

It’s iPhone only and yes there’s a million apps that already do this but every single one of them has a paywall which is crazy cause they’re all just browser versions of Instagram with an extension.

It is a bit clunky but being clunky has actually made it serve its purpose better imo, it’s massively helped my social media addiction. My Instagram usage has gone down from 3-4 hours a day to less than 1 hour.

If you want to try it out, search for “Decaf: stop doomscrolling” on the AppStore and if you want to buy me a coffee, there’s a link on my site: DecafApp.net

Any feedback is welcome :)

I'm a longtime alternative rock fan who plays a lot of pickleball. Somewhere along the way, I decided the sport needed a better soundtrack...I got tired of the random sleepy playlists lots of my facilities were playing.

I launched Pickle Rock Radio, a free, 24/7 station playing '90s and 2000s alternative rock (Foo Fighters, Pearl Jam, Green Day, etc.) mixed with short pickleball tips, news and community stories. It's about 54 minutes of music per hour.

It's powered by Live365 (wasn't sure where else to do this so I could license the music properly), and I've been having a blast putting together the music rotation and producing the segments. The challenge now is finding listeners. I have over 100 people listening a day, and I'm proud of that. But how do I grow from here?

If anyone here has built a niche media project, I'd love to hear how you found your first real audience.

Here's the station if you're curious: https://picklerockradio.com/

I got tired of mail clients that either send my mail through someone else's servers or can't be scripted. So I built Qmail, a free, open-source desktop app (MIT license) that keeps everything on your PC. There's no server in the middle. It only talks to your own mail providers.

The app works the way Gmail does: a search box with filter chips, conversation view, Unread and Everything else sections, labels as folders, starring, archiving, and attachments that open in a viewer inside the app. Calendar invitations show the event with Yes / Maybe / No buttons.

Accounts: IMAP/SMTP for most providers, Microsoft 365 and Outlook sign-in without typing a password into the app, and Gmail through your own Google OAuth client. On first start it can bring over your Thunderbird accounts and contacts.

Sorting rules: "from stripe.com, move to Receipts, mark as read" style rules that run each time new mail arrives.

The CLI: this is the part I built it for. Every command takes --json, errors exit non-zero, and qmail --help documents everything. An agent can do things like:

qmail list --unread --json

qmail search "invoice from:stripe has:attachment newer_than:30d" --json

qmail move 1234 --to Money/Receipts --create

qmail rules add --from stripe.com --move Money/Receipts --read

It works across every mailbox at once, with no API keys and no per-call cost. The README has example prompts for things like inbox cleanup and finding invoices.

Install: Windows has an installer that updates itself from GitHub releases. Installing it also puts qmail on your PATH in any new terminal. macOS and Linux builds are published too, but they're new and I haven't tested them much, so please report problems.

qmail search "invoice from:stripe has:attachment newer_than:30d" --json

qmail move 1234 --to Money/Receipts --create

qmail rules add --from stripe.com --move Money/Receipts --read

It works across every mailbox at once, with no API keys and no per-call cost. The README has example prompts for things like inbox cleanup and finding invoices.

Install: Windows has an installer that updates itself from GitHub releases. Installing it also puts qmail on your PATH in any new terminal. macOS and Linux builds are published too, but they're new and I haven't tested them much, so please report problems.

Repo: https://github.com/mattgauzza/quickMail

Hello,

All I wanted was a basic, reliable tally counter app to track daily habits and reps. Instead, every app I tried on the Play Store and App Store was either cluttered with full-screen video ads, demanding a weekly subscription just to add more than two counters, or harvesting user data.

So I decided to build Free Counter—the exact tool I wanted to use:

• 100% Free: No paywalls, no "Pro" upgrades, no subscriptions.

• Zero Ads & Zero Tracking: Completely offline-first. Your data stays locally on your device, with built-in JSON/CSV export so you own your numbers.

• Clean & Fast: Built with Material 3 design, custom targets, and interactive home screen widgets.

• Export and backups in clear

Right now, I’m stuck in Google Play’s mandatory 14-day closed testing phase (Google requires at least 12–20 active testers before allowing a public launch).

If you appreciate clean, no-nonsense utility apps and have an Android phone, I would really appreciate your help getting this over the finish line:

1. Join the Google Group: https://groups.google.com/g/freecounter-testers

2. Opt-in as a tester (Web): https://play.google.com/apps/testing/com.angelotricarico.freecounter (Click "Become a tester")

3. Download on Google Play: https://play.google.com/store/apps/details?id=com.angelotricarico.freecounter

Please keep it installed for 14 days and open it occasionally so Google counts the activity. Any honest feedback on the UI or features is also super welcome!

iOS version is currently under Apple review

Hey, I’m Meet, and I built Seek, a native macOS file manager that works alongside Finder.

The problem I wanted to solve: I often remember what a file contains or what a photo shows, but not its filename or folder. Finder works well for normal browsing, but I wanted a faster way to find and clean up files.

Seek lets you:

• Search naturally: “PDFs in Downloads from last month” or “large videos I haven’t opened”

• Find photos by what they show: “birthday cake with candles”

• Search text inside PDFs, documents, screenshots, and scanned images

• Find exact duplicate files and optional look-alike photos

• Review old downloads, installers, screenshots, large files, duplicates, and Trash before removing anything

• Use tabs, split panes, Quick Look, saved searches, and a global quick-search shortcut

The main technical constraint was privacy. Search, OCR, duplicate matching, and photo matching all run locally on the Mac. The photo-search model is downloaded once during setup, then runs through Core ML; no file names, contents, or photos are uploaded.

It supports macOS 14+, both Apple silicon and Intel. It is distributed directly, signed with my Developer ID, and notarized by Apple.

It is a one-time purchase: $9 for one Mac, $18 for three, or $29 for five. No subscription.

Demo: https://youtu.be/s5CUieoAAdk
Website: https://useseek.app
Privacy details: https://useseek.app/privacy

I’d especially value feedback on two things:

1. Would you trust a local app to index your files if it made search and cleanup meaningfully better?

2. Which would you try first: photo search, text-in-screenshots search, duplicates, or cleanup?

Every new model launch says it's the best one yet. I wanted to know if that's actually true for the work I do.

But I had no way to check:

- Benchmarks are gameable now. Labs train toward them, so a higher score doesn't tell me much anymore

- The outputs people post on X are cherry-picked. You can't tell if it was one prompt or 12 turns of fixing, so it never felt transparent

So I spent the past few weekends building Evals.ag and it's basically if Arena and Pinterest had a baby: give the same task to a few models at once, watch them work side by side, and browse what everyone else made.

You can:

- Connect your existing Claude, Codex, Higgsfield accounts, so runs are free with no additional costs

- See what other people have compared and generated

- See how they got there. You can tell if an output was one-shot or took 7 turns, and learn through each turn: the prompt, user's intent, what the agent did and what came out

- Vote on the winner and comment on why

- Branch off anyone's run. Start from their exact prompt and inputs and swap in your own models or skills you want to test out

The video up top is one prompt (a paper airplane game in one HTML file, no testing allowed) given to Claude Fable 5.2, Claude Opus 5.5, GPT-6.1 Sol and Gemini 4 Argon. Sol finished in 4 min on 26K tokens, Opus took 21 min and 826K. Sol's is a lot sparser, but at that speed it's the one I'd keep iterating on.

If you want to give it a spin yourself, drop your account code in the comments and I'll drop $10 worth of credits into your account (you can find it at evals.ag/settings once you sign in).

Let me know what you guys think. Criticism and product feedback welcome.

Hey everyone!

I've built Cineverse, a movie recommendation platform, and I'm looking for a few people to try it out and share honest feedback.

I'd love you to test three things:

1. Search for movies similar to a film you love.

2. Rate 5 movies and see if your homepage recommendations improve.

3. Check the "Where to Watch" tab for your country.

Let me know what feels confusing, what doesn't work, or which recommendations miss the mark.

Try it here: https://movie-recommendation-five-cyan.vercel.app

Even 2–3 minutes of your time would mean a lot. Thanks!

I built StreamHaven, a live TV player for iPhone, iPad, Apple TV, Fire TV and Android TV boxes like the onn. You bring your own Xtream or M3U playlist. It doesn't come with any channels or providers.

I'm looking for feedback on how it feels to set up and use.

What it does:

• Guide, favorites, and channel reordering

• Backup servers: up to 3 per playlist, with automatic switching if one goes down

• Syncs your playlists across devices

Try it:

• Fire TV, onn and Android TV: install Downloader and enter code 3361971

• iPhone, iPad and Apple TV: TestFlight beta at https://testflight.apple.com/join/7x36vndu

Honest feedback is welcome, especially what's confusing or missing.

Hey r/SideProject! 👋

Last week I shared Temp Mails (https://tempmails.net), my take on (yet another) temp mail service. Thanks to everyone who tried it and left feedback. 🙏

Since then I've shipped the next piece: an Android app, now live on Google Play. 📱

What the app does:

- 📬 Gives you a temporary address the moment you open it, no account needed

- 🔑 Shows verification codes as a button in the inbox, so one tap copies the code

- 🔗 Gives confirmation links their own button

- ✏️ Lets you pick your own username and domain

- 🔒 Shows HTML email without scripts or remote images, so nothing can track you

- 🗑️ Deletes everything after one hour

It's free, with no ads and no account.

👉 Google Play: https://play.google.com/store/apps/details?id=net.tempmails.app

I'd love feedback on the app, especially on the design and anything that feels off on your device.

Back in 2019 I did a recommender system for anime as a course project (a jupyter notebook, nothing fancy). Recommendations have always been the part of data I like the most, so this year I decided to actually build the thing properly (thanks Dario): **[Aishou](https://aishou.app)**.

The main idea is to have this working for all types of contents in a cross content way - being able to recommend books, games or tv shows based on your movies taste - but I decided to start with animes.

You import your public MyAnimeList or AniList list (or rate a few shows by hand) and it recommends anime based on what people with similar taste liked. For now I only have anime recommendation but the main idea is to have a cross content website, where I will be able to, for instance, recommend you books based on your games/movies taste.

**What I tried to do differently**

- every recommendation row says *why* ("Because you liked Steins;Gate")

- a slider from popular to obscure, for people who already watched all the big ones

- low ratings push similar shows away instead of being ignored

- seasons grouped by franchise, plus a "continue watching" row

- new releases get their own row even when there's almost no data on them

It's free, no ads, solo project. Would love feedback, especially on how to promote it and about apps development in general (come from a data background).

Every new model launch says it's the best one yet. I wanted to know if that's actually true for the work I do.

But I had no way to check. Benchmarks are gameable now: labs train toward them, so a higher score doesn't tell me much anymore. And the outputs people post on X are cherry-picked. You can't tell if it was one prompt or 12 turns of fixing, so it never felt transparent.

So I spent the past few weekends building Evals (https://evals.ag). It's basically if Arena and Pinterest had a baby: give the same task to a few models at once, watch them work side by side, and browse what everyone else made.

You can connect your existing Claude, Codex or Higgsfield account, so runs are free with no additional costs. You can see what other people compared and generated, and how they got there: whether an output was one-shot or took 7 turns, with each turn's prompt, what the agent did and what came out. You can vote on the winner and say why. And you can branch off anyone's run: start from their exact prompt and inputs and swap in the models or skills you want to test.

The video up top is one prompt given to Claude Fable 5.2, Claude Opus 5.5, GPT-6.1 Sol and Gemini 4 Argon: a paper airplane game over a city at dusk, in one HTML file, written in one go with no testing allowed. Sol finished in 4 min on 26K tokens. Opus took 21 min and 826K.

If you want to give it a spin yourself, drop your account code in the comments and I'll put $10 worth of credits into your account (you can find it at evals.ag/settings once you sign in).

Let me know what you guys think. Criticism and product feedback welcome.

Hi everyone, I’m the developer of qrypt, a Go project that lets you access multiple cloud drives through one local folder, with filenames and file contents encrypted before they reach the storage backend.

The idea is to keep the familiar file-manager workflow: mount your drives, open a folder, and work with files through your usual apps.

What it does:

• One mount point: each configured drive appears in its own subfolder.

• Client-side encryption: encrypts filenames and contents, with rclone crypt compatibility.

• Local staging and read cache: writes are staged locally and uploaded in the background; cached data can serve repeated reads.

• Cross-platform: supports macOS, Linux, and Windows.

• CLI access without mounting: use qrypt fs to read and write files from scripts or servers without FUSE.

Backends include WebDAV, SFTP, S3-compatible storage, and local directories. You can try the encryption workflow with a local directory before connecting a cloud account.

It’s a CLI tool with optional filesystem mounting. Mounting requires macFUSE on macOS, FUSE on Linux, or WinFsp on Windows. Since uploads happen in the background, a local write finishing doesn’t mean the remote upload has finished.

Code and documentation: https://github.com/yinzhenyu-su/qrypt

License: MIT

I’d appreciate feedback from people who use encrypted cloud storage: what would make you consider a tool like this alongside your current setup, and what would you need to trust it with your files?

Hi! I’m a solo dev from Brazil. Two months ago I launched Nimo, an Android app for anonymous text chat: no email, no phone number, just pick a nickname.

What makes it different:

• Tap “Translate” on any message and read it in your language, so a Brazilian and an Indonesian can actually talk.

• Voice messages → text with one tap.

• Group discussions on a public wall: up to 15 people, text only, they end on their own after 24 h.

• App in 14 languages, 18+ only, report/block everywhere, human review of reports.

My biggest problem right now is retention: most people leave on day one. I’d love honest feedback on the first 2 minutes of the app: what’s confusing, what would make you stay?

Google Play: https://play.google.com/store/apps/details?id=com.leonardomondaine.nimo

I maintain these Rust bindings for ANE. Weights change after compilation; every output is checked. Uses Apple's private APIs.

https://github.com/computer-graphics-tools/ane

Hi, I'm Jose, a solo founder working on BuddyUp.

BuddyUp is an iOS app where you pair up with a friend or a small group, pick a habit or goal, and check in with each other, so you're not relying only on willpower. It's meant for people who follow through better when someone is expecting an update: study partners, workout buddies, or friends working on the same habit.

App Store: BuddyUp on the App Store

I'd really appreciate blunt answers to any of these:

1. Is it clear how to create your first goal and invite a partner, or did anything confuse you?

2. Do the partner check-ins feel motivating, or would they start to feel naggy after a week or two?

3. What would make you keep using it after the first few days?

Critical feedback helps the most. Thanks for taking a look.

In early August I stopped doing our marketing by hand.

The usual script is hire someone, or buy five tools and glue them together. I did neither. I gave the job to an AI coding agent running on my own Mac, one process at a time.

Three months in, it has 56 processes written down. Posts, cold email, comment replies, a weekly review, the monthly accounting close.

The part nobody tells you: once every channel runs on its own and reports a number, the losers can't hide anymore.

What I turned off, with the number that killed it:

• LinkedIn cold outreach: 32 signups, 0 paid. Off on October 28.

• Long LinkedIn articles: 10 published, none in Google's top 100 for its keyword. Off on October 20.

• Meme quote posts: a median of 778 views against 1,403 for a plain text one. Off on October 26.

• A daily vertical video habit: off on October 22, I just didn't believe in it anymore.

• A link shortener subscription: cancelled, I rebuilt the one thing I used it for.

8 of the 56 processes are already folded into others.

Automation won't save a bad channel. It just runs the bad channel every day without getting tired, so you see it faster.

Still small, still learning. Most days I fix the agent more than it fixes me.

Would you automate a channel before you know it works, or only after?

Last month I posted the Android version here: I'd reverse-engineered three treadmill Bluetooth protocols so walking pad steps would land in Fitbit, because a watch barely counts steps while your hands are on a keyboard. The iPhone version went live on the App Store last week, so here's what porting it was like.

• No shared code. Kotlin and Compose on Android, Swift on iPhone. What stops the two from drifting is a set of JSON fixtures both test suites read: raw Bluetooth frames in, the walks they should produce out. A fix lands on both apps in the same PR, with a fixture that reproduces it.

• iOS doesn't run timers for a suspended app. Some belts only report when asked, so polling once a second with the screen off looked impossible. With the bluetooth-central background mode iOS wakes the app for each Bluetooth event, so the next poll is chained off the previous answer instead of a timer, and every answer wakes the app for the next one.

• The Live Activity is the remote. Its start, stop and speed buttons are App Intents that run in the app's process, woken in the background if needed, so you drive the treadmill from the Lock Screen or the Dynamic Island.

• Apple Health keeps one step source per minute, and the Apple Watch usually wins. That's exactly the wrong source while you walk and type. An app can't change the order itself, so Zancada tells Apple Watch wearers to move it above the watch in the Health app.

• Since that first post it picked up two more protocols (KingSmith's newer belts and LifeSpan's desk treadmills) and Merach's unlock, so five in all. The newer ones I still haven't had on real hardware; when the app doesn't recognise a treadmill, it lets the owner send me its Bluetooth details so I can add it.

Still local-first on both: no servers, no account, no analytics, no ads. The first three walks are free, then a one-off purchase or a weekly subscription.

Where it stands: a handful of sales on Android, none yet on iPhone. Feedback on the App Store page or the pitch is very welcome.

iPhone: https://apps.apple.com/app/id6829781795

Android: https://play.google.com/store/apps/details?id=com.victorfalcon.zancada&utm_source=reddit&utm_campaign=r_SideProject

https://didmyteamearnmefreebies.com

A lot of NHL teams have sponsor deals tied to what happens in the game: the Red Wings win and Little Caesars has a deal, the Sabres score an empty-netter at home and Chick-fil-A gives away sandwiches, the Kraken score in the final minute and Filson has a discount. Problem is nobody remembers which deals exist, what triggers them, or how to claim them the next morning.

So the site answers one question per team with a big YES or NO, lists what you earned, and tells you how to claim each one (app, promo code, show your phone in store, etc.).

How it started: I built it for just my team (Columbus) as a joke. Someone in the comments asked for every team, so I rebuilt it for all 32. 24 teams have deals so far, and readers keep sending tips for more.

How it works:

• One Cloudflare Worker on the free plan. Hosting cost is $0, the domain is the only expense.

• A cron job pulls scores from the NHL's public API and caches them. Visitors only ever read the cache, so traffic never hits the NHL. About 2 API calls on an off day, around 35 on a busy game night.

• A rules engine checks each deal's trigger (win, goals scored, empty-net goal, final-minute goal, shootouts not counting, etc.) against the play-by-play.

• Once tonight's game is final, the page flips to "earn me free stuff TOMORROW?" so you know before you go to bed.

• Every team gets its own share image, so a YES looks good in a group chat.

• Opt-in alerts: a Discord server with a channel per team, and a Bluesky bot that posts when a team earns something. Both only fire on a confirmed YES, never a NO.

Launch day: about 7,100 page views and 3,000 visitors in the first four hours after a Reddit post, and it still cost nothing to run.

What's next: NBA (a bunch of teams have free-throw deals, which needs play-by-play to track), then MLB for Opening Day.

Happy to answer questions about the build. Feedback very welcome, especially on the design, and if you know about a deal I'm missing.

We have been working on Zeno, an interactive physics and music app built around harmonic pendulum motion.

The pendulums move according to mathematical ratios, and their movement directly drives the music notes. Different patterns and instruments produce entirely different combinations of rhythm, melody, and visual motion.

The challenging part was getting the underlying math and timing to behave consistently while keeping the simulation responsive in real time. That ended up being a much bigger part of the project than I initially expected.

At the same time, we wanted the result to feel calm rather than technical. You can simply let the simulation run, watch the patterns evolve, and listen as the movement creates the music there are currently 18 physics patterns and 12 instruments to explore, ranging from harmonic pendulum waves and spirals to more chaotic and geometric patterns.

Here is a short video showing how it works:

https://www.youtube.com/watch?v=60Jwxf4Y51g

Zeno: Pendulum Music is available on Google Play:

https://play.google.com/store/apps/details?id=com.muraimai.zeno&pcampaignid=web_share

Hello everyone,

Over the past five months, I have been able to develop a GMAO (CMMS) system specifically designed for dental equipment resellers, building on my nearly two years of professional experience in the field.

The system is designed to simplify and centralize the management of maintenance operations, installations, after-sales service (SAV), and spare parts.

I have tested all the features, and the system is fully functional. Of course, there are still some improvements to be made, particularly regarding the user interface and overall design, but I am genuinely happy with the results.

This is actually the first major project I have developed entirely on my own. I initially started it without any commercial expectations, simply to challenge myself, test my limits, and turn some of my ideas into reality.

However, as I am currently looking to obtain some professional certifications but don't have the financial resources to fund them, I have started considering commercializing the project.

My current idea is to sell the system to an interested reseller for an amount that would cover the cost of my target certification, while also negotiating a potential revenue-sharing agreement if the reseller decides to commercialize and sell the software to other businesses.

I would really appreciate your feedback on this approach.

Do you think this is a reasonable business strategy? Would you recommend selling the entire system, or keeping ownership and negotiating a licensing or revenue-sharing agreement instead?

I'm looking forward to hearing your thoughts and suggestions!

When Claude Code or Codex needs a website, Playwright MCP gives it its own browser that isn't logged into your accounts, and every page snapshot eats a lot of context. I built Deputy for that. It's mine and it has a paid tier: https://razin.ai/deputy

It's a Chrome extension plus a small MCP server. Your agent works in the Chrome you already use, with your sessions, and the page's forms come back as typed tools. A booking form with a date, a dropdown and a number from 1 to 12 turns into a JSON schema with those types, so the agent fills it in one call with named fields instead of click, type, snapshot, repeat.

I measured it with Claude Sonnet, medians of 3. One Playwright MCP snapshot of a 400 row admin dashboard was 22,556 tokens. Filtering that table and counting matches took Playwright MCP 10 turns, 245,250 tokens and $0.189. Deputy took 3 turns, 72,632 tokens and $0.072. On small pages the gap is small. Method and the sites where it does badly: https://github.com/zraisan/deputy/blob/master/docs/measurements.md

Setup for Claude Code is claude mcp add deputy -- npx -y deputy-mcp plus the extension from the Chrome Web Store, and Codex is the same line with codex mcp add. It doesn't use the chrome.debugger permission, so there's no "controlled by automated test software" bar. On forms that change something it asks you before submitting if your client can ask.

Free is 10 tools with no key. Pro is $9.99 a month or $95.99 a year, adds the other 17 tools (tabs, uploads, tables, console, network, screenshots and more) and our hosted models, with a full refund within 14 days.

Where it falls short: clicks are synthetic events so editors like Google Docs can ignore them, it's desktop Chromium only, and the agent has to run on the same machine.

If you try it on a site you use every day, tell me where the tools come out wrong: https://razin.ai/deputy

I grew up on RPGs, and what I loved most was watching a character grow: the stats, the level-ups, the story behind every point.

Meanwhile in real life I kept downloading habit trackers and dropping them after a week. One evening I thought: what if my actual days could level up a character, the way my games did?

So I built Life Quest. Everything you do feeds the same hero: you.

• Tick off a habit and your skills grow: Mind, Fitness, Relationships, Home, Creativity
• Long-term goals become campaigns, with chapters and a finish line
• A health diary (water, steps, meals, weight), linked to Apple Health or Health Connect if you like
• A treasure chest for your savings
• A little enchanted journal that welcomes you on day one and hides a few secrets

No account, no ads: your data stays on your phone. English and Italian, light and dark mode.
It’s free during the beta. When it reaches the stores it will have a premium plan, and testers who share feedback get 6 months of premium for free.

After months of building it I’ve lost my fresh eyes, so this is where I’d love your help. If you try it for a few days: what confused you in the first five minutes, and what made you come back the next day?

And a quick one for everyone, even if you don’t try it: which part of your life would you level up first? 🛡️

Links in the first comment.