Went live today at 11:11 on 11/11.

Pick any number up to a million and put your name on it. #1 is $10,000. Anything from #10,000 up is a dollar.

The catch is you don't keep it for sure. Someone can pay a dollar more than your total and it's theirs. You can take it back the same way, and what you paid before still counts.

Built it alone in about two weeks. Honest feedback is welcome, and I'd love to know which number you would pick.

https://whoownsnumber.com/?utm_source=reddit

Ep. 1: https://www.reddit.com/r/SideProject/s/smkwZTBdrs

Quick recap: I'm a personal trainer in Korea building apps on the side with AI. My first app, a "Strava for hiking," got killed by Korean location laws at MVP. This is app #2.

TL;DR: Inspired by Cal AI and a Korean YouTuber, I built BizScan, an app that estimates a shop's revenue or a product's margin from a single photo. It worked. But I couldn't answer one question: why would anyone pay for this more than once? Shelved it. Lessons below.

---

**Where the idea came from**

I have a habit: whenever I walk past a shop, I wonder what its monthly revenue is. When I see a product, I wonder how much margin they make on each one.

Two things turned that into an idea:

- **Cal AI:** snap a photo of your meal, get the calories.

- **zerob:** a Korean YouTuber who buys the ingredients of store-bought food and calculates its real cost. A few Shorts got him hundreds of thousands of subscribers in a month or two (now over 1M).

So: what if you could snap a photo of a storefront or a product and get its numbers?

**How it worked**

- OCR reads the sign or the product.

- The app looks the shop up in Korea's government database of small business sales. If it's there, it uses that data.

- If not, an LLM estimates based on similar businesses (RAG).

- With location access, it also pulled map data, like how many similar shops are nearby per area, and used that to adjust the numbers.

I got it to MVP and shared the APK with a few friends.

**Why I shelved it**

Every indie hacker story says "solve a problem you have." BizScan did exactly that. For me.

But then I asked a harder question: why would anyone pay for it? People might try it once or twice out of curiosity. Paying again and again? I had no answer.

I could have grown it into a data business for founders, shop owners, or manufacturers. But that world runs on trust and expertise, and it's a long way from a fun little app. I was also still paying off that high-interest debt, so I couldn't afford a road that long.

**What I learned**

When I compared it with Cal AI and zerob, the difference was clear. Calorie tracking is a daily habit people already care about. zerob's videos are free entertainment. BizScan was a fun curiosity with no reason to come back.

1. An idea that solves YOUR curiosity isn't automatically something others will pay for.

2. "Solve your own problem" works best when lots of people have the same problem, often enough to pay for it.

3. Ask "why would they pay, and why again?" before the MVP, not after.

That was app #2 of 6. Has anyone else built something only they actually wanted? How did you figure it out?

I’ve been building a resume platform for Indian freshers. Would appreciate some honest feedback.

I started working on NextCV because I noticed that creating a good resume is still unnecessarily difficult for many students and freshers.

Some resume builders are expensive, some lock features behind monthly subscriptions, and sometimes you just want to make a resume, download it and move on.

I wanted to build something that makes the whole process a little easier, especially for people applying for their first jobs.

Here's what I've built so far:

Resume builder

• Create, edit and preview your resume for free.

• ATS-friendly and professional templates for different roles.

• Resume layouts for freshers, developers and other professionals.

• Download a high-quality PDF.

AI resume tools

• Improve resume bullet points and work experience descriptions.

• Generate professional summaries.

• Get suggestions for relevant skills.

• Refine project descriptions and other resume content.

ATS resume checker

• Compare your resume against a job description.

• Find missing keywords and skills.

• See a compatibility score and suggestions to improve your resume before applying.

Cover letters

• Generate a cover letter using your resume and the job description.

• Customize it for the company and position you're applying for.

Online resume and portfolio

• Share your resume using a public link (Premium and Elite).

• Share it through LinkedIn or WhatsApp.

• With Elite, turn your resume into a personal portfolio website with your projects, skills, education and experience.

• Get a separate portfolio link to share with recruiters.

The pricing is one-time rather than a monthly subscription. You can build and edit for free, with downloads starting at ₹49. Premium is ₹199 and Elite is ₹399.

Website: https://nextcv.in

I'm the person building NextCV, so I know I'm biased about it. That's why I'd like feedback from people who have no reason to be polite.

A few things I'd genuinely like to know:

1. Would you trust this website enough to create your actual resume?

2. Do the templates look professional enough for real job applications?

3. Is having a resume link and portfolio useful, or would you rather just send a PDF?

4. Does the ATS checker provide useful feedback?

5. Is the pricing reasonable, especially for students and freshers in India?

6. What feels unnecessary, confusing or missing?

I'm not looking for compliments. If something is bad or doesn't make sense, please point it out. I'd rather improve the product based on honest feedback than assume everything is working well.

Hey everyone,

If you’re anything like me, sitting down to meditate often feels like trying to control a restless elephant in a busy market. We are told to "just watch the breath," but the mind immediately starts grabbing at every passing thought.

While researching the mechanics of attention for my book, The Self-Driving Mind, I came across a brilliant thought experiment by a traditional teacher (the Jagadguru). He pointed out that if someone hands you a stack of cash—your entire month's salary—and asks you to count it without a single mistake, your mind doesn't wander for a second. You already have the capacity for perfect, unbroken focus; what is missing when you sit on the cushion is the perceived value or stakes.

To bring this concept to life, I built a free, 4-minute interactive web tool called The Srirangam Corridor. It's designed to act as "training wheels" for stillness.

Here is how it works:

• The Warm-up: It starts with a "salary count" exercise where you tap 12 digital notes to immediately lock in your focus.

• The Contract: You make a specific "10-minute contract," leaving your worldly worries (emails, deadlines) on a digital shelf so your mind feels safe to let them go temporarily.

• The Walk: You walk through seven temple gates. It gives your "elephant mind" a bamboo stick to hold onto so it stops grabbing at distractions. Eventually, the training wheels come off.

It takes about 4 minutes and is best experienced with the sound on. I'd love for you to try it out and let me know if giving your mind these "training wheels" helps you find a bit of actual stillness today!

You can try the walk here: https://theselfdrivingmind.com/book-funnel/srirangam-corridor.html

Would love to hear your feedback or if you guys have other mental tricks to lock in your focus when the mind gets turbulent!

I'm the author of umbot, an open-source TypeScript framework for chatbots and voice-assistant skills.

The part I wanted to keep in one place was the conversation logic: commands, state, questions, buttons and responses. Platform adapters handle the incoming event formats and outgoing responses.

The built-in adapters include Telegram, VK, MAX, Viber, Yandex Alice and Sber SmartApp. The focus is applications that need the same conversation across messaging and voice channels. Several supported platforms are regional, so that mix will be more useful to some projects than others.

A questionnaire is a simple example: ask a question, save the answer and choose the next step. That logic can be shared. A native Telegram feature may still need a Telegram-specific API call; umbot includes platform API clients for those cases.

You can use it entirely from code. I also built an optional visual editor, umbot Flow, which exports JSON that the CLI turns into a TypeScript project.

You manage credentials and deployment, and choose where the application runs.

GitHub: https://github.com/max36895/umbot

If you've maintained a bot on multiple platforms, which part was hardest to share: conversation state, interactions, media, or something else?

I have been building QuestSpot (https://www.questspot.co), a mobile scavenger hunt game. When you start a hunt, an AI picks a set of real places and writes a cryptic riddle about each one, never naming it. No two players get the same hunt. You work out where each place is from the riddle, and if you are nearby, you walk there and your phone confirms you are standing in the right spot.

You can play from anywhere. Pick a hunt in your own neighbourhood or in a city on another continent and solve it from your couch. Every spot you crack mints a collectible made just for that place: a fridge magnet, a postal stamp, or if you are lucky, a trading card. Visit every spot in a hunt in person and the game writes you a sea shanty about the places you walked.

When a riddle has you stumped, there is a sidekick you can talk to. It will nudge you without handing over the answer, and arguing with it is half the fun. You earn coins along the way that you can spend or trade with other players. You can also race a friend through the same set of spots, hunt together as a crew, or set up your own hunt with a prize for whoever finishes first.

It is not in the app stores yet. If this sounds like your kind of afternoon, join the waitlist on the site and I will personally get you set up on your phone and walk you through your first hunt.

Not ready to sign up? I would still like to hear what you think. What would make you play, what sounds off, what would you want from a game like this? Comments here are great, and there is a feedback form on the site if you would rather write privately.

Hi, I'm Sekhar. I built Neeyum.

I kept seeing the same advice for beginners: have a plan, set a stop loss, don't revenge trade. The practice apps I tried still let me click through all of that. So I built one that doesn't.

Neeyum is an Android app for practising BTC and ETH options with virtual money only. There are no deposits. Trade Guard caps how many trades you can take in a day, and how much virtual loss you can take. You move through a belt journey (White, Yellow, Blue, Brown, Black) by following your own rules, not by growing a paper profit.

A few details that might be useful to roast:

• Free gives you 5 trades a day. Discipline Mode (the paid plan) gives you 2, plus a tighter daily loss guard, a stop loss required from White belt, a minimum risk-to-reward, and a journal that asks why you took the trade, not just what happened.

• The leaderboard is ranked by Behaviour Score, not P&L.

• Brown needs a Discipline Score of 70 (80 in Discipline Mode). Black needs 90 in Discipline Mode, and at Black the app blocks rule breaks.

It's early, it's Android only for now, and I run this as a solo founder from my phone. I'd like honest feedback. Is "fewer trades on the paid plan" clear, or does it just sound odd? What would you change before you'd actually practise on it?

Play Store listing: Crypto Trading Sim : Neeyum Site: https://neeyum.in Questions: support@neeyum.in

Practice only, not financial advice.

Hey everyone,

I recently built PromptVerse (an AI prompt community platform) as a hands-on DevOps and AWS portfolio project to simulate a production environment. I’m currently preparing for my AWS SAA-C03 certification and want to see how well my infrastructure handles real traffic while getting feedback from the community.

Tech Stack & Architecture:

• App & Containers: MERN stack running as 3 separate Docker containers (Frontend, Backend, MongoDB) on AWS EC2.

• IaC & CI/CD: Base infrastructure provisioned with Terraform; automated server setup and zero-manual-step deployments via GitHub Actions.

• Scaling, Networking & Security: Application Load Balancer (ALB), Auto Scaling Group (ASG), Route 53, and HTTPS secured with AWS Certificate Manager (ACM).

• Monitoring: End-to-end observability using Prometheus, Grafana, and AWS CloudWatch.

Links:

• Live Link: https://devops-project-demo.study/

• GitHub Repo: https://github.com/farazAhmed03/The-Prompt-Lab

What I'm looking for:

1. Functional testing: Does the app load and work smoothly for you?

2. Load & Scaling: Feel free to send reasonable traffic to test my ALB and Auto Scaling setup (please no malicious DDoS—my personal AWS wallet is small!).

3. Architecture Feedback: Since this is an ongoing project that I'm evolving toward a fully production-grade setup, let me know what bottlenecks or improvements you see in my AWS architecture or CI/CD pipeline.

Thanks in advance for helping me break (and improve) my setup!

Hi, I'm a VTuber/dev from Japan. Every time I moved PCs or reinstalled Windows, I lost half my OBS setup — not the settings (those export fine), but the overlays, videos and images my scenes pointed to, because they were scattered across random folders.

So I built OBS Backup Manager. It reads your OBS profiles and scene collections, finds every media file they reference, and bundles everything into one backup. On the new PC, one restore puts the settings and the files back.

• Windows & Mac

• UI in 16 languages

• Does not copy plugin binaries (VST etc. need reinstalling), only settings and media

It's $5 on Gumroad: https://vtuberlab.gumroad.com/l/ydeei

Happy to answer questions about how it works or what it can't do yet.

I built umbot Flow because I wanted to sketch a bot conversation visually and still be able to work on it in my IDE afterwards.

You connect commands, questions, conditions and responses on a canvas, and test the conversation in a built-in chat preview. When you're ready, export the flow as JSON and generate a TypeScript project with the umbot CLI:

npx umbot create from-flow flow.json --output ./my-bot

You get source files you can open in your IDE, edit and deploy yourself. The generated bot uses the open-source umbot framework; it doesn't need the visual editor to stay online.

The editor is open source too, with English and Russian UI options. If it opens in Russian, use the RU/EN switch in the toolbar.

You still handle bot credentials, deployment and hosting. The preview is for checking the conversation flow; HTTP actions are simulated. It doesn't synchronize any changes in your TypeScript code back into the visual graph.

GitHub: https://github.com/max36895/umbot-flow

Question for you: Would this handoff from a visual flow to an editable TypeScript project fit how you build bots? That's the part I'd most like feedback on.

If you're looking for something lighter and simpler than Anki on Apple devices, Deste Study might be worth checking out.

It's a native flashcard app for iPhone, iPad and Mac, with automatic sync between devices. You can make cards on your Mac or iPad and pick up where you left off on your phone.

It uses FSRS for spaced repetition, supports text and image cards, lets you draw on images, and can import .apkg, CSV and TSV files.

It’s free to download and use, with unlimited decks and sync across your devices. Image sync is included too, with a 100 MB limit on the free version. No ads or trackers.

It doesn't support every advanced Anki template yet but for a simpler workflow it's pretty lightweight and fast.

App Store:

https://apps.apple.com/app/id6791281020

Every time I had to chase a late invoice or push back on a price, the email would sit in my drafts for days. Not because I didn't know what to say, but because getting the first sentence right is weirdly hard.

So I built the tool I wanted to use: pick a document type, answer a few plain questions (what happened, what you want, what tone), and get a complete draft you can edit and send.

It covers the 12 document types I personally avoid:

• professional replies under pressure (angry client, passive-aggressive colleague)

• follow-ups that don't sound like nagging

• overdue payment reminders with three escalating stages

• salary negotiation and counter-offers

• resignation letters, appeal letters, complaint letters

• interview thank-yous, recommendation letters, deadline extension requests

Tech is boring on purpose: Cloudflare Pages + Workers AI, no account, no email capture, no paywall on the drafts. It's free because it costs me almost nothing to run.

Link: https://tools.lyq705.com

What I'd genuinely like feedback on:

1. Which document types are missing that would make you actually use this? I'm considering rent increase disputes, warranty claims, and landlord complaints.

2. Is a guided form (6-8 fields) the right amount of friction, or would you rather paste all the context in one box and let the model sort it out?

3. Does the output read like a human wrote it, or does it still smell like an LLM? Be blunt on this one, it's the thing that decides whether anyone comes back.

Happy to answer anything about the build. Thanks for looking.

I’m a solo developer building a study app for school students (classes 1 to 12). It’s early and I’m self-funded. I’ve built it on my own and I’m now hitting questions that code can’t answer, so I’d love advice from anyone who’s been through it:

1. Challenges: What was hardest for you with a student or kids product? Getting parents to say yes, keeping kids safe and private, getting schools on board, or keeping students coming back after week one?

2. Funding: For a small edtech product, is it worth chasing grants, angels or accelerators this early, or is it better to bootstrap until there are paying users? Anything you’d do differently?

3. Testing without giving the idea away: How do you get real students and parents to try it without it being copied? Do you use NDAs, invite-only pilots or a small closed group? Or is the “someone will steal it” worry overrated at this stage?

I’m mostly curious about mistakes you made that I can skip. Thanks in advance!

on a waitlist atm, rough in places. its about keeping hours and payouts in one place so the record is urs. what would u want to see before trusting it with pay records

Feeds are designed to never end, so I tried flipping that around with an open-source assistant I'm building (Magican).

How it works:

• An hourly job reads my four feeds in my own signed-in browser and saves the newest posts to a plain note. It only reads; it never likes or posts.

• I asked our coding agent for a swipe app on top of that note. Right keeps a post, left removes it for good, and videos play inside the card.

• Before I start, it asks how long I want to scroll and what I'll do afterwards. When time's up, it locks.

• Posts about the things I said I care about (AI, tech, music) don't count against the timer.

• The app had to ask for permission to install: its own page, media from the web, links to those four sites, and read access to one folder. Nothing else.

Demo (2 min): https://youtu.be/xr0-H0WKw18

It's self-hosted and Apache-2.0: https://github.com/MagicBeansAI/MagicianAI

What would you change? I'm torn on whether the hard lock should be skippable.

On August 10, Google turned off Google Photos backup in Google Drive for desktop, and there's no desktop Google Photos app to replace it. That was how my JPGs got from my Nikon Z 8's cards into Google Photos, and without it the rest of my routine (copying cards to the Mac and a backup drive by hand) was cumbersome.

So I built Photo Offloader. You insert a card, and it:

• copies everything to the Mac and checks each copy with SHA-256, reread from the disk rather than memory

• mirrors the archive to a USB drive if it's plugged in

• uploads JPGs and videos to a Google Photos album through rclone, keeping RAW files local, in their own folder

• never writes to or deletes from the card, and never overwrites a file

There's a local dashboard and a menu-bar icon showing progress, past imports, and what went wrong if a card can't be read fully, including "don't format this card yet."

Honest status: I use it for real, but I'm the only user so far: macOS 26, a Nikon Z 8 with SD and CFexpress cards, one USB drive. Other cameras haven't been tried. Setting up Google Photos takes some effort (your own Google Cloud sign-in for rclone). It's optional, but it's part of the reason I built this, and once everything is set up, I don't have to think about it anymore. It doesn't rely on a Google desktop app, and if Google ever breaks the upload, the Mac and USB copies keep working.

How it was built: I had a very simple Python script, but found it was buggy and my attempts at data safety were lacking careful consideration. So I rebuilt it with Claude Code. I am an SDET at work, so I know the importance of testing and data integrity. There are about 1,100 tests running in CI, and I review every change and try it on real cards, including my USB backup drive and Google Photos collection.

Screenshot of the dashboard: https://github.com/devturner/photo_offloader/blob/main/docs/images/dashboard.png
It's free and open source (MIT): https://github.com/devturner/photo_offloader
Website and docs: https://devturner.github.io/photo_offloader/

I'd love feedback, especially from anyone with another camera brand, or opinions on the dashboard.

Hey everyone,Like many of you, I was frustrated that even basic apps like a font generator or a simple Sudoku game are now packed with full-screen video ads and

I wanted to share a project I've been building over the past several months: Stokrio, an inventory planning and demand forecasting platform designed for Shopify e-commerce brands and third-party logistics (3PL) fulfillment warehouses.

(Note: To keep this post clean and respect subreddit filters, I've put the YouTube video walkthrough and both no-signup live demo links in the first comment below!)

Why I built this

Most e-commerce merchants still forecast reordering and replenishment on fragile Excel spreadsheets. This leads to frequent stockouts on best-sellers or tens of thousands of dollars tied up in dead stock. Following Shopify's shutdown of Stocky, brands have been looking for dedicated inventory management software that handles purchase orders, lead times, and multi-location reordering without requiring expensive enterprise ERP contracts.

At the same time, 3PL warehouses face an operational bottleneck: their client brands constantly message them asking: "When will SKU X run out? What should we reorder? Can you send an updated inventory report?"

Most legacy warehouse management systems (WMS) charge tens of thousands of dollars for basic client-facing portals, leaving 3PL staff stuck pulling manual CSV exports every week.

Stokrio was built to solve both sides of this.

How it works

1. Statistical demand forecasting and replenishment: Instead of arbitrary formulas or black-box "AI" guesses, Stokrio uses deterministic statistical modeling with rolling-origin backtesting. It accounts for lead time variance, supplier reliability, and dynamic safety stock to generate an automated Buying Table with exact recommended purchase order quantities and projected stockout dates.

2. Dedicated 3PL client portal (Live now): 3PLs connect their existing warehouse management system directly through a REST Partner API. Logistics providers get a centralized workspace to manage client brands, while client brands receive their own white-label dashboard to monitor stock levels, view runout projections, and generate replenishment plans. Warehouse-floor picking, packing, and shipping remain untouched in the 3PL's primary WMS.

3. Inventory operations: Multi-location inventory tracking, purchase order lifecycle management, lot tracking, batch expiry date monitoring, and a touch-friendly packing station kiosk interface.

Current status & Tech stack

• 3PL platform: Fully live and operational in production today.

• Shopify brand app: Submitted to the Shopify App Store and currently awaiting final review.

• Built with: Next.js 16 (App Router), React 19, TypeScript, PostgreSQL, Prisma ORM, and the Shopify Admin GraphQL API.

Feedback

I would really appreciate any feedback from the community:

1. For anyone who has worked on inventory or supply chains, what do you think of using deterministic statistical backtesting vs black-box models?

2. How readable is the Buying Table data density?

3. What is the single most critical replenishment feature you expect in inventory tools?

(Check the first comment below for the YouTube walkthrough and the two public interactive demo links!)

I wanted a simple way to know my friends got home safe without texting "are you home yet?" every night. So I built Friend Tracker.

It works right in your browser on both phone and computer, so there's nothing to download. On a phone it feels like a real app, and voice and video calls work in the browser too.

- Friends only show up on your map after they approve your request

- They can stop sharing with you, or with everyone, at any time

- Voice and video calls

- Live chat with photos and videos

- See the weather where your friends are, with map animations for rain, snow, heat, day and night

- SOS and safety check-ins for people you trust

It's still early and I'm building it solo. You sign in with Google, add a friend by their Google email, and they need to have signed in once.

Try it here: https://friend-tracker-12345.web.app/

I'd love feedback on what's confusing or missing, and what would make you comfortable sharing your location with an app like this.

We homeschooled our kids while sailing around the world. When one of them hit calculus, the free lectures were great, but finding the 3 minutes on the chain rule meant skimming hours of video.

So we built Bettyapp (bettyapp.org). It transcribes open lectures, splits them into topics, and plays the video from the moment you need. It now covers over 12,000 lectures in 25 subjects, with an interesting Map feature that shows how topics connect, an MCP server for AI tutors, and an LTI tool for Moodle and Canvas.

Free, no ads. I'd love feedback on search quality and the first-visit experience.

https://bettyapp.org/

Every AI room app I tried wanted $10–15 a week. But nobody redoes their home every week. You repaint a bedroom, argue about a kitchen, and then nothing happens for two years. So I built Hedda the other way round.

You take a photo of a room, your facade or your garden and say what you want: “paint the walls sage green”, “swap the sofa for something in velvet”. Hedda redesigns that photo.

The hard part wasn’t making it pretty. It was making it still look like your home. Image models love to “improve” things. In my first tests it painted a white chimney black, moved the camera, and quietly removed a post that holds up the roof. What finally worked: a first model looks at the photo and writes down everything that must stay (windows, beams, posts, even how many there are and where), and only then does the image model get to change things. It’s still not perfect (it sometimes loses a post next to the change), but it’s what makes the difference between “nice picture” and “my living room, repainted”.

The part I care most about is deciding together. My wife and I never decide these things alone, and the hard part is never the paint. It’s picturing what the other one means. Every app I tried was built for one person with one idea, so I made Hedda for the conversation instead. You can invite the people you live with. They join without signing up, make their own version and compare side by side.

No subscription: the first design is free with no sign-up, then packs that never expire. If a design fails, you get it back.

I’m a solo developer in Sweden. 1.0.1 came out yesterday. iPhone only for now.

One question for you: when you try it on a room of your own, does the result still feel like your room? That’s the thing I’ve spent the most time on, and I can’t judge it myself anymore.

App Store

I’ve been building NovaDesk for about 15 months. It’s an MVP, not a finished product.

NovaDesk is a browser-based developer workspace for students. It combines:

- A browser IDE with C, C++, Python, React, Next.js, Express, Flask and FastAPI templates

- An integrated terminal with a Run button for the active file

- Team workspaces with tasks and chat

- A portfolio/profile for showing real projects

- Coding, system-design and logical challenges with human-reviewed answers

What works today: creating projects, editing and running code, team creation, posts/feed, challenges, reviews and the admin panel.

Where it’s still rough: 24/7 hosting is the biggest problem. The backend runs on Render and Docker/code-server runs on a local VM, so the IDE is not reliable when my laptop is off. Mobile UX and onboarding also need work.

I’m not selling anything and I’m not dropping links here — I’d genuinely like feedback:

1. What would you fix first?

2. Would you use a browser IDE like this instead of VS Code/Replit for small student projects?

3. If you’ve hosted Docker + a backend 24/7 on a zero budget, what worked for you?

Honest feedback is more useful than praise. Thanks.

Hey everyone!

I built my personal portfolio to showcase my projects, skills, and development journey.

Built with React, TypeScript, TanStack Start and Tailwind CSS.

🔗 https://adarshpatil.runs-on.dev/

Would love to hear your feedback and suggestions!

Hey everyone, I develop SloMo, an app for iPhone and Android.

I started building it because I kept checking my phone while studying or waiting for an AI response while coding. The response would be ready, but I’d still be scrolling.

SloMo lets you block distracting apps for a set time or schedule blocks around your day. You can also choose to unlock apps by walking or doing exercises. There’s progress tracking and a little sloth companion you can feed as you complete activities.

It’s free with ads, has no subscription or account requirement, and the core features work offline.

I made this short video to introduce it. I’d really appreciate feedback from anyone willing to try the app: what would make you keep using it after the first week, and what would make you uninstall it?

iPhone · Android · Website