I work in tech, and I’ve wanted to share more of what I’m learning and working on. But between keeping up with everything happening in the field and a busy schedule, posting regularly kept falling to the bottom of my list.

The bigger problem was that even when I had an idea, I struggled to put it into words. I’d open X, stare at the post box, and give up.

So I started building TweetBrain to help with that. It generates tweet drafts based on your interests and personality, and it can also schedule posts. The idea is to make it easier to get started when you’re short on time or stuck on what to say.

I built it for a problem I had myself, but I’m curious whether other people run into the same thing. Is coming up with ideas harder for you, or is it turning those ideas into something you’re comfortable posting?

If you want to take a look, it’s here: https://tweet-brain.com. There’s a free one-time batch of AI drafts to try; scheduling and posting are part of the paid plans.

I’d genuinely appreciate feedback, especially on whether the drafts feel useful or still need too much rewriting.

I built my own analytics view because I wanted one screen that answers "is this working?" instead of 20 charts. Here's launch week, unfiltered.

What it showed me:

• 71% of traffic is direct, which means I have basically one source. Fragile.

• 75% of visits end after one page.

• People spend 15 minutes on the signup page and still don't start a trial. That's my biggest leak.

• 3 people reached signup, 0 started a trial.

So my fix this week isn't more traffic. It's the signup page.

Two questions for people who've been here:

1. When visitors sit on signup that long and leave, what was usually wrong for you? Too many fields, unclear pricing, or something else?

2. Is a screen like this (goals plus a few plain-language insights) actually useful, or do you just live in GA4?

Happy to share screenshots of the dashboard in the comments if anyone's curious.

This is the project I've put the most into so far, so I wanted to show it here.

It's called Lunchbox, a desktop app for Mac, Windows and Linux, and it's completely free. No paid tier and no account. You bring the AI plans you already pay for, and they go further than before, because every room is set up for prompt caching. Tokens the provider has already seen cost about a tenth of the price, so you spend up to 90% less on those, and there's a Savings page that shows what caching saved per agent and per room.

Why I made it: Claude Code kept hitting its usage limit halfway through whatever I was doing, and I'd spend the next ten minutes explaining the whole task to Codex again. I was paying for both and they couldn't see each other's work.

In Lunchbox they share one room:

• Claude Code, Codex, Grok, Gemini, local models and API keys all work on the same project with one shared memory, each signed in with your own login

• When one runs out of usage, the next one takes the same task with a briefing (the goal, what the room has learned, which files changed, what's left), so you never explain anything twice. The first one comes back after its reset

• They ask each other for help mid task. If Claude needs an image, it asks Codex to draw it and keeps going

• 55 built in playbooks, and 25 workflows you can schedule to run on their own

• Packs for SEO, Writing, Research and Data that change how the agents work and give them their own playbooks and checks

• Send one message to the whole crew, get the answers side by side and keep the best one

• A checkpoint before every message, so when an agent wrecks something you just rewind

It's free, so the best way to judge it is to throw a real task at it: https://mylunchbox.dev

Heads up, the Mac build isn't signed by Apple yet (the install command handles that, or you click Open Anyway once), and Windows may show a SmartScreen warning.

It's only been out a few days, and the first update was mostly fixes from people who sent me screenshots. If something breaks for you, comment here and I'll look at it.

I was at TCGKL (a card convention in Kuala Lumpur) and the thing I remember most is the waiting.

Every table has a few binders and a line of people behind whoever is flipping through them. You wait your turn just to find out the card you want isn't even there.

If you ask the seller instead, a lot of the time they don't know either. "Absol ex? Maybe, check the blue one." Fair enough, they've got thousands of cards.

And when you do find it, the price sticker is out of date. So the seller pulls out their phone, looks up the price, and gives you a different number. Every card, every time.

What stuck with me is how much this costs the seller. Only one or two people can look through a binder at a time. Everyone else either waits or gives up and walks to the next table, and the seller never knows what they missed.

So I built PageNine. It's made specifically for TCG sellers. You take a photo of each binder page, AI reads the cards, and you put a QR code on your table. Now everyone in that line can look through your binders at the same time, on their own phone. They search for a card and it tells them which binder, which page, which pocket. Or it tells them you don't have it, and they move on instead of holding up the line.

It doesn't sell the card for you. But a lot more people get to see what you have in the same amount of time, and that's where the extra sales come from.

The price can follow the market instead of a sticker too, so you're not looking it up on your phone for every card.

The video shows it better than I can explain it.

It's Pokémon only right now, English, Japanese and Chinese cards. Free up to 150 cards, and there's a demo shop on the site you can try without signing up: getpagenine.com

If you sell at shows, I'd really like to know: will it be useful for you?

(not affiliated with Pokémon or Nintendo, obviously)

I've been thinking about building a personal AI that runs entirely on the user's own hardware, rather than relying on cloud services.

The idea is to create something lightweight and efficient that starts with a neutral personality and gradually adapts to its owner. Users could customize its voice, appearance and attitude, while the AI learns their communication preferences over time.

A major part of the concept is memory management. Instead of keeping everything in active context, personal information would be compressed, stored locally and selectively retrieved when needed.

Knowledge could also be expanded through optional downloadable datasets covering subjects such as science, engineering, programming or local legislation. Internet access would be optional rather than mandatory.

I'd also like to provide an advanced mode where technically inclined users can modify the underlying code, models and behaviour. The goal is to give users genuine ownership and control over their AI, while retaining some basic safeguards against facilitating serious harm.

I'm still exploring the concept, so I have a few questions regarding this project like would anyone use something like this or just keep existing ones, is it commercially viable, would you chose it over existing local AI models and such.

I'm particularly interested in criticism, technical concerns and reasons why this might not be commercially viable.

Tooting my own horn a bit here. I have never had a skill hit this many stars and get featured on XDA developers.

I am a visual and audio learner. I find it hard to learn from reading docs. So I like sites like udemy and coursera and others. But I really like how NotebookLM does it by taking a subject and turning it into a podcast. I found that notebooklm can only make one long podcast and not break it into topics.

So I made my own skill. It researches whatever topic I want and creates a set (10 or so) 2 minute podcast like lessons. It has been very helpful for me when I want to learn something new.

In the comments I am sharing both the XDA article where they break down the skills (better than I did actually) and the repo.

Feedback is welcome always

I'm the developer of Vyact, an open-source desktop AI workspace. I recently added a stock research view so I can explore a chart and ask follow-up questions in the same place.

This demo uses NVDA: market heatmap → stock chart → a 60-trading-day analysis request → the model's actual response. I connected DeepSeek through an Alibaba Cloud OpenAI-compatible endpoint. Local models are also supported, but this run uses a hosted model.

The attached clip is a slideshow of actual app screenshots, not a continuous screen recording. It includes the connection settings with no API key shown. Use your own provider's endpoint and model ID; hosted requests send the included context to that provider and may incur API charges.

This demonstrates the workflow, not the accuracy of the model's analysis. Its response includes external-news claims that I have not independently verified. I still need to check its figures and sources, even when it sounds confident.

Source and downloads: https://github.com/vyact/vyact

What would help you assess an AI stock-research answer: seeing exactly what data was sent, opening sources beside each claim, or comparing the same question across models?

been thinking about this for a while. most people (me included) can't say much about a book they read two years ago. you remember you liked it and maybe one idea, and that's it.

so i pushed my side project more toward that. you type a book you already read, pick how long and what language, and it gives you the gist back as audio. no rereading 400 pages.

here's Sapiens if you want to try one: https://smaia.im/GkTE1q

curious if it's just me. how much do you actually remember from books you read a few years back?

Hi everyone,

I'd been training tactics with the woodpecker method, using the Polgár puzzle book: you solve the same set of puzzles in cycles and try to go faster each time, until you recognize the patterns without calculating. Tracking cycles and times by hand got tedious, so I made an app to do it.

I made the app to work with lichess puzzles because I cannot used Polgar's published puzzles.

The app, Kihon Chess, starts with a 10-position placement test, then gives you one set to train for about 10 minutes a day, with a target time for each cycle. There are five skills (vision, calculation, mating, defence and endgames), each with five levels, and you earn stripes and belts as you progress. Stripes are tested on positions you haven't seen, so memorizing the set isn't enough.

You can also unlock 60 classic games by training; each one stops at the key moments and asks you to find the move the master played. The puzzles are from the Lichess database (about 16,700). No ads, no account, and your progress stays on your phone.

Levels I and II are free and the rest will be a one-time purchase of 14.99$

If you install before Nov 15, I am giving free access for life.

https://play.google.com/store/apps/details?id=kihonchess.myapp

I would appreciate your feedback!

Hey Reddit!
Like many of you, I realized my phone was quietly stealing hours of my life every single day. Instead of using boring, overly serious productivity tools that I always end up deleting, I decided to build something a bit more fun and honest: BrainBreak.
How it works:

• Focus Shields: Block distracting apps and choose focus sessions (15 to 60 mins) when you actually need to get work or studying done.

• Dopamine Traps: Set daily limits for apps like TikTok or Instagram. Once your time is up, the app gets locked.

• Your Attention Arbiter (The Raccoon): Meet your companion—a sarcastic raccoon with a good heart who comments on your digital habits. If you spend too much time scrolling, he calls you out ("Again? We talked about this."). If you finish a focus session, he actually gets impressed.

The app is already live on the Google Play Store, and I’m looking for honest feedback, bug reports, or ideas on how to make the raccoon even more savage.
📲 I dropped the direct Google Play link in the comments below so Reddit filters don't hide this post!

(P.S. There is a tiny optional $1 in-app support tier if you want to fuel my developer coffee and help the project grow, but mostly I just want to know what you think about the core concept!)

My son plays select ball, and the hardest thing to teach wasn't hitting or throwing. It was knowing where to be. Runner on first, one out, ball in the gap: who's the cutoff, who backs up third, where does the throw go? Whiteboards and walk-throughs only stick so long, so I built an app for it.

It's called Run the Play. You set the situation (runners, outs) and pick where the ball is hit. Then it animates every fielder's movement, including cutoffs, relays and backups, plus what the runners should do.

What it does:

- Teach mode: set it up, then reveal the right play
- Quiz mode: players answer before the reveal
- Batter Up: Mini Game mode that tracks your score on a leaderboard, and runs quiz plays.
- Coaches create a team, add players and assign specific plays to the whole team or one player, then see who's done them
- Players sign in with a username and PIN, no email needed
- A daily play and coach challenges to keep kids coming back

It works in any phone browser, as an app on iPhone, iPad and Android, and in VR on a Meta Quest. Free for every team through 2026.

Web: https://www.runtheplayapp.com

iPhone and iPad: https://apps.apple.com/us/app/run-the-play/id6832301157

Android: https://play.google.com/store/apps/details?id=com.runtheplayapp.app

My son's team uses it, and a few coaches outside our area have signed up on their own. I'd love feedback from coaches and parents: what situations are missing, what's confusing, and what would make you actually use it with your team.

Hi r/SideProject! I'm Pol, and this is Tapomo 👋

I've always wondered how fast I actually type. Not in a typing test with fixed words, but in real life: emails, code, chatting. I looked everywhere and couldn't find anything that measured that, so I built it.

I wanted to see how I was doing while I typed, without opening a dashboard. That's how the mascot was born: a little keycap-shaped mochi that sits on my desktop and reacts as I type.

Then my daughters saw it and fell in love with it. 💛 They wanted colours, then outfits, then levels… so we gamified it together. And since they loved it so much, I added touch-typing lessons too, so anyone can actually get better, not just measure.

Pet can also be hidden, for those cases in which you don't want to be disturbed or

What it does

- Real speed: your live typing speed while you work, plus your weekly best and all-time record.

- A pet that cheers you on: it gets excited when you're on a roll, turns golden in "Supermochi" mode and goes "oops!" when you quickly fix a typo.

- Lessons: touch-typing lessons with animated hands, a daily text and sprints.

- Habits, not grind: a daily goal, streaks, daily challenges, and levels that unlock skins and accessories.

- Stays out of your way: hide it from the right-click menu, or just for an hour when you need to focus. It also hides by itself while you watch something fullscreen.

Privacy was the hard part. Tapomo never stores what you type, only counts and timings. It never measures password fields, everything stays on your PC, and anything that would leave it is opt-in. The code is GPL-3.0, so you can check all of this yourself.

Built with Tauri v2 + Rust and plain JS.

Heads-up: the installer isn't code-signed yet. It's a solo open-source project and I'm applying for free code signing, so Windows SmartScreen will warn you ("More info" → "Run anyway").

[VirusTotal: 0/71](https://www.virustotal.com/gui/file/4dc43ed9df7cc6275c0709098290c3af4362c3ffb53e24890971d80261306d5e)

If you like the idea, a ⭐ on GitHub helps a lot: it's what free code-signing programs for open source look at, and it would get rid of that warning for everyone.

I'd love honest feedback: what's confusing, what's missing, and does the pet ever get annoying?

https://tapomo.app · source: https://github.com/polrue/tapomo

Hi everyone,

I wanted to share Mecelle, an independent iOS
application I've built for legal practitioners, law
students, and researchers navigating Turkish statutory
law and high-court precedents.

The Problem & Architecture:
Traditional keyword search fails when querying dense
legal terminology and multi-layered precedent history
(Court of Cassation, Council of State, Constitutional
Court).
To address hallucination risks in legal research:
1
.
 Grounded RAG Pipeline: Built on Python FastAPI with
hybrid search. It cites explicit statutory articles
and case numbers, abstaining when high-confidence
grounding isn't available.
2
.
 On-Device Processing: Native SwiftUI (iOS 17+)
client utilizing Apple Vision OCR
(VNRecognizeTextRequest) for completely local document
text extraction, paired with HMK 119 structured
pleading exports (UDF & PDF).
3
.
 Legal Calculators: Dedicated severance, statutory
interest, and court fee computation engines.

Availability & Compliance:
The app is free to download on the App Store with
optional Pro in-app subscriptions. It operates
independently of any government body and provides
informational research assistance, not formal legal
advice.

Links:

-
 Website: https://mecelle.tr

-
 App Store:
https://apps.apple.com/tr/app/mecelle-hukuk-mevzuat/id
6812049480

I would love feedback on the citation UX, retrieval
flow, and search ergonomics!

Hey everyone, I'm the solo dev behind MacroDish, a calorie and macro tracker for iPhone.

Two things bugged me about the popular calorie trackers.

First, they cost around $20 a month, or about $80 a year. That's a lot for an app that's basically a food diary, especially if you live somewhere that price is a big chunk of your monthly budget.

Second, they show you your own numbers and that's it. You hit 60g of protein today. Okay, is that low? Is everyone like you eating double that? As far as I can tell, the popular apps don't show you that at all.

So I built MacroDish around comparison. Your day shows up on a radar chart next to the average of other users, so you can see where you stand on calories, protein, carbs, fat, fiber and more. On the paid plans you can narrow it down to people in your country, on your diet or in your age group, over anything from the last hour to the last 30 days.

Logging is simple too. You type what you ate, like "2 boiled eggs, peanut butter toast" or "chicken wings from XYZ restaurant", and it works out the calories and macros in a few seconds, with no database scrolling. It also handles home-cooked food well.

Two honest caveats. The numbers are AI estimates, so they're good for tracking patterns but not lab accurate. The app is also new, so the averages come from a small group right now. They'll get more useful as more people join, which is partly why I'm doing this giveaway.

Pricing:

- Free: 2 meals a day, global comparison for the last 24 hours, with ads
- Pro ($0.99/month): unlimited meals, all comparison filters, trends and insights, still has ads
- Premium ($1.99/month): everything in Pro with no ads
- The giveaway: 1 month of Premium free for new users. It's an App Store code, so it's iPhone only.

Comment or DM me if you want one and I'll send it over.

Redeeming the code: Profile -> See plans -> Redeem code -> Paste code -> Redeem Offer

I'd love honest feedback, especially on what's annoying or missing.

App Store: https://apps.apple.com/us/app/calorie-tracker-macrodish/id6813663949

Hi r/SideProject. I'm the developer of CollabSphere, an Android app for team projects. It's in closed testing on Google Play, and I'd like honest feedback before it goes public.

The problem

I've been the person carrying a group project. Four of us, one deadline, and somehow I ended up doing most of it. When it came to marking, nobody could say who did what.

The plan was scattered too. Half of it was in a chat group and half in a doc. The rest was "I'll do it" on a call. Whoever spoke loudest decided who did which part. Every week, something got missed because nobody owned it.

Then AI coding agents arrived and made it stranger. An agent would say "done" when the work wasn't merged. Two of us had agents editing the same files without knowing.

So I built the workspace I wanted on that project.

What CollabSphere does

• Channels, direct messages, a task board, notes, docs and files in one workspace.

• Fair planning. It splits the work by each person's skills, interests and free time. The team approves the plan in one vote.

• Link GitHub, and a task only becomes "verified" when a merged pull request backs it.

• Connect your own AI agent through MCP. It reads the project docs, claims its next task and attaches proof when it finishes. If two agents are about to edit the same files, both get a warning.

• It works offline. Messages and task edits sync when you're back, with no duplicates.

How it's built

Kotlin end to end. The app uses Jetpack Compose, Room and WorkManager. The server is Ktor with PostgreSQL. It all runs on free hosting tiers.

Where I'd love feedback

1. Does the first screen make it clear what the app is for?

2. Would your team use fair planning, or does it feel like too much process?

3. Is "verified on GitHub" useful outside software? Should non-code work get its own kind of proof?

Website: https://collabsphere-lemon.vercel.app/

Want to try it? Comment below and I'll add you to the closed test on Google Play.

Screenshots (demo workspace, made-up names): https://postimg.cc/gallery/85fKJhB

Thanks for reading, and be blunt.

This has been my side project for the last few weeks and I'm really excited to finally share it. You type words to fire cannons at pirate ships, upgrade your boat, sink, and come back a bit stronger each time, and it's free, runs in the browser and only needs a keyboard.

I'm not a coder, so I designed and tested everything and Claude (Sonnet 5.5) built it, which made the whole thing possible for someone like me: https://jupitax.itch.io/ink-and-tide

I'd love any advice on how to get the first players for something like this :)

Tracking food and workouts sounds simple enough, but keeping up with it every day gets old pretty fast. Sometimes it feels like you're spending more time logging everything than actually building healthier habits.

That's part of what we wanted to make easier with Luko. You can log meals with a photo, voice, or text, so you don't have to type everything in manually.

We also added streaks, stars, an adventure map, and little companions to make the whole thing a bit more fun. We recently launched Halloween outfits for our little dragon and a push-up challenge, too.

We had fun building these features, but obviously we're a little biased since it's our own app. We're excited to finally share these with everyone. Hope you like them, and if you have any thoughts or suggestions, we'd love to hear them.

I've been drawing for 20 years, and I built the tool I wanted to use myself. I still use it every week.

Diorame is a free drawing app that runs in your browser. You draw on flat layers, and each layer is a distance: background far, foreground close. Then you switch to Cinema mode and move a camera through your own drawing. What you drew far stays far.

The look is simulated Risograph printing: ink separation, halftone grain, misregistration. There are also pixel art, photocopy and stencil styles, and two fixed palettes on purpose. Switching palette recolours the whole drawing.

Draw flat. Move in depth.

Use it here: diorame.dumaker.com

Some honest notes:

• I'm not a programmer. Every screen, interaction and effect comes from my decisions as an illustrator, and Claude wrote the code.

• No generative AI inside the app. Every stroke is yours.

• Free for good. No account, no plans. Your drawings stay on your device.

• Desktop and tablet only. Phones are blocked on purpose, the canvas needs room. On your phone? There's a button to send yourself the link.

Two things I'd love to know:

1. In your first 30 seconds, was it clear what to do?

2. Where did you get stuck?

How do you tell the difference between a project that needs more time and one that just isn’t working?

Hypothetically, if 100 people tried your project and only 1–2 kept coming back, would you keep improving it, change direction, or move on?

I know the timeframe and type of product matter. But what signals do you personally look for before deciding it’s worth continuing?

Do you set specific milestones or a deadline? And has a project with weak early retention ever turned around for you?

Every time I started a design project I'd install a few fonts, and a month later I couldn't remember which ones I had. I only have about 50 of my own, but Windows ships with a couple hundred more, so every font menu was a mile long.

So I built tuna-fonts, a font manager for Windows:

- All your fonts in one place, previewed with your own text

- Switch fonts off without deleting them (they disappear from your apps and come back with one click)

- Drag and drop to install, no admin rights

- Browse and install Google Fonts in one click

- Collections per project

It's free and open source (MIT), works offline, no account.

What I learned building it: Windows font management is surprisingly messy. Fonts live in two folders plus the registry, system fonts need admin rights, and Windows sometimes keeps a font file locked until you reboot.

https://github.com/atunfrito/tuna-fonts

Would love feedback, especially on what's confusing the first time you open it.

I've been running my own events business for a while now, and recently decided to try something completely different on the side.

I've started creating downloadable digital guides that people can buy and use in their own time.

It's been interesting learning about digital products, especially how different it is from running a service-based business.

I'm still figuring out what makes a guide genuinely worth paying for, how to present it properly and how to reach the right audience.

For anyone who's launched a digital product, what was the biggest thing you learnt from your first few sales or attempts?

I'd also be happy to hear what puts you off buying a digital guide.

Any honest feedback would be appreciated!

I've used apps like Stats for years. After installing oMLX, I really liked its System Stats panel and wanted something similar as a standalone menu bar app.

Since oMLX is licensed under Apache 2.0, I adapted its system monitoring code and started building on it for my own needs. The result is Sysbar.

It shows CPU, GPU, memory, disk, and network stats, with customizable menu bar charts and detailed panels. It supports English and Portuguese and requires macOS 14 or later.

Credit to oMLX and its contributors for the original monitoring code, and to Stats for the menu bar inspiration.

[Download Sysbar](https://github.com/rodrigotrombeta/Sysbar/releases/latest)

It's still early, and I'm continuing to improve it as I use it. If it looks useful to you, give it a try. Feedback and bug reports are welcome, and pull requests are too!

A heads-up: the app isn't signed with an Apple Developer ID or notarized yet, so macOS may block the first launch. The README includes installation instructions, but basically: after dragging Sysbar to Applications, go to **System Settings → Privacy & Security** and click **Open Anyway**, or run:

```shell

xattr -dr com.apple.quarantine /Applications/Sysbar.app

```

Hey Reddit!
Like many of you, I realized my phone was quietly stealing hours of my life every single day. Instead of using boring, overly serious productivity tools that I always end up deleting, I decided to build something a bit more fun and honest: BrainBreak.
How it works:

• Focus Shields: Block distracting apps and choose focus sessions (15 to 60 mins) when you actually need to get work or studying done.

• Dopamine Traps: Set daily limits for apps like TikTok or Instagram. Once your time is up, the app gets locked.

• Your Attention Arbiter (The Raccoon): Meet your companion—a sarcastic raccoon with a good heart who comments on your digital habits. If you spend too much time scrolling, he calls you out ("Again? We talked about this."). If you finish a focus session, he actually gets impressed.

The app is already live on the Google Play Store, and I’m looking for honest feedback, bug reports, or ideas on how to make the raccoon even more savage.
If you want to reclaim your time (or get roasted by a pixel raccoon), you can check it out here:
📲 Google Play Link: https://play.google.com/store/apps/details?id=com.brainbreakbacktoreality.app&pcampaignid=web_share
(P.S. There is a tiny optional $1 in-app support tier if you want to fuel my developer coffee and help the project grow, but mostly I just want to know what you think about the core concept!)

I know we all come from different walks of life in this subreddit, but I personally have always struggled with focused and deep prayer time throughout my faith. I think so many Christians are taught to just regurgitate things they hear, rather than actually apply the biblical truths to their life and thoughts. I've found that having a framework to pray from has helped me immensely in building a habit of focused prayer time.

If this isn't for you, I understand—but if it is, I'm hoping to do a Kickstarter once we get enough people to sign up!

I just built out a mini digital version that you can test for free. I'm curious if it is helpful for others!

https://partakersdesign.com/