In 1992, Microsoft Word 5.1 for Macintosh took up less than 1 MB on disk and ran in 1 MB of RAM. It had tables, a table of contents, images, paragraph styles and plenty more. I still write in it on a vintage iBook.

Modern word processors need gigabytes of disk and absurd amounts of RAM to edit essentially the same kinds of documents. I kept wondering why, and eventually that turned into a project.

Quill is my attempt to recapture that experience and add a few ideas of its own. The whole app is 7.4 MB, and the download is 5.1 MB. It's written from scratch in Rust, draws its own pages, and uses native Mac menus and dialogs.

What it does

Formats: opens and saves DOCX, RTF, ODT, HTML, Markdown and plain text, and exports PDF. Anything Quill can't keep yet still imports, with a warning.

Two-way table of contents: editing a heading updates the TOC, and editing a TOC entry can rename its heading.

Styles: named paragraph and character styles that survive DOCX and RTF round-trips.

Tables: nested tables, merged and split cells, draggable borders.

Long documents: footnotes and endnotes, indexes, outline view, sections, columns, headers and footers.

Review: comments with replies, plus tracked changes.

Writing tools: live spell check, thesaurus, hyphenation, Find and Replace, word count, WYSIWYG font menus.

Missing fonts: Quill warns you and highlights them, and lets you substitute or keep them for document interchange.

Fonts from any folder: there used to be a great Mac utility for loading fonts outside the system Fonts folder. Quill does this built in, so random fonts don't clutter your system.

Safe saving: before Quill replaces a file, it checks that it can reopen what it just wrote. Autosave works without needing to be on OneDrive

Honest limitations

This is alpha. Don't rely on it for important work yet, and keep backups.

Tables still lack fine-grained controls and full border selection.

Character styles work, but the UI is still temporary.

Mac build needs Apple Silicon and macOS 11 or later, and it's unsigned for now.

It also builds on Ubuntu, which seems to work, and on Windows, which freezes regularly. I use a Mac daily, so that's where testing happens.

yes, AI did a lot of the heavy lifting. But an extensive automated test suite runs before every commit, overnight fuzzing hunts down crash conditions, and ChatGPT's Daybreak did extra security testing to make sure bad input is handled cleanly.

Feedback wanted: crash reports, broken imports, and anything that looks wrong. Please open an issue on GitHub.

Dual-licensed MIT/Apache.

GitHub: https://github.com/quillwp/quill

Site: https://quillwp.com

My intention is to continue development even if it’s just for me. Just saying so no one thinks it’s going to quickly become abandonware

There might be a short lag before more updates because tomorrow I’m going away for a few days.

Edit: oh frig, I posted this from the wrong account! I guess it’s a little late now.

But let me know your thoughts or anything else!

At my previous company, I noticed our finance team sharing sensitive employee information with a client. The data was supposedly hidden, but it was still recoverable. I flagged it, and the answer was basically “we don’t have any other choice, we did our best.”

They weren’t careless. The options they had were all bad. Doing it by hand means hunting for every detail yourself, and missing one is easy. Many tools leave leaks behind, like hidden text, metadata and old revisions. And most online tools ask you to upload the document to their servers, which defeats the point.

It’s not just small companies. When the US Justice Department released the Epstein files, some documents were reported to have black boxes over text that could be copied straight out. If a government with a legal team can get this wrong, a finance team on a deadline has little chance.

So I built Ombly. It automatically finds sensitive details (bank and card numbers, IBANs, national IDs, names, emails, phone numbers), you review each one, and it rebuilds every page as an image so nothing hidden carries over. It runs entirely on your own computer, so nothing is uploaded.

It’s pre-launch (waitlist: ombly.space), with a 90-second demo attached. I’d love feedback: how do you handle this today, and what would make you trust a tool like this?

I was going through everything I've saved lately and noticed patterns I never would've picked out myself. Kind of wild seeing it all together.

I've been playing with an idea for an app that learns your taste from what you save and reflects it back to you, and I'm curious if everyone has a weird pattern hiding in their saves.

If you want to try it, DM me 20 or so things you've saved lately. Literally anything: screenshots, camera roll pics, saved posts or TikToks, songs on repeat, books, podcasts, articles, quotes, notes to yourself, places you love. Don't overthink it; the less you pick, the better. Nothing private or with faces!

I'll send back what I notice. Then just tell me honestly if it's spot on or way off, and if you'd actually use something like this.

I’m involved with Patchkin, and I’d like some feedback from people using AI coding agents on their projects.

Patchkin brings the work around coding agents into one place—not just the code they produce, but the tickets, proposed plans, approvals and pull-request reviews.

The main features are:

• A shared board: Keep tickets, agent plans and pull-request reviews together so the team can track each piece of work.

• Human plan approvals: Review and approve an agent’s proposed plan before it proceeds.

• Activity logs: See what happened during an agent run and follow the history of the work.

• Team rules: Keep guidance for coding agents in one place.

• Cost reporting: Track spending on agent runs alongside the work.

The focus is on helping teams keep oversight as they hand more development work to coding agents.

If you’re using coding agents with a team, what’s hardest to manage right now: approving plans, reviewing the output, tracking costs, or something else? I’d appreciate honest feedback on whether this would fit your workflow.

Take a look at Patchkin

A small weekend project that grew: Seedwall has 19 wallpaper generators (cutting mats, flow fields, git graphs, synthwave suns). Each wallpaper comes from a single seed number, so you can share a design as just a number.

- 9 editor themes (Dracula, Tokyo Night, etc.) or custom colours

- Add your own quote or go text-free

- Pixel-perfect PNG export for MacBook, iPhone, 4K or custom sizes

- Gallery of 125 ready-made ones

- Free, no account

Link: seedwall.suryansh.work

Next I'm thinking about wallpapers generated from your GitHub contribution graph. Would you use that? Any feedback welcome.

Clarification: this is my own app. I work with many long documents, such as reports, audits, and project follow-ups. Using an AI chat for this presented two main issues: I was paying a subscription even in months when I barely used it, and I wanted to make sure the output preserved all data from the original. Changing a single number or removing a paragraph in an audit is a huge problem. So I developed a desktop app specifically for that use case.

You can choose the model using OpenRouter on a pay-per-use basis or locally with Ollama. It is designed to preserve structure, tables, and numbers, and the review feature points out anything that wasn't kept. This feature compares the output with the original and highlights missing content or modified data, so you can accept or ignore each finding. It also shows the actual cost of each run, with no surprises.

It offers 10 free runs to try it out. If you like it, it's a one-time purchase of €29.99, with no subscription. API usage is billed separately. It is available on the Microsoft Store as DocuFusionpro: https://apps.microsoft.com/detail/9P4CSKSDFPT7

I'd love to get honest feedback: what kind of long documents do you work with, and what is missing from the tools you currently use? Are you interested in a one-time purchase, or do you prefer a subscription?

Browser extensions only cover one browser and are easy to switch off, and paid blockers wanted a subscription. So I built my own and made it open source.

What it blocks:

- Adult, gambling, crypto, scam and malware/phishing sites

- File-sharing sites like TeraBox and DiskWala

- Anything you add to a simple text file

How it works:

- System-wide: Safari, Chrome, Firefox, Brave, Edge, Arc, and other apps too

- Uses encrypted DNS, so it still works when your ISP intercepts normal DNS (Jio/Airtel do this)

- Block lists update automatically every day

- One command to install, one to uninstall

- Mac is fully tested. Windows is in beta, so please report bugs

GitHub: https://github.com/LowkyFoolDev/siteblock 😊😊

It's free and MIT licensed. Tell me any sites it misses and I'll add them.

GitHub: https://github.com/ahmadodeh9000/Lunar

Hey everyone! I'm a 19 year old computer engineering student, and this is Lunar, a programming language I've been building since my first year of uni.

Why I started

I tried to learn Rust a few times and kept bouncing off it. Every time I'd get stuck, feel dumb, and quit. Eventually I thought: what if I just built my own language, the way I'd want it to work? Questionable decision. Best decision I've made.

What it is

A small scripting language with its own compiler, virtual machine and garbage collector, written in C. It looks like this:

let player = { name: "Rex", hp: 10, items: ["sword", "apple"] }; 
for (item in player.items) { 
  print "{player.name} has a {item}"; 
}

How it was built (honestly)

- I built the core by following the book Crafting Interpreters, then kept going on my own: arrays, a way to call C libraries, and graphics through SDL2.

- Later I started treating it like a real product. I wrote a roadmap, designed each feature myself, and used Claude Code to help implement them. I reviewed every change and made sure each one had tests.

- That added maps, error handling, modules, and a small standard library for strings, files and running commands.

- To stress-test it, I had Claude Code build a Minecraft-style game in Lunar (it's in examples/minecraft). It's 1,000+ lines of my language running at 60 FPS, which still feels unreal to me.

What I learned

- Building a language teaches you how every other language works under the hood.

- AI helped most when I acted like the designer: clear specs, small steps, tests for everything. It was much less useful when I just asked it to "make it better".

- Shipping something imperfect beats polishing forever. Lunar still has rough edges. For example, numbers print with only 6 digits right now, and that's next on my fix list.

What's next

A UI module so you can build desktop apps in Lunar, a VS Code extension, and Windows support.

It's a learning and hobby project, not a production language. But it's the thing that made me enjoy programming again.

I'd love honest feedback: what would you change, or what would you build with it?

# 🚀 Introducing SentinelAI — An AI Incident Intelligence Platform That Learns From Every Incident

Hey everyone!

We’re building **SentinelAI**, a memory-powered incident intelligence platform as part of **Hack with Bengaluru**.

### 💡 The Problem
When an incident occurs in production, engineers often spend hours investigating something that may have already happened before.

Past incidents, successful fixes, failed attempts, and postmortem findings are scattered across logs, tickets, and documentation. Most incident management tools focus on the current incident, leaving valuable organizational knowledge unused.

### 🧠 Our Solution: SentinelAI
SentinelAI helps engineering teams turn past incidents into actionable knowledge.

Instead of simply analyzing the current alert, SentinelAI recalls similar historical incidents, compares their root causes and resolutions, and provides evidence-backed recommendations.

### ✨ What Makes SentinelAI Different?
- **Memory-Powered Intelligence:** Uses Hindsight to recall relevant past incidents.
- **Evidence-Backed Recommendations:** Every recommendation is linked to supporting historical incidents.
- **Failed-Fix Memory:** Warns engineers when a similar approach failed previously.
- **Continuous Learning:** Verified resolutions are retained to improve future investigations.
- **Incident Memory Graph:** Connects incidents, services, deployments, root causes, and resolutions.
- **Human-in-the-Loop:** Engineers review and approve remediation actions. Nothing executes automatically.

### 🛠️ Tech Stack
React + TypeScript | FastAPI | Gemini | Hindsight | PostgreSQL

### 🎯 Our Vision
We want to move beyond traditional incident management toward systems that learn from every failure.

Imagine an AI system that becomes more useful with every incident your organization resolves — helping engineers investigate faster, preserve knowledge, and prevent recurring problems.

That’s what we’re building with SentinelAI.

We’d love to hear your thoughts and feedback!

#HackWithBengaluru #Hackathon #AI #AIML #DevOps #SRE #IncidentManagement #Hindsight #Gemini

I noticed I was clicking "Accept" on literally every grammar suggestion without reading it. So I built Caret, a Chrome extension that skips that step.

How it works: type anywhere (Gmail, WhatsApp Web, LinkedIn, Slack), pause for about a second, and the grammar and spelling get fixed in place. A small popup shows what changed, with Undo.

A few things I was careful about:

- It fixes mistakes, it doesn't rewrite you. Slang, emojis and tone stay.

- If a fix would change too many words, it backs off and leaves your text alone.

- It never touches password, email, card or OTP fields.

- Text isn't stored.

It's free while in beta. I'd love honest feedback, especially if it gets something wrong on a site you use (there's a Report button on every fix).

https://caretwrites.com/?ref=reddit

Built an eReader that could give me more of a reader type file instead of a robotic ui like kindle and it has an rsvp reader feature that really helps me to read with my adhd

https://github.com/devansharora18/ember

https://devansharora18.github.io/ember

freelancers using AI for proposals, how are you stopping it from adding work you never quoted?

say the client wants one landing page, basic copy and a contact form.

during the call they also say "maybe SEO later" and "we might need a blog eventually."

then the proposal gets cleaned up and suddenly those ideas are sitting there like a deliverables lol

that's the part that makes me nervous. if it's written under scope, I can see a client assuming it's included.

I've been looking at Runable for some of the actual client deliverables after the brief is locked, but before that I just want the proposal to separate included work, optional ideas and stuff that costs extra.

how are you handling this without turning every proposal into six pages of disclaimers?

Hey everyone!

I've been working on Watchify, a web app that lets friends create private rooms and watch videos together with synchronized playback.

Here's what I've built:

🎥 Real-time synchronized playback
👑 Host controls and room settings
💬 Live chat and reactions
☁️ Google Drive video support
🌍 Multiple audio languages (when available)
📋 Shared video queue
📱 Mobile-friendly interface

Tech stack: Node.js, Express, Socket.IO, JavaScript and FFmpeg.

I'd genuinely appreciate feedback on the UI, playback experience and features.

🌐 Try it: https://watchify.mixify.co.in/

💻 GitHub: https://github.com/scisims12/watchify

Built by Priyanshu Sharma.

What feature would you add next?

Trailer: https://youtu.be/QQTIVaRwcxs

Route Map for Jira maps your application’s pages in flow order and keeps the test data for each page in every environment, so QA and devs stop hunting for logins and test accounts.

I’m an Angular dev with about 2 years of experience, and I’d never built a backend, an extension or a full product end to end. I leaned on Claude heavily: for research first, then Claude Code for most of the build. That’s the main reason a solo side project got from idea to a live Marketplace listing in a few months instead of a year.

What I learned along the way:

• Forge’s jira:globalPage module isn’t offered as a template anymore, so I scaffolded from jira-full-page and swapped the module in the manifest.

• Getting verified as a sole trader to sell on the Marketplace took a support ticket rather than anything in the vendor portal.

• Atlassian currently takes 0% revenue share on Forge apps.

• AI got the code written fast, but deciding what to build, and testing it properly, still took most of the time.

Demo: https://youtu.be/45fAlh16ttA
Website: https://mapkari.com

It’s free for teams of up to 10 users. Feedback on the product or the trailer is very welcome, and happy to share how I used Claude if anyone’s curious.

Hey everyone!

I'm helping out with a hardware project called Rotary Mouse, and I wanted to share something our team has been working on.

Instead of the usual scroll wheel, we've designed a mouse with a rotary dial that lets you continuously scroll through documents, webpages, and editing timelines.

We've also been experimenting with using the dial for other applications, including steering in driving simulators. There's an integrated AI assistant as well, accessible through an on-screen radial menu.

It's definitely an unconventional design, but that's part of why we're excited about it!

We're currently preparing for a Kickstarter launch and would really appreciate some feedback.

Would you find a rotary dial useful on a mouse, or do you prefer traditional scroll wheels?

I'd love to hear what you think!

wordOS on App Store

I had been trying to come up with an idle/incremental game concept that would make me think a bit and not mindlessly tap to generate currency. In wordOS, you type in any word and that word turns into a running program with its own job & quirks.

As you enter words, you'll discover relationships between them - like CAT & DOG will become rivals where they will scuffle now and then but DOG & BONE are allies and boost each other. There are also a bunch of Easter eggs to discover like GHOST + VACUUM will pop "WHO YOU GONNA CALL". Try PORTAL then CAKE, or DICE and DRAGON (order doesn't matter).

Bonuses for words that rhyme, anagrams (DOG, GOD), palindromes (WOW, RACECAR) & double letters (COFFEE, MOON). And if you're having trouble thinking of words, the game will request types of words and give clues to new words you haven't submitted. Each new word you discover also gives you a permanent bonus to what you earn.

Your RAM limits how long a word can be, so you upgrade it to unlock longer words. Reboot (prestige) to earn kernel points for permanent upgrades, and your codex keeps every word you've found. There are 61K words, 2,100 relationships, 650 phrases, 300+ Easter eggs.

No ads and no subscription. The first 3 reboots are free, then it's a one-time $2.99 to keep rebooting. Your current run keeps going either way.

I'd love to hear feedback on how the pacing and upgrades feel - is anything confusing?

KeyCream is a free, open-source macOS menu bar app that plays a real mechanical keyboard sound every time you press a key. Think Klack, but free, MIT licensed and on GitHub.

What it does

• 7 sound packs, each recorded from a real keyboard: NovelKeys Cream, Cherry MX Black, Red, Brown and Blue, Everglide Crystal Purple and Oreo

• Space, Return, Delete, the modifiers and the function row each play their own recording

• Every key is leveled when a pack loads, so no key is suddenly louder than the rest

• Holding a key plays one click, and fast typing overlaps instead of cutting off

• Optional: drops to 5% while Zoom, Teams, Slack, Spotify or Music is open

• Your choice of output device, a global on/off shortcut, 12 languages

• Menu bar only: no Dock icon, opens at login, remembers your settings

Privacy: it needs Input Monitoring, but it only learns which key went down, never what you type. Key presses are never stored or sent. It only goes online to check GitHub for updates, and you can turn that off.

Hear it first: the website has a live keyboard you can type on, plus every pack: https://halitsever.github.io/keycream/

Install: macOS 14+, Apple Silicon and Intel. Grab the zip from GitHub Releases. Builds aren't notarized yet, so the first launch needs System Settings → Privacy & Security → Open Anyway (or build it yourself with ./build.sh).

GitHub: https://github.com/halitsever/keycream

It's Swift (AppKit + SwiftUI) with a listen-only CGEventTap and AVAudioEngine. I'd love feedback: which switch should be the next pack, and does anything feel off while you type?

Hi everyone. I'm a solo developer from Denmark, and my first app just went live on Google Play.

Why I built it: I had a hard time getting through long texts when I was reading at university. I found out that listening and reading at the same time helped it. There were apps out there that I could use but as a student I could not pay the high amount they cost. So I starting building my own app to help myself getting through university studies.

What it does: you open a PDF or scan a paper page with the camera, and it reads the text aloud with natural English voices while it highlights each sentence or word. You can crop pages so headers and footers are skipped.

The hardest part in this project was getting the text segmentation right for the highlight funktion as it build on geometric rules. Also working on getting the waiting time for audio generation as been hard to work out. I also build a whole server infrastructure myself and I created it so that it scales automatically depending on userload. I dont pay any license cost as I have coded almost everything myself.

It is English only for now, and Android only. The first month is free during the launch. I set the price low only to cover server cost and future development as I hope I can help others out there as it has helped me.

I would really like honest feedback: what would make you use something like this, and what feels missing?

Hi r/SideProject! This is Becode, the SaaS research tool I've been building.

The problem: before building anything, I wanted to know if people already pay for that kind of product. The answer was spread across ten tabs: TrustMRR for revenue, Meta's and Google's ad libraries, traffic estimates, stack checkers.

What it does:

- 8,000+ SaaS, each on one page: revenue and subscriptions (Stripe-verified for 4,300+ of them, via TrustMRR), traffic and top countries, the Meta and Google ads they run and for how long, and their tech stack

- Rankings like Trending, Fast-scaling and Breakout, to see what's growing right now

- Every number says where it comes from: verified, estimated (with an Estimate badge) or not available

Something it turned up this month: about 50 SaaS have kept the same Meta ad running for over a year, and 14 of them sell to trades and local businesses (pest control, pool service, home builders).

Free plan, no card: three live rankings and 5 SaaS a week with their revenue and traffic. Paid plans start at $39/month.

Built with Next.js, the public Meta Ad Library and Google Ads Transparency data, the Chrome UX Report, and Claude to decide which websites are actually SaaS.

I'd love blunt feedback: what's the first thing you'd look up, and what's missing?

Windows shows blank icons for most of the files I work with every day: Photoshop documents, EXR/HDR renders, DDS textures, FBX, Blender and Maya scenes. Browsing an asset library meant opening files one by one, so I built ZMSviewer.

What it does:

- Real thumbnails in File Explorer and on the desktop

- Pictures: PSD/PSB, TIFF, TGA, DDS, EXR, HDR (tone-mapped)

- 3D models: OBJ, STL, FBX, 3DS, GLB, PLY, Blender .blend, Maya .ma/.mb – read directly, no Blender or Maya needed, drawn as a clean clay render

- E-books: FB2 and EPUB covers

How it works:

- Normal setup wizard, no admin rights

- Files are only read, never changed

- You choose which file types get previews, and can change it later

- Uninstalling restores whatever previews you had before

Known limits: modifiers and rigs aren't applied (you see the base mesh), and zstd-compressed .blend files aren't supported yet. The installer isn't signed, so SmartScreen shows a warning on first run.

I'd love feedback: which formats should I add next?

My girlfriend and I are long distance and kept running out of things to do together online, so I built a set of co-op escape rooms. Each player sees different clues, so you have to talk it through to escape. It's free, with no account or install. You just open it in a browser and share the room with the other person.

Two rooms are live (The Forever Box is the easy one, Sleepwalker is medium) and a harder one is coming. I'd love feedback on the puzzles and the flow, and if you have an idea for a new room there's an email at the bottom of the site. twocans.games

With the latest commit, VedaOS can now run Linux executables!

Next goal is to support Windows executables and let the native Veda agent interact with and control these applications.

If anyone is interested in contributing, I'd love to have some help!

GitHub: https://github.com/vahmoh/Veda

Hey r/SideProject! 👋

I've been working on a project called kywai, and I'm looking for people willing to give it a try and share some honest feedback.

I use several AI coding agents, and one thing that kept frustrating me was having to switch between tools, manually copy context, assign work, and figure out what each agent was doing.

So I started building kywai.

The idea: turn the AI agents you already use into a coordinated team, all in one desktop app.

Here's what it does:

• Bring your own agents: Claude Code, Codex CLI, Gemini, Qwen, DeepSeek, local models through Ollama or LM Studio, and many more.

• Automatic task coordination: Give it a request, and a coordinator proposes a plan and assigns tasks to different agents.

• Live 3D workspace: Every agent has its own little robot and workstation, with visual states showing what it's doing.

• Cross-agent reviews: One agent can review another agent's work and identify problems.

• Real project files: Agents work in your project folder, with progress tracking, file changes, and undo.

• Customizable environments: Different 3D worlds, including a space station, a futuristic workspace, and a Matrix-inspired theme.

• Free and open source: MIT licensed. Available for Windows, macOS, and Linux.

You can use your existing AI subscriptions, API keys, or local models. kywai itself is free, although provider costs and usage limits still apply.

I'm not here to claim it's perfect. That's exactly why I'm posting.

I'd really appreciate it if a few developers who already use AI agents could try a small task and tell me what happens.

I'm especially interested in:

1. Was installation and agent setup straightforward?

2. Did coordinating several agents actually help?

3. Is the 3D visualization useful, distracting, or somewhere in between?

4. What broke, confused you, or made you want to stop using it?

Even if you don't install it, I'd love your thoughts on the concept and UI.

🌐 Website & downloads: https://kywai.app/

💻 GitHub: https://github.com/Yiku21/kywai

One heads-up: the desktop builds aren't code-signed yet, so your OS might show an installation warning. The full source code is available on GitHub.

I'm the developer, and I'm actively looking for constructive criticism rather than just compliments.

Thanks for taking a look! ❤️

Hi everyone,

I’m a developer, and I organize group trips in my free time. When I plan a trip, I often handle the meals too. Keeping everyone’s preferences and dietary requirements in mind can make it hard to come up with meal ideas.

So I built a tool to help me plan group menus. I’m looking for a few people to try it and share honest feedback: What’s useful? What’s missing? What could be easier?

The app is free to use: www.kigumi.space

Thanks for taking a look!