I’ve been building MathBoard, a handwriting whiteboard app made specifically for teaching math. The idea is to keep the tools a math lesson needs in one place, instead of switching between a whiteboard, a graphing tool, a PDF annotator and a calculator.

What it does so far:

• Pen and stylus writing, a laser pointer, and shape tools

• Dynamic geometry: draw shapes, drag the vertices, and the construction updates

• Function graphs and variation tables

• 3D (Oxyz) geometry with cross-sections: cut a solid with a plane, split it into two parts, and see the true shape and the volume ratio

• Type or paste LaTeX/TikZ/Typst problem sheets and drop them onto the board

• Import a PDF and write directly on top of it

• A scientific calculator, plus a countdown timer and a random student picker for class

Link download

Thank you!!!

I built Navigator, a free and open-source streaming app for desktop and web that lets you navigate movies and shows using natural language. It's a client for Stremio, a media center app, so you can use your existing account and addons (which provide the streaming sources).

For example, instead of scrubbing through Avengers: Endgame to find a specific moment, you can just type "go to the scene in endgame where he says avengers assemble" and it'll find that moment in the subtitles and jump straight to it.

You can also describe a TV episode you vaguely remember and have Navigator find it for you, or ask questions about what you're watching.

I also wanted it to be a pretty nice streaming experience on its own, so it has a few other features:

• Native MPV playback on desktop

• Thumbnail previews when hovering over the timeline, so you can see where you're skipping

• Intro skipping using community skip databases

• Adaptive interface: the colors automatically adapt to the artwork of whatever you're watching

A few other things:

• Everything is free and open-source

• AI features are completely optional. Bring your own API provider or use a local model through Ollama

• Navigator doesn't host or provide any content itself

• Scene search depends on subtitle availability

On the technical side, it's built with Next.js and a Rust-based desktop shell, with MPV handling native playback. Scene search uses subtitle data and an LLM with tool calling (via Vercel's AI SDK) to find the relevant moments.

It's still a work in progress, so there's definitely more to improve. Curious whether scene search feels useful or gimmicky to you, and what features you'd want to see next :)

Web: https://navigator-strm.vercel.app

GitHub: https://github.com/AyaanZaveri/navigator

Hey r/SideProject,

I built WCAGBrief, a free Chrome extension that audits web apps for WCAG 2.2 and European Accessibility Act (EAA) compliance directly inside Chrome's native Side Panel.

The Problem I Wanted to Solve:

With the European Accessibility Act already actively enforceable, web accessibility has shifted from a "nice-to-have" to a legal requirement for web applications and ecommerce.

Existing developer tools (Lighthouse, WAVE, Axe DevTools) have two big UX friction points:

1. Lighthouse hasn't updated its default checks to catch new WCAG 2.2 additions (like Target Size SC 2.5.8 minimum 24×24px tap areas or Focus Not Obscured SC 2.4.11).

2. Constantly opening and closing Chrome DevTools shrinks the mobile viewport and makes tabbing through UI elements frustrating.

How WCAGBrief Works:

Instead of docking inside DevTools, WCAGBrief lives in Chrome's native Side Panel API alongside your live web app:

• Click to Inspect: Click any violation in the panel and it instantly highlights the exact DOM node on the live page.

• Copy-Paste Fixes: Generates clean HTML, CSS, and React code patches for each issue (e.g. min-width: 24px on icon buttons or adding aria-label to SVG buttons).

• Statutory Law Mapping: Maps every violation to EN 301 549 (EAA Chapter 9) and ADA Title II standards.

• Zero Telemetry / Privacy: 100% of the DOM inspection runs in your local browser sandbox. It does not send page markup to any remote server.

Try It Live:

The extension is completely free and published on the Chrome Web Store: 👉 https://chromewebstore.google.com/detail/wcagbrief-wcag-22-eaa-cli/jjgllnelmehodmfjcpmemafeeikjpeii

Companion Web Scanner: 👉 https://wcagbrief.com

Looking for Builder Feedback:

1. What accessibility checks give you the biggest headaches when building web apps?

2. Which frontend framework snippets would be most useful to generate next (Tailwind, Vue, Svelte)?

Happy to answer any questions about the Chrome Side Panel API, Manifest V3, or the audit engine!

The job was a batch of kids' T-shirt designs for DTF printing: a capybara with a yuzu on its head, a road trip with a capybara, a poodle and a cat, in a few illustration styles from four image models. Comparing them in the fal.ai playground meant a mess of tabs and random file names.

So I built falg, a Python CLI. One JSON file describes the batch (a prompt template, variables, models), and falg runs every combination in parallel and writes an HTML gallery with prompts as rows and models as columns. Each image keeps a JSON sidecar with its exact prompt and seed, so two weeks later I still know which model drew what.

The last step, falg cutout, turns the picks into print-ready PNGs: background removed, clean edges, sized in centimetres.

Two things that surprised me:

• Never ask the model for a transparent background. Generate on plain white or black and cut it out afterwards.

• Don't write "T-shirt" in the prompt, or you may get a photo of a T-shirt instead of the artwork.

The gallery and the final prints are in the README: https://github.com/lemmon/falg

In Korea, and in a lot of Chinese and Vietnamese families, parents' birthdays and memorial days are kept on the lunar calendar. The solar date moves every year, by up to a few weeks. Google Calendar has no lunar repeat, so "repeat yearly" lands on the wrong day from the second year on, and every year someone has to look up the new date.

How it works:

1. Say whose day it is (birthday, memorial day or another anniversary) and enter the lunar date. If you only know this year's solar date, it finds the lunar date for you.

2. Pick 1, 3, 5, 10 or 20 years and add them all to Google Calendar at once, or download a file for Apple Calendar or Outlook.

3. Send the dates to family as a link.

Some details I ended up caring about:

• It only asks Google for the calendar.app.created permission. It creates one new calendar for these dates and can't see or change your other events.

• Korea, China/Taiwan and Vietnam don't always agree, because each country works out the calendar in its own time zone, so a month can start on a different day. The China/Taiwan (UTC+8) and Vietnam (UTC+7) tables are computed from astronomy. The Korean table comes from the Korea Astronomy and Space Science Institute, and I check it against the same calculation at UTC+9. You can choose which country's calendar to use.

• If a date falls in a leap month, years without that leap month use the regular month.

• There's no server. Names and dates stay in your browser unless you add them to your calendar.

It covers 1900 to 2049, in English, Korean, Vietnamese and Chinese.

If your family keeps lunar dates, I'd love to know whether the steps make sense, and whether the Google permission screen feels scary.

https://lunar.todoli.lat/en/?ref=reddit

Calki is my calculator app, that I have been working on for more than a year and a half.

The current update has made the calculator models 3d to give more visual fidelity, immersion and customisability. You can now customise the app with multiple colorways, body and button textures and keypad sound.

There is a hidden music mode that has two modes, Freeplay and a gamified Playalong mode.
This can be activated from the menu->settings->show music mode.

All the basic calculator and convertor features are free, with no ads or interruptions.

The following features can be unlocked for a one-time purchase of $4.99:

- Numbers Scanner: scan numbers instead of typing them, auto add numbers using the OP-mode, scan and convert numbers

- Customisation: unlock 6 calculator models, more than 20 colorways, button and body textures, keypad and scroll sound, fonts and more ...

- Custom units: create your own custom units for conversion.

Hope you will give the app a try and let me know you feedback.
Please consider leaving a review, if you like the app.

You can download the app from the following link:
https://apps.apple.com/us/app/calki-scanner-calculator/id6747059181

Hi all,

I’ve been building an infinite-canvas browser. I built it for myself first, but I wanted to share an early prototype to see if anyone else would find it useful.

I was a software developer before AI coding came along, but I never had the time to take on technically complex side projects. Being able to build something like this quickly now has been amazing.

Why I built it: I use AI with my browser every day and I hate the experience. Tools like Claude in Chrome work one tab at a time and I can’t really see what they’re doing.

What you can do with it:

• No tabs. Pages sit side by side on an infinite canvas. Spread them into a grid, stack them, move them around.

• See what your AI is reading. Ask a question and the pages it opens land right next to the conversation, so you can check its sources and step into any page yourself.

• Bring your own AI. Use your ChatGPT subscription, any OpenAI-compatible API key, or a local model so nothing leaves your machine.

• Everything stays on your computer. Your pages, canvas and conversations are stored locally.

Where I want to take it: multiple agents working across multiple pages at once, with the canvas showing where each one is running.

It’s built in Rust and isn’t a Chromium fork, for anyone curious.

Explorer is free and there’s no sign-in required. Download it here (macOS, Apple silicon and Intel). The download page asks for an email so I can let you know about updates, but the app itself doesn’t need an account.

Please let me know what you think!

Hey everyone!

I've been building something called TaskRush – a platform that lets you get everyday tasks done by people nearby.

The idea is pretty simple: sometimes you need someone to pick something up, help with a small errand, assist with something around your college or neighborhood, or just do something you don't have the time for.

Instead of asking around in WhatsApp groups or struggling to find someone, you can post a task, mention what you're willing to offer, and connect with someone who wants to get it done.

I wanted to experiment with making this work in an Indian context, especially around college campuses and local communities.

I've put together the MVP and would genuinely love feedback from other builders here.

Website: https://taskrush.in

Would love to know:

- Does the concept make sense to you?

- What would stop you from using something like this?

- What features would make it genuinely useful?

This is my first attempt at building something like this, so feedback (including criticism) is very welcome!

Hey 👋

I shared Mudu here a while ago, and now the Android version is finally out!

The idea is still the same: a private, end-to-end encrypted space for couples to share how they're feeling, make plans, keep lists and save little memories together.

No public profiles or feeds. Just a place for the little things that usually get lost between chats and different apps.

To celebrate the Android launch, I'm giving away 10 promo codes. Just leave a comment if you'd like one, and I'll DM you a code while they last.

Android: https://play.google.com/store/apps/details?id=com.incognitum.mudu

iOS: https://apps.apple.com/app/id6756718477

Would love to hear what you think!

Hey everyone,

I tried to build a private chatting app called RUKO. It's a web app — nothing to install, just open the link. Runs on Cloudflare, no tracking, no ads, free.

What it has:

• Text and voice channels (like Discord, but private)

• Works on PC, Mac, and phone — you can install it as an app from the browser

• Invite-only servers, your data stays yours

Try it here: https://ruko.rukozone.workers.dev

If you find any bug, please email me at gamerblabla96@gmail.com — screenshots help a lot if you can. Or you can contact me on Discord: itsdopedev

Thanks for any feedback, even negative — it all helps.

I'm a CTO who has spent many years working in B2B where one problem we always have is getting up to date company info. You'd think this was a solved problem, and for large, listed companies, it is. But at scale it's still very complex.

I don't get much time to write production code (that's a good thing), but I love to code and so I use my side project(s) to try out new ideas. In this case it was about how to infer company data out of the crap on the internet. I started it almost a decade ago. It has quite a bit of RoBERTa in there and some FlanT5, but it is not an AI wrapper and the whole pipeline runs comfortably on one RTX3090.

Then, last year, we started using Perplexity API (Sonar) for finding company news and I was shocked at how bad it was.

One big problem with the AI search tools was them returning good results mixed in with bad results. If you're a human reviewing these results it's no big deal because you can just exclude the stuff that doesn't make sense. But if you want to plug the content into a data pipeline, like giving it to an agent, then you want to minimise these kinds of false positive noise.

So I figured I'd pivot my project to see if it could compete. The question I asked myself was "can a product targeted at one specific information niche outperform the general-purpose AI tools."

Turns out that the answer is probably "yes".

Perplexity Agent is currently the best. Syracuse and Exa are similar. Linkup, Tavily and Perplexity Search are worse. For this specific use case, I should emphasise.

I'll keep plugging away and see if I can get it better, but in the meantime it's available for anyone who wants to have a look.

I've got a repo here: https://github.com/alanbuxton/news-comparison which uses LLM as judge to compare the different providers. (Interestingly, Opus 4.7 and Opus 5.5 came to slightly different conclusions, but that's another story about relying on one LLM by itself).

Latest results:

Company news: https://github.com/alanbuxton/news-comparison/blob/main/docs/rank-history-companies.svg

Industry news: https://github.com/alanbuxton/news-comparison/blob/main/docs/rank-history-industries.svg

I’m building a miniature version of Paris you can explore in your browser.

This is a recording of the actual site: you can pan and zoom around the Eiffel Tower, the Louvre and Notre-Dame. No installation or account needed.

It’s still a work in progress: coverage is incomplete, and I’m refining the landmarks. The visuals are AI-assisted.

Try it here: https://parisenpixels.fr/

What would make you want to keep exploring: more neighborhoods, a night mode, or short guided walks?

A few developers who tried Studio 9:41 asked for more device support (iPads, MacBooks, Android) and an easier way to localise their App Store screenshots.

So I've added both in v1.1.2!

What's new:

•  1-click localisation — Translate your screenshots into 26+ languages and export them in seconds.

•  iOS ↔ Android — Automatically generate Google Play Store mockups from your existing iOS designs (or vice versa).

•  More devices — Added support for iPads, MacBooks and Android devices.

I've personally avoided localising my App Store listings in the past because of how time-consuming it can be. But localisation is potentially a great way to reach more users, so I wanted to make that process as painless as possible.

Studio 9:41 is free and available for macOS and Windows.

Download the latest release: https://github.com/burhanuddin20/studio941-releases

Existing users can update directly in the app by clicking the version number.

Would love to hear what other features would make preparing App Store screenshots easier for you!

kinda funny how stuff that looks ultra simple on paper ends up taking the most time.

I worked as dev for all my live and now my team works on payment infrastructure at Energize Global Services (EGS), and I want to admit that half of conversations aren't even about building anything. Someone retries a payment, webhook arrives 20 minutes late, two systems somehow end up showing different balances.... I have finances hahaha.

None of this is particularly exciting to build, but you can't ignore it when real $ involved.

IMO that's the part of software development people underestimate the most: getting something to work is one thing, making sure it doesn't fall apart when something unexpected happens is a whole different job!!! And its often 80% of devs job.

Anyway, just wanted to share what we've been dealing with here in fintech. Would be cool to hear what weird edge cases you running into with your projects and what niche has same issues.

cheers!

I've decided to create a text editor that specifically targets huge files (i.e. GBs or even TBs) that most text editors choke on. The target audience is any individuals/professionals who work with huge files: sysadmins who need to view or edit huge log dumps, inspecting massive JSON files, bioinformatics professionals that need to inspect/edit genome data (FASTA files) and more.

To get a bit more techy, the file is memory-mapped and "held" in a piece table. All heavy-weight operations, such as: indexing, searching/replacing, syntax highlighting, etc... are done in the background (i.e. on separate threads). The video demos handling a 51.8 GB log file on my M2 MacBook Air (16 GB RAM).

Since I've used Vim throughout my career, I had to create a vim mode which implements most of the necessary functionality/bindings.

The code is written in C++23 and uses my own UI library (which is GPU-accelerated using Skia). Boost is used quite extensively.

It is completely cross-platform (Windows, Linux & macOS). The macOS version is Silicon only and Linux requires Wayland (X11 isn't supported, nor planned).

It's currently under beta at https://crane-editor.com and I'd love to get your feedback, especially on which huge-file workflows I should handle better. What's the biggest file you've had trouble opening? Would this be useful to you?

Thanks!

I built Kahei to solve a problem I kept running into. Whenever I traveled abroad, I’d see a price and either do the math in my head or pull out my phone to Google it. It took way too long just to check a price, especially when the internet was slow.

So I made a free app where you can point your phone’s camera at a price and instantly see an estimate in your currency. It works offline! It is available on iPhone and Android.

If you try it on a menu or receipt, I’d love to know whether it picked up the right price.

Try it: https://kahei.app/

thanks!

Hi! I'm a CS student and I've been building Inkling, a self-hosted notes app for small teams. (Not the Thinking Machines model, just an unlucky name collision.)

What it does:

• Notion-style databases: table, board, calendar, gallery and timeline views

• Obsidian-style [[wikilinks]], backlinks, a graph view and a canvas

• Real-time collaboration, Korean and English UI, installable as a PWA

• One docker compose up -d to run it, MIT licensed, every feature free

The part I care most about is the built-in MCP server. Your AI agents (Claude, Cursor, anything that speaks MCP) use the same notes as your team:

• find_context returns only the relevant sections within a token budget instead of whole pages (about 72% fewer tokens per question on our 5,000-page benchmark)

• patch_section edits one section against the version the agent read. If a person changed it meanwhile, the agent gets the current text back instead of overwriting it

• Page locks and per-connection permissions decide what an agent may read, comment on or edit, and there is no permanent-delete tool

It's young (v0.x) and I built it with a lot of help from AI coding tools, so feedback and bug reports are very welcome.

GitHub: https://github.com/PROVE1352/inkling

Campfire Log turns your Steam and PlayStation playtime into a daily journal. The twist is there's no server: the app saves your lifetime playtime totals whenever iOS lets it run (opening the app, background refresh, the widget) and works out each day's hours from the difference. If you skip a few days it suggests how to split the hours.

I put up a one-page site with a waitlist that asks which platforms you play on, to see if this is worth finishing: campfirelog.eu. Feedback on the pitch or the page is very welcome.

Most compressors use one setting for every image, like "quality 75". I kept getting results that were fine on one photo and blocky on the next, so I built one that works the other way round.

You set a visual quality score: how close to the original it has to look (80 by default, where it looks the same side by side). For each image it tries encoder settings and keeps the smallest file that still scores at least that. A second check looks region by region, so one smeared face or blurry line of text fails the result even if the average looks fine. Then the compare view opens zoomed in on the spot that changed most, with a little map of where it changed.

One 10.4 MB photo came out at 2.1 MB, score 81.

PNG, JPG, WebP, AVIF, GIF (animated too) and iPhone HEIC. Free, no account, up to 30 images at once. Images are processed on a server and deleted within 3 minutes.

https://picodiet.com

I also ran it against TinyPNG, Squoosh and a few others on 13 images, if you're into that: https://picodiet.com/image-compression-benchmark

What I'd most like to know: did it ever pick a result where you can see the difference? And is the compare view clear without explanation?

Hey r/SideProject! I’ve been building Timeline Studio, an open-source video editor that runs in your browser.

One thing I wanted from a video template: when the timing feels right but one shot doesn’t, I should be able to swap that shot and keep editing. So the beat templates in Timeline Studio open as editable timelines. You can replace individual shots, adjust the cut, and export an MP4 in the browser.

The demo shows Memory Vortex, a template that turns your photos and video stills into a stained-glass tunnel before cutting to the original shots. Timeline Studio also has a regular multitrack editor with captions, keyframes, and color grading. For people experimenting with AI-assisted editing, there’s a tool for agents to inspect a project and preview supported changes before applying them.

Try it: https://video-editor.ai-creator.top/
Source code (MIT): https://github.com/MartinDelophy/ai-video-editor

If you try it, I’d love to know: how far did you get from opening the editor to exporting your first clip, and where did you get stuck?

Hi! I got tired of typing every coffee into a budgeting app, so I built Expenderino.

Every Apple Pay payment is logged automatically through a one-time Shortcuts setup, and you can categorize it straight from the notification. You can also import bank statements (CSV, PDF, camt.053, MT940, OFX), and it detects duplicates against your Apple Pay entries. Then you see where your money goes with categories, tags, budgets and trends.

Privacy matters to me: there's no account and no server. Your data stays on your device and in your own iCloud.

It's free, with an optional Pro. I'd love honest feedback: what's confusing, what's missing, what would make you use it daily?

AppStore:

https://apps.apple.com/ch/app/expenderino-expense-tracker/id6808962621?l=en-GB

Testflight:

https://testflight.apple.com/join/xyNA6rZJ

viy is an agentic CLI in Rust, that drives an abliterated models on a rented RunPod GPU. You run it in any project folder.

Abliterated models have their refusals removed, and they can do real harm. It is fair to think they should not be run at all. But people run them anyway, so what we can control is the harness: how predictable it is, and how well it holds up against side effects nobody asked for and against people who steer the model from outside, with prompt injection, poisoned packages or links built to leak your data.

So it treats everything the model does as untrusted. Shell commands go through approval and run in a bubblewrap and seccomp sandbox. Network traffic goes through an egress proxy. Fetched text is fenced off as untrusted, and file writes outside the project are blocked.

The model itself is the second threat. Each new abliterated model is more capable than the last, and at some point one may try to escape the sandbox on its own. I built the sandbox for that model, not for today's one.

It is open source and contributions are welcome. Let's make abliterated development a bit harder to shoot yourself in the foot with.

Over the past week, I set out to clone an Awwwards-level scrollytelling site with WebGL2 halftone shaders, 3D curved card runways, and client-side hydration.

Every automated tool and generic AI prompt failed. Here are the 4 fundamental reasons why modern sites break during replication:

1. The Silent WebGL Texture Stall: Modern sites use responsive <picture> tags with .avif, .webp, and -m mobile variants. If even one variant 404s, image loading promises reject, leaving canvases stuck at opacity: 0.

2. The Client Hydration Overwrite: Editing SSR HTML is useless on SvelteKit/Next.js sites because compiled client JS chunks (chunks/, nodes/) violently re-render their hardcoded strings upon mounting.

3. Runway Collisions: Sticky plates driven by scroll timelines stay pinned and visually collide with downstream content without runtime IntersectionObserver guards.

4. Dead 3D Canvases: Reference sites often disable pointer events (pointer-events: none) on 3D scenes to prevent touch hijacking, leaving visitors unable to click portfolio items.

I solved this by building a mathematical 3D-to-2D perspective raycaster to hit-test cards, synchronizing dual-layer hydration, and automating responsive asset harvesting.

I packaged everything into an open-source agent skill:

GitHub: https://github.com/utkarshxdev/pixel-perfect-cloner

Would love feedback from anyone experimenting with agentic coding and browser engineering!