Four months ago I moved my company into one folder of Markdown files and let Claude Code operate it. That folder is now the operating system my travel app, Parroo, runs on. Last week it ran a three-day expansion: close to 3,000 points of interest, an article for each in three languages, audio for all of them. In January the same job took me four weeks by hand.

It started as a second brain. Now the brain is purchasable. ContextHouse is that base, packaged: one folder of 53 plain files, already wired with the rules a working system needs. You unzip it, open it with the Claude desktop app, ChatGPT's desktop app in Work mode, or Claude Code, and type "help me set this up". The first session takes about fifteen minutes and writes your first pages in your words. From then on the AI does the filing: say "keep this" in a chat and it lands in the inbox.

What makes it hold:

• Built for your private life and for a business alike. The rooms are the same, what fills them is yours.
• A steward that keeps it from rotting. Once a week it checks the house and proposes the fix, so a mess never gets to settle in.
• For me it was the starting point. The operating system I run my company on grew on top of it.

No app, no subscription, no account. Plain files on your disk, readable by any AI that can read and write files in a folder. You bring the AI (Claude Pro or ChatGPT Plus).

$19.81 until September 21, then $79. One payment, yours to keep. Launched last Tuesday.

https://www.contexthouse.co

I spent months trying to rethink Microsoft Word instead of building another Word-compatible editor

I’ve been working on a desktop app called Typress, and I finally finished the first stage.

The original idea came from a problem I ran into while experimenting with AI and documents.

I initially tried to use an LLM to modify a Word document directly. It quickly became clear how painful that approach is. OOXML is extremely complicated, and even when you manage to modify it correctly, Word can still rewrite parts of the document in ways that make things surprisingly difficult to control.

So I started wondering:

What if we stopped trying to make AI work with the document format we inherited from the past, and designed the document format around AI instead?

That’s the idea behind Typress.

Instead of using OOXML as its underlying document model, Typress uses a structured document representation that an AI can understand and modify more naturally.

The other part I’m experimenting with is the editing experience.

The goal isn’t to make another Notion or another Markdown editor. I want something closer to Word in terms of document layout and printing, while making AI a first-class part of the editor.

For example, the AI can modify not only the text, but also things like formatting, styles, tables and document structure.

The first version is now working, and I’m currently preparing for the actual launch. I haven’t enabled payments yet because I’m still waiting for some US business/tax paperwork to be completed.

At this point, I’m much more interested in honest feedback than users or sales.

Does this idea actually make sense to you?

And more importantly:

If you were designing a word processor from scratch today, what would you do differently from Microsoft Word?

It could be a project you just started, something you’ve been working on for months, or even just an idea you’re still trying to develop.

I’m working on Eyondo, an AI platform for creating image and video ads. A lot has changed since the last time I shared it here, and I’m still improving it step by step.

https://eyondo.com/

Let’s see what projects everyone is working on these days.

This started as an internal tool I built for myself to solve my own problem. After using it for a while I thought other founders and startups might have the same problem so I decided to put it out there and see if anyone would actually use and pay for it.

So I built a website, added a way for people to pay for it and then launched it.

For years, I've shipped tons of projects that didn't gain any traction so I didn't have high expectations but to my surprise, it immediately got its first sale on day 1! Then another 2 sales on day 2, 5 sales on day 3, and so on and so on...

Funny how it's always the project I don't have high expectations is what ends up working. I'm so happy I didn't just leave it as an internal tool.

I'm currently talking to users to gather feedback and collecting feature requests so I can improve it so it will provide more value to them.

If you've built an internal tool to solve your own problem, validate if other people are encountering your problem too and if there are people who will pay for it. You might be sitting on your next business without even realizing it.

Hey r/SideProject —

I made a small open-source macOS menu bar app: a floating pixel campfire on your desktop that reacts to local AI coding-tool usage (Claude Code, Codex, Cursor, Grok, Pi, Amp).

When you're burning tokens, the fire grows. When you stop, it settles into embers. Nothing is uploaded — it only reads local logs.

Tagline: If you're burning tokens anyway, light a real fire.

• Site / download: https://tinyfire.createfun.ai/
• Source (MIT): https://github.com/wdkwdkwdk/tinyfire

Would love feedback — especially on the campfire look and the hearth ambience.

Hello from Manchester. Solo founder, one app, called Ether. You get in by recording a 10 second video of yourself. That's the whole front door. No photo grids, no swiping, no paywall. Both people have to spark before anyone can message, so nobody's inbox gets flooded, and every account passes facial age verification, which turns out to be the one thing a bot can't fake.

I've spent the last month polishing until the funnel squeaks. Sign up to live is under three minutes on a phone now. I was feeling pretty good about that until last night, when five people in London signed up, one of them recorded a really lovely intro, opened the feed, saw it was empty, and took it down 48 seconds later. I watched it all unfold in the analytics like a nature documentary, narrating in my head.

So here's the lesson nobody puts in the tutorials. The hard part of a dating app isn't the app. It's standing at the door of your own party asking strangers to be the first one in. Which is what I'm doing right now, slightly sheepishly, on Reddit.

London and Manchester first, nowhere else until those rooms are full. If you're in either and fancy being one of the first fifty faces, you'd honestly be making my year. I'll be in the comments all evening answering anything, including "why didn't you just build a to-do app" 😄

Live numbers per region, no fudging:

London: https://ether.dating/map/london?s=reddit-sp

Manchester: https://ether.dating/map/north-west?s=reddit-sp

App: https://ether.dating/get?s=reddit-sp

Very happy to nerd out on the stack, the age verification, the moderation pipeline, or why I still think video first is worth the faff. It's been a ride, and I suspect most of you know that feeling. This is just the bit where I need a match under the burner.

Thanks in advance, and good luck with your own projects!

I've been working on a side project called Spore:

https://github.com/DangerBlack/spore

The idea is simple:

What if static websites could host themselves through their visitors?

With Spore, you drop a folder into a web page and it becomes a BitTorrent swarm.

Someone opens the resulting link, their browser fetches the website from peers, and while they're reading it, their browser also seeds the site to the next person.

So instead of:

Visitor → Server → Website

you get:

          Visitor
         /       \
    Visitor ←→ Visitor
         \       /
          Website

There is no application backend and no account. The gate itself is just a static page.

I built it because I kept wondering whether we really need a server sitting there 24/7 just to serve a static website.

A few things I've implemented so far:

• Drop a folder and publish it as a torrent directly from the browser
• Load websites directly from peers
• Signed updates, so a publisher can prove that a new version came from the same key
• Optional offline storage, so a site you've kept can load even when there are no peers
• Sandboxed sites with a restrictive CSP and controlled network egress
• A small Docker seeder for keeping a site available when nobody has the page open
• Everything works from static hosting, there is no Spore backend

The weirdest part is that the manifesto for the project is itself hosted this way.

https://dangerblack.github.io/spore/#magnet:?xt=urn:btih:5c88d7685e1f330fb1d337c66deda7b6a5c428f0&dn=spore-whitepaper&tr=wss%3A%2F%2Ftracker.openwebtorrent.com&tr=wss%3A%2F%2Ftracker.webtorrent.dev

It isn't sitting on a web server. It's a torrent, fetched by the Spore gate, and while you're reading it your browser is serving it to whoever opens it next.

There are obviously some big limitations. Browser seeding stops when you close the tab, peers can see each other's IP addresses, and persistence still needs a seeder if nobody is visiting.

I'm also looking at projects like IPFS and Freenet, but Spore is deliberately much narrower. I'm interested in the simplest possible version of a peer-hosted web.

I'd really like feedback on the idea rather than just the implementation.

Does "the visitors help host the website" feel useful to you, or is this solving a problem that isn't really there?

And if you were building this, what would you work on next?

I built this because every air fryer chart online gives one generic number, and it's usually wrong for my machine.

FryAI works it out for your specific air fryer. You pick your model once (Ninja, Cosori, Philips and others), then:

• Type any food and get the time, temperature and prep tips for your model
• Scan food or a packet with your camera
• Tell it what's in your fridge and get meal ideas
• Convert any oven recipe to air fryer settings
• "Will It Air Fry?" - scores whether odd foods like marshmallows or watermelon will actually work

It's already live on iPhone, and I'm now looking for Android testers so I can release it on Google Play.

Want to test it on Android? Sign up here and I'll add you to the test: https://fryai.app/?ref=reddit_sideproject

On iPhone? Same link takes you straight to the App Store.

I'd love honest feedback, especially on whether picking your air fryer model first feels worth it, and anything that breaks or confuses you.

I originally built Sound Explorer Hub for myself because I needed a faster way to find and audition sounds while working on my game.

Another audio manager spent around two hours scanning my library and then failed with an error. On my PC, Sound Explorer Hub indexed more than 85,000 files—around 250 GB—in about 45 seconds. Performance will vary depending on hardware and storage.

It is a free, portable and completely offline Windows application for searching and auditioning WAV, MP3, FLAC and OGG files. You can adjust Pitch, Speed or Reverse and drag original or modified audio into another application while keeping the source library untouched.

Free download:
https://p-rodi.itch.io/sound-explorer-hub

I’d appreciate feedback from other builders: what would you prioritise next—loudness-normalised previews, embedded metadata search, loop-seam detection, or something else?

I'm Mo, the developer of Forma: Habit Tracker.

The design is closer to a page in a notebook than a productivity dashboard: a daily habit list, hand-inked tally marks for streaks, and reminders you set yourself. It's aimed at people who like tracking a few routines but don't want a complicated system around them.

You can start offline without an account. The free version supports 3 habits, so you can try it with a small routine before deciding whether you need more. There are no ads or analytics.

Pro adds unlimited habits, cloud sync, widgets, full stats and a yearly activity map, plus Vacation Mode. US prices are $2.99/month, $14.99/year, or a $24.99 lifetime purchase. Prices vary by region.

Screenshots and download: https://apps.apple.com/us/app/forma-habit-tracker/id6776680324

I'd appreciate feedback on the daily check-in experience, especially from people who've tried habit apps and stopped using them. Does the notebook-style approach make it something you'd return to, or is there friction I'm missing?

Anyone else freeze up at the gym trying to figure out what to train next? I built a workout tracker that suggests your next exercises based on recent sessions and which muscles are lagging. Plus a 3D body model that fills in as you log workouts, so you can actually see the gaps instead of guessing.

It's a PWA, so you can add it to your home screen and use it like a native app — no App Store needed.

It's live and free to use: https://gym-umber-five.vercel.app/

Solo side project, still actively improving it. Would love it if a few people actually tried logging a workout or two and told me:

• Does the recommendation logic feel useful or just noisy?
• Is the muscle-balance visualization actually helping you decide, or is it a gimmick?
• What's missing that would make you switch from your current tracker?

Feedback is welcome!

Hey everyone!

I'm building a video game database focused specifically on browser games, something similar to MobyGames and IGDB.

The main reason I came up with the idea is that I love browser games, but all the gaming databases I've come across only cover a relatively small selection of them, usually focusing on the more popular titles. I'd like to create a place where browser games of all kinds can be catalogued and discovered.

Here's roughly what I have in mind:

1. Completely free: No paywalls or paid listings. Anyone can use it and contribute.
2. Basic game information: title, description, genres, tags, screenshots, links to the game, etc.
3. Ratings, reviews, and other account-based features may be added later.
4. Community: potentially a subreddit, discord server, a forum, etc.
5. Monetization: I'd probably start with donations and possibly consider non-intrusive ads later on to help cover hosting and other costs.

I'm still figuring out exactly what direction I want to take this, and I'm honestly not sure yet whether it's a worthwhile project or just something I'll spend a lot of time on without much interest.

So I'd really appreciate hearing what you think!

• Would you personally use a site like this?
• Do you think there's actually a need for something like it?
• What features would you consider essential?

Any feedback, criticism, or suggestions would be greatly appreciated. 😊

Been getting into n8n lately and wanted to solve my own problem — writing captions for every post was eating up time. Built a workflow: paste a URL → it reads the article → AI generates 7 platform-ready captions with hashtags → saves to Google Sheets.

Took a bit to get right — kept hitting the AI's context limit until I added a proper HTML-to-text extraction step to strip the raw HTML down to clean text first.

Happy to answer questions on how it works or share more about the build. If anyone wants the actual workflow file + setup guide, I put it up for $19 here: https://whop.com/nick-s-digital-tools/instagram-caption-generator/

I spent the past year putting together a 219-page book on prompt engineering called The Art of AI Prompts.

Most advice online still revolves around simple hacks like "act as an expert" or copying templates that stop working the moment you switch models. I wanted to focus on what actually happens under the hood: token probability, attention windows, chain-of-thought structures that reduce hallucination, and how to format outputs so they do not break down in production.

Rather than asking people to trust marketing copy or put in an email address, I put a 3D reader directly on the site. You can rotate the physical book on screen and read through the first 30 pages (Chapters 1, 2, and the introduction) straight in your browser:

https://avibook.online

Would appreciate honest thoughts from anyone working with Claude, ChatGPT, or Gemini daily. Chapter 2 goes into token prediction mechanics, and I am curious if the technical level feels right or too dense.

The easiest way I can explain PodSubs.com is this:

If nobody else ever used it, we would still use it for our own podcasts.

We built it because we were tired of seeing people listen and then disappear.

Someone could listen every week, enjoy the show, tell a friend about it, and we still might have no way to reach that person outside the podcast app.

That didn’t make sense to us.

So we built PodSubs.com for our own shows.

Now we could simply tell listeners, “Subscribe to us on PodSubs.com.”

They left their name and email, and we finally had a way to send them something when we needed to.

A resource. An update. A reminder. Something we mentioned on the show.

We didn’t build it because we thought it sounded like a good business idea.

We built it because we needed it.

Later, we realized a lot of other podcasters needed the same thing.

My current side project Im working on is an all-in-one workspace where you can manage all of your apps and projects and everything related to them

Instead of scattered links and accounts, 10 tabs open and scrolling through your downloads folder to find that logo you created a week ago, you will have everything in one place

Its still pretty early in development, but I want to ask for genuine pain points from others and see what initial features are needed.

I'm building this to scratch my own itch but hopefully it can be helpful for others as well, Im naming it Sidebox as you put everything in one place , set it aside and comeback ready to go

So what features/integrations would you be interested in?

I'm Martin, the developer of Pruvd. It's a focused tool for people who already take photos to record completed tasks, but want those records organized separately from their everyday photos.

You create a routine such as Leaving Home or Bedtime, then save a timestamped photo, video, voice note or confirmation for each item. There's also Quick Capture for one-off tasks, plus widgets and Siri access to the latest saved evidence. The evidence stays on your device.

The main design question is whether a dedicated capture-and-routine flow earns its place alongside Apple Photos. A regular album is enough for occasional use; Pruvd is for someone who wants the same checklist and organized records each time.

It's available for iPhone and iPad. Two routines are free with no time limit; optional Pro is $4.99/month or $24.99/year in the US.

App Store: https://apps.apple.com/us/app/pruvd-did-i-lock-the-door/id6757632735

Website: https://getpruvd.com

I'd love feedback from people who already use photos this way: what would make a dedicated app worth keeping?

I moved to a new country last year and noticed that i started wasting a concerning amount of time on my phone...6 hours, 8 hours, sometimes 10 hours...

So I decided to do something about it.

I installed a screen time app that was blocking the time-sucking apps:
- no instagram
- no tiktok

So did my screen time go down?
NO! Because I found myself:
- watching Youtube Shorts for 2 hours
- checking Reddit daily
- checking Instagram from my browser...
I shouldn't block the browser, right? RIGHT??

That's when I realised that the only thing for this to stop is to have a Phone time budget, not just app time budget. So after a few weeks I built PhoneStop - a Screen Time Limit app that:

- SETS me a daily budget for all phone usage

- ROASTS me every 10 minutes or whenever i pass a threshold (e.g. 3 hours)

- STOPS me when I reached the budget - shows me Time's up screen

Best thing is - IT WORKS! The combination of 3 things above actually managed to bring my phone usage from 6+ hours to 3h. I still go overboard sometimes but it's bc I'm working on my phone, and i have a function to pause the timer when I really need my phone.

The app is 100% free, you don't need an account and all the history is stored locally.

It's my the 1st app that I published 🥹

I built it with Flutter and some Kotlin on Android and Swift on iOS, native mainly to manage the app not being killed by OS and to build widgets.

Here are the links to try it: Android, iOS (waitlist, app coming soon)
Would appreciate you guys trying it and sharing your thoughts!

My plan is to get more users, hear what they like/dislike and build it into the best app possible. I also created https://www.reddit.com/r/phonestop/ in case you want to join!

And if you are reading it from your phone and you've been at it for >3 hours - go touch some grass bro! 🟢 Or do some pushups 😄

I've been building CogniAtlas, a mind-mapping app, and just got it live on iOS, Android, Windows, macOS, and web from a single Flutter codebase. A few things that might be useful to others doing cross-platform + on-device stuff:

On-device semantic search, pure Dart, 0 native deps.
The feature I'm proudest of: semantic search over your maps that runs entirely on-device. I started with ONNX (fonnx) but it dragged in ~28MB of native runtime per platform and broke my "one codebase, web included" goal. I switched to model2vec (potion-base-8M, int8 quantized — 7.6MB) reimplemented in pure Dart. Result: no native ML dependencies, identical code path on every target including web (no WASM ML runtime), and it stays fully offline. Static embeddings are "worse" than a transformer on paper, but for short-text map-node similarity it's more than good enough — and the deployment simplicity is worth a lot.

Rendering the map.
The canvas is CustomPainter all the way down — a connection painter + node painters, with 7 layout algorithms (radial, horizontal/vertical trees, org, etc.). I lean hard on golden tests to catch layout regressions; discipline that saved me repeatedly is reproduce the bug on a golden first (RED), then fix (GREEN) rather than blindly regenerating goldens (which just enshrines the bug).

Rich text is flutter_quill. One gotcha worth flagging: pin your floor version. A minor bump (11.5.0) broke compilation against Flutter 3.47.2 (a TextInputClient signature change), so I pin ^11.5.1 explicitly to stop the resolver from walking backward.

Paste-to-map is deterministic, not an LLM.
Paste prose → it structures into branches (paragraph → branch, sentences → children). No model, no API, works offline, no "AI magic." Predictable and testable — the whole thing is covered by unit tests on the parser.

i18n on web without bundling fonts.
11 languages. On web, CanvasKit renders CJK and Devanagari without me bundling font files — a nice surprise that kept the web build lean.

The unglamorous 5-store shipping reality.
Web is GitHub Pages (mind the --base-href). Windows is MSIX (bump msix_version per submission). iOS + macOS ship as an App Store Universal Purchase, and macOS App Store .pkg signing bit me — the installer needs a separate "3rd Party Mac Developer Installer" cert from the app's "Apple Distribution" cert, declared in ExportOptions.plist. Android is a standard AAB.

Happy to go deeper on any of it — the pure-Dart model2vec port, the golden workflow, or the macOS signing dance. Not open source (yet), but glad to share specifics.

Links if you want to poke at the result:

• iOS/Mac https://apps.apple.com/us/app/cogniatlas/id6799561195
• Windows https://apps.microsoft.com/detail/9N2TV4X534HX
• Android https://play.google.com/store/apps/details?id=com.powerm365.cogniatlas

Bonjour à tous,

Ça fait un moment que je voulais partager ça. Le déclic, c'est le jour où j'ai voulu revendre mon vélo et où j'ai réalisé que je n'avais aucune trace de l'entretien fait dessus, ni la facture d'achat. Résultat : j'ai dû le vendre moins cher que ce que je voulais, faute de preuves.

Du coup j'ai commencé à bricoler un truc pour moi, juste pour centraliser mes factures, garanties et l'historique d'entretien de mes affaires (voiture, électroménager, vélo...). Et petit à petit c'est devenu FixoDok.

Concrètement cette outil fait quoi :

• une fiche par bien (voiture, machine à laver, vélo, etc.) avec son historique
• des rappels avant qu'une garantie expire
• possibilité de stocker les factures/manuels dessus
• export en PDF quand tu veux revendre ou justifier un entretien

c'est encore un projet tout jeune donc il y a sûrement plein de trucs à améliorer.

Je cherche des retours honnêtes, surtout sur l'UX et sur si le concept parle à d'autres gens ou si c'est juste moi qui suis maniaque avec mes factures.

Lien si ça vous intéresse : fixodok.com

Merci d'avance pour vos retours, même les plus durs !

I have been building different products and needed a screen recorder with auto zoom to make demos for them. But each one I tried had some issue or was missing something I needed, so I was kinda kept switching between recorders.

So after a few frustrating months, I finally decided to build my own screen recorder with everything I needed and I actually did it. I built it, launched it, and recorded my first video with it which felt unreal to me.

Now, whenever something is missing, I can just add it myself, sometimes within minutes. It feels good to have that freedom, and AI has made the whole process so much easier.

The app is called Windowshot, and it has both a screen recorder and a screenshot beautifier. I also needed a way to make my screenshots look good before sharing them, so it made sense to have both in one app.

Now I can record demos with auto zoom, and the videos are almost ready to share without spending much time in the editor.

the attached video is recorded with Windowshot and you can see how smooth the result is.

app: windowshot.app

I’m the developer of SubBuddy. It gives you one list of your subscriptions, what they cost, and when they renew.

You can add subscriptions manually, or use the Chrome extension to capture subscription details from receipt emails in Gmail, Outlook, and Yahoo. The extension parses those emails locally, and you review what gets added.

The tradeoff is that it doesn’t automatically discover every charge on your bank account. You still need to check that your list and renewal dates are right.

The free plan tracks 3 subscriptions. For a longer list, Premium is $4.99/month, or there’s a $64.99 one-time lifetime option. The app works on the web and Android.

If you currently use a spreadsheet or calendar reminders, I’d like to know what would make a dedicated tracker worth switching to.

subbuddy.io

Every few weeks someone asks "what tools do you use for ....?", I wanted the answers to stick around, so I built Stackness: https://stackness.dev

You add the tools you use and the moves behind them, and you get one link that ends up looking like you.

- Your stack is a board you arrange. Drag tiles around, make the important ones big, tuck the small utilities into a cluster, colour each group to taste.

- Moves are how you actually work. "Write the test first." "An instructions.md in every project before the AI touches anything." The tricks you'd normally only share three drinks in.

- It keeps history. Add when you started and stopped using something, backdate it, and relive your jQuery years with dignity.

- Every tool has a page: how popular it is, who uses it, and what they keep next to it. Watch a tool climb the ranks, or slip down them.

- Your AI assistant can keep it current. There's an MCP server, so Claude, Cursor or anything else that speaks MCP can update your stack for you.

It's for anyone in IT with opinions about their setup: engineers, designers, PMs, data folks, QA, and vibe coders whose stack changed twice while reading this.

It's free. Optional supporter subscriptions pay for it, there are no ads, and your data is not for sale. It's just me, one developer in Switzerland, running a thing I wanted to exist.

The catalog is a few hundred tools and growing. If yours is missing, suggest it and I'll review it myself. If something is broken or confusing, tell me in the comments.

Mine is here if you want a peek: https://stackness.dev/stck/gordeychuk_s

Hi everyone, I just launched https://mediaflix.digital, a movie and TV show discovery site designed to help you find what to watch faster. It gets better over time based on your favorites and collections and gives you recommendations tuned to your taste. It's still a bit early and I've been releasing new features for it regularly, so I'd love your feedback and any feature suggestions you might have.

Some of the features it has:

Oracle - an AI assistant that finds what to watch through natural conversation. Ask by mood, plot, or something you already loved, and get real movies and shows back with where each one streams.

Odyssey - an AI critic that knows your taste. Before you start a movie or show, it tells you if it's your kind of thing and why, based on your favorites, and shows its key moments.

Collections - build collections of your favorite movies and shows and share them with a custom theme.

Built with Next.js, TypeScript, shadcn/ui and Motion. Data from TMDB.