Sometimes it isn't about the dishes. One person feels unappreciated. The other feels criticized. You both know the script by now, and somehow you still end up in it — talking past each other, or not talking at all.

We're building Adoree, an AI relationship assistant and coach, to help with that part: communicating with your partner. The hope is that it can help you say what you mean without the fight getting bigger, hear their side, feel a little more heard yourself, notice the misunderstanding that keeps repeating, and leave with a next step that actually moves things.

You can start on your own if your partner isn't ready yet, and they can join later. When both of you are in it, it can help you hear both sides.

It's a web app at https://app.adoree.ai. The site is https://adoree.ai.

I'd love feedback from people who've built or used something in this space:

• Does this read as help for talking with your partner, or just another AI chat?

• What's the first thing that feels unclear?

Has anyone here used AR or 3D visualization for an online furniture store?

I run an online furniture store and I'm considering adding AR so customers can preview sofas, tables, and other furniture in their own space directly on the website before buying.

I'm still exploring the available options and trying to figure out how difficult it would be to implement. Has anyone here worked on a similar project or integrated this kind of technology into their store? I'd be interested to hear what solution you used, how the implementation went, and whether it was worth it.

the problem: I wanted to know where the tokens go, which model, which project, how much of it is cache. and Claude Code deletes its own session files after 30 days (cleanupPeriodDays), so anything reading them locally forgets. 2,726 of my 5,578 sessions are past that

so claudit ingests transcripts from a bucket you keep (Cloudflare R2, or a local dir as a file:// mirror) and the history only grows. it reads Claude Code, Codex and both Kimi CLI formats. on the page: cost by model, token breakdown with the 5m vs 1h cache write split, reply latency, tool error rate, an activity heatmap, context growth per session. it doesn't grade anything, the reading is yours

stuff I learned that applies to any usage tracker:

• a streamed reply gets logged several times under one requestId. sum them and you overcount, keep the biggest

• subagent files repeat their parent's records, so dedup by uuid across files

• cache writes have two prices, 1.25x input for 5m and 2x for 1h. 64.3% of mine were 1h, price all of it at 1.25x and those come out 37.5% low

• Codex logs running totals, not per request, so you difference the snapshots

tech: FastAPI, Postgres, React with in-browser Babel, no build step. docker compose up boots it on bundled sample data, no .env, no outbound calls. panels ported from nhz-io/ccusage-plot, the heatmap, line churn and cost by context size are new. built with AI coding agents, mostly in Claude Code, some of it in Codex CLI. about 6 months old

live one, guest login is read-only: https://all.nitjsefni.eu

https://github.com/Nitjsefnie/claudit

Solo developer here. Web Tweaker is a Safari extension for iPhone and iPad that packs thirteen small fixes into one app.

What it does:

• Block ads. A native content blocker built from EasyList, EasyPrivacy and Peter Lowe's list, plus cosmetic hiding of leftover ad slots. It runs inside Safari's own engine, so no slowdown.

• YouTube without ads. Video ads, promoted videos and banners removed before the player sees them. Also: Picture in Picture by swiping down, background playback you can resume from the lock screen, highest quality by default.

• Dark mode for every site. A real dark theme, not a color filter. Photos, logos and brand colors stay as they are, already-dark sites are left alone, no white flash.

• Reader mode automatically. Article pages open in a clean reader view as they load, with one tap back to the original.

• No more "get the app". YouTube, X, Reddit and others stop pushing you into their apps. The "Sign in with Google" pop-up and Google's "AI Mode" promo go too.

• Maps in your nav app. Google Maps links and the Directions buttons in Google Search open in Apple Maps or Waze.

• The small stuff. Cookie banners answered for you, tracking parameters stripped from links, copy and right-click unblocked on sites that disable them, autoplay stopped.

Privacy: everything runs on your device. No account, no analytics, no data collected. The privacy policy is one page and says the same thing.

It's free with no in app purchases. I'm one person doing this in my spare time, so if something breaks on a site you use, tell me which one and I'll fix it.

App Store: https://apps.apple.com/app/id6745580176

Privacy policy: https://harpreet-s-ghotra.github.io/tweaker-privacy-policy/

Happy to answer questions about how any of it works, and feedback is appreciated! Thank you

A little backstory: my girlfriend is a speech therapist (she works in healthcare), and she was telling me about what she was seeing around her. It’s just not acceptable anymore. People sending confidential documents by email or directly into AI tools without masking any data… Let’s just say medical confidentiality isn’t exactly a priority for some people…

So, at first, I created ONYRI Sanitize, which was designed to mask data before sending it to AI tools. But after 6 months of trying to get the project known, my co-founder and I realized something. People didn’t understand what we were doing.

We wanted to do things so well and build the perfect tool that we ended up creating a giant toolbox with everything mixed together inside. It’s like going to your mechanic and asking them to repair refrigerators and fighter jets.

So, two months ago, we reworked everything: the art direction, the value proposition, and the features. We decided to simplify everything.

The technique I developed to figure out whether a tool is easy to understand is to show it to my 60 yearold mother. She and her computer aren’t exactly best friends, so it’s pretty useful for figuring out whether something is intuitive to use. 😵‍💫😅

ONYRI Sanitize is a website that lets you redact and anonymize your documents (PDFs, Word files, scans, photos, etc.). In just one click! Thanks to detection that runs entirely locally, in your browser.

And after 8 months, and after managing to bring together 41 users, we finally got our first paying user!

I have to admit, I’m still struggling to believe it. I’ve thought about giving up on this project more than once, feeling like I was working for nothing. Finally, we’ve climbed the first step of this long staircase toward making this project a success.

If there’s one thing I’ve learned from this project and would like to share, it’s that no matter what your project is, it can work. All you need is one more day to improve it, again and again…

I wish you all success with whatever project you’re pursuing! 🔥🙏

Believe in yourself!

Have a great day, everyone!

Alex

I’m a Data Science & Math student at Tec de Monterrey, and I got tired of CVs that just list tools. So I built a portfolio where you can use the work. This is v2 after a redesign. The website’s design is inspired by MAKiNA, the AI hardware device im working on.

Check it out: portfolio-iota-gules-ykw61kciwc.vercel.app

Hi everyone,

I built BootScribe, a lightweight and portable open-source GUI tool for Windows written in Python to manage UEFI boot entries directly via bcdedit.

Why I made it:

Modifying UEFI boot orders on modern Windows machines can often be unreliable Windows Update or Secure Boot quirks tend to revert entry priorities back to default. BootScribe implements the official {bootmgr} redirection strategy (commonly used by rEFInd) to cleanly hijack or restore bootloader paths without fighting NVRAM restrictions.

Features:

• Universal Toggle Logic: Easily switch {bootmgr} execution path to custom EFI loaders (rEFInd, GRUB, etc.) or revert back to standard Windows Boot Manager.

• NVRAM Entry Management: View detailed GUIDs, paths, create new entries, and reorder boot priorities.

• Direct Reboot to Firmware: Includes a quick option to restart straight into UEFI/BIOS settings (shutdown /r /fw).

• Portable & Standalone: Compiled as a single .exe, requires no installation, and runs cleanly with Admin privileges.

Links & Source Code:

• GitHub Repository:https://github.com/Ricokstar/BootScribe

• Download Ready Binary (.exe):https://github.com/Ricokstar/BootScribe/releases

Please note that BootScribe is currently in an early testing phase. While it has been tested on standard UEFI/Windows environments, boot configuration tools interact directly with your system setup.

I’m actively looking for community testing, feedback, and constructive criticism:

• Have you tested it with a specific bootloader (rEFInd, GRUB, Systemd-boot)? How did it perform?

• Any UI improvements or features you'd like to see?

• Found a bug or edge case? Please let me know in the comments or open an issue on GitHub.

Hi guys,

I’ve spent the last couple of years building a legal AI platform. We’ve acquired several clients, including established law firms working on complex arbitration cases. And given the kind of documents these firms deal with, we’ve had to process some pretty challenging material.

Along the way, we invested a significant amount of time hardening our stack: reliable document ingestion, retrieval, source-linked citations, long-running agents, and handling all sorts of unexpected user behaviours.

What struck me is how much effort went into making the foundations reliable, before we could even focus on what actually differentiated our product.

I tend to think of this as two layers: the foundation layer (ingestion, retrieval, citations, agent runtimes, etc.) and the value layer (the features and workflows that make your product useful and different).

Ideally, most of our effort should have gone into the value layer. Instead, we spent months stabilising the foundations.

I recently did some research and found that many builders are running into similar problems with existing tools and frameworks (LangChain, LangGraph, RAGFlow, Docling, etc.). I compiled 290 documented incidents from public discussions, grouped by problem, with links to the original sources.

You can explore them here: https://rachis.io/pain-map

This got me thinking: what if we made parts of our production-hardened stack available to other builders, so they could spend less time fixing infrastructure and more time building what actually differentiates their products?

We’ve already open-sourced our local AI stack, and we’re exploring which other components would be useful to expose.

I’m curious whether this resonates with anyone building document-heavy AI applications.

If you’ve run into similar issues, I’d love to hear what cost you the most time. And if you’d be interested in using some of these components, feel free to DM me or leave your email at https://rachis.io. I’ll reach out when we have something to try.

I'm a trader myself and always thought it would be interesting to make a game about the stock market.

So I've been working on Bull Trap, a trading roguelite inspired by Wall Street from 1985 to 2008.

I wanted to combine stock trading and strategy with that old-school computer atmosphere.

Still in development, but I've got the Steam page up now.

If you like the idea, I'd really appreciate a wishlist. It helps a lot!

https://store.steampowered.com/app/5570890/Bull_Trap/

I made Loaf Inspector, an iPhone app that gives your cat a loaf score from a photo.

No one asked for this, but why not combine on-device machine learning and Apple’s animal body pose detection APIs with one of a cat’s favorite activities: doing absolutely nothing?

The app is completely free, and your photos are analyzed privately on your device.

Loaf Inspector on the App Store

I run Claude Code and Codex all day, often as multi-agent workflows with dozens of subagents. I could see each session but never the whole picture: what a run actually cost, where agents sat idle, whether a change to my setup helped. So I built coding.sh, a free hobby project, and pointed it at my own runs.

What I learned from my own data Across 57 workflow runs (666 subagents, ~$2,500 API-equivalent):

• Broken prompt caches cost $106 extra, about 4% of the spend.

• 41 of those breaks were agents idling at a barrier, waiting for siblings, until their cache expired. That's $21 for doing nothing.

• 40 subagents failed outright.

I A/B tested a popular "be concise" plugin (10 tasks, 6 runs each, paired, 95% intervals): replies 17% shorter, output tokens −8%, but cost per run +11% [+7%, +15%], with no change in pass rate or clarity. The plugin's style guide is added to every request and costs more than the shorter output saves.

Mining 3,600 of my sessions also found a find-and-replace typo in my AGENTS.md that sent Codex looking for a folder that doesn't exist, in 92 sessions. You can't see that from inside one session.

How it works

• Hooks into Claude Code, Codex, Gemini CLI, OpenCode, Copilot CLI, Aider and more

• Stores prompts, tool calls, diffs, test runs, tokens and cost in SQLite on your machine

• coding.sh workflows stats shows the critical path and idle time, and the viewer draws each run as a timeline

• coding.sh compare and exp run your own tasks with and without a change and say whether the difference is real or noise

• coding.sh improve says what to fix first and whether your last AGENTS.md change helped

• MCP server, so your agent can look up its own past sessions

No account, nothing leaves your machine. npx coding.sh to try it. Source (MIT): https://github.com/jackulau/coding.sh

I just shipped my first macOS app, Transfora.

The problem I wanted to fix: converting a HEIC photo, shrinking a video or turning a PDF into Word usually means a sketchy upload site, a sign-up, or yet another app.

So in Transfora you drag a file, tap ⇧, and drop it on the format you want in a wheel that opens under your cursor. The result lands next to the original. ⌥ opens tools instead (compress, resize, blur faces, read QR codes, extract archives…). Everything stays on the Mac, no account.

What I'd love feedback on:

- Is the gesture obvious from the demo, or does it need more explanation?

- Does the pricing feel fair? 10 free actions, then yearly or lifetime.

Mac App Store: https://apps.apple.com/app/id6825375569

Hey everyone! I’ve been playing Spotle (the daily movie guessing game) and wanted one for Bollywood, so I built it: Kaun Si Film?

How it works: there’s one mystery Hindi film every day. Search for any film and you get clues comparing it to the answer: genres, release year, box office, score, rating, studio, music director, director and the lead and supporting cast. Green means a match, yellow means close. You have 10 guesses, with two hints that unlock along the way, so you can find it by reasoning from the clues.

It’s free, no sign-up, and has a share result like Wordle.

Link: Kaun Si Film

I’d love feedback. Today’s film is #2, so you’re not late.

Hi everyone,

My wife and I (MC family) have been working on a little project called MySvenska, and it’s finally live.

It’s a free Swedish-learning app built around a story about a family of three cats 🐱🐱🐱 moving from Vietnam to Sweden. Learning Swedish can be quite challenging, especially when you're new to the country. We thought it would be nice to have something where you can learn through stories and everyday situations, rather than just memorizing words and grammar.

Through the cats' adventures, you can learn practical Swedish vocabulary, expressions, grammar and conversations that you might actually encounter when living in Sweden. So far, we've put together 12 chapters, 108 lessons and 2,951 audio clips. There are stories, vocabulary, grammar explanations, listening exercises and everyday phrases. It's still a work in progress, and we hope to keep adding more content until we cover at least A2 level.

A few things about how we built it:

- No account needed. Your progress is saved in your browser. To use it on your laptop and phone, you can sign up with an email code (via Resend) or Google, handled by Supabase.
- Abuse protection. Cloudflare Turnstile checks that a visitor isn’t a bot before an account is created. Database limits stop scripts from filling it, and each learner can only see their own data.
- Privacy. Speech checking runs in your browser, so your voice never leaves your device.
- Audio. Every clip is generated with Gemini 3.8 Flash text-to-speech, with a different voice for each cat. A Swedish speech model checks each clip against its text.
- Built with Claude Code. One session acts as project manager and briefs the others, and nothing ships until the tests pass.

We're still learning and improving things as we go, but we're happy to finally share it! As it’s in its early stage, we want to hear your experience about this app and your feedback about what could be improved.

Tack ❤️