Hey everyone,

A few months ago I shared the early concept of Expeditione here. Today, I wanted to share a closer look at the flagship expedition : Ancient Egypt.

Most educational content online is choked with cookie popups, ad banners, and auto-generated slop. I wanted to build the exact opposite : an authentic, ad-free digital museum you can explore straight from your browser with zero friction.

What’s inside the expedition :

• 5 Handcrafted Dioramas : Everyday homes, Nile farming, limestone quarries, temples, and the Giza Plateau.
• Interactive Tools : Dynamic scanner inspections, archaeological cutaways, and a 1:1 "True Size" mode at the Pyramids where you can stack structures up to 150m for real-world scale.
• Everyday Life Focus : Rather than just monuments, it covers how ordinary Egyptians lived, worked, and built.
• Classroom Resources : Downloadable educator guides and student worksheets with no sign-ups or email gates.

The Performance & Optimization Pipeline:

Getting interactive 3D to run butter-smooth on 6-year-old Chromebooks and budget mobile devices meant being ruthless with asset weight :

• Payloads: Initial core load is ~2MB, with subsequent scenes averaging ~1MB each (Pyramids sits around 2–3MB due to scale).
• Stack: Three.js, Blender, and GSAP for animation sequencing.

It’s completely free—no tracking, no ads, no paywalls.

Explore it here : https://expeditione.fun/expeditions/ancient-egypt/

Would be really glad to hear your thoughts on how you feel!

I hope you enjoy the expedition 💖

It’s only one star, but it’s my first one, and seeing someone I don’t know star something I made genuinely makes me happy lol

Realized 99% of my ideas are ass and I'm better off working a normal job and leaving the entrepreneur thing to you all. Still have a few days left before my Claude sub lapses, so I made an extension that, like its creator, has no utility. Kids love it though and it's good for a laugh when I forget I've got the stupid thing on, especially on news sites, so no ragrets.

Anywho. Good luck to everyone building in here, been a lot of fun seeing the cool stuff you all come up with. Hope every one of you become zillionaires, if you ever need a beta tester or a pair of bad eyes to review your work, give me a shout.

My side project has finally gotten to the point where the monthly numbers actually feel meaningful, which is great but I wasn’t expecting the timing of expenses to become such a headache. Early on everything was tiny. Now I’ll have a really good month and then a bunch of expenses seem to land together before all the money from that month has actually cleared. I’m starting to pay more attention to when money moves instead of just whether the month was profitable overall.

For anyone whose side project grew into something substantial, did you change how you handled expenses as it got bigger or just start keeping a larger cash buffer around?

I've been thinking about this for a while.

There are millions of people online who know things we want to learn.

Someone knows Figma.

Someone knows how to code.

Someone knows video editing, marketing, photography, writing, a language, or almost anything else.

The knowledge is already out there.

But finding the right person to actually learn from can be surprisingly random.

You can search through Reddit communities, Discord servers, Instagram, LinkedIn, and other places.

You might eventually find someone who knows the skill.

But then there's another question: are they actually interested in teaching or exchanging knowledge with someone?

That's where the idea for my project came from.

I built a platform called Agora around a simple idea:

What if people could find each other based on what they want to learn and what they can teach?

For example:

* You know coding and want to learn UI/UX.

* Someone else knows UI/UX and wants to learn coding.

That would be a strong match because both people have something the other person wants.

With Agora, you create a profile, add the skills you can teach and the ones you want to learn, and then explore potential matches.

You can also filter people based on skills and location.

If you find someone you're interested in learning from, you send a connection request. Messaging only opens after the other person accepts it.

I kept that flow intentionally because I didn't want the platform to become another place where people could message hundreds of strangers.

The project is still an MVP. Agora

My best conversations about music have never been on music apps. They've been with strangers — someone at a party, a guy in a record store, a person in a comment thread who linked me something I'd never have found on my own.

Every music app I use turns that into a numbers game. Followers, playlist counts, monthly listeners. So I spent the last several months building the opposite.

It's called MusicPool. You pick a vibe, a genre, a mood, a decade. You get anonymously paired with one person who picked the same thing. You have 24 hours to talk and trade songs. Then the chat disappears, always. If you both want to, you can unlock each other's profiles before it goes, their name, what they're into, what other people have said about their taste. But the conversation itself is gone either way.

No feed. No followers. One stranger, one day, and whatever you played each other.

I'm the only person working on it, and it launched recently enough that I'm still finding rough edges. If you try it and something is confusing or broken, tell me here, I read everything and I'd rather hear it blunt than polite.

One honest catch: it only works if there are people in the pool. It's new, so matches can take a while right now. If the idea appeals to you, sending it to one person who'd be into it does more than anything else I could do on my own, the whole thing gets better the more people are in it.

I'm in the comments all day. Ask me anything about it, or just tell me the last song you'd want to hand a stranger, I'm curious what this sub would send.

Just bought a new place and got obsessed with figuring out the PERFECT floor plan, I even made a website for myself thats sims3 inspired where I can upload a floor plan and arrange it. I spent like 50 hours in a week this week lol

[https://planplan.me\](https://planplan.me) I dont want to monetize it, 100% free and will remain free if someone wants to have fun with it, enjoy

I realized that when it's 6 AM in the US, it's the middle of the afternoon for me here in India.

I'm thinking of starting a very simple service: I will literally spam-call busy professionals on WhatsApp until they wake up and send me a photo of them drinking a glass of water or standing outside their bed.

People easily snooze regular alarms, but they can't snooze a real, persistent human who won't hang up.

Do you guys think people would pay $10/week for this? I want to test this out on 3-4 people for FREE just to see if the model actually works before I try to build a website or anything.

Thoughts? Would love some brutal feedback!

I'm building Felan, an open-source, model-portable coding agent built on Pi. The goal is to get software work done correctly with less model spend, rather than chase a lower token count on its own.


The harness combines model routing, progressive context, compact tool output and explicit task state. We want to reduce waste around the model without treating a cheaper failed run as a win.


Across six controlled, extension-specific comparisons, we measured 36.6% lower aggregate model cost against disabled baselines. These weren't comparisons against other coding agents or a test of all extensions enabled together. The RTK comparison also had one timeout: 5/6 candidate runs passed versus 6/6 baseline runs, so I wouldn't present the cost result as proof of equal reliability.


Felan is MIT-licensed and doesn't require a Felan account. You can run `npx @felan-ai/felan` with Node.js 22.19 or newer and a supported model-provider account or API credential. It runs with your host permissions, not inside a sandbox.


Repo: https://github.com/felan-ai/felan
Benchmarks: https://felan-ai.github.io/harness-bench/results/2026-09-felan-extensions/


Where do your current coding agents waste the most work: context, tool output, retries or something else?

Stackray is a website/url scanner that shows the technologies it detects, DNS records, subdomains, and other OSINT details.

Check it out: https://stackray.app

It's open source under MIT, and there's a one-click to deploy Railway template if you want your own instance for private scanning where you can also invite users into your instance, schedule recurring scans, track changes, and setup change alerts using resend (email alerts) and slack. Source code.

If you try your own site what does it get right or miss?

I originally just wanted to build a simple caffeine tracker. (Included a demo above)

But pretty quickly I realized that manually typing in the brand, flavor, caffeine amount, size, etc. every time you drink something gets annoying.

So I started building an energy drink database to make logging easier.

Then that turned into barcode scanning, drink pages, a website for the database, and now I'm thinking about what else the data could be useful for.

I always see post about people talk about how they start a small project but then they start adding feature after feature and it never gets "done."

I didn't think I would experience that until now.

Does this happen to anyone else?

Do you usually let the project keep growing when you see new possibilities, or do you force yourself to stick to the original idea?

I've been working on Analytika for a while and finally got it to a point where I wanted to share it.

It's an analytics platform focused on visitor journeys, live visitors, funnels, attribution, revenue, Search Console and social traffic.

The goal is basically to have a better picture of what people are actually doing on your website and where your conversions are coming from.

I'd really appreciate some honest feedback.

What do you think of the UI?
Does the product make sense when you first look at it?
Anything you think is missing or could be done better?

https://analytika.me

Happy to hear criticism too, that's mainly why I'm posting it here.

I started building FocusMate Adventure after struggling to stay consistent with studying. I wanted focus sessions to feel less like watching a clock and more like making progress in a game.

The app turns sessions into quests and rewards consistency with XP, levels and streaks. It is free on iPhone and Android, but I am still trying to understand whether these game elements genuinely motivate people or simply make the timer look more interesting.

If you use focus or study timers, what actually makes you return to one every day? Streaks, rewards, distraction blocking, simplicity, or something else?

I would genuinely appreciate honest feedback, especially if you think the idea is unnecessary or something important is missing.

I’m working on a private Android side project for an employer problem: someone cannot cover a shift, and the supervisor needs a clear way to compare options and confirm coverage.

The current demo walks through an uncovered shift, candidate availability, arrival/assistance details, simulated outreach, and a coverage confirmation. It uses fictional data only—it does not contact real workers or provide a live staffing service.

I’d especially like feedback from small-business owners, supervisors, schedulers, and staffing coordinators:

• What information would you need before choosing someone?
• Where could a screen accidentally imply that a person has agreed when they haven’t?
• What would make a confirmation trustworthy, or make you abandon the workflow?

I’m also recruiting adult Android volunteers for the upcoming private beta. The first usability session should take 5–10 minutes; once the Google Play closed test opens, I’m seeking people willing to stay opted in for 14 days and try it more than once. No app account or purchases are required.

Important: the Play invitation is not live yet. This is pre-launch recruitment, not an available download. I’m keeping the app name private during this stage and will share verified access privately when it opens. Testing is voluntary and unpaid; honest criticism is welcome, and I’m not asking for ratings or positive reviews.

If this matches your experience, I’d appreciate a comment about the workflow—or a DM if you want to volunteer. Please don’t post email addresses or real workplace/employee information publicly.

— Thomas

So I've been messinga round with embedding models for a bit, and I think they are interesting enough to experiment with. They are useful for rag, especially in a localllm sense because you can ground your answers in truth.

But what happens if you have a billion documents, and you decide to upgrade your model to a "better" one? on an h100, that would take about 108 days, just to upgrade the vectors so u can start serving again (tested qwen embed 8b on h100). Even if you aren't doing 1b vectors, and are doing just 50 million, upgrading can still take a considerable time.

Me and my research lab decided to tackle this problem, and we came up with embedflow.

The method is really simple; from the old index made with the source model, take K documents and rerank them with the new model. We see that when K is sufficient, the retrieval quality is the same as target model. (determining k is the hard part). I've tested 63 migrations on upto 1 million documents.

The best result I got was upgrading qwen4b -> to 8b, and at 50 documents, it was the same as native retrieval.

This method forgos the expensive backfill that comes with upgrading, as you can directly take documents from the old index.

embedflow works with qdrant, and can be easily downloaded with pypi

pip install embedflow

the github is public: https://github.com/arnsri33/embedflow

I want you guys to try it out, and see if you guys can use it in your own workflow.

Normal app blockers stopped working for me because I they always let you take another break, it doesn’t really stop you from mindless scrolling or habitual phone usage.

So I built Argue. You choose distracting apps and a daily number of opens. Once those are gone, opening the app starts a conversation with Argo. It can grant timed access if the reason holds up or deny it if I’m just bored trying to scroll.

The part Im most curious about is whether the conversation creates useful friction or too much friction. Would love any tester feedback

https://apps.apple.com/us/app/argue-ai-screentime-blocker/id6761279161

made this website for math learning. it's essentially an elo-based math practice website with ranking systems. the main features include a real computer-algebra system, which means that equivalent answers are all marked correct (i.e., 1/2, 0.5, x^2 - 1 is the same as -1 + x^2, factored/expanded forms are all valid answers). even though it still needs work, there's also physics simulations, mainly tailored towards the AP Physics 1 curriculum, to help students visualize physics problems. another beta feature is the teaching section, where teachers can create classrooms and assign problems to students. other features are pretty standard across other learning platforms, including daily puzzles, stats, review for incorrect problems, etc. any feedback would be great!

tldr; math practice site with elo-based ranking, physics problem simulations, teaching interface. feedback greatly appreciated!!

Llevo unos meses desarrollando una app para trackear (registrar) tus lecturas, ver tus estadísticas y motivarte para ser más constante con la lectura y leer más.

Tengo una VMP lista en fase beta cerrada y necesito testers dispuestos a probar todos los recovecos de la app y darme feedback de todo lo que se puede mejorar o arreglar.

¿Hay alguien dispuesto a colaborar? Me encantaría dar feedback de vuestros proyectos.

Hey everyone 👋

I've been building ModelDock, an open source platform for managing machine learning models and their lifecycle.

The basic idea is to have things like model versions, artifacts, predictions and metrics in one place instead of having everything spread across notebooks, folders and random scripts.

The current stack is:

🐍 Python / FastAPI
⚛️ React
🐘 PostgreSQL
🐳 Docker

I've been working on it for a while and I'm at the point where I'd really like to get some other developers involved.

Some areas where I'd love help:

🐍 Backend / FastAPI
⚛️ React / UI
🤖 ML tooling and evaluation
🧪 Testing
🐳 Docker / developer experience
📚 Documentation
🐛 Smaller bugs and improvements

You don't have to be an ML expert either. There are plenty of things that are mainly software engineering.

I'm not really looking for people to just star the repo. I'd genuinely like to find a few people who want to look through the code, pick an issue and eventually make a PR.

🔗 GitHub: https://github.com/aawhan0/ModelDock

If you're interested, let me know. And if you have a look at the project, I'd also love to hear what you think could be improved.

Hey everyone! I’m the developer of Audiowaves, an iPad app that turns incoming audio into real-time waveforms and spectrum visualizations.

It works with the microphone, an external audio interface, or audio streamed over your network. There are several customizable visual styles, plus an Audiophile Dashboard with tools for exploring levels, frequency content, and stereo imaging.

The idea is to give you something interesting to watch while listening, with audio analysis available when you want to look more closely at what you’re hearing.

I’d love to hear your thoughts. Would you use something like this alongside your listening setup, while making music, or for live audio? What would make it useful to you?

Hi everyone.

I built sketchit.lol

SketchIt is a platform that allows you to draw on an infinite canvas- we're gonna be taking a huge snapshot of the whiteboard on January 1st, 2027. The whole point of this is to capture the future nostalgia of being in 2026 in a bottle.

You can invite friends to "Boxes", which are permanent squares on the canvas that allow you to invite your friends to have little reserved spots on the board where you can add stickers, music, fun text, images, (filters on those images) and so much more. Invite your friends, family, and coworkers to reserve your box for the year.

This is a fresh launch.

TLDR: A while ago I built a website to capture all AI deals and Asia related ai development. It is here. From June this year I see an increased number of visitors to my website. To be honest SEO didn’t really work for my site at all. It didn’t get index in Google as well because they actively deprioritise websites with scraped content. My investigations find out that my website is mostly visited by bots. But the question is why bots visiting my site consistently and in increasing numbers ? I can see the number is even growing. I even put up a waf to block certain bots.
So my final question, given that bots have an interest over this, can I convert this interest to humans as well ? Or is this how dead websites look like ?

I was tired of switching between a chat UI, curl, network logs, and raw SSE events whenever an LLM response was slow or malformed. So I built TurnStage as a personal open-source project.

It keeps the chat, HTTP request, TTFT, raw and normalized events, replay, and test evidence together inside VS Code. It also supports repeatable functional tests and bounded multi-turn adversarial cases. Timeouts and incomplete evidence never count as passes.

The project is still a public preview. I would really value honest feedback from anyone who tests streaming chat or agent APIs, especially about setup and unfamiliar event schemas.

GitHub: https://github.com/boloagegit/TurnStage VS Code Marketplace: https://marketplace.visualstudio.com/items?itemName=turnstage.turnstage