What it is: a browser workspace for architecture and interior studios. You bring plans and references onto shared sheets, measure at scale, comment on the drawing itself, and agree the next revision with your team or client.

What's in the video (a real run, not a mockup):

1. A plan on an A3 sheet, the existing kitchen photo and a material board beside it
2. Edit with AI on the photo: a prompt, the material board attached as a reference, and the price shown up front. About 30 seconds later the renovated concept is on the board next to the original, which isn't modified.
3. Then the board agent turns a one-line request into an editable A3 options sheet: existing vs. proposed, plus material notes

Why I built it: a friend's studio ran design reviews across Miro, a PDF markup tool and chat. Canvas tools aren't precise enough for drawings, and PDF tools aren't collaborative enough for design conversations.

Also works today: PDF/DXF/image/3D imports, optional scale per sheet or drawing, measuring, movable tracing sheets, real-time collaboration, pinned comments with @mentions, and ordered PDF export.

Stack: React + TypeScript on Cloudflare Workers, with Durable Objects for live sync and D1 + R2 for data and private uploads. Image edits use Google's Nano Banana Pro through Vertex AI. I replaced a licensed canvas library with my own editor and sync layer.

Where it's at: early access and free for now. I haven't validated willingness to pay, and I'm looking for studios or students to try it on a real project.

Try it: https://calque.si

Two things I'd love feedback on: is the AI genuinely useful in a review workflow or just a gimmick, and what would stop you moving a real review into it?

I made this to control my smart home from a small 3D model of my flat, and thought some of you might like it. Here’s what it does:

• Build your home in 3D in the browser. Trace rooms on a grid and drop furniture from a catalog, with a live 3D preview.
• Objects bound to real devices. Clicking a lamp toggles the real light. Lamps light the room and cast shadows, and the sun moves with the time of day.
• Auto-generated widgets. A side panel with a widget for each device, grouped by room.

Free, open source, installs through HACS: https://github.com/CarlesRojas/ha-diorama

Feedback welcome!

i made a little tracker app for myself about 7 years ago and it's been logging ever since. looking back at it, it's not really health data, it's a life story - you can see house moves, new jobs, kids being born, just from where the nights are.

so i've been turning it into a real app, mymo. it builds a timeline of your life from what your phone already knows - places, trips, photos, workouts, sleep, day summaries. then there's a chat where you can ask about it ("what did i do exactly a year ago", "how's my sleep been"), and it slowly learns about you so the answers get better.

everything runs on the phone, the data and the AI. no account, no server, nothing uploaded. phones know so much about us that it felt like the only way to do it. the downside is a big download, around 3gb, because the model lives in the app.

it's been on iphone for a few weeks and android just got approved for open testing this week, so i'm looking for testers on both:

https://mymo.app/invited/2MemMY/

iphone needs ios 26. android needs android 12+ and at least 6gb ram.

(the video is demo mode with made-up data, not quite ready to share 7 years of where i've been)

what i'd love to know:

• does the timeline look right for your own days?
• what was the first thing you asked it, and was the answer any good?
• what would make you open it again tomorrow?

reply here, dm me, or shake your phone in the app for a feedback form. testers get it free forever.

About a year ago I started planning QueryCase, where you learn SQL by working detective cases instead of grinding tutorials & videos. It took a while to get off the ground, and longer than I'd like to admit to actually start building the idea, but it finally went live in June. I build it solo and I'm merging PRs most days.

5 months in:

• 2,500+ people have signed up, across 117 countries
• 160+ paying customers and ~£2,200 in revenue, on a one-time £14.99 price with regional pricing
• About 65,000 queries written and graded
• Over 16,000 cases, drills and exams solved
• College in US using the platform for training students for CompTIA Data+ Certification
• £0 spent on ads so far

Where the growth has come from:

Most of it has come from Reddit. My best signup days have all followed update posts in learning subs, and the comments have shaped half the roadmap. I don't like to spam, so I only post when there's something real to share. In between, organic search and Google have kept things ticking over.

The users who stick around and pay are almost all from one niche: people learning data. SQL, Excel, breaking into analytics, switching careers. That's who the product is built for, and it shows in who converts.

Since launch it's grown past just SQL. An Excel course was never part of the plan, but people kept asking for the same detective approach for spreadsheets, so I built it. It has 57 cases on a spreadsheet that runs in the browser, and people have solved over 2,300 of them.

In the next few weeks I'm launching a Python for Data track, with real Python running in the browser, moving from the basics into pandas.

The goal: I have a very ambitious target of 5,000 users before the end of the year, which means doubling in about two months. Reddit alone won't get me there, so I'm weighing up ads for the first time, and this is where I'd love opinions from people who've done it:

For a niche like people learning SQL and Excel, have ads (Reddit, Google, Meta) ever paid off for you on a low-price one-time product, or did they just burn money - and which platforms did you find to be most successful?

If you were in my position, where would you put a small first test budget?

Any other feedback around the site which puts you off would be great as well, cheers!😄

querycase.com

I've been testing three tools and I'm curious if there's a better alternative.

VidRush (.) ai has the best quality so far, but it's expensive when you're testing new niches.

Framitor (.) site is much cheaper at around $0.15 per minute with similar quality in my experience. The downside is that a 10 minute video takes around 70 minutes to generate.

Pictory is fast and affordable, but it relies heavily on stock footage, which doesn't work for every niche.

I'm looking for a tool that offers a good balance between video quality, generation speed and price.

Have you tried any of these? Or is there another platform you'd recommend based on your own experience?

I started with local chat. The new milestone is a little production pipeline: an idea becomes a script, a voice, music and visual scenes, then one vertical MP4 with captions.

I’m the developer of LLM Studio Go. Video Studio is new in iOS 1.3, and I wanted it to leave room to make the result your own: edit the script and scenes, use generated images or clips, and bring in your own media. The models run on the phone after downloading them, with no generation-credit meter or AI subscription.

The Iceland media in this demo was generated on iPhone Air; the captioned reel was rendered again in the iOS Simulator. The promo is edited and waits are shortened.

Try a one-sentence video idea: https://apps.apple.com/app/llm-studio-go/id6815311113

Free with ads and optional one-time ad removal. Video is in beta. Generation speed depends on the device; choose model profiles and settings that fit its memory.

Would you start with an entirely generated story, or add narration and scenes around your own footage?

https://reddit.com/link/1xhiskk/video/wha7bm1d96yh1/player

I use Codex and Claude Code daily, and the most annoying moment is hitting a usage limit halfway through a task. You either wait hours or paste context into another tool by hand.

Moonfold is an open-source desktop and web workspace that runs the agent CLIs you already have (Codex and Claude Code today, with adapters for Cursor, OpenCode and others in beta) with your own logins. When one hits its limit, it stops the turn, writes a brief of where the task stands (plan, changed files, git status, the failing command), redacts secrets, shows you the brief, and hands the same thread to the next agent. The GIF in the README is a real run: Codex starts a bug fix, Claude finishes it.

It is a fork of T3 Code (MIT), which gave me the multi-provider base, worktrees and diff review. What I added: the handoff, usage tracking per provider, scheduled tasks, in built browser pane and computer access, plugins and memories, and a security pass (Supervised is the default permission mode).

Honest limits: it is a beta, builds are unsigned, Gemini CLI is not verified end to end yet, and the brief is only as good as what the first agent left behind. Nothing is proxied: each agent is your own local CLI, and there is no telemetry unless you turn it on.

I'd love feedback on the handoff brief what would you want carried over that isn't?

Windows, macOS, Linux. Beta, feedback welcome: github.com/Mr-Dark-debug/Moonfold

After we got the reverse engineer repo on github, people are reverse engineering all kinds of stuff, and ai is readily available for vibe coders to build stuff, so following this what do you guys think will be the future of new startups, like its a huge win for people us who want to customise and build different kinds of products for our use cases, but if we want to monetize them, there wont be a use case for that no? Want to hear opinions from people who are actively building stuff, instead of some generic group.

About 9 months ago, I launched my Android app, and it has finally crossed 10K installs.

Here are the numbers so far:

• 10.2K total installs
• $250 total revenue
• $0 spent on paid marketing
• 9 months since launch
• Android only

I know $250 in 9 months isn't a huge amount, especially compared to the success stories we usually see here. But reaching 10K installs without spending anything on advertising feels like a pretty good milestone.

The growth has been gradual rather than a sudden viral spike.

One thing I've learned is that getting downloads and actually making money from an app are two very different challenges.

I'm sharing this because we often see posts about apps making thousands of dollars a month, but not much about the smaller, more realistic journeys of indie developers.

For those who have grown Android apps organically, what would you focus on next: getting more users or improving monetization?

I'm building an iPhone app that listens to you speak and tells you how confident you sound. Everything runs on the phone, with no cloud. The problem is that I can't tell whether its scores are right without comparing them to real people.

So I built a small rating site. You hear 10 short clips of people speaking and rate how confident each sounds, from 1 to 7. Once each clip has about 7 ratings, I'll fit the app's scoring to them and test it on speakers it has never heard.

It takes ~7 minutes, needs no account, and you see how your ear compares at the end:

https://bitspeak-rating.pages.dev/?from=sideproject

Happy to talk about the stack (Cloudflare Pages and D1, free) or the method in the comments.

i've been building with claude code, and while it can build a whole page quickly but the output needs a lotttt of tweaking to actually look good. i end up spending so much time trying to explain what's off, and describing visual things in text just doesn't cut it for me.

so i built a chrome extension that lets me show claude what i mean instead of trying to explain it.

it's called moodbit, a visual workspace where you can collect references, point at what you want changed, and give clearer visual context.

if you're building with ai coding tools, i'd love for you to give it a try.

also, i'm curious: how do you currently tell ai what's wrong with your ui? long prompts? screenshots? drawing over things?

I was using one app for expenses, another for splitting bills, and occasionally my notes app to remember who owed me money.

At some point I thought, why is something this basic so scattered?

So I started building Tallune.

It's a personal finance app that puts expenses, budgets, bill splits, loans and EMIs together.

It's still early. There are things I need to improve, and I'd rather hear what actual users think than keep polishing it endlessly.

Here's what I've built: https://tallune.pages.dev

If you give it a try, I'd really like to know one thing:

Would you actually trust yourself to use this regularly, or is there something missing that would make you go back to your current setup?

Feel free to tear apart the UI too. I'm here for the feedback.

Hey everyone, I ve been using AI tools daily and kept running into the same frustrations no way to bulk delete old chats, no idea how close I am to Claude s context limit, and constantly retyping the same prompts.

So I built ToolDock, a Chrome extension that adds a smart floating toolbar across ChatGPT, Claude, Gemini, and Grok.

Here is what it does:

• Bulk delete chats across all four AI platforms from one panel
• Live Claude token counter with usage pace tracking
• Cross-AI handoff move a conversation from Claude to ChatGPT with full history
• Prompt library with / shortcut to reuse saved prompts
• Website theme engine (Dracula, Nord, Monokai, etc.) for any site
• Screenshot and annotation tool
• Lightweight local password manager
• Everything runs locally no account, no data uploaded

It's free and I built it solo. Would love feedback from this community.

Chrome Web Store: ToolDock

Hey everyone! 👋
I’ve been working on a little project called Subhaya, and I’ve finally put the website online.
The idea is pretty simple. We send birthday wishes, anniversary messages, festival greetings and other special-day wishes all the time. But I wanted to create something where people could find a greeting that feels a little more personal than just forwarding the same image or copying a message from somewhere.
So, I’ve been building a place for ready-made and personalised digital greetings for different occasions.
It’s still a work in progress, and I know there’s plenty I can improve. Getting the website to this stage has been a learning experience in itself, and now I’d love to hear from people other than myself!
If you have a couple of minutes, take a look and tell me honestly what you think. Is the idea useful? Does the website feel easy to use? What would you change or like to see added?
Here’s the website: https://subhaya.web.app/
I’m sharing it to get genuine feedback and hopefully reach people who might find it useful. Constructive criticism is very welcome. 🙂

I've been working on multiple software projects, and one problem I keep running into is remembering where everything stands.

Some projects are actively being developed, others are almost ready for release, and some have been sitting untouched for weeks.

GitHub is great for tracking commits and PRs, but I still find myself manually keeping track of overall progress, milestones, and what I should work on next.

I've been using a spreadsheet for this, but updating it gets tedious.

For people working on 3+ projects:

• How do you keep track of everything?
• Do you use GitHub Projects, Notion, spreadsheets, or something else?
• Is this actually something you struggle with, or do your current tools work well enough?

I'm exploring whether this is worth building a small tool for, but wanted to hear how other developers handle it first.

I've been building Swaraloom, an open-source, privacy-focused AI voice agent designed to run locally on Apple Silicon Macs.

The idea was to build a voice assistant without relying on cloud AI APIs for its main pipeline. I also wanted to understand the engineering behind the complete system, from speech recognition to speech generation.

What it currently includes:

• Local speech-to-text with Moonshine and Whisper options
• A local Qwen language model with tool calling
• Streaming text-to-speech using Kokoro
• Voice cloning with an explicit consent flow
• Encrypted conversation memory
• Sandboxed tools for files and approved commands
• Hindi speech generation and a web interface

A few measured results on an M3 Pro with 18 GB RAM:

• The main voice pipeline uses approximately 5.5 GiB of resident memory under the measured configuration.
• The first sentence can begin speaking in about 280 ms in the isolated TTS streaming benchmark.
• The complete conversational loop is still slower than I'd like, so reducing response latency remains a work in progress.

It's not perfect. Hindi speech quality needs more evaluation, the real-time loop has latency limitations, and some desktop packaging work remains.

I'm sharing the code because I'd appreciate feedback from people who build local AI systems, speech models, and voice assistants.

Repository: https://github.com/atulsinghhhh/Swaraloom

I'd especially appreciate feedback on the architecture, the model choices, and what you'd improve first.

Press ⌥Space in any app, talk, press it again, and your words are pasted where you were typing.

It runs Whisper on your Mac, transcribes while you speak, supports 99 languages, and keeps a local history of everything you dictated. No account, no subscription, no telemetry. MIT licensed, built with Tauri and Rust.

Download: Website

Source: Github

I'd love feedback, especially from people who dictate in languages other than English.

paste your app's address and it checks from the outside, using only what any visitor can download, whether the app is up and whether the Supabase backend behind it still answers. Free, no sign-up, about 20 seconds.

What it checks:

- whether the page loads, and whether the host is showing its own page instead of your app: "not found" pages on Vercel, Lovable, Bolt, Base44 and Firebase, Vercel's "paused" page, and takedown pages on Vercel and Lovable (if it doesn't recognise your host's page, an error page still shows up as down);

- whether the Supabase project behind the page still answers;

- whether a secret key (a Stripe secret key, an OpenAI- or Anthropic-style key, a Supabase service_role key) is sitting in the public code; it reports the kind, never the key;

- whether a Stripe test key or test payment link is live on a real domain;

- for apps on Supabase: which sign-in methods are switched on, and whether anyone can sign up without confirming an email (read with the public key your app already ships);

- on your own domain: whether the HTTPS certificate is invalid or expires within 14 days, and whether the domain registration expires within 30 days (where the registry publishes an expiry date).

Why I built it: I ran it, in a key-less mode, over 649 public apps from Show HN and two maker directories. Of the 303 with signs of being AI-built, 2 of 52 (4%) posted in the last 2 months are down, against 70 of 211 (33%) posted more than 6 months ago. The plain Vercel/Netlify apps rise too (4% to 21%), so it's about apps nobody watches. Many of the down ones are old demos, and most show an error page. The ones that worry me are the 31 of 86 Supabase-backed apps that load a normal page while their Supabase project is paused or deleted.

Try it: https://www.originpilot.site/check

The study, with its method and caveats, is linked from the page. The checker never logs in and never reads a table or a user account. It doesn't run your page's JavaScript, so "looks OK" isn't a guarantee. I'd love to hear where it gets things wrong.

I mainly use my Samsung smart monitor as a desktop monitor, so I wanted my HDMI inputs before the apps, without going through the bloated Samsung smart hub screen. That’s what started Prism. Inputs come first by default, but you can customize the order to suit your use.

I focused on getting the everyday things working properly: the physical Home button, starting after a cold boot, and switching HDMI inputs. These work on my setup, and app icons are pulled directly from Tizen’s APIs. I also worked through rough edges I ran into while trying arn0 and AeroTizen. I’m sure there are things I’ve missed, but I’ve spent a fair bit of time using and testing it.

For the look, I kept it simple and curated around 50 wallpapers from a few Linux distros instead of the usual gradients. Sharing it in case someone finds it useful, or wants to use it as a base for their own version. Check the tested-device details before trying it, and if you get it running on another model, do share how it goes.

GitHub: https://github.com/shriram-ethiraj/prism

Tested on: Samsung Odyssey G70B (LS28BG702EWXXL)

Pick a window on your PC from your phone and it shows up live, with sound. Tap to click, two fingers to scroll, type with the phone keyboard. Works on the same Wi-Fi or from somewhere else.

While you're watching, you can also just talk to the PC:

• ask its assistant something (same model, same memory as on the desktop)
• tell it to do things, like "play Believer on YouTube", or "email me the Q4 project report" (it finds the file on the PC, attaches it in Gmail and sends it; that part of the video is a real recording)
• dictate into whichever window you picked, and it gets pasted there

The part I spent the most time on is not making this scary:

• the PC has to allow each phone, once
• seeing windows is its own switch, and it starts off
• view and control are separate; you have to switch to control on purpose
• in live view, tapping a button that sends, buys, posts or deletes asks on the phone first (voice commands just do what you asked, unless you say "let me check it first")
• the video goes straight between the two devices over WebRTC, and only goes through a relay when there's no direct path. Nothing gets recorded or stored on the server

Back at the desk it also does meetings: hit record before any call, no bot joins, and it writes down who said what (your mic and the call's sound are kept as separate lanes). When you hang up you get notes with decisions and follow-ups, and you can ask it questions about the meeting later. Works with any meeting app since it just listens to the PC.

The AI bits can all run on your own PC with no API key (local speech models, llama.cpp, or your Ollama / LM Studio).

Limits, honestly: live view and control are Windows only for now, and the phone app is Android only (APK from the site).

Repo: https://github.com/ishangautam7/Talvio Android: https://talvio.sentramind.dev/download/android

What would you use it for first? I keep going back and forth on what the default screen on the phone should be.

every AI avatar tool claims it’s the most realistic and the only way to check is to pay for each one. which got annoying pretty fast lol

so we built Avatar Arena. you type a script (or record like 15 sec of yourself) two different AI tools make your video and you just pick whichever looks better and download it. it’s completely free

would genuinely love to know what you think: arena.newmeasure.ai

Hi everyone, I am starting something new along side my job but currently I have no ideas and explore the world, to find ideas I have some option to find ideas which is best according to you:

1. Using Ai.

2. Inspire from others and replicate ideas but not copy.

3. Talking with people to understand problems.

I think there are more option but right now I know these 3 If you have other way you explain and tell me which option you will chose?

Hello everyone!

I've built a platform for posting about needs of people that's equipped with analysis tools that can help get insights from social feedback. Ideally, this place can be a full on base of potential business or feature ideas for entrepreneurs that are actually sourced from the public. But I'm alone at this, and I desperately need the first activity, a couple dozen posts just for it to have any value on launch.

Here's the site if anyone wants to participate:

https://www.servimos.net/home

Also I'd be very grateful for any feedback and criticism. Especially if something breaks. Thanks to everyone

I built Recall, a native macOS app that turns your Mac’s notch into a useful productivity workspace.

Instead of switching between multiple apps, Recall brings several everyday utilities into one place:

🎙️** Voice transcription — transcribe system audio and microphone input locally.
📋 Clipboard history — quickly access copied content, including OCR.
🎵 Music HUD — convenient music controls.
📁 Temporary file shelf — keep files handy for quick access.
🌦️ Weather and widgets — useful information at a glance.

One feature I particularly wanted was meeting transcription without having to send a bot into the meeting.

I built it natively for macOS.

I’d love to hear your feedback! What other features would you want in an app like this?

Website: https://recall.neuware.in/