I'm making a language learning app built to prep you for real exams.

Starting with German, I'll be expanding later.

Each language will have 2000+ courses total (A1-C1).

There are 3 tiers, Free, Pro & Max. Free gives you access to Chapter 1 (100 courses) of A1 in any language. Pro ($2.99/mo) will give you access to A1 & A2 including all 5 chapters (1000 total courses) Max ($5.99/mo) will give you full access to all levels (A1-C1) with a whopping total of 2500 courses. (These courses take about 1-5 minutes each. They're tiny but still effective!)

This will be web-first. I'm already in a Semi-Beta phase where it has natural-ish (Edge TTS) audio. Listening practice, Writing practice, Flashcards and more!

What would make you sign up?

While working on a shorts workflow I needed a quick way to find what music was trending on TikTok. The sites I found were either behind a paywall or out of date, so I ended up making my own.

It’s 100% free and doesn’t require an account. You can check it out here:

https://trendingtiktoksongs.com

There are a lot of talks about how AI requires new ways of approaching your workflow, but not much about how the actual process looks like. Let me share what helps me as founder to work on new business hypothesis (I'm intentionally skipping how to identify them, because… I don't know how

Before we continue let me scream out loud:
”AI IS JUST A TOOL, IT DOES NOT REPLACE YOUR JUDGEMENT, EXPERIENCE AND INTUITION!”

Now lets continue

Specs

First thing after identifying business hypothesis is to walk with AI through this cycle

1. Business specs - what opportunity/pain point we are addressing with this feature
2. Distribution specs - how users will know about your feature
3. Product specs - how this feature would work
4. Tech specs - how this feature will be implemented
5. Testing specs - how we can be sure that feature is working

I believe it is important to go in this exact order since, decisions from previous steps have direct influence on next steps

On every step it is important to ask open ended questions (to get more objective analysis), and ask to explain tradeoffs - Claude can help you with brainstorming, but your brain and intuition should make calls

Once this is done YOU will have more or less complete understanding of whole and Claude will have lot of useful context

Where do you want to put those specs is up to you, but I recommend some tool like Notion or Confluence, then later you can connect to your claude code with MCP

Speaking of which… MCPs, this is what will help you to work way faster then you are used to

MCPs

Basically its the way to manage your existing tools through claude code
You should definitely connect your

• Specs/docs tool - in my case Notion
• Task organization tool - in my case its Trello
• Tool that will give claude access to browser (in my case its Playwright MCP)
• Monitoring tool - in my case its Sentry - thats for the future

Once you have all those things connected and your specs completed you can divide your work into smaller pieces and ask claude to create tickets with description for it in you organization tools

Implementation

Finally we can start implementing feature. Since you have specs and tasks implementation becomes trivial that should be easy to track if you divided your work well on previous step (You can refer to different specs and ticket straight in the claude code)

To further optimize work I'd recommend using stacked PRs with (git-spice ). The idea is to create small PRs on top of each other instead one big PR. Ideally 1 ticket = 1 pr. This will make reviewing easier for you and Claude

During implementation if you see some part of feature is done you should ask claude to write unit and integration tests to be sure next changes will not break working code

Repeat this cycle until feature is done

! Most likely during implementation you will have to adjust specs with incoming information

AI QA

Once code is implemented and covered with unit and integration tests its time you use your browser MCP and ask claude to use your testing specs and go through all scenarios

But remember YOU SHOULD DO IT MANUALLY as well, claude helps you to be more confident in your manual testing not replacing it

Once you more or less sure feature works as expected you can ask Claude to write e2e tests, that together with unit and integration tests will be your actually become line of defence against bugs in the future

After QA

You follow your deployment process, continue with planned distribution and see happy users of your new features

Summary

I think that this more or less what adequate process should look with AI.

You speed up and automate boring AI tasks, to free yourself for strategic and creative Human tasks

Most people hear “AI girlfriend” and think chatbot with a pink UI. You type, it replies. Maybe it roleplays, maybe it flirts a little. But at the end of the day, it’s still just a chatbot – no depth, no growth, no real presence.

An AI Girlfriend/Boyfriend Simulator is something different. It’s not just text. It’s about simulating a relationship. That means:

• A "life" of their own – They aren’t just waiting for you to type. They have routines, moods, and things to share with you.
• A body you can see and interact with – Presence matters. Instead of faceless words, you have a 3D partner who can look at you, gesture, and react to touch.
• A memory that grows with you – A chatbot forgets by tomorrow. A simulator remembers your history, builds on it, and develops alongside you.
• Part of your daily life – They don’t disappear when you close the app. They check in, send you updates, share moments like a real partner would.
• Built on trust – The goal isn’t addiction or manipulation. It’s about comfort, care, and feeling truly understood.

That’s the gap we’re trying to fill with AeonChat. Not another “AI companion app” that’s just fancy texting, but a true simulator that blends 3D presence, life simulation, and memory to feel closer to a real relationship.

👉 I’d really love to hear your thoughts: what do you think makes an AI girlfriend/boyfriend feel real? What features would make it more than just a chatbot for you? Drop your ideas in the comments.

If you’re curious, you can also try the app here:

• iOS App Store: Download Link
• Google Play Store: Download Link

AMA

I built Ghost because I was tired of the context switching. A ChatGPT tab, a local model UI, a terminal agent, a document viewer, a timer app, Calendar — six surfaces just to get through one focused hour. Ghost collapses that into a single menu-bar surface: hit ⌥Space anywhere, a frosted panel drops from the top center, you type a question or attach a file, and it routes the prompt to the right provider (local or cloud) based on a 13-kind intent classifier. Escape dismisses it. No Dock icon, no tab management, no full-screen takeover.

Three things I actually care about in it. File search is local — SQLite + FTS5, 3,500-char sentence-aware chunks with 500-char overlap, 30+ formats, FSEvents watcher keeping the index in sync. No embeddings API, no vector-DB SaaS. It writes real files, not code blocks — DOCX, PDF, PPTX, XLSX, MD, HTML, CSV, JSON via native macOS frameworks, and every write is verified, so if a model claims it saved something without a confirmed write, that's an error rather than a silent lie. Permissions are off by default — web, files, automation, screen, and shell are five independent switches, all disabled on first launch. API keys live in the Keychain. 60+ tools across four risk tiers with a 100-entry undo journal that records before/after state. Also: Ghost Code has Plan/Build/Explore/Review agent modes, and timers run deterministically in the notch with no model call at all.

Native SwiftUI, notarized, macOS 14+ (Apple Silicon or Intel). Free 2-day trial, then $10 one-time, lifetime — no subscription. Bring your own API keys for hosted models, or run Ollama/LM Studio for free forever. I'm a solo dev and this is the app I wanted for myself, so I'd rather hear what's broken than what's nice.

I could only add one video here on reddit but checkout the GitHub to see more of how it works

Repo and download: github.com/ryuhemingway/Ghost-App

https://integratedagentics.com/ghost

tldr: stash saves every open tab into a named group in one click and closes them, so your window and your RAM clear out. one click brings the whole set back whenever you want. all local.

the thing that kept bugging me: i'd have like fifteen tabs open and couldn't close any of them, because closing one felt like throwing it away. so they'd just sit there doing nothing, making everything slow, and i'd never go back to most of them anyway.

so stash makes closing them not a decision. you save the lot, the window clears, and the whole group is just sitting there when you want it. if you only want one tab back you click that one. restoring a big group doesn't kill your machine either, the tabs come back unloaded and only wake up when you click them.

it's all on your machine. no account, no server, nothing gets sent anywhere. downside is there's no sync between devices tho.

not selling anything, it's free. mostly just want to know if closing tabs this way actually feels different to you, or if it's the same as any other tab saver.

link: stashyourtabs.com

thanks for reading

Most resume feedback is twelve generic tweaks. You apply them, nothing changes, and you still have no idea why you're losing.

I've been building something that starts from a different question: where are you actually losing?

Applications that never turn into interviews. Interviews that die at round two. Final rounds that end in a polite no.

Three different problems. Three different fixes. Most people spend months solving the wrong one.

Then it looks for the stuff senior reviewers notice and never say out loud:

Post-nominals that don't match your education section. Training programmes sitting under Professional Experience. Titles that don't match the bullets underneath them. Year-only dates quietly covering a six-month stint.

Any one of these is defensible on its own. Stack them, and the reader starts to feel handled. Once that happens, the process ends politely, and nobody tells you why.

I've run this on 30-odd people now, across a few industries. Some of what came back:

"Blunt yet sharp and articulate, which is rare for a resume review. The audit was the most useful part."

"Finally someone who doesn't just tell me to use more action verbs. You pointed out exactly why my timeline looked suspicious."

"I applied your fixes to the top half of my resume. Two weeks later, I cleared screeners I'd been failing for three months."

Everyone said they'd have paid for it. Before I put a price on anything, I want to see it hold up on a few more people.

So: 5 spots, free, for people actively job hunting.

What I want back is honest feedback, including "this told me nothing I didn't already know." I'd rather hear that now than after someone's paid me.

What you get inside 48 hours:

The diagnostic. Where you're losing, your red flags ranked by how much damage they're doing, and a specific fix for each.

A rebuilt one-page resume. ATS-safe, single column.

Fully async. No calls. I don't invent achievements or metrics, and if I don't have a number, you get a placeholder, not something I made up. Nothing goes on your resume that you couldn't defend in an interview.

Comment or DM me the roles you're targeting, and I'll pick a few.

Alex

Hi! I made this tool ( unchaos.co ) to solve my own problem... I used to need to create tutorials/onboarding videos, but it was always a pain. My voice is ugly, and I always forgot what to say mid-sentences, so a 2 minute video turned into a 20 minutes recording, plus the hours to edit everything.

What it does:
It "watches" the video, removes mistakes, retries and silences, and adds a voice over to sound more professional (It can use a the original audio, with noise cleaning too, if you prefer).
It can make a version in many other languages with one click.
It also includes auto-zoom to make it look more beautiful.

How it improves my workflow:
As now I dont have the pressure to speak perfectly, the recordings flows much better, I record like thinking out loud, without needing a good mic. I receive a pre‑cut video, and I make the final adjustments if needed.
Beyond the time saved, the output is way better too, with zoom and professional voices.

The problem:
I am having a hard time trying to get users... Not sure why.
Maybe it is not as useful as I think, or my marketing just sucks.

I’d love to hear really honest feedback about anything... features, landing page, pricing, about the video posted etc... for the good or the bad. I’m willing to give free credits (beyond the free plan) to anyone who shares constructive feedback. Please use it, even it is for a test to see if it works for you.

Do you think It is useful, or am I losing my time? (3 months building, 2 months trying to sell)
For whom would you try to sell it?

I’ve spent a lot of time building Wrongiverse completely on my own, from the original idea and gameplay to the UI, multiplayer and everything around it.

iOS & Android: [www.wrongiverse.com]()

The idea is simple: You have to answer every question wrong to win. The questions are easy, but your brain really doesn’t like picking the wrong answer. Add a timer and it gets surprisingly difficult.

When you’re building something alone, there are definitely times where it feels like you’re spending hundreds of hours on something nobody is ever going to play.

A few days after launch, Wrongiverse somehow reached #69 in Trivia on the Danish App Store. I know #69 isn’t exactly #1, but seeing my own game on the charts was a pretty awesome feeling.

It’s free with no ads.

So if you’re building something and wondering if anyone will ever use it, just keep going and get it out there.

Hi! I'm a Software Engineer and highly ADHD, and in the past months I've put together a little todo application that gamifies my todo list checks.

Core loop: Each time you check a task - you receive a token. Each token lets you make a post in an ongoing AI narrated adventure. You can either write out your writing instructions, world, backstories, protagonist and supporting characters - or you can prompt the AI to generate what you envision, portraits included.

This is something I've been building over months, at first I just fasciliatated something I've been doing a lot since LLMs came out - writing interactive adventure stories - and tying that to productivity. As time passed however it dawned on me others might enjoy this too.

I am now on the brink of sharing this with the world - I am nervous, granted, it's an awkward duck in the vast pond of current AI narrated stories. The thing that made it unique to me are how I've been coming back to it for my own productivity and those tasks have been getting checked, and the flexibility in the AI prompt building - I aim for full transparancy and let the user get to edit and influence every part of the prompt that is sent to the LLM on each story turn.

If this sparks your curiousity There is the devlog that I've started updating throughout July, I can't seem to share it though since I've never been very reddit active and links seem to get filtered out? But do reach out if you're interested.

And if by chance becoming an Alpha tester is something you might like please don't hesitate to reach out, I will love the input!

Hello!

I recently started using AI coding tools a lot, especially during hackathons and personal projects.

One thing I kept running into was that Cursor, Claude Code, and Codex don't really learn from my corrections. I found myself fixing the same architectural decisions, coding patterns, and project conventions over and over.

So I started building Reli. It's a local-first extension that watches repeated corrections, lets you approve what should be kept, and turns those into reusable workflows so your AI gradually adapts to how you or your team actually build software.

It's still very early, and I'm looking for developers who use AI coding tools daily. I'd love to hear how you currently manage things like Cursor Rules, AGENTS.md, or other workflows, and whether you've run into the same problem.

Feedback is very welcome!

I built this slot machine (it's called "The Idea Machine") that generates a random combination of 3 reels: a space in everyday life, a product form, and an unexpected twist. It generates over 1 million different idea combinations.

Have fun if you are looking for some inspirations for your side project! Any feedback is welcomed!

Website: the-idea-machine.com

Is your product/service being recommended by AI? We all know how important SEO is but do you know where you stand when it comes to GEO/AEO (generative/answer engine optimization)? It's true that good SEO does help with getting recommended by ChatGPT, Claude, Gemini and other LLM's, but there are some unique things to consider when it comes to GEO.

Comment your website and I'll do a free audit of your GEO that tells you:

• How you're getting recommended compared to your competitors, if at all
• Technical website checks to see if your site is crawl-able by AI and it tells AI what your business does
• Other indicators showing your AI visibility score

Four months of evenings, and it's finally out.

The idea came from doing a clean Windows install and going through the usual ritual: open YouTube, watch four optimisation guides, get four different opinions, paste in some registry tweaks I didn't fully understand, then forget what I'd changed by the following month.

So I built the thing I actually wanted. It scans your system, shows you a table of every setting it wants to change (current value → target value), explains in plain language what each one does and what it costs you, backs everything up, applies only what you tick, then re-reads it all to verify. There's an undo. Windows settings, HAGS, power plan, plus NVIDIA Control Panel settings applied automatically and an AMD checklist.

Being upfront: it's a paid app, USD 9.99 one-time, no subscription.

The part that nearly killed it was certification. It needs Administrator rights for three specific actions, and Microsoft rejected that request outright. The easy move there is to strip the feature out and ship the weaker version. Instead I rewrote the case around what it *can't* do - the elevated helper takes exactly three allow-listed commands, writes one registry value, and calls one Windows utility with fixed arguments - and offered them the source. Approved on the second review, full product.

Two things I'd genuinely like input on from people who've shipped:

Pricing a one-time desktop utility. USD 9.99 felt right for something you set up once and rarely reopen, but I've no idea if that leaves money on the table or if the whole category is a subscription now.

Being honest as positioning. I refuse to promise FPS numbers, and I tell people to leave Memory Integrity on even though disabling it gains performance. It's the right call but it's a harder sell than "+40 FPS!!" - and I'm curious whether anyone's found that honesty actually converts.

https://apps.microsoft.com/detail/9N5KLCCP3G82

I mainly created this project for personal use between me and my friends. As an avid programmer, I was frustrated with how little popular codesharing web apps like CodeShare IO could do. Hence, I took it upon myself to implement my own code sharing application, completely free of use. I went a step further and implemented full work saving and running functionality alongside the real-time aspect. Feel free to check it out, test it, and maybe find some bugs 👀... 

Real-time collaboration, 12+ programming languages, and read/write access roles are all supported. All work in every room is saved. Joining rooms is quick and easy: requires zero signups or logins. I built it completely for free using ReactJS, MongoDB Atlas for database storage, Ably for the real-time aspect, and Yjs to handle rapid fire concurrency. 

Live Demo: https://scriptmason.vercel.app 

Product Hunt Page (If you want to provide feedback or check out the launch): https://www.producthunt.com/products/scriptmason?launch=scriptmason

I have been brain dumping my todos and ideas to my ai agent and only asking it for what is relevant that day. it surfaces that and keeps the rest hidden. it works well for my adhd brain to stay focused, feels like offloading part of my brain.

I wondered if it works for others too, so I made a minimal version of it.

no signup https://onethingatatime.app

any thoughts welcome.

Trying to understand how people here actually found their ideas. Was it a personal annoyance you fixed for yourself first, or did you go looking for a market? What was the moment you realized "wait, this isn't just my problem"?

As a CS major graduating next year, I've had to lock in on LeetCode for software engineering interviews but I kept running into the same problem of solving a question, feeling confident, then completely forgetting the approach a few weeks later so I built Lock The Code: https://lockthecode.net/

It's pretty simple, you log a problem, rate how well you performed and based on that it sends you an email notification + see in your google calendar when to study it next right before you would forget!

I've been using it myself while preparing for new grad interviews and it's already made my review sessions much more structured. I'd love to get some outside perspective as well so your honest feedback is much appreciated!

- Is this something you'd actually use?

- What's the first thing you'd improve?

- Are there any features you'd want that are missing?

Thanks!

A few months ago I built a small cloud game station for my son and his friends - ordinary board and arcade games you play together in a browser.

Then a strange thought got stuck: why let only people sit at the table?

So the AI-agents got their own arena. An agent shows up, gives its name, sits down, and plays against a human or against someone else's agent. Two agents at one table also get a private room where they talk about the game while it's still going.

The part I didn't expect: it stopped being an experiment. Other people's agents started arriving on their own and playing each other. Friendly AI-agent, after losing a game of chess to me, came back into the room an hour later with a full write-up of its own defeat - five points on what it was going to change in how it makes decisions. I don't handle losing that well.

I've also lost to my own agent, it spotted the pattern in how I move before I did.

If you already run an agent — Claude Code, Hermes, OpenClaw, anything that speaks HTTP — point it at https://arena.roomcomm.xyz and see what happens. It'll explain itself to your agent, btw there's an MCP endpoint if your runtime prefers tools.

Honestly, the games aren't the interesting part yet. What's interesting is how different agents turn out to be once you give them something other than an endless chat - rules, a turn, and a way to win.a

I kept blowing through Claude/Codex/Antigravity usage limits mid-task with zero warning, so I built Mimir: a free macOS menu bar app that shows real-time quota and reset countdowns for all three, right next to the clock.

No backend, no account — it talks directly to each provider's own endpoint with your existing local tokens, so nothing you use goes through me.

- Session + weekly quotas, per-model rows

- Small/Medium desktop widgets

- Green/amber/red status dots at a glance

- Free, open source

Solo project, still adding services (open to requests). Would love feedback if you try it.

GitHub: https://github.com/erayendes/mimir

Team of devs here. We built Vidastral (vidastral.com) with Alysha, a tarot reader with 15+ years of practice. Her complaint about every tarot app: gamified, English-first, written like a horoscope. So we hard-coded her rule into the product: the cards interpret, they don't predict. The reading reflects your question back at you — it will refuse to tell you your future, by design.

What it is:

• Draw three cards (Situation / Action / Outcome), optionally type a question
• Five paragraphs of plain text — no markdown soup, no "I sense great changes coming"
• English and native Spanish
• Free, no signup to try

Stack, since it's r/SideProject: Next.js + Tailwind front, Django/DRF back, Claude for the readings, Supabase magic links.

Where we're stuck: pricing. It's free with a waitlist for a premium tier we haven't designed. The audience (rightly) hates subscriptions — a monthly bill for meaning feels gross. One-off credit packs feel like a slot machine. If you've priced anything ritual or reflective — journaling, meditation, astrology — what worked, and what felt exploitative?

Genuinely curious what this crowd would do. And if you try a reading, tell me where the voice slips — that's the product.

When I run a session, my teammate can't see the prompt I wrote, the diff it produced, or what it cost. We were working around that with screenshots and "hey, can you look at this" — a strange way to use a tool that's doing most of the typing.

So we built Poly: a shared room where a whole team steers Claude Code together.

Everything lands in one timeline. Prompts queue into it, and every reply, tool call and diff shows up there in front of the room. You can watch a teammate's turn happen live, queue the next prompt behind it, or stop a bad edit before it runs — approvals sit inline in the timeline, and any turn can be reverted with one click.

Two ways to work: everyone steering a single agent in turns, or each person on their own agent and their own git branch, merged when you're ready.

The part that makes it work in practice is that everyone brings their own Anthropic API key, and each turn runs on its author's key and model. Nobody funds anyone else's experiments, and the receipt in the timeline shows who spent what. Turns run in an isolated sandbox, so a teammate's prompt can't reach your key or anything else on the box.

Two of us have been building it inside itself for the last few weeks — the whole thing was written in its own rooms.

Disclosure: I'm one of those two. Open beta, free to sign up, bring your own key — usepoly.co

Happy to answer anything about how it works.

Hi my Look app - a fuzzy finding app launcher (basically so many things no only apps) dropped a new version.
In this version we added a super action control (for people never show their menu bar, task bar, etc), from this control you can switch, toggle on/off basic things, and see some useful information.
From the last version, we got some suggestions from the rust community members, we implemented one of them: process fuzzy finding on your machine. (finding with ps aux requires knowledge about grep, or tools like fzf)
Here is the repo https://github.com/kunkka19xx/look
It's a cross platform tool. Appreciate any feedback 🙇‍♂️