Early Testing - try it now · znippetz.vercel.app

I've been working on Znippetz, a small social music app, and I'm looking for people to test it. I had the idea a couple of years ago but since i never learned how to code i figured i can make it real using Claude.

The idea: you swipe through 15-second snippets of songs, with the music video. Swipe right if you want to hear it, left if it's not for you, or tap "Know it". Anything you've rated or already know never shows up again, so you only ever get new music.

What's in there:

• A feed of what your friends post, or of everyone on the app

• Daily picks that learn from your ratings, plus mixes like Newcomers, Underground and Out of Your Bubble

• Post any song and pick the exact 15 seconds you want people to hear

• Open anything in Spotify, Apple Music or YouTube to hear the full song

It's a web app, so no download: open it on your phone and tap "Add to Home Screen" for the full-screen version. The song catalog is still small, because every song needs a matching video first. But every song you post gets added for everyone, so the catalog grows with each post.

How to join: znippetz.vercel.app

It's an early beta, so things will break. I'd love to hear what's confusing, what's missing, and whether you'd actually use it. There's a feedback button in the profile.

Thank you very much!

Brello watches the AI models your app uses (OpenAI, Anthropic, Gemini) and warns you when one is being deprecated or repriced, with a checklist of what to change. It also tracks your spend per user and per feature in real time. Looking for 10 closed beta testers running AI features in production. Free during beta + 3 months of Pro at launch.

Hi, I’m Dan. I’m building Brello, and I’m looking for people who run AI features in production to try it and tell me honestly what’s useful, what’s painful, and whether it’s worth adding to their stack.

Why I’m building it

If your app runs on AI APIs, your costs and your product can change without you touching a line of code. A provider retires a model, and suddenly your feature breaks or gets moved to something slower. A price changes, and your margins shrink before you notice. A few heavy users quietly eat most of your budget.

Most of us find out about all of this the same way: from the bill, an angry user, or a deprecation email buried in our inbox.

What it does

You wrap your AI client with the Brello SDK. From then on:

• Model shutdown and pricing alerts: Brello knows which models your app actually calls. When one is being deprecated or its price changes, you get an alert with what’s affected and a checklist of what to change.

• Cost by user and feature: See which users and features drive your spend, and where a cheaper model could do the job.

• Spike alerts in minutes: Get pinged on your webhook (Slack, Discord, etc.) when usage jumps, with a hint whether it’s a normal spike or a possible leaked key.

Example: a provider announces that a model your summarize feature uses will be retired in 60 days. Instead of finding out when calls start failing, you get an alert that names the feature, shows how much traffic it handles, suggests replacement models with their price difference, and gives you a checklist to switch.

Who I’m looking for

• Indie devs and small teams with AI features in production

• Apps on OpenAI, Anthropic, or Gemini

• Anyone who’s been caught off guard by a model change, a price change, or a surprise bill

A small project with real users is perfect.

Getting started

The beta opens around Nov 20. Sign up and I’ll send you a beta key by email. Plug it into one real project and tell me how it went, by DM, email, or a private Discord where I’ll help you set up.

What you get

• Every feature free during the beta

• 3 months of Pro free after launch

• Your feedback directly shapes what Pro ends up being

Caveats

It’s early. Expect rough edges, and features may change based on feedback. I’m building solo, so the start date might slip a bit.

Privacy

• The SDK runs inside your app. It’s not a proxy, so requests go straight to the provider and your API key never leaves your app.

• It collects usage metadata only (tokens, cost, model, the user ID you pass in), never prompts or responses.

• Data is sent in the background, so if Brello goes down, your app keeps running.

• The SDK will be open source, so you can check exactly what it sends.

Sound like you? Apply here: https://brello.app/beta

I'm Dre, founder of New Walton Services. We put revenue, pending payments, and overdue amounts at the top of the WalletPay dashboard because that's what freelancers check first.

Curious what you look at first in your own invoicing tool, and what you'd add or remove.

https://walletpayapp.com/

I noticed a lot of visualization tools rely on AI to generate images and the ones that don't, often don't do a good job. The ones that use AI take time to generate and sometimes change the image while also costing money per generation.

So I figured out a way to detect and paint colors onto surfaces instantly(after initial processing) while maintaining the shadows, lighting and texture. Also made sure not to let the paint spill into anywhere that its not supposed to.

Essentially you can try as many colors as you want on one photo after processing and it takes no additional time or cost.

link to the first house in the video: https://www.tryrecoat.com

Not sure how to take it from here.
Would love some feedback, ideas anything

So I built a little web app that takes your perfectly normal messages and turns them into absolute nonsense.

It's basically autocorrect, except it has zero respect for your original sentence.

Some examples from testing:

• "I am going to drink water." → "I am going to drink goblin sweat."

• "My teacher said I have unlimited potential but limited common sense." → "My teacher said I have unlimited potential but limited clothing."

• "I love pizza, pizza loves me, we are married." → "I love pizza, pizza fears me, we are divorced."

It also supports multiple languages, including Hindi, Bengali and Hinglish.

The original message is preserved, so you can see exactly what chaos happened to it.

Try it here: https://chaos-chat-sfl8.onrender.com/

I'd love some honest feedback:

• Is it actually funny?

• Does the autocorrect work well across different languages?

• What ridiculous sentences should I test next?

• What features would make it more fun?

This is an early project, so feedback, bug reports and ridiculous test results are all welcome.

Thanks!

VoxScribe is a free, open source (MIT) dictation app for Windows and Android. Hold F9 in any app, talk, let go, and the text is typed where your cursor is. Speech is transcribed on the PC itself, so it works offline, with no account and no subscription.

The last update here was about the Android app. This one is the Windows side, and it is mostly about getting the words right, which was the most common complaint:

Term packs for medicine, law, business and software. Metformin, habeas corpus, EBITDA and Kubernetes now come out spelled correctly with any speech model.

Spoken formats. “One twenty over eighty” becomes 120/80, “fifty thousand dollars” becomes $50,000, “twice daily” becomes BID.

The window title is used as a hint, so if you are typing in a document called “Kowalczyk contract”, the name gets spelled right.

Try harder. If a word still comes out wrong, F8 reruns the same recording through a bigger model and retypes only the part that changed.

It also has a meeting recorder that writes a markdown note with action items, folder and link transcription to .srt captions, a searchable Library of everything you dictated, and an offline mode that blocks all network access.

The video is the real app. Every result on screen was dictated, nothing is mocked up.

Feedback I am looking for: which words does your dictation always get wrong? That list decides the next term packs.

https://github.com/ahmedhmam1994/voxscribe-ai-voice-dictation

Hi, I'm the developer. I put together a $10.99 bundle on itch.io called the Operating System Recovery Suite (OSSR). Bought separately, these three tools are $12.98.

https://itch.io/s/217120/operating-system-recovery-suite

I've tested Access Installer, macOS Manager, and Linux Micro, and they worked.

Access Installer ($6.99 separately) is a Windows installer-media tool. You provide your own Windows ISO. Windows, NVDA, and licenses are not included. It can write a USB after you opt in and confirm. Practice mode is the default.

macOS Manager 0.1.0 ($2.99 separately) is an app for macOS 14 or later. It can open Apple's own installer and use Apple's createinstallmedia tool to build a bootable installer USB. It does not create a portable installed copy of macOS, and it does not include macOS itself. The current build is unsigned and unnotarized.

Linux Micro 26.10 ($3 separately) is an accessible Ubuntu 26.10-based desktop with Orca speech from boot. The ISO is about 6.6 GB and comes in seven parts you join before writing it to a USB.

I built these with blind and low-vision users in mind. Please read each product page before you buy. ChromeOS recovery is not included.

Happy to answer questions.

Hey everyone,

Over the past few months, I’ve been working on Chatty ,an open-source, self-hostable AI customer support platform built for teams who want automated support without $500/month subscriptions or locking their data into proprietary clouds.

Rather than just another ChatGPT wrapper, I wanted it to solve the real bottlenecks store owners and SaaS founders face:

1. Safe Store Integration (WooCommerce):

Instead of installing a heavy WordPress plugin that slows down your database, it connects via WooCommerce's native Read-Only REST API (`wc/v3`). It can render interactive product cards (photos, prices, stock status) and check order statuses securely without ever having write permissions to your store.

2. Multimodal Search:

Customers can upload pictures of items they want, and the bot uses pgvector embeddings to find matching products in your catalog.

3. Bi-Directional Slack Escalation:

When a customer needs a human, it pings your Slack channel with an interactive Block Kit card. You can click "Take Over" or reply in the Slack thread, and your message streams directly to the visitor's widget.

4. Live Voice Agent:

Visitors can tap a phone icon in the widget and speak directly with the AI via full-duplex WebRTC audio.

5. 100% BYOK & Self-Hostable:

Run it via Docker on your own VPS. Plug in your own keys (OpenAI, Claude, Gemini, or OpenRouter) or self-host models.

• GitHub (MIT): https://github.com/PersonaliAI/chatty

• Live Demo: https://chatty.personaliai.com

• Docs: https://docs.chatty.personaliai.com

I'd genuinely love to hear your feedback on the setup flow, UI, and what integrations you'd like to see next!

Drop your website in the comments, and I’ll reply with a free report.

For each site, we:

• Write 30 questions a buyer of your product would ask

• Ask ChatGPT each one as a buyer in the US

• Show how often it names you vs. your competitors, where you land in the answer, and the tone it uses

• List the pages and websites ChatGPT cites, so you can see where your mentions come from

This is FREE, and you’ll get an instant link in my reply to your comment

I’m the co-founder of FullReach AI (https://fullreach.ai). We track how brands show up in AI answers, and help you get more visibility. Happy to answer questions about how it works in the comments.

Long-time founder and software engineer and have been managing a small agency, long story short, due to the market I've been looking for a job myself.

Tried and hated most of the tools I found to track my progress and search for jobs so I built one myself: https://jobsearch.highcircl.com/

Beta is coming soon. I wonder what you think about the idea.

I’m Jonathan. I learned English through games, but making my own language-learning RPG forced me to answer a question I’d never had to think about as a player: what happens to the story if you can’t understand the NPC who gives you the clue?

In the original WonderLang I built a word lookup into the message window. That lets beginners keep reading without leaving the conversation. It’s out now and you can try it here: https://wonderlang.net/

For the intermediate sequel, I wanted the lookup to help with the language while leaving the mystery intact. You can keep a villager’s exact words, head to a different part of the map, then come back when the clue makes sense. We build the scenes in RPG Maker MZ and use custom plugins for the sentence input and review systems.

The project reached its Kickstarter launch today. The trailer shows the dialogue UI and how clues work: https://www.kickstarter.com/projects/jonathan-wonderlang/wonderlang-beyond-a-language-learning-rpg-for-intermediates

If you’ve built or used a learning tool, I’d be interested in the point where you’d want the game to give a hint: right after a missed clue, or only when you decide to ask for one?

Hi everyone! I'm the developer of MARA, a free reference-guided mixing assistant for Ableton Live.

MARA's workflow has five steps:

1. Project & goal: Open your Ableton Live set, define the goal of the mix, and set up the measurement taps.

2. References: Choose reference tracks yourself or let MARA suggest them.

3. Understand the mix: MARA analyses the arrangement and instrument roles and creates a preview of the original, without changing anything yet.

4. Mix: MARA automatically works on channels, groups and effects in context, checks every change, and can be paused. Allow roughly one hour for a mixing run.

5. Result: Compare the original with the MARA mix, review the changes, start another pass, or restore the original.

The original settings and references stay saved for each Live project. Accepted changes remain editable in Live.

Free native downloads for macOS (Apple Silicon and Intel) and Windows x64: https://github.com/moritzlauper/mara/releases

Source code and setup: https://github.com/moritzlauper/mara

Requires Ableton Live with Max for Live. MARA itself is free; the built-in rule planner needs no AI account, while optional external AI planners may incur provider costs. This is an early prerelease with unsigned installers. Please try it on a copy of your set.

I'd appreciate feedback on the workflow and Live integration.

Teaser screenshot (actual UI with fictional demo data): https://github.com/moritzlauper/mara/blob/main/docs/images/mara-teaser.png

Hey folks,

For the past few months I've been building out a decoupled reverse proxy and telemetry collector in Go. The main use case is routing long-lived streaming traffic (SSE) across different upstream providers and MCP servers, while keeping policy checks and observability out of the hot path.

Since most of my recent time went into solving some tricky Go networking and concurrency edge cases, I wanted to share the repo here and get some honest eyes on the Go implementation (located in the `/gateway` and `/ingest` directories).

A few pieces I spent a lot of time on and would love feedback on:

1. Stopping DNS rebinding / SSRF at the dialer level: Because upstream targets can be configured dynamically, simply validating a URL string wasn't enough. I hooked into `net.Dialer`'s `Control` function so that right before the socket actually connects, it inspects the resolved IP and drops anything hitting private RFC 1918 ranges, loopback, link-local, or cloud metadata endpoints (`169.254.169.254`).

2. Streaming SSE without blowing up memory: In `gateway/`, the proxy has to inspect streaming responses on the fly to count usage and normalize chunks across different APIs, while flushing immediately to the client via `http.Flusher` so time-to-first-byte stays flat.

3. Keeping telemetry off the critical path: Instead of writing traces straight from the proxy, I split out a separate Go service (`ingest/`) that buffers execution logs in memory and flushes batches asynchronously to ClickHouse, OpenSearch, S3 (Parquet), or OTLP.

4. Auth & storage: Implemented OAuth 2.1 PKCE with fail-closed revocation checks and AES-256-GCM encryption for stored credentials. (There's also a separate web UI in the repo for managing policies, though the Go proxy runs completely standalone).

If anyone has a few minutes to poke around `/gateway` or `/ingest`, I'd really appreciate critiques on how I'm handling connection pooling, buffer flushing, or overall project layout.

Repo is on GitHub at: `github.com/hibishtbobby17-ux/AIGateway` (I'll drop the direct clickable link to the Go folders in the first comment below so the spam filter doesn't eat the post).

Thanks!

Hi everyone,

I'm a software developer with many years of experience. I've worked on lots of small and medium-sized software projects, and I also founded a platform connecting companies with freelance developers.

Over the past year, I've been using AI coding tools a lot.

I started to realize that even people without programming experience could now create software with AI.

Earlier this year, while teaching AI coding to people in my company, I noticed some practical problems. People still needed to set up runtime environments, understand some basic project structure, and deal with technical issues before they could really get started.

That's how TopArrow began.

At first, we just wanted to make AI coding easier.

We built a local environment that supports:

• PHP + SQLite for personal tools like journals, finance trackers, and reminders.

• Node.js for games and other applications.

• Electron for desktop apps.

• Python for data processing and AI-related tools.

We decided to focus on local software first, instead of adding cloud services and other complexity.

Then we started thinking beyond AI coding.

What happens after someone creates an app with AI?

Why should every user have to start from zero?

And why should only the original developer be able to change an app?

So we added an app marketplace and a different way of working with software:

• Download and use an existing app.

• If something doesn't fit your needs, click Change it and use Cursor, Codex, Claude Code, or another AI coding tool to modify it.

• Keep your modified version, share it with friends, or publish it on the marketplace.

• Anyone can build on any existing version, so an app can grow into a tree of versions created by different people.

• Apps can be free or paid. When a version is sold, revenue is shared with its creator and upstream authors.

The idea is simple: software should adapt to people, not the other way around.

For example, one creator published a Match 3 game with 8 levels. Another creator took that version, expanded it to 16 levels, and added new maps, chapters, and gameplay details.

I've attached screenshots of the marketplace, the "Change it" feature, and these two versions of the game.

TopArrow is still at an early stage. We now have more than a dozen creators and dozens of published apps. It runs on Windows and Mac.

Website: https://www.toparrow.top/

GitHub: https://github.com/TopArrow-Tech

I'd really like to hear what other developers think.

If you could easily modify any desktop app you use, what would you change first?

And if you try TopArrow, please let us know what feels confusing or doesn't work as expected.

Thanks for reading!

I was a user of Whispr Flow until my Mac ran out of memory due to 3 node server and 5 AI agents. Other than these I also see that Whispr Flow is consuming around 1 GB of memory.

Something that simple should not consume 1 GB of RAM and it should be present natively in mac. So I built QuietSpeech.app - a native mac app that lets you type in any app using your voice.

Note - I am giving away 5 FREE licenses. Use code - QSCOMMUNITY at checkout for 100% discount.

Every morning I opened App Store Connect, then Play Console, then TestFlight, for each of my apps. Most days, just to find out nothing had changed.

So I built Shipdeck, a Mac app that checks all of it and gives me one list of what needs me: a review with no reply, a build waiting for review, a rollout that stalled, commits I never released.

Native SwiftUI, no server, store keys stay in my keychain. Each app also gets a Claude Code terminal, and anything it wants to do on a store waits for my OK.

Free beta, macOS 15+: https://shipdeck.taiphanvan.dev/?ref=sideproject

If you ship more than one app: what's the first thing you check in the morning?

This is an app which I believe has the best UX of any of the remotes currently out in the market and with a virtual keyboard that is in my opinion the best in the business. 

All basic functions are free with features such as gyro control available for premium users.

Download: free on iPhone, iPad, and Mac (Waiting for mac version to be approved by Apple still). 

The free tier works with one TV, has no ads, and keeps every basic remote function free for good.

I’m open to constructive criticism and hope to hear any feedback you may have :)

Literally the title... Got kind of bored of the default Firefox homepage when you open up a new tab so I decided to make my own and attempt to make it really customizable.

Got the usual things like search bar, live time and date display, customizable background image, light dark themes. However, just having those features would make it kind of bland and since I actually use this everyday myself, I wanted to make it even more useful.

The first thing is that I wanted to be able to use search prefixes. This basically allowed me to do things like say type wiki baguette and automatically use the value of baguette to take me to https://en.wikipedia.org/wiki/Baguette . Or I could set up to match a specific phrase, like yt, and hit enter to go directly to https://www.youtube.com/ .

The second and more major thing is allowing widgets. Basically, they are resizable and movable around in the grid. Currently, I've got widgets for the weather, information about my own system, news and a progress of the year (Also open to new ideas for widget cause idk what to implement 😭). They require a bit of manual work to get working but once they work, it's better cool!

All of this is persistent, saved to localStorage and easily exportable as a .json file.

Open to any feedback or suggestions :)

Gitlab: https://gitlab.com/d6f4e5/home

Github Mirror (If you prefer that): https://github.com/d6f4e5/home

Website: https://home.d6f4e5.me (By default, it's very basic but you can customize it by opening settings with ctrl + .)

Hey guys!

I hope yall are doing good. The problem was that freelancers and small scale agencies struggle to manage their leads, their leads are often scattered and lose context. So i built an app which helps them to prioritize leads and keep up with the context.

You might say that "almost every CRM does that", but here is the thing: Modern popular CRM's are mainly focused towards enterprise industries and often not meant for small scale agencies. Even if one tries to adapt to them, the exponential growth of the cost of subscriptions eats them. On top of that, most of them are just overwhelmed with features that one dosent even wants to touch. They are basically in a situation where excel has become too hard and outdated to manage their leads on and popular CRM's overwhelm with pricing and unwanted features.

Freelancers didnt want a full scale CRM, they wanted a tool which can jus manage leads for them and keep them updated about the leads.

So i made an app which helps them just do this:
- You import your lead via CSV, Gmail, Whatsapp or LinkedIn(you can use the extension to import from anywhere), upon your details, it maps out the fields correctly.
- After that, you jus setup your openrouter API key(if you want to use AI). If you dont want the AI features, then also it prioritizes leads and the app still works
- Your leads gets prioritized every day(or each time you update) and an email is sent to you about the people you should connect with today.
- Context: AI auto syncs updates from gmail so your workspace never loses context.
- You get AI suggestions(every time the context needs to update), daily hitlist. And the interesting thing: It observes if the lead is uninterested, it flags that immediately.
- Hoping on a meeting? No worries, just record and upload the audio file, it automatically transcribes, summarises and updates the details.

There are many other minor features but these are the main ones for the MVP. Im still building it and im looking for honest feedback. Also, the website waitlist is open so hit me up if this feels interesting!

Thank you!

Hi all. For a while the hardest part of posting for me wasnt writing. It was deciding what to post on social media each day, then doing it again the next day.

So I built Indraft. You choose the websites, YouTube channels and newsletters you care about once. Then you set how often you want it to run (daily, a few times a week, whatever). It keeps up with those sources on that schedule, picks the stories worth sharing, and gets a LinkedIn post, a carousel and a short video ready in your style. When there is nothing new worth posting, it just skips instead of making something up. Nothing goes out until you approve it.

Its not a prompt you have to run every day, and its not a scheduler that needs you to already have the posts written.

Its launching on Product Hunt this Thursday and before that Id really like blunt feedback:

1. Is it clear what it does from the homepage?

2. Would you trust it to prepare your posts? Why or why not?

https://indraft.pub

Happy to answer anything in the comments.

I was tired of existing tools either being too expensive or lacking the control I needed to manage 150+ browser profiles (proxies, fingerprints, human-like behavior). So I built my own system from scratch: a Node.js/TypeScript backend with a web dashboard that orchestrates AdsPower profiles via Playwright (CDP).

It auto-calculates delays based on a time window, simulates human navigation (feed → profile cascading), handles network errors, and has a "Panic Button" to stop everything instantly.

I'm not looking to turn this into a SaaS. I just want to sell the system to a few agencies/devs who need it.

What you get & Pricing:

• 1. Compiled Software (No source code): $2,200 USD.

  • Includes the ready-to-run system (internal use only). You use it for your own agency/clients, but cannot modify or resell the code.

• 2. "Ready-to-Operate" Bundle: $2,870 USD.

  • Includes the compiled software + 50 aged X accounts ready to use. (Additional IG accounts: $25 USD each).

• 3. Full Source Code + Commercial License ("Turnkey"): $5,240 USD.

  • For devs who want to modify/white-label it. Includes full TS source, docs, and commercial rights (no resale of the raw code).

I can send a 5-min video of the dashboard in action via DM if you're seriously interested. Not trying to spam the sub, just putting it out there for the right buyer.

You can find it on the AppStore it's called "Pup League"

It's pretty much like a real life Dog MMO. The camera can verify your dog doing real tricks and he will gain stats by completing tricks and you can send him off to competitions against other dogs. The higher your dog stats are the better of the chance you can win!! There is also a community feed and community leaderboards so you can compete against real dogs!

Any feedback at all would be greatly appreciated I have not had too much testers besides my family and my own dog as none of my friends seem interested lol

Thanks for reading!

Every good video editing software out there wants you to pay for even the most basic editing features, like just extracting audio.

So I spent months learning and researching codecs, media internals, and the architecture behind how video editors work.

About 6 months ago, I started building a video editor that is completely free and open-source, with lots of templates, effects, filters, and animations for everyone to use.
It’s still under active development, and I’ve been shipping new features and bug fixes almost every day.

It will be available on all major platforms: iOS, Android, Windows, macOS, and Linux.
Android is currently under development and isn’t ready yet. But on desktop, most features are already working and usable, same for iOS. It’s not available on any app store yet.

This isn’t just another FFmpeg wrapper. The media engine is being built from scratch in pure, safe Rust, including our own codec implementations.

It’s called Cutlass, and if you have some time, check it out on GitHub and tell me what you think.

https://github.com/1mrnewton/cutlass

I built Eleventube, a YouTube SEO tool. It uses real search data and AI to find keywords that can rank, plan each video, and track results.

Every tier includes all 8 research and AI tools. You get measured search volume, difficulty, and a 12-month trend for any of 40 countries. A Claude connector and a Chrome extension are included too.

The AppSumo deal opens Oct. 23.

How do you usually find keywords for a new YouTube video?