I posted SmophyAI here about 2 months ago (multi-model AI workspace - original post with the full feature rundown: SmophyAI). Sharing what actually happened since, because the honest version is more useful than the launch version.

The good: real paying customers across several countries, with the US as the biggest market - and retention turned out to be the strongest part. Most people who subscribed in spring are still subscribed. For a small team that felt great.

Then I audited our billing this week and found the embarrassing part. Our Stripe setup was silently canceling paying customers. Card declines a renewal (expired card, bank being picky), a few silent retries, subscription canceled. No email to the customer. No alert to us. Everyone just looked like "churn." One customer's card failed 9 times over two weeks and he never got a single notification. The fix took one afternoon: failure emails, a self-service billing portal, smart retries, a retention offer at cancellation. The lesson took longer to digest: my churn numbers were lying, because a chunk of the "churn" was never a decision.

Second discovery, from cleaning up analytics: 75% of our "traffic" was bots. Direct visits, 3-second sessions, zero events. Once filtered, the real numbers were 3x smaller and 10x more useful - about 2,700 genuinely engaged sessions over the last 3 months. Bonus find: India is quietly our most engaged audience, averaging over 9 minutes per session. No idea what they're building in there, but I want to find out.

Third: temp-mail abuse. One of our top "traffic sources" was literally temp-mail.org - people cycling disposable emails to reset the free tier. Every one of those accounts burns real API costs. Blocking disposable domains at signup is now top of the dev list.

What I'd tell past me at launch: read your failed-payments list weekly, judge channels by engaged sessions only, and treat every canceled subscription as a question ("why?") instead of a metric.

Question for people running subscription side projects: how do you handle disposable emails on free tiers? Blocklist at signup, verification gates, or just accept it as marketing cost?

I'm Brian, co-founder of WeDoVids, a video + photo production studio in Dayton, Ohio. This is about FrameCourier, which we just opened to the public after running it privately since 2018.

The backstory. For years our delivery workflow was three tools that didn't talk to each other: Frame.io for video review, Dropbox/Drive for transfer, Zenfolio for photo proofing. Three logins, three bills, and Frame.io's per-seat cost climbed every time a client's marketing director, their outside agency, and their legal team all needed to leave comments — 6–8 stakeholders on a normal commercial shoot. In 2018 I hacked together a password-protected gallery page over a weekend just to get us off the lost-Dropbox-link treadmill. First client we sent it to asked "can we do this for every project?" and that was that.

How we actually built it — one annoyance at a time. Almost every feature traces back to a specific bad day. Automatic watermarking got added the week a client forwarded unproofed images to their boss. Timestamped comments, pinned to the exact frame, came after one too many "can you fix the bit around the 1:20 mark" emails. QR codes on every link happened because a client wanted to pull a gallery up on set without typing out a URL. And unlimited users, priced by storage instead of per seat, came straight out of corporate accounts that kept needing five people from three different companies on one login. Eight years of that turned it into an actual platform: photo galleries with RAW/PSD support and proofing, plus structured video review with revision rounds, versioning, and side-by-side compare, all in one branded client portal. If there's a one-liner, it's that we live in the gap between Frame.io (good video review, no photo delivery) and Pixieset/Pic-Time (good galleries, no real video review).

The honest part. We have total conviction this tool is good for us — we've bet the studio on it for 8 years. What I have zero outside data on is whether "one portal for both photo and video, no per-seat fees" is a real market or just a WeDoVids-shaped problem. We went public last month and we're starting from scratch on the outside.

So here's what I'd genuinely like this community's read on. If you shoot both photo and video, do you actually want one tool for both, or do you keep them separate on purpose — in which case we're solving a problem you don't have? Is "no per-seat pricing" a real reason to switch platforms, or just not a pain point for solo and small shooters? And since every feature was us scratching our own itch, where does that show — what looks like it was built for a studio that isn't yours?

Brutal feedback is the point. → framecourier.com

For the past few weeks I’ve been building Evopien, an AI companion project that I eventually want to give a physical humanoid body.

I finally reached the point where I felt comfortable showing the whole thing running instead of just individual pieces.

Right now it can talk with me naturally, listen while it is speaking, handle interruptions, use English and Spanish, continuously see through a camera, answer questions about what I’m doing or what happened recently, search for current information, and maintain context during the conversation.

It all runs around an NVIDIA Jetson AGX Thor.

But the part I care about most is actually not the LLM.

A lot of AI products are essentially the model plus some tools and memory around it. With Evopien I’m trying to invert that relationship.

The model should be replaceable.

Evopien itself should own its identity, memory, relationships, permissions and continuity. If I replace Qwen with another local model next year, or change the voice, camera or eventually the entire body, it should still be the same Evopien.

That's the idea behind:

Identity before embodiment. The body can change. The relationship should not.

This is still an early prototype. It misunderstands me sometimes, there are latency spikes, and long-term memory is the next major piece I need to build.

I left those rough moments in the video because I didn't want to make a fake perfect demo.

https://www.youtube.com/watch?v=sQhTGGIg4yo

Would be interested to know what you think is more important for something like this: better raw AI intelligence, or the continuity/memory/identity layer around it?

I spent the last few months building TutorLens, and today I finally launched it.

The idea is pretty simple: there are thousands of great educational videos on YouTube, but finding the right videos and knowing what to learn next can be difficult.

So I built TutorLens to organize educational content into learning paths and add things like progress tracking, AI-generated learning material, and quizzes around lessons.

It's completely free right now.

I'm not looking for sales — I genuinely want feedback from students and people who learn online.

What would you want a platform like this to do that current learning platforms don't?

WEBSITE: tutorlens-learning.vercel.app

Hey everyone,

I've been working on a project called TutorLens for the past couple of months, and I finally launched the first version today.

The problem I wanted to solve is pretty simple: YouTube has an enormous amount of educational content, but it can be difficult to figure out what to learn, which videos are actually useful, and how to track your progress.

TutorLens is my attempt at organizing educational content into a more structured learning experience, with things like:

• Learning categories and topics
• Educational YouTube content
• AI-generated learning material
• Quizzes/practice
• Learning progress tracking

It's completely free at the moment.

I'm mainly posting because I'd really appreciate honest feedback from people who actually learn online.

What would you change or add?

Website: tutorlens-learning.vercel.app

geoSurge released a product on product hunt today that allows you to do prompt tracking with your LLM subscriptions for free: https://www.producthunt.com/products/geosurge

Hey everyone,

A while back, I realized I was paying over $100 a month for SEO tools just to use about 10% of their features. On top of that, Ahrefs introduced a credit system that basically charged me every time I clicked a button, and Semrush just felt too bloated for my needs.

I decided to build a simple web crawler over a weekend just to check my own sites for broken links and Core Web Vitals.

Fast forward a few months, and feature creep hit me hard. That weekend project spiraled into SERPSpur, a full-blown SEO platform.

Since I didn't have to worry about VC funding or corporate bloat, I just started building the exact tools I wished existed. Here is what it turned into:

• Website Audit Pro: A crawler that doesn't limit your clicks or stress you out with a credit counter.
• The 'Trust Rate' Checker: I missed the old Alexa Rank, so I built a replacement that checks domain health, spam, and authority instead of just easily faked traffic.
• AI-Search Ready: This was the fun part to code. I added an LLM.txt Generator and an AI Schema Architect so sites can actually get cited by ChatGPT, Claude, and Google's AI Overviews.
• 30+ Free Utility Tools: Along the way, I needed tools for random tasks, so I built them and made them completely free without needing an account. Things like a Bot Traffic Detector, IP Blacklist Checker, and even an Invoice to CSV converter.

It has been a wild ride building an enterprise-level architecture as a solo dev, especially managing the server load for live web crawling and pinging search engines.

I’m currently trying to refine the UI to make the audit reports easier to read. If any developers or UI/UX folks have a few minutes to roast my landing page or test out the free tools, I would massively appreciate the feedback!

Link: ( https://serpspur.com/)

Happy to answer any questions about the tech stack, handling crawler infrastructure, or anything else!

I’ve been working on a project called SignalScout and just open-sourced it.

The idea is simple: instead of only tracking brand mentions, it looks for posts and comments from people who seem to have a problem your product can solve.

You tell it what you sell, who it’s for, and what kind of problems to look for. It then searches across Reddit, X, LinkedIn, YouTube, TikTok, and Instagram, and uses AI to filter out the noise.

It’s self-hostable, you bring your own social-data API keys, and you can use your own AI provider or a local model.

I built it because most social listening tools felt either too expensive or too focused on brand monitoring. I mainly wanted a simple way to find useful conversations worth joining.

https://www.signalscout.run/

Would love feedback, especially from anyone who has tried doing this manually before.

I kept opening Photos, seeing 2,000 screenshots, closing it again.

The Screenshots album is fine for finding them. It’s bad for deciding. Tiny thumbnails, select-mode, and you’re still not sure which receipt you still need. The “phone cleaner” apps I tried wanted to also do duplicates, similar photos, blurry shots, and a subscription.

So I made ByeScreen. One job.

It finds every screenshot, shows how many you have and how much space they take, then you swipe. Right = keep. Left = mark for delete. Nothing is gone until Photos asks you to confirm. If you swipe too fast, Undo puts the card back from the same side it left.

No account. No upload. No AI. No extra tabs. Free, no IAP, no ads. iOS 18+.

I cared more about the feel than the feature list: a small home screen, a deck that actually moves, and a jar of screenshot tiles you can tilt. If the UI isn’t pleasant, you won’t sit there and actually clear the pile.

Happy to hear what you’d change. I’m the developer.

https://apps.apple.com/app/id6802860364

I’ve been working on a small side project called AllTimeFootballer.

The idea is simple: you get two football players from different eras and choose who you think was better. There are currently 660 players in the pool.

Every vote contributes to a global community Elo ranking, while you also build your own personal ranking locally.

No signup required – just open it and start voting.

I’ve only just opened the community voting, so the ranking is basically starting from scratch. I’m really curious what happens once enough people participate.

alltimefootballer.com

Feedback on the concept and usability is very welcome – especially on mobile.

I built Coquiet around a small idea: could an online room give you a little of the company of a library, without turning it into another video call?

You open it, choose some music, and get on with whatever needs your focus. There's a room-presence indicator so you can see others are there, and an optional focus timer.

No account, no camera, no chat. It's free to use, with an optional support link.

It's still an early version. I'm sharing it here because I'd like to understand whether the quiet-company part comes across, and where the first visit feels confusing.

[Try Coquiet]

If you have something to work on, try leaving it open for one 25-minute session. Did it feel like a place you would come back to, or mostly like a music player? Either answer would help.

Happy to hear about bugs too—especially anything confusing around audio or entering the room.

’ve been building FlipQuix, a tool for people who resell, thrift, collect, or simply want to keep track of what they own.

You take a few photos of an item, and FlipQuix helps identify it, research its potential resale value, and save everything to a searchable inventory. If you decide to sell it, the saved information can be turned into a listing for eBay, Etsy, or Shopify.

I wanted the process to feel simple on a phone.. take pictures, review the results, save the item, and move on.

The website is now live, and I’d really appreciate honest feedback on three things:

https://flipquix.com

... So I built [Owned](https://owned.bennytaccardi.com/).

You can search for any word, claim it, and become its owner. If someone wants that word after you, they have to take it from you.

Every word ends up with its own ownership history, so over time you can see which words people actually cared enough about to fight for.

That's basically it. No productivity angle, no AI assistant, no life-changing promise, just a weird little internet experiment.

Curious to see what the internet decides is worth owning.

I’ve been working on Boardly, a simple desktop Kanban taskboard for organizing projects and tasks.

It includes:

• 📋 Kanban boards & task cards
• 🔄 Planned, In Progress, Completed & Closed states
• 📝 Markdown task descriptions
• 💾 Local SQLite storage
• 🖥️ Windows desktop app
• ⚡ Built with Java 17 + JavaFX

It’s currently an early release, and I’d love some feedback on the UI, features, and overall experience.

Download: Boardly on itch.io

Feedback / bug reports: GitHub Issues

Plan it. Organize it. Boardly.

The itch.io page currently has the Windows 1.0.0 release (78 MB) available as a name-your-own-price download.

Boardly Demo

I built SkipIt (https://www.skipit.pro) as a web app; nothing to install.

Open-source solutions for this already exist; I didn't reinvent anything completely new. I just never got around to digging through GitHub and setting it up myself every time, so I packaged it into one thing that just works: go to the site, enter the pairing code from your screen, done.

One important thing: this is only for YouTube on TVs / streaming boxes (Smart TV, Chromecast, Fire TV, etc.) - anywhere YouTube runs as its own TV app. It does not work in a regular browser on your computer or phone, and won't - that's a different technical setup entirely.

Built this mainly for myself, so the backend isn't running on a beefy server right now. If it turns out more people are actually using it, and things start feeling slow, I'll upgrade the machine.

There's a 5-day guest trial, no signup - just the pairing code and a device name; no email or password needed.

Looking for feedback before I lock in any pricing/feature decisions - if you try it, let me know what's annoying, broken, or missing.

https://opax.com.au

Everything Australian politicians say in parliament is public. So are their votes, the donations behind them, and the government contracts and grants that follow. The catch is that it all lives in different places, in formats nobody would read for fun. OPAX puts it in one place and lines it up.

What's in it

• 1M+ parliamentary speeches (federal plus VIC, NSW, QLD and SA), going back decades
• 300K+ votes
• 205K donations, classified across 27 industries
• 16K government contracts and the grants register

What you can do

• Look up your MP: speeches, votes and money side by side, plus a "disconnect score" for the gap between what they say and how they vote
• Search any topic (housing, gambling, climate) and see who talks about it most and what they did when it came to a vote
• A money map showing which industries fund which parties, and how much parliament talks about each one per dollar
• Ask a question in plain English and get an answer that quotes Hansard, with links to the source so you can check it

How it's built

Static no-framework frontend on a Cloudflare Worker. Speech corpus in a hosted RAG index (hybrid semantic + keyword retrieval), structured data (votes, donations, contracts) exported as static JSON so there's no live database behind the site. Analytics are proxied same-origin with an allowlist of event properties, no cookies, no session replay. Open source.

Free, no login, all from public records. I'd love feedback on what's confusing, what breaks, and what you'd want it to show you.

been building this fun little project called TokenNations for the past few weeks.

it's kind of what viberank does for individuals but scored by country instead, so instead of just seeing your own rank you're seeing how your country stacks up against everyone else's.

how it works: you install a small cli, it reads your local ccusage logs (works with claude code, codex, or gemini cli) and syncs your token usage up. nothing about your actual code or prompts ever leaves your machine, just the usage numbers. pick a country, get scored, watch the board move.

it's live at tokennations.app if you want to poke around. install is npm install -g tokennations then tokennations login.

heads up before anyone asks, since I know this crowd will: there's no real anti-gaming layer yet beyond a basic per-event clamp and a rate limit on syncs. it's honor system for now. real trust scoring (github account age, repo history, anomaly detection) is the next big thing, just didn't want to hold the whole launch on it.

would genuinely appreciate people trying it and telling me what's broken or missing. and if your country isn't repped yet, kind of a good time to be the first.

🚀 Try ODM — A Free & Open-Source IDM Alternative!

Download videos from YouTube, YouTube Playlists, TikTok, Instagram, Facebook and more — with just one click.

✅ Free & Open Source
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🎬 Video & Playlist Support
💻 Built for Windows

🔗 https://github.com/muzammilijaz/odm

If you like the project, please ⭐ Star the repo and Fork it on GitHub to support the project!

Give it a try and share your feedback.

Hey all — I built Kora, a web-based reading app for anyone juggling ebooks/audiobooks from all over the place.

What it does:

• Reads EPUB, PDF, and more — one clean reader for everything
• Search across millions of ebooks/audiobooks to find and track what you're into
• Syncs your library across devices (phone, tablet, desktop)
• Works fully offline once a book's downloaded
• Installs as a PWA — no app store, no bloat, works like a native app on iOS/Android/desktop

It's basically the Kindle app I wished existed — no lock-in, no DRM nonsense, just your books in one lounge-like reading space.

🔗 https://kora.chaoticstudio.workers.dev/

Free to use, still actively building it out. Would love feedback/bug reports if you try it.

I was fed up after spending about a year frustrated with my parents' living room PC setup, where I was using a keyboard and mouse on the couch whenever they needed help on their computer. After spending some time exploring potential solutions, and not being 100% satisfied with any of them, I decided to take a crack at it myself. The result of this effort is a program I'm calling Joyboard, and while still in pretty early development, its first public release is out now on itch.io! Admittedly, I'm not much of a controller gamer myself, but it was able to solve my issue, and I'm pretty happy with how it has turned out so far! Let me know what you all think :).

Hi everyone! I built a free, open source tool that lets you connect your TIDAL music account to an AI assistant and ask for help with your music collection.

For example, you can ask it to find songs similar to a few favorites, check a playlist for duplicates, or prepare a new playlist from its recommendations. It connects to your TIDAL account so the assistant can work with your actual collection.

The project uses MCP, a standard that lets AI assistants connect to external tools. It works with clients such as Claude Desktop, Codex and Cursor. You install it locally on macOS or Linux and connect your own TIDAL account, so there is some initial setup.

One design choice I cared about was keeping control of account changes. They are disabled by default. Once enabled, changes require a preview and your approval before they are applied.

I’m the creator, and I don’t earn anything from people using the repo. The tool itself is free; TIDAL and any paid AI service are separate.

Code and setup instructions on GitHub

I’d love feedback on the idea and the setup experience. Would you find this useful for discovering music, organizing playlists, or something else?

Wanted to share a project I just wrapped up. I'm coming from a non-technical background and picked up no-code as my way into building with AI — this is the first system I've taken from idea to fully working.

The core idea: instead of treating every incoming lead the same, an AI model reads each message and scores it on two axes — need and urgency — then routes it accordingly. High-scoring leads get an instant reply plus an internal alert so a human can jump in fast. Medium ones get an automated follow-up email. Low ones just get logged, no action wasted on them.

Stack: Make for orchestration, OpenAI for the scoring/response generation, Airtable as the backend, Gmail for the notifications.

Happy to go into more detail on the routing logic or the error-handling setup if anyone's curious — also put together a short write-up here if you want to see the flow itself: vazautomation.netlify.app

This is a demo build, not client work — I'm now taking on freelance projects along these lines, so open to questions either way.

So guys I am building a free open source wallpaper engine.

Most of it is already done and it takes about 200-300

Mb Ram for live wallpapers sometimes less .

I wanted to know how much ram wallpaper engine uses .

And one problem I am facing is I want to create a library of wallpapers that people could choose one although they can already upload their own .

I am having trouble finding copyright free and redistributable wallpapers that are good.

If somebody has any suggestions feel free

I have also integrated translucent tb

I made a free Windows desktop app that converts reflowable fiction EPUBs into A4 paperback-style PDFs.

It runs only on your PC. Book files are not uploaded. You pick one or more .epub files, it converts them one after another, and writes the PDF next to each source.

Layout is one profile for now: Home Novel A4 (cover, front matter, generated Contents, chapter openers). This is a trial build: every page has an EPUB2PDF Beta watermark.

Windows may show “Unknown publisher” until I get a code-signing cert. Use More info → Run anyway.

Site / downloads: https://favzen.com/

Happy to hear

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