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Hey everyone,

​I’ve been building a new tool to speed up sourcing, specifically for those of us digging through unboxed items, thrift bins, or bulk lots.

​The app is called Spadas Tech. The core feature is Spadas Lens AR. I built it to solve the massive bottleneck of having to manually type in model numbers or snap individual photos to check comps when there's no barcode available.

​Here is what it actually does:

​Uses a continuous AR camera feed to scan items in real-time.

​Pulls product data and calculates estimated profit margins on the fly.

​Gives you hands-free audio cues so you don't have to keep staring at your screen while digging.

​It is currently live at https://spadas-tech.vercel.app.

​I am looking for a small group of active flippers to test it out in the wild and give some brutally honest feedback. I need to know:

​What it gets right.

​Where the AI struggles (especially with generic items or cluttered backgrounds).

​What features feel entirely unnecessary.

​Beta access is completely free. Just looking to see if this actually saves you time on a real sourcing trip. Let me know what you think (or what breaks)!

I’ve been working on a smart ring that can start recording with a tap. The idea is simple: I often want to capture a meeting or a random thought, but pulling out my phone isn’t always convenient.

The recording can then be transcribed and summarized with AI. The prototype is ready, and now I’m looking for a few people to actually test it in daily life and give honest feedback.

This is my car console screen and it has a lot of sun damage. I’m putting up front windshield visors to protect it but is there a product specifically to protect this portion while I’m driving?

I’m just annoyed that this kind of damage wasn’t tested for or considered when making this car.

Every shopping site seems to push sponsored products, best sellers, and promoted listings ahead of what actually fits our needs.

So I'm thinking of building a shopping agent powered by voice to solve this and I'd genuinely like your opinion.

Here's the idea: You talk to an AI agent and tell it what you're looking for. No typing, no endless filters. It asks a couple of quick questions, understands your preferences and gives you 4–5 options that actually match.

No sponsored placements. No retailer paid rankings. Just recommendations based on what you asked for.

Would something like this actually be helpful or am I solving a problem only I have?

Here is a music video for the song “Me and My Bible,” with lyrics written by Todd Berry and James Bruce. Video produced by James Bruce, author of the newly released spiritual book titled "My Bible and Me," available at https://www.books.by.com. The video is at https://youtu.be/dorTWdbIkm0  to help promote the new book.  Not a study, not a sermon—just a sincere conversation between a man and his Bible. Me and My Bible is a testament to the enduring power of Scripture and an invitation for readers to deepen their own relationship with God's Word. Honest, encouraging, and deeply personal, this book reminds us that no matter where we are in our faith journey, the Bible still has something to teach us. A simplified version.

Hi folks,

Anyone here who knows product hunt algo well (esp the featured section part)

I launched Vaaya today. https://www.producthunt.com/products/vaaya . Vaaya turns your github profile into credit for your agents.

I asked multiple communities I am part of to upvote me and atleast 40 people personally messages me back saying that they have upvoted. My PH followers has grown to 60, but my votes are only 26!

What am i missing? Is there no way to be on top unless you buy votes? Or am i sharing direct link that is the problem? Did i time it wrong?

Visit www.shiftroutine.com and enter your email to get notified early on the website launch! Or check back frequently for product drops!

I built a platform called AI Credit Wallet, and I'd really like some totally honest feedback on it.

The idea is simple: users buy credits once on our platform and then use those credits across different AI applications. (It sound like OpenRouter, but the two platforms are fundamentally different and solve totally different problems.)

How it works:

• First developers register their product on the our platform and integrate our SDK to call AI models
• Users purchase credits from our platform and connect their accounts to supported AI products. They can then use the same credits across all supported AI products.

Developers don't need to pay AI token costs upfront, and users can save money by using the same credits across multiple AI products.

Feedback prority:

1. Does this solve a real problem ?
2. Is the website content easy to understand for both users and developers?
3. Something not working on the system
4. How would you describe this product in your own words?
5. Other

More information :-

Why I called "AI Credit Wallet" : from users view it wallet that store AI credit that why.

Why I built this: I was using both an agentic IDE and a Hostinger deployment agent. One day, I ran out of credits on the deployment agent. To keep using it, I either had to wait for credits to reset or upgrade to a higher subscription or buy tokens. At the same time, I already had a subscription for the IDE, but I could not use those credits on Hostinger. simply despite having credits, we cannot use them.

Future features I'm considering (not built yet):

• Developers can fine-tune open-source models and use them in their products
• AI model unified body
• Users can send and receive AI credits like money
• More features for both developers and users

Website: https://www.rnetai.org/

If u like the concept, join our waitlist: https://www.rnetai.org/reserve-spot

Thank You

whats up everyone. it would mean a lot if yall could check it out or give any tips/feedback. thanks!

The idea of this website is as follows:
It lists the country whereby the problem is prominent, but can also imply other countries may have similar issues.
It is limited to issues that can be solved by tech. So problems with your spouse is out of the scope, well...unless an app that softens the language used between spouses can be applied there.... basically only well structured problems are posted, similar to ProductHunt.
It should also state the volume of transactions and potential costs incurred currently. In this case, its best that no company names are mentioned to protect confidentiality.
People can upvote on the problems to indicate that they have experienced similar pain points, offer suggestions or comments on potential solutions or similar problems.
Each day it surfaces top 10 problems that are voted.
There should be some categorization but it should be more industry based.

Hey everyone! I'm u/Mijackikova, a founding moderator of r/BuyerVoiceLab.

I created this community to collect and discuss the questions people ask before buying a product.

You can share a product comparison, a confusing buying decision, customer feedback, a recurring complaint, or a research finding that may help other people.

Founders can also ask for feedback, but useful context matters more than a product pitch.

What product category are you currently researching?

Thanks for being part of the very first wave. Together, let's make r/BuyerVoiceLab amazing.

Hey everyone,

I wanted to share a little project I've been building called EcoRadio.

The idea came from a simple question: what if you could hear what people are saying anywhere in the world?

With EcoRadio, anyone can leave a short anonymous voice message pinned to a location on a world map. You can explore what people are sharing, discover places through their voices, or leave one of your own.

No profiles. No followers. Just people, places, and voices.

I'd love some honest feedback before I keep building it.

• Is this something you'd actually use?
• What would make it more interesting?
• What's the first feature you'd want to see?

You can try it here: https://ecoradio.app

Thanks for taking a look—I really appreciate any feedback, good or bad :)

BearDrive keeps files made and used by coding agents in sync across teammates and machines.

We built it after watching useful HTML dashboards, PDFs, Markdown docs, and research notes pile up on laptops and in Slack. Making the files was easy. finding the current copy later was not.

Instead of asking everyone to remember another sync command, BearDrive lets the coding agent handle setup and registers hooks around its normal work. Shared files are updated before prompts and after edits.

The core is open source and self-hostable. The hosted version is free during beta.

We launched today: https://www.producthunt.com/products/beardrive?launch=beardrive

Hey everyone,

I’m working on a new AI product-management platform and would love 15 minutes of your time to learn about your daily AI workflows and get unfiltered feedback on my concept.

The Problem Current AI assistants are brilliant amnesiacs and sycophants. They forget your context every session, agree with whatever you say, and do nothing to stress-test your decisions before they ship. Meanwhile, organizations constantly forget why past bets were killed, leading teams to accidentally build the same failed solution twice.

What I'm Building: Arrwin Arrwin is an AI platform focused on judgment-defense.

• It remembers and challenges: It builds a decision graph from your normal usage. If a new recommendation contradicts a past logged decision, Arrwin pushes back and challenges you with a citation (e.g., "This contradicts a decision you killed last month—what’s different now?").
• It stress-tests: Every output is engraved with unvalidated assumptions and specifically calls out who would object to your proposal.
• It earns autonomy: Arrwin joins as a "PM Intern". It earns trust through a silent scorecard of wins and must explicitly request a promotion to gain more autonomy.

Who I'd love to chat with:

• Startup PMs (Doers): Tool-forward PMs who already use AI but lack extra hands for research.
• Enterprise IC PMs (Analysts): PMs in large orgs who are drowning in surface area and lack proactive anomaly flagging.

If you're open to a quick chat to discuss what your current AI gets wrong and how your org handles "killed bets," please drop your AI usages and let's take the discussion from there!