We re constantly sharing feedback, reporting bugs, and discussing ideas yet those conversations are usually scattered across private tickets, closed chats, or platforms that trade transparency for reach. Important insights get buried, repeated, or lost, and users rarely get to see how their feedback actually shapes a product.

That s the gap we wanted to explore with Sceptrum Community.

This community is built to be open by default, but intentional about privacy and quality. Discussions are public so knowledge isn t locked away, identities are real to reduce noise, and conversations are structured so useful feedback can stand out instead of getting lost in the crowd.

The idea isn t to create another social platform, but a focused space where users can report issues, suggest improvements, and help each other while knowing their contributions matter and remain visible. Less noise, fewer duplicates, and more meaningful collaboration.

Hey hey PH community
We kicked off a little Made with Metabase contest on Reddit and would love to see what you ve been building.

If you've shipped something with Metabase (dashboards, internal tools, data stack, or scrappy MVPs), this is a nice excuse to turn that work into a limited-edition Metabase mechanical keyboard
Join in here: https://metaba.se/made-with-meta...

Hey all! quite a while since i can say the last major update has commenced, this time involving an almost complete rebuild of the canvas creation logic under the hood. What that means for you? Much faster UI responsiveness, Larger Canvas support and more keyboard, and also now mouse: shortcut integration!
If you feel like checking it out, heres the app store link:
https://apps.apple.com/app/tilep...
Compatible with iPad and Mac.

Balance is an AI-powered personal finance app built to show your entire financial life in one place. In 2025, the focus was to make money easier to understand, easier to explore, and easier to act on without cumbersome spreadsheets, manual repetitive tasks, or guesswork.

This year focused on modeling systems that organize your data, reveal patterns, and make everyday decisions easier. Here s a look at what that made possible.

AI Became the Interface to Your Finances

Your computer should never feel uncertain about what it s protecting.

With v2.1.0, Proximity Lock System now gives you clear visibility into:

• Which device is configured

• When it was last detected

• Whether monitoring is actively working

What s New

Just wanted to say a quick thank you to everyone who checked out Cue today.

I launched this morning not expecting much. It's a tool I built over the holidays that turned from a side project into the main project I'm working on. Seeing it hit #3 (so far) is honestly surreal.

We ve just published a new n8n tutorial for Bult.ai.

It shows how to deploy n8n on Bult.ai in minutes and build a personal AI assistant connected to Telegram, Gmail, Google Tasks, Google Contacts, and Calendar. The guide covers deployment, importing a ready-made workflow, credentials setup, and testing text and voice prompts.

I'm Kevin, founder of EnginifyAI. Over the last 12 months I've been working on a prompt engineering tool. I started off using Bolt but quickly I found myself unable to completely use it effectively. I then tried Cursor and was using it early on but maybe I had the wrong settings as I found myself using all my credits in 2 days. So, I switched to Windsurf, and to my surprise credits were a bit more manageable and it took about 2 weeks before my credits were consumed. Keep in mind that I am new to coding so I spent a lot of time asking questions in Windsurf instead of using my paid subscription to Anthropic.
I'm coding using React/Typescript and Supabase. I have learned that coding is a lot of work, a lot of fine-tuning, and a lot of testing and fixing. The one thing I haven't quite figured out completely is how to fix migrations. Early on I was running SQL scripts directly in Supabase without migration scripts because I found it to be faster. But now Windsurf uses very old migration script references and I find myself fixing the same issues because of an old migration script reference. Any idea how to fix this?
I assume that vibecoding is an experience everyone can enjoy but comes with frustrations about asking the right questions, or being very specific about my requests. I am using Claude Sonnet 4, 4.5 and 4.5 thinking. Are these the best coding ai models for Typescript?

Friday, we launched and you heard all about us. Today we want to hear about you.

First, thank you for showing up on Product Hunt for the upvotes, the questions, the incredibly thoughtful conversations about dual environments, instant board generation, and keeping the tools that already work for you.

AI has dramatically reduced the cost of exploration, drafting and iteration.
But it hasn t reduced the cost of judgment.

In fact, judgment has become more valuable.

Live Preview has been our most requested feature, and we're excited to share that it is available now, free, for everyone!

Stay tuned for updates and share your thoughts with community

https://discord.gg/jY6nacKWQX

We won t pretend that the world isn t tense, because relations between countries are increasingly strained. (Coming from a country that never had technological or numerical superiority, we ve mostly become just part of the regime.)

But not everyone is on the same page, and countries are investing in defence.

As leaders, we spend most of our time pouring into others. Our families, our friends, our teams. We invest our time, energy, and presence in being there for others. But somewhere along the way, it becomes easy to overlook an important question

Who is pouring into you?

Hey makers!
I've been deep in prompt engineering lately while building an AI tool, and I'm genuinely curious about how others approach this.
A few questions:
1. Do you save your best prompts somewhere? Notion, text files, dedicated app, or just copy-paste from chat history?
2. How do you iterate? Do you have a systematic approach or just tweak until it works?
3. Different prompts for different models? Or do you use the same prompt for ChatGPT, Claude, Gemini?
4. Text vs image prompts do you treat them completely differently?
I've noticed I was doing the same optimizations over and over (adding role, being more specific, structuring output format), which made me wonder if everyone has their own "prompt formula."
Would love to hear your workflows!

I think the biggest AI boom was in 2023-2024, but only now have I noticed improvements that have positively helped many businesses.

If I had to name three things that have had a very positive impact on business, they are:

• Improved image creation using GPT Chat

• Realistic videos through AI, where costs are reduced by hundreds, sometimes thousands of dollars (production video agency vs. a few custom prompts)

• "vibe coding" tools that show me a visual and I can reverse query and learn why the code is written in such a way that I got a certain result.

I often get asked why someone's forum was rejected.

First of all, I need to clarify that I m not an internal member of the Product Hunt team, so I do not influence these decisions.

I work closely with product and growth teams, and one challenge I keep running into is explaining user drop-offs to people who aren t deep into analytics.

The data usually shows where users leave, but turning that into a clear, confident explanation without overloading dashboards or making assumptions can be tough. Especially when the audience is leadership or business stakeholders.

I m curious how others handle this in practice:

Hey PH community!

I ve been spending a lot of time thinking about how people actually work with prompts while building a tool in this space, and I realized I have way more questions than answers.

A few I d love to throw out:

Every company has its own vibe, but I ve noticed a pattern: the bigger the company, the less they tend to do for employees around Christmas.

In smaller teams (or startups), it s usually way cosier people actually try to keep the holiday spirit alive (in our country, that often means a Christmas bonus, extra salary, vitamin packs, food hampers, etc.).

Hey Product Hunters!

When my wife Noa and I heard that MTV was officially shutting down, it felt like the end of an era. As 90s kids, we missed that specific "linear" experience the joy of just turning on the TV and being surprised by a music video without an algorithm getting in the way.

LinkedIn officially shared the job titles that started appearing more often, and with the rise of AI, the market is restructuring.

The actual top 10 roles that have seen the biggest rise in listings (in the U.S.) are:

1. AI engineers Engineers developing and implementing AI models that perform complex tasks

2. AI consultants and strategists - Helping organisations plan and implement AI technologies to improve operations

3. New home sales specialists Which sounds like a rebranding or real estate agent

4. Data annotators Labelling and reviewing data for AI projects

5. AI/ML researchers Designing new AI models and systems

6. Healthcare reimbursement specialists Ensuring healthcare providers are getting correct and timely payments

7. Strategic advisors and independent consultants Which seems like a pretty broad-ranging segment

8. Advertising sales specialists You re reading a marketing blog, I assume you know this one

9. Founders Not sure this can be listed as a job title in itself, but LinkedIn s keen to highlight how people are shifting to their own businesses

10. Sales executives

Hi ProductHunt community,

This term has been coined by someone and there are already more than 80 products that you could put in this category. Looking at the numbers, it's growing pretty fast.

The shift toward "Vibe Coding" feels like we ve finally moved from being construction workers to being conductors. We are spending less time fighting syntax and more time sculpting the "intent" of our software.

However, as I ve been leaning into this AI-native workflow, I ve noticed a recurring tension that I d love to get the community s take on:

1. The "Black Box" Debt: When we "vibe" our way through a feature in 20 minutes that used to take 4 hours, are we unknowingly inheriting technical debt that will haunt us when the "vibe" inevitably breaks?

Despite their immense popularity in China, SuperApps (multifunctional platforms that combine services like messaging, payments, shopping, and more into a single app) have yet to gain significant traction in the United States. This discrepancy raises intriguing questions about cultural differences, technological infrastructure, and consumer behavior.

One key factor is the fragmented nature of the United States' financial and tech ecosystem. Unlike China, where Alipay and WeChat Pay dominate the market due to a unified financial system and government support, the US has a diverse array of payment gateways, banks, and fintech solutions. Integrating these into a single SuperApp is not only logistically challenging but also requires navigating complex regulatory landscapes.

Moreover, american consumers have grown accustomed to niche apps tailored for specific tasks: such as Venmo for peer-to-peer payments or Paypal for digital purchases.
The US market has also been slower to adopt all-in-one platforms, reflecting a cultural preference for specialized solutions over overarching ones.