Hi everyone! I m new to Product Hunt and would love some advice from people who have launched here before.

I m preparing to launch Datasparks, a business intelligence and data analysis platform focused on helping teams organize, manage, analyze, and visualize time-series data. The product itself is live and I feel like we re at a point where it s ready for Product Hunt, but I m less sure about how to prepare for the actual launch.

A few things I d especially love advice on:

• How long should I be active in the Product Hunt community before launching?

• How much should I be engaging with other launches and discussions beforehand?

• What did you do before your first launch that you think actually made a difference?

Hello Product Hunt!! Great to be here.

Our team is building a preconception health app built on one idea: "becoming your best self is the most important thing you can do before conceiving".

Conception involves two people. Both partners' health matters - sleep, nutrition, stress, lifestyle habits all impact outcomes. So why approach it alone?

Hey Product Hunt! Really excited to finally be here.

I'm a solo indie developer from India. I spent 8 months building my first app failed multiple times, ran out of ideas, started over again and again. No co-founder, no investor, no team.

The hardest part wasn't the code it was believing the product was worth finishing.

Would love to connect with other solo founders here. What was the hardest moment for you when building your first product? Did you ever almost give up?

Hi all I'm Martin, based in London, building iOS apps solo (mostly under AIERT LTD).

I got into this community through a rabbit hole that started with something dumb: I had 50,000 unread emails and got curious about what that was actually costing, energy-wise. Ended up down a research hole on data center emissions, cloud AI vs. on-device inference, and how much of what we call "paperless" quietly isn't as clean as it looks.

That's led me toward caring a lot about on-device processing generally not just for privacy, but because the energy difference between cloud and on-device AI inference is bigger than most people realize (some of the research puts it at 75-95% less power for on-device).

I'm curious how others here think about this trade-off. For those of you building AI features are you defaulting to cloud APIs for convenience, or have you looked seriously at on-device models? And separately, does the "green tech" angle actually move the needle with users in your experience, or is it a nice-to-have nobody really chooses on?

Hi everyone, I'm Bugra from Istanbul.
I work at the intersection of software architecture, security, distributed systems, blockchain and AI. I'm most interested in problems where correctness actually matters: systems that move money, coordinate distributed state, enforce authority, communicate in real time, or have to keep working when things go wrong.
I started working in cybersecurity and offensive security early, later moved into blockchain and distributed systems, and eventually into large-scale backend architecture and technical leadership. I previously worked in R&D at Huawei, and today I remain hands-on while designing and securing production systems across microservices, cloud infrastructure, real-time communication, authentication, authorization and distributed backends.
Rust, Go and TypeScript are the languages I spend most of my time with. On the deeper systems side, I work on protocol design, consensus, P2P networking, cryptography, zero-knowledge systems, ZKVMs and blockchain security. I also contribute to and review open-source infrastructure projects.
Outside of professional work, I build my own products and research projects. That currently includes x402Shield for AI-agent payment authorization, TryMarketOps for B2B signal intelligence, Budlum and BudZKVM for blockchain and zero-knowledge research, and RadeBrowser, a Rust-first browser experiment.
What keeps me interested is usually the same thing: finding a difficult boundary between disciplines and trying to build something real there, rather than stopping at a prototype or another API wrapper.
I joined Product Hunt to meet people building ambitious technical products, discover interesting infrastructure and developer tools, and share some of the systems I'm working on.
Nice to meet everyone.

I have spent enough years around dispatch desks and flight departments to believe that most operational losses do not come from bad decisions. They come from good decisions made too late, on a picture that arrived after the moment to act had already passed. A routing change confirmed an hour after the fuel was ordered. An airspace restriction noticed once the aircraft was already committed. A fuel price accepted because nobody had time to check the alternative.

I want to open a discussion here about that specific problem, because I think this community has seen every version of it.

Hi Product Hunt, I'm Behan, a solo full-stack developer from India.

Hi everyone! I'm new here and want to introduce myself to the community!

My name is Tobias, I'm from Germany and I'm in the business for quite a while now - started with website development and design, moved on to ios development, and (skipping a few steps here) landed in the product owner business a while ago. I always had a strong opinion on design and user experience.

I kept seeing the same pattern: engineers ship a Terraform PR on a Friday, and by Monday the cloud bill has jumped $800. Not because anyone made a bad decision but because no one had cost visibility at the point where it actually mattered: code review.

So I built Zerobillbot a GitHub (and GitLab) app that analyzes infrastructure-as-code changes in every pull request and posts a detailed cost breakdown before the merge. AWS, Azure, and GCP. Terraform, CloudFormation, ARM all supported, zero config needed.

You can even set thresholds to block merges that would blow your budget. Finance teams love it. DevOps teams don't get surprise conversations on Monday morning.

Would love to connect with anyone in DevOps, platform engineering, or cloud cost management. Always open to feedback! zerobillbot.com

My name is Taiwo, and I'm the founder of PointBase. PointBase is the first AI SaaS product I've ever built as a solo, non-technical founder. I never thought I'd be able to build a AI SaaS product, but thanks to the AI era making it easier to build with code, and seeing other non-technical people ship their own SaaS products, I decided to take advantage of the moment and build my first one.

So, let's talk about PointBase. PointBase is a UI concept generator for mobile apps. You type in your app idea, and PointBase generates a UI concept showing how your app might look before you ever start building it. You can refine each concept however you want, and every concept comes with a ready-to-use prompt you can copy into any AI coding tools such as Claude Code, Cursor, or whatever you use to build your mobile app.