Hi PH Community,

We're thrilled to report that the SupernovaAI launch has been a success! Since going live on October 23rd, the response has been overwhelming, and we couldn't be more grateful.

Hello PH Community!

We are thrilled to announce the upcoming launch of SupernovaAI on Thursday, October 23rd!

PH Community,

In advance of our official launch, Foundry360 is pre-launching SupernovaAI, a platform that unifies multiple AI models into a single interface. It helps you streamline workflows, compare outputs, and stay productive - all while keeping full control of your data.

We're not going to lie. One of the key places people ask you for help with a PH launch is in LinkedIn DMs (followed by X and email).

Most connections I got were people from Product Hunt, so it is a pity not to use that platform.
I am trying to grow LinkedIn and play with many strategies, among:

• posting several pieces of content per day

• actively comment on other people's posts

• send a certain number of connection requests per day

• do collaborative posts with other creators

• writing LinkedIn articles/newsletters (native feature)

I ve been on Product Hunt for over 1,000 days, and honestly, when I first started, I had no strategy.

I knew I wanted to grow, but I didn t have a clear plan. I simply liked the platform, and that was enough motivation to spend time here. That time helped me recognise certain ways to build a personal brand on Product Hunt.

I have been around since the GPT-3 days, and one thing I ve noticed with GPT-5 is how careful it has become.

One clear difference between GPT-5 and the earlier 4o model is a kind of hesitation when it comes to certain topics, be it macroeconomics, politics, or anything nuanced.

Hey Product Hunters

I m Kacper an electrical engineering graduate and founder working on a project that aims to blend entertainment, gaming, investing, and real-world business value into a single ecosystem.

The idea is simple but ambitious:

what if local venues, gamers, and everyday users could interact through a shared value system, where experiences, rewards, and offers become exchangeable almost like a common currency of engagement?

Hey PH Community , during our planning phase we spoke to many AI power users that said their usage was fragmented, and they were managing multiple platforms, subscriptions, and APIs for different models. That led to lost context, inefficient workflows, and difficulty in comparing results. Our platforms allows users to stop switching between AI platforms. It unifies OpenAI, Claude, Gemini, and Perplexity in a single, seamless interface without lost context.

Smart AI Model Management

Switch between top AI models without losing context. Compare responses side-by-side, track usage patterns, and optimize costs to get the best results for every task, whether coding, creative writing, or research.

So, quick confession. I'm a marketer by trade, not an engineer.

My coding knowledge is basically zero.

Hey PH Community!

I am Deep from India, founder of GamePulse[dot]studio. Earlier I was building games in-house and for clients, with 15 games launched with 1.3M+ in downloads, I realised monetization is a big problem for SMB gaming studios since 90-99% of their users are non-paying. Current solution are very generic analytics products, but we are changing that with an automated monetization platform. Planing a launch in November first week, your support would be very helpful. If you need any help with gaming, data, pitchdecks, growth I can help.

Thanks.

Hi Product Hunt! I m Jason Gelsomino, a 30-year technology veteran with over two decades of go-to-market and revenue operations experience. I know firsthand how challenging it can be to self-promote and successfully go-to-market, especially in the AI and SaaS space.

In the next 10 days, we re launching a AI SaaS platform code named BamBam (for those of you that know the reference) designed to tackle a real-world challenge that all AI power-users struggle with. I m thrilled to share more when we get close to go live!

I build AI-powered SaaS tools that help teams solve real-world problems - automating tasks, streamlining workflows, and making smarter, data-driven decisions. My mission is to turn complex tech into simple, practical solutions that actually get used.

I ve spent years as a technologist and now AI consultant. I m focused on creating products that deliver measurable impact while exploring the latest in AI, automation, and SaaS.

Charlie (@cerwindcharlie)and I have been thinking a lot about what really matters when building a startup. And honestly, it all comes down to one thing:

Making something people want.

It s a bit cringe but it s true.

Hello Product Hunters!

We have launched chatbot app which is called SalesPilot.

It can analyze and forecast sales directly from Excel files using conversional AI. It doesn't need any technical skills. So you can chat with your excel files.

I ve noticed something interesting while talking to early-stage founders: almost everyone underestimates the true cost of rebuilding.

On paper, an MVP is cheap and fast. But when growth comes, and the codebase can t keep up, rebuilding often costs 3-4x more, not just in money, but in lost time, missed opportunities, and investor confidence.

This came to my mind when I read about how the creation of Sora has raised concerns that it could be an AI equivalent of TikTok (critics warning it could fall into the same addictive patterns as other social platforms).

And after several messages with some people, I also noticed how I wasted a lot of time on my desktop instead of doing something productive or learning.

I m curious what you all devs and founders are relying on day-to-day in 2025. With the flood of new ai tools, it feels like every tool looks different depending on industry and workflow.

• What s ai tool working well for you right now?

• Which AI tools actually save you time?

• Which ones did you try but drop?

Would love to see how other folks are stacking their tools this year.

I keep seeing advice like use this model for the easy stuff and that one for complex problems. But it makes me wonder what really counts as a complex problem for an LLM?

For us, complex usually means lots of steps, deep reasoning, or tricky knowledge. But for AI, the definition might be different. Some things that feel easy for us can be surprisingly hard for models, while things that seem tough for us (like scanning huge datasets quickly) might be trivial for them.