Hey PH community

We re currently building MasterPlan, a SaaS platform for paid media professionals, and we re still in waitlist mode.

Recently, we were accepted into the Google Cloud for Startups program and I wanted to share why this milestone actually matters at this stage.

For early-stage SaaS products, infrastructure is a strategic decision, not just a technical one.

Last month I ran 20 Reddit posts to drive traffic to my content site. Tracked everything.

Results were wild:

The wins:

Hey all,

I launched SvelteLift on Tuesday: 10 production-ready landing page templates for SvelteKit, $29 on Gumroad. The launch got basically zero traction, fair enough since my account here is new and I have no following.

Hello Product Hunt,

I built X Actu to solve a problem I had myself: posting consistently on X without spending time rewriting articles every day.

With X Actu, you:

• Connect RSS feeds (blogs, news, media)

• Automatically generate tweets using AI

• Publish or schedule them, with optional review

Its been almost 12+ hours since we launched (https://www.producthunt.com/prod...) and we wish to see 100s of upvotes and engagement.
So, let me explain Due Diligence via in a funny way, in movie Thor, when Odin rescues Thor on Jotunheim, Thor thinks he came to fight with him, so he says, 'Father, we will finish them together', Odin says, 'Silence'.. Odin did a quick due diligence and silenced his son because his battle experience in millions told him, this is a grave situation..

Similarly, due diligence is a process where investors look for everything that can go wrong in the exceptional business plan or pitch deck for the best problem to be solved, submitted to them by an ideal founder. They look for the risks and the founder readiness to tackle these risk just through a pitch deck. Most times even the first sight of unaddressed concerns causes startup rejection, just like Odin did above, because seeing 100s of submissions per week, any reason to reject a startup makes their life easier.

We built Motion Hero for Shopify stores that want the kind of scroll-driven experiences you see on sites like Apple, Terminal Industries, Cula Tech and other highly interactive websites.

Right now, social media is full of people saying:

Just build it with Claude.

And yes, you can. But if what you actually want is a scroll-controlled video section, it s still much easier to open a Video Editor, upload your video, set the behavior, add your content and publish it.

Hi Product Hunt 
I'm Yanni, founder of Netlio.
Recently, I've become obsessed with a question:
Why are we still treating relationships like static contact lists?
I believe most professionals don't have a networking problem.
They have a relationship intelligence problem.
* People change jobs.
* Companies evolve.
* Opportunities appear and disappear.
But our contacts stay frozen in LinkedIn, Gmail, spreadsheets, and business cards.
So we're building Netlio.
An AI agent that keeps your network up to date, tracks important changes, and tells you when someone becomes relevant to your goal.
What would you want an AI agent to do for your professional relationships?

Google Tag Manager was supposed to free marketers from developer dependencies. Somewhere along the way, mastering it became a career in itself.

I've been in digital marketing for 20 years. The pattern I kept watching: businesses not tracking conversions properly, not because they didn't care, but because the tool assumed a level of technical knowledge most marketers don't have and shouldn't need. CSS selectors breaking after frontend deploys. DataLayer events waiting on developer queues. The Preview Mode loop eating unbillable hours nobody talks about.

We just shipped the first feature for oneinfer-edge and it's open source.
Ever copy a Hugging Face model ID, spend 2 hours setting things up, and then watch it fail because your VRAM was off by a few GB? Yeah. We've all been there.
oneinfer-edge now tells you if your machine can run any Hugging Face model before you deploy.
Paste a model ID, it scans your GPU, VRAM, OS, and serving libraries, gives you a Hardware Ready verdict and full memory breakdown (weights + KV cache + serving overhead).
No surprises at runtime.
Supports Apple Silicon (M1 to M5), NVIDIA (CUDA), AMD (ROCm), and serving libraries including Ollama, llama.cpp, SGLang, TensorRT-LLM, PyTorch and many more coming.
It tells you why something won't work, not just that it won't.
CPU support is something we're actively working through and feedback and contributions on that front are very welcome.
oneinfer-edge is part of the broader oneinfer.ai inference control plane, a platform built for teams shipping multimodal AI products at scale.
oneinfer-edge brings that same infrastructure intelligence to your local machine so self-hosting is a genuine alternative to managed cloud inference, not a debugging exercise.
We built this in the open because self-hosted AI infrastructure should belong to the community that runs it.
Star the repo: https://github.com/oneinfer/onei...
Report issues or request features: https://github.com/oneinfer/onei...
Learn more: https://oneinfer.ai/platform/one...
Drop us a star if this looks useful and PRs are wide open. We're just getting started.