Guys, over the last month we conducted in-depth research. 28 small business representatives confirmed that they experience a background concern about legal risks related to their website, and current solutions cover only ~20 30% of these fears. This is an opportunity for startups the Legal AI market is already $3.11 billion and growing.
Best,
ProblemHunt
Boris and Victoria

1. Startup founders get lost in legal, accounting, and administrative tasks after incorporation, leading to stress and risks due to the lack of a clear, step-by-step plan.

2. The owner of a relaunched bar on the French coast cannot attract an audience in the evening due to the legacy of its past format (nightclub) and its isolated location.

Hi everyone! I m Kseniia, CMO at iPNOTE an AI-powered platform that helps founders and companies protect their ideas and manage IP worldwide.

I ve been an entrepreneur for 5+ years (marketing agency, dev studio, HRTech startup) and I know how often IP protection ends up at the bottom of the priority list until it suddenly becomes a big problem . That s one of the reasons I joined iPNOTE to help make IP protection simple, affordable, and accessible for founders everywhere.

I was recently talking with a group of founders, and we went around sharing tools we're using now. Posting my notes for our community here - would love to know what else people are using!

Voice AI toolkit:

- Vapi

Today, the productivity domain in tech is very well developed - there are tools for almost any need!

But at the same time, there s always a feeling that there might be something else, something better. All the time.

What I like about this space is that once people start using tools like Miro, Notion, Trello, ClickUp, etc., they tend to keep testing new things and experimenting with different tools.

I spend a lot more time on PH at the moment to see what indepedent makers are spending their time on. I've noticed some patterns and also want to share a little bit about my journey at South Park Commons. Most startup stories begin at zero when there s already a team, an idea, maybe even a prototype. But at South Park Commons (SPC), the philosophy is different: people gather in the -1 to 0 stage. That liminal space where you don t yet know what you re building or even if you should build at all. It s a place for exploration, experimentation, and being brutally honest about what s working and what s not.

A hallmark of SPC is how often industry leaders drop by to share what they ve learned in the wild. Recently, I was in a small chat with Tyler Payne former Google and LinkedIn AI lead, startup builder, who has spent the last decade helping teams actually ship real-world ML systems. We're always talking about what's being launched at SPC.

Now, since some do these things, while others charge every bit as much without these features, I already expect that they have:

• Built-in Github commit

• Credit rollovers (e.g. if I do not use all credits in a paid plan, they are added to the next month - indefinitely)

• Nothing that tries to keep my project within their ecosystem and then expects that as my business scales, I pay them more.

As Lovable, Bolt, v0, Base44, Bubble, Make, etc. jostle to out-do each other and be the one that we pay for, I think we will soon see:

• Back-end solutions that guide non-technical creators through the steps to ship a SaaS product that is actually ready to scale to take on real traffic

• Pre-emptive best-price/best-solution external solution-shopping, such as for white-listed bulk emailing and available domain search.

I am attempting to observe what you use for coding. I have come across many tools on Product Hunt + Web, but I am fairly certain I have missed quite a bit.
I divided them into "traditional" and "specialised".

Traditional AI models:

DeepSeek

I am noticing two contradictories:

The growth of MVP services
The growth of AI tools that help you generate the code
What's the point of MVP services when the majority of people (with a very little knowledge about the code) can use AI to create their first MVP?
Yeah, you can now argument that some solutions are technologically more difficult and that's the point where the MVP service provider can step in, but anyway...

Each model is becoming more "skilled".