Hal9
Launch Your AI-Powered Product in 30 Days
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Javier Luraschi

Hal9 - Launch AI-Powered Products in 30 Days

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Hal9 helps non-technical founders launch AI-powered products in 30 days without expensive teams or endless AI prompts. Instead of vibe-coding alone with robots, talk to our AI experts who scope your vision, refine ideas, guide AI agents to build secure scalable MVPs on our platform. It's the most competitive way to ship AI MVPs: experts guide (don't code from scratch), AI handles the heavy lifting, predictable pricing, no lock-in, full customization. Focus on growth while we handle the tech.

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Trevor Mitchell
But I’d like to understand what happens after that first month. Once the product is live how do founders handle updates, new features or changes based on user feedback without becoming dependent on Hal9, especially if they’re still non-technical?
Javier Luraschi
Maker

@trevor_mitchell1 great question, check out hal9.com to understand how to grow from vision, to MVP, to product to scaling. But paraphrasing what we have on the website:

  1. Prototype. Manifest Your Vision into a MVP. This is the first month, expect to have something users can provide feedback.

  1. Launch. Turn Your MVP into a Product. After the first month, you'll want to release an alpha release, beta, and eventually the official first release of your product. But even then you are not done.

  2. Scale. Scale Your Product to Millions. Last stage is scaling your product to run reliably to more people with higher margins. That's as important as having your MVP built and we can help you all the way.

Leonhard

For founders who already have an idea but aren’t sure it’s the right idea yet, how much does Hal9 challenge or push back during the process? If an idea isn’t strong, risky or realistic to ship in 30 days do your experts help reshape it early or do you focus more on execution once the direction is set?

Hannah Krause

Building with AI alone can feel confusing after a point. You can get some things working but then you hit a wall and don’t know what to do next. The idea of having real experts guide the process while AI handles the building more reassuring. That kind of support makes it easier to move forward instead of guessing your way through everything.

Javier Luraschi
Maker

@hannah_krause1 yes, building with AI alone is pretty challenging, TBH. Is so much better to have experts on your side, like Hal9.

Anders Dahl

AI chatbots only help when they know what they’re talking about. A chatbot that answers questions from a specific set of data instead of guessing is a plus. Hal9 building chatbots that can plug straight into a product or website makes it more useful.

Best of luck to the Hal9 team with the launch.

Javier Luraschi
Maker

@anders_dahl2 thank you!

Brandon Ellis
What makes this approach interesting is that it doesn’t stop at just building a demo. Starting with a small MVP, getting feedback and then turning it into a real product and fits better with how startups usually grow. The fact that Hal9 also handles hosting and scaling later on makes it easier to think long term. Not having to worry about rebuilding everything again once users start showing up.
Natalie Brooks
Security is one of those things most founders worry about even if it is not something they talk about at the start. Being able to run Hal9 in your own cloud or data center with everything kept separate helps reduce that concern. It is good to see privacy and isolation handled early, rather than pushed to later stages. That approach lets teams stay focused on building the product instead of thinking about data risks.
Javier Luraschi
Maker

@natalie_brooks security is indeed very important at Hal9, so you can leverage all our learnings, expertise and proven platform to de-risk security concerns when you start building from scratch.

Megan Price
Talking to investors is a lot easier when there’s something real on the table. Showing a working product beats explaining ideas over and over. Having a way to get an MVP out quickly with Hal9 helps keep those conversations simple and focused. It gives people something concrete to react to instead of what the final product might be.
Hannah Cooper
Using AI inside tools people already use is where it starts to help. A Chrome extension that can reply to messages quickly saves time on small but repeated tasks. When Hal9 powers this through an API it shows how the same AI can plug into other products instead of living on its own. That kind of integration is easier to imagine using day to day.
Hyder Moedeen

@javierluraschi @poraschi @Hal9 Hey, hope you’re doing well.

I came across what you’re building and wanted to reach out.

Quick question, are you currently using any AI in your product or internal workflows?

With the new AI laws coming in (like the EU AI Act), a lot of teams are unknowingly exposed because they don’t have basic rules, documentation, or safeguards around AI use yet.

That’s what I help with, setting up lightweight AI governance so things stay safe and don’t cause issues later as you scale.

Is AI something you’re already using, or planning to use soon?

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