Hal9

Launch AI-Powered Products in 30 Days

Artificial Intelligence

GitHub

Consulting

Vibe coding

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.

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.

Automating work like reports and audits is kind of where AI actually helps, tbh. Things like financial reports or carbon audits usually take weeks and involve a lot of back and forth. Having AI handle that through APIs and finish the work in seconds is far more useful than just testing ideas in small demos. The examples like Propio and Greenny using this in real work shows how it can save teams serious time. Btw Congratulations on the launch.

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.

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.

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.

You say there’s no lock-in and full customization which is a big deal for founders. After the 30 days are done how much control does the founder actually have over the code, infra and future changes? For example can they take everything and continue with their own team without depending on Hal9 or do most teams still need ongoing support from you?

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.

Cost and uncertainty are usually the biggest worries. Hiring a team can get expensive fast and AI tools alone still leave a lot to figure out. A setup like Hal9 with clear pricing and a defined timeline make easier to plan around. It is simpler to decide when you know what you are paying for and what you’ll get at the end.

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?

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?

Too many AI tools let you play around, but it’s hard to actually finish anything. What I like about Hal9 is the clear goal of getting a real product out in a set time. Having experts guide the work while AI does the building feels like a better path than staying stuck trying things forever.

A lil question: How much control founders keep during those 30 days. When your experts are guiding the AI agents and shaping the MVP, how involved is the founder in day-to-day decisions and how do you make sure the final product still feels like their vision and not a generic AI-built app? Best of luck on the launch, Javier.

I have tried no-code tools and also talked to a few agencies before. Both paths got confusing fast. Either things didn’t work the way I needed or the plan kept changing. What I like about this is having real people help shape the product while AI does most of the building. That easier than trying to do everything alone or handing it off without much control.

As a non-technical founder, this actually caught my eye. I’ve played around with AI tools before but I usually get stuck between prompts, scope and figuring out what is realistic to build. The idea of having experts guide the process while AI does the heavy lifting sounds like a different approach. Curious how hands-on the guidance is during those 30 days.

Hal9 looks amazing! Im really digging the promise of rapid AI product development. How well does it handle integration with existing legacy systems? Super curious!

Very compelling value prop. How do you balance deep customization with the 30-day launch timeline, especially for products with more complex workflows or data requirements?

Congrats on the launch 🙌🏻 Super interesting approach. Curious to know: at what point do founders usually hit the biggest blocker, ideation, scoping, or actually shipping the MVP with AI agents?

Hey Javier, that line about solo vibe-coding dead ends hits. Was there a founder you worked with who had a solid AI idea but got completely stuck trying to build it themselves?