u/JDavisxu

Huint is building the human intelligence layer for AI agents. The idea is simple: when AI needs real-world context, proof, opinions, or judgment, Huint lets it request help from real people.
The product is already live.
The iOS app is approved.
The operator side is working.
The MCP/API layer exists.
The vision is bigger than photo tasks.
I need someone who believes this can become a major platform.
The perfect person has some technical understanding, but the real need is marketing, distribution, content, energy, and obsession. I need someone who can help get Huint in front of people, create momentum, test growth channels, talk to users, sell the vision, and keep pushing when it gets hard.
This is not for someone who wants a title.
This is for someone who wants to build.
I’m offering up to 40% equity for the right person. That number is serious because I’m looking for someone who can become a real partner, not a casual advisor.
What I’m looking for:
Strong marketing instincts
Passion for AI, startups, or future-of-work platforms
Some technical understanding
Ability to create content and drive attention
Willingness to talk to users
Startup-level urgency
Belief that AI agents will need access to real human context
Huint is early, but it is real. The rails are built. Now it needs distribution, users, partners, and someone who can help turn a working product into a movement.
If this sounds like something you’d want to help build, DM me with what you’re good at, what you’ve built or marketed before, and why Huint interests you.

I’m building Huint.io, and I need honest feedback from people who think about AI, agents, marketplaces, or weird future-of-work ideas.
The core idea:
AI agents can use tools, APIs, search the web, read docs, write code, and automate software.
But they still hit a wall when the answer depends on something live, local, physical, subjective, or experience-based.
That is where Huint comes in.
Huint lets AI agents and operators create real-world tasks that humans can complete through an app. Right now we are starting simple with photo proof tasks, but I do not want to limit the platform to “take a picture of this.”
The bigger question is:
What should AI agents be able to ask humans to do?
Examples I’m thinking about:
Verify if a business is actually open
Check if a shelf is stocked
Confirm if a sign, property, or location looks damaged
Ask local people what is happening at an event
Get live opinions during sports matches or political moments
Ask normal users which UI, logo, or landing page feels more trustworthy
Ask verified professionals for quick judgment when an agent hits a knowledge wall
Get real-time context from a city, store, venue, job site, or neighborhood
Ask people what something “feels like” in a way static data cannot answer
My belief is simple:
Eventually, the best AI models will know almost everything that can be trained from static data.
After that, the valuable edge is live human context.
What is happening right now?
What do people think right now?
What can a real person verify right now?
What does an experienced human know that is not sitting cleanly on the internet?
That is the space I think Huint can own.
But I need outside perspectives.
What task types would you expose to AI agents through a platform like this?
What would be useful enough that an agent, business, or operator would actually pay for it?
And on the growth side: how would you make something like this gain viral traction?
Should the first viral loop be:
people completing funny public tasks?
agents posting real-world challenges?
creators showing AI hiring humans?
live global tasks during sports/news events?
professionals getting paid to answery questions?
something else entirely?
I’m looking for sharp feedback, not polite feedback.
Tell me what sounds useful, what sounds stupid, what sounds dangerous, and what would actually make people try it.
The product is live, but the category is still early.
If AI agents are going to touch the real world, what should the first real use cases be?b

Then what?
Most of what it knows will be old the second the world changes.
Store closed.
Shelf empty.
Sign broken.
Line out the door.
House damaged.
Parking lot full.
Dock door open.
Event actually happening.
AI will not need more stale data.
It will need a live human network that can tell it what is true right now.
That is what Huint is building.
Love it or hate it, AI agents are going to need eyes in the real world.
Real tasks. Real places. Real proof.

I’m building a startup called Huint, and I’m looking for people willing to test it while watching the World Cup.
Huint is an iOS app where people can complete simple real-world tasks and get paid after the task is approved.
For this test, I’m posting simple global tasks that you can complete while watching the game. Nothing complicated. Open the app, find the task, follow the instructions, submit the photo/proof, and I’ll review it.
I’m mainly trying to test the full flow:
Download the app
Find a live task
Claim it
Complete the task
Submit proof
Give honest feedback
Good feedback, bad feedback, bugs, confusion, complaints, all of it helps.
This is early, so I’m not pretending everything is perfect. I just need real people using it so I can see what breaks, what feels unclear, and what actually works.
If you’re watching the World Cup and want to help test something new, download Huint on the App Store and look for the live tasks.
Appreciate anyone willing to try it. US only

Must be US based
I’m looking for a high-quality creator to make an end-to-end YouTube demo for Huint.
The point of the video is simple: show how Huint works.
Huint connects AI agents to real-world tasks. An operator can create and fund an account, connect through MCP or API, post a task, and have that task completed by a real person through the Huint iOS app.
I need a creator who can record the full operator-side flow:
Create a Huint operator/MCP account
Fund the account using Stripe
Generate or use an API key
Connect Huint to an agent workflow
Create a real-world task using one of these:
Claude Desktop
Claude Code / coworker-style agent
Codex
direct API key flow
I prefer the API key or coworker/agent workflow because it better shows the autonomous side of Huint. But the main goal is clarity. Someone watching the video should understand how an operator goes from account setup to posting a real task.
The video should feel real and organic, not like a fake SaaS ad. Screen recording, narration, clean walkthrough, clear steps, and a believable end-to-end demo.
Pay:
$100 creator fee
$25 operator/demo task funding provided separately
Requirements:
Must show previous work
Must be comfortable recording technical walkthroughs
Must understand or be willing to learn MCP/API workflows
Must be able to explain the process clearly for YouTube
Must deliver a clean, usable video file
This is early, but the product is live. The iOS app is approved and available. The operator side is working. I need the video to make the product easy to understand.
If you can create a strong walkthrough that shows how Huint works, DM me with examples of your work.

Looking for two content creators to help make organic Huint demo videos.

A creator who can record the operator side: connecting to the Huint MCP and posting a task.

A creator who can record the Tasker side: downloading the Huint app, finding a task, completing it, and submitting proof.

These should feel natural, not overly produced. Real screen recording, real walkthrough, real usage.
I’ll provide funds for the demo tasks.
DM me if interested.

Looking for two content creators to help make organic Huint demo videos.

A creator who can record the operator side: connecting to the Huint MCP and posting a task.

A creator who can record the Tasker side: downloading the Huint app, finding a task, completing it, and submitting proof.

These should feel natural, not overly produced. Real screen recording, real walkthrough, real usage.
I’ll provide funds for the demo tasks.

DM me if interested.

Huint is now live on the App Store, and we’re looking for early users.
The app lets people complete simple real-world tasks nearby, usually photo or observation tasks, and get paid after the task is approved.
If you want to help test it:
Download Huint from the App Store.
DM me your general location. City or area is fine.
I’ll post real tasks in the app near you so you can complete them.
The goal is to test the full flow: find a task, claim it, capture proof, submit it, and improve the product from real usage.
This is still early, so feedback matters.
Real tasks. Real places. Real proof.

Why Huint Started With an iOS App

When we started building Huint, there was an easier version of the product we could have launched first.

We could have made a website.

That probably would have been faster. Put up a landing page, let agents post tasks, let people upload photos, and call it the future of work. It would have looked good in a demo. It might have even gotten attention faster.

But the more I thought about the actual product, the more I felt like that was the wrong starting point.

Huint is not just another marketplace. It is not just a place where someone posts a task and another person uploads a file. The whole point is that AI agents and operators need real-world context. They need someone on the ground to verify what is happening in a real place, at a real moment.

That changes the responsibility of the product.

If a task asks for a current photo of a storefront, a dock door, a property entrance, a damaged sign, or a visible condition, the system has to do more than collect an image. It has to ask basic questions. Was the person close enough? Was the task actually doable? Was the photo captured in the right flow? Did the image match what was requested? Was the Tasker kept inside clear safety boundaries?

That is why we started with an iOS app.

A mobile app gives us a better foundation for the kind of trust this category needs. GPS gates let us confirm that a Tasker is near the task location before completing certain tasks. Built-in camera capture keeps the proof connected to the task instead of turning the product into a random upload form. Device-level checks give us another layer of confidence that the task is being completed through a real app session. Optional AI vision review can help flag whether the submitted photo appears to match the request.

None of that makes the system perfect. No system is perfect. But it does make the starting point more serious.

And I think that matters.

There will be a lot of noise around this category. People are going to describe it in the strangest way possible because that is how you get clicks. AI hiring humans. Agents sending people into the world. Bots with bodies. All of that makes for a good headline, but it does not solve the hard part.

The hard part is execution.

The hard part is making sure a real-world task is clear, lawful, safe, and verifiable. The hard part is making sure the person completing the task knows exactly what to do. The hard part is making sure operators get useful proof instead of junk. The hard part is making sure agents do not turn the physical world into a sandbox.

That is where I think some of the early versions of this idea will get it wrong.

If you launch this as a loose web marketplace, you might get attention, but attention is not the same thing as infrastructure. Real-world work needs more structure than a form and an upload button. It needs guardrails. It needs location logic. It needs a capture flow. It needs clear states. It needs review. It needs rules that are built into the product, not just written in a terms page.

Huint is starting smaller on purpose.

The first version is focused on photo tasks. A task is created. A nearby person claims it. The app checks whether the task can be completed from where they are. The Tasker captures proof through the app. The submission goes through review. The result goes back to the operator.

That loop is simple, but it is important.

Because once that loop works, the product can grow from there. More task types. Better verification. Better AI review. Better human review. Better tools for operators. Better ways for agents to request and receive real-world context.

But the foundation has to be right.

That is why launching on iOS was worth the extra pain. App Review was not easy. Permissions were not easy. Onboarding was not easy. Offline states, location handling, account deletion, camera capture, submission flow, all of it forced us to make the product more real before users ever touched it.

In hindsight, that pressure was probably a good thing.

If Huint is going to connect AI systems to real people in real places, it should be held to a higher standard from the beginning.

The future is not just agents moving faster through software. The future is agents understanding more of the real world. But that only works if the bridge between the digital world and the physical world is trusted.

That is what Huint is building.

Not a viral experiment.

Not a random task board.

A human intelligence layer for AI agents, starting with real tasks, real places, and real proof.

Looking for live iOS beta testers for Huint.

Huint lets you earn money by completing simple real-world tasks nearby.

DM me your TestFlight Apple ID email and general location if you want to test the app and earn real money.

Limited spots.

AI is getting better at almost everything inside a screen.
It can search.
It can write.
It can code.
It can plan.
It can call tools.
It can move through software faster than any person.
But it still cannot stand in front of a building and tell you what is actually happening there.
That gap is what I’m building for.
The project is called Huint.
Huint lets AI-centric builders, operators, and automated workflows post real-world tasks that nearby people can complete through the mobile app.
Simple examples:
Take a current photo of a storefront
Check if a sign is damaged
Capture proof of a dumpster area before sending a crew
Verify a dock door or property exterior
Answer a simple on-site question from a safe location
The Tasker gets paid.
The operator gets real-world proof.
The agent gets context it could not reach on its own.
I know this sounds strange at first, but I think this becomes a real category. AI is not going to stop at writing emails and moving data around. The more agents can do, the more they will need trusted ways to understand the physical world.
The internet is not reality.
Old Google images are not reality.
A database field is not reality.
Sometimes someone actually needs to be there.
That is the layer Huint is trying to build.
Not surveillance.
Not trespassing.
Not weird private investigation work.
Not bots sending people into unsafe situations.
Just clear, lawful, location-based tasks that give agents real-world context.
I’m posting here because I want honest feedback, especially from people building with agents or automation.
Would you use something like this in your workflows?
And what real-world task would you want an AI agent to be able to request?

WHAT HUINT SOLVES
AI is getting incredibly good at thinking.
It can write, research, analyze data, make decisions, and automate work that used to take entire teams. But every AI system has the same problem: it can only know what it can see.
And most of the world’s important information isn’t online.
It’s a packed parking lot. A damaged shipment. An empty store shelf. A construction site. A broken sign. A building that looks completely different than it did six months ago. It’s all the little details that never make it into a database but still drive real decisions every day.
Humans can see those things. AI can’t.
That’s the gap Huint exists to close.
We’re building a network that lets AI interact with the physical world through people who are already there. An agent can request information, verification, photos, observations, or real-world actions, and someone nearby can provide it.
Today that might be as simple as checking a location or taking a picture. Tomorrow it could help AI verify inventory, inspect infrastructure, monitor assets, validate data, or understand what’s happening anywhere in the world.
We don’t believe the future is AI replacing people.
We believe the future is AI and people working together.
AI brings speed, scale, and intelligence. Humans bring awareness, judgment, and presence. Huint connects the two.
Our mission is simple: give AI access to the real world.
Because the next leap forward in artificial intelligence won’t come from better answers. It’ll come from better understanding of reality.

WHAT HUINT SOLVES
Artificial intelligence is advancing faster than anyone imagined. It can reason, create, analyze, and act on vast amounts of information. Yet every AI system shares the same blind spot: it cannot see the world beyond the screen.
The most important information often isn't in a database or on the internet. It's in the real world. It's the condition of a building, the state of a shipment, a crowded parking lot, a broken sign, an empty shelf, or a detail only a person standing there can see. Every day, billions of decisions are made using context that AI simply cannot access.
Huint exists to close that gap.
We're building the human intelligence layer for AI, a network that gives agents access to real-world context, observation, and judgment through people who are already there. What starts with simple tasks and verification becomes something much larger: a bridge between digital intelligence and physical reality.
We believe the future isn't AI or humans. It's AI and humans, working together. AI provides scale, speed, and reasoning. People provide awareness, context, and presence. Huint connects the two.
Our mission is simple: make the physical world accessible to artificial intelligence. Because the next breakthrough in AI won't come from thinking harder. It will come from understanding reality.

I’m 35 years old and from one of the toughest cities in America. I studied Chemistry in New Orleans and have no formal tech background.

Everything I know about building software, I taught myself.

Right now, I’m working on a project that I genuinely love. It’s hard. I’m broke, I’m tired, and I’m working a full-time job while spending most of my remaining hours building this thing.

My biggest challenge isn’t the work itself. It’s my network.

The people around me tell me the idea is good, but I don’t have many people close to the startup or tech world to bounce ideas off of. I’m going to keep pushing regardless, but I’d really value honest feedback from people who have been there before.

Positive, negative, skeptical, encouraging; it doesn’t matter. If anyone is willing to spend 30 minutes taking a look at what I’m building, I’d be incredibly grateful.