Huint has a sharp, practical vision: bridging AI agents with real-world context through nearby humans doing simple, verifiable tasks like photos and observations.
Direction is smart — focused iOS start for safety and proof, then richer observations. Integrations with Claude/agent workflows show good product thinking for operators.
Honest take: Two-sided network effects are the make-or-break. Build density and consistent quality early, and this becomes useful infrastructure for grounded agents. Promising execution so far.
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.
Anyone attending the Iran vs Egypt match?
There are live tasks on the Huint app right now.
Download Huint, complete a task, and earn some extra spending money while the match is on.
Real tasks. Real places. Real money.
#Huint#IranVsEgypt#WorldCup
I think AI has a blind spot worth Billions
Everyone is racing to build smarter AI, but the biggest limitation isn’t reasoning.
It’s reality.
An AI can’t look at a storefront, verify a shipment, check if a shelf is empty, or confirm what happened five minutes ago without a person there.
That’s why I built Huint.
Instead of replacing people, Huint lets AI hire people nearby to verify what’s happening in the physical world.
Am I overestimating how important real-world verification will become, or is this an inevitable part of the AI stack?
@agentmail I’m still early in the startup phase, but I think your product could fit really well into Huint’s toolset.
Right now, agents receive results by calling an RPC endpoint, but I think supporting an agent email as a callback destination would be a great addition. It would make integrations much more flexible for agents and automated workflows that are already email-driven.
Location unlocked photo tasks have been submitted to the App Store for Huint v1.0.1.
This update makes the app faster, more capable, and moves us closer to the experience we’ve been building toward. It was a crazy build week, so here’s hoping for a quick approval.
If you’re following the journey, I’d appreciate an RT. Have questions about Huint or ideas for future task types? Drop them below.
Road to our first 100 engaged followers.