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yconic AI — REQUEST FOR HACKS

yconic AI's

BIG CASH/NVIDIA

AI Startup Hackathons

14 Ideas That Will Define
the Next Era of Innovation

One Release triggered a $285 Billion market crash.
One Hackathon can trigger $285 Billion in market caps.

Move fast, ship value, let the infrastructure catch up later.

$10 - $50K Cash PrizesNVIDIA DGX Prizes14 Request for Hacks6 HoursShip It UglyIntent EngineeringAnti-SaaS100x Thinking
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01 — THE THESIS

Don't automate the existing system.
Replace it with something that makes the old system look absurd.

The founders who win in 2026 aren't the ones building the safest systems. They're the ones building systems that are so useful, so fast, and so clearly better than the alternative that the market drags the infrastructure forward to support them — just like it always has.

The iPhone had no copy-paste. Facebook launched without privacy controls. The pitch isn't "we make things 10% better." The pitch is: we make the current way look as primitive as the telegraph.

🚀
Ship It Ugly
Ship it fast. The moat isn't in polish — it's in being first.
💥
Product-Market Violence
PMF so violent it overwhelms every objection.
🎯
End-to-End Execution
Agents that complete the entire job. Not demos.
🧬
100x Thinking
Make the old system look absurd in retrospect.

02 — yconic | 14 REQUEST FOR HACKS

The sectors that will define —
the next 10 to 50 years.

yconic's "Request for Hacks" is a strategic initiative to identify and support hackers and founders in specific, high-potential sectors that yconic believes are critical right now and will drive society for 10 to 50 years. Request for Hacks is a curated list guiding hackers and founders to build in areas where AI can revolutionize, innovate and disrupt.

BiggieFoot

03 — THE FOUNDER EDITION

Four ideas that define founder-era AI.
Each one can create a billion-dollar company.

🦞
01

Let's Cook OpenClaw

It Was Just The Appetizer
THE THESIS
400,000 users in weeks. Not because it was polished. Because it was useful. One developer shipped what billion-dollar companies couldn't. Still, that was just the beginning. Now it's time to cook it.
THE INSIGHT
Open Claw is dead, it just doesn't know it yet. Open Claw isn't the final boss. That will be created by you. The agentic orchestration era is just getting started — and the teams that master multi-agent coordination now will own the next decade of software. Every industry has a $100B workflow held together by duct tape and human babysitting. That's not a problem. That's an invitation. It's time to cook!
WHAT TO BUILD
Agents that don't assist — they execute. Full-stack autonomous systems that eliminate entire workflow chains. A sales agent that doesn't schedule meetings — it closes deals. A real estate agent that doesn't send listings — it negotiates, drafts offers, and coordinates closing. A healthcare agent that doesn't flag prior authorizations — it fights the insurance company and wins. Stop building copilots. Build the pilot. The era of "AI-assisted" is over. We're building AI-empowered!
THE MOAT
You capture the whole workflow, not a slice of it. An agent that just schedules meetings touches one step. A swarm of agents that serves as an exoskeleton for your mind and your end to end needs is revolutionary. Once you own the full chain, you own every data point generated across it. Switching costs become impossible. That data becomes proprietary.
🤖
02

Agents That Hire Agents

Self-Assembling AI Workforces
THE THESIS
The future isn't humans orchestrating agents from dashboards. It's agents orchestrating each other — and occasionally pulling in humans when they need hands or a signature.
THE INSIGHT
The entire agentic orchestration conversation has been hijacked by enterprise architects designing cathedrals while the bazaar is already open.
WHAT TO BUILD
Systems where agents dynamically recruit, delegate to, and manage other agents — and humans — based on the task at hand. Emergent orchestration, not static.
THE MOAT
The staffing agency of the AI era. The first company to build where agents hire agents owns the future of work itself.
💀
03

The Anti-SaaS

Sell the Outcome, Kill the Subscription
THE THESIS
When 10 AI agents do the work of 100 humans, you don't need 100 seats. The software doesn't get replaced — the humans who generate the revenue get replaced.
THE INSIGHT
Every SaaS company praying that AI features will save them is actually accelerating their own destruction by making their customers more efficient.
WHAT TO BUILD
Outcome-based businesses that charge for completed work. Not '$200/seat/month' but 'we'll manage your entire pipeline and you pay per closed deal.'
THE MOAT
Don't build software at all. Your moat is domain expertise, customer relationships, and delivering results while competitors deliver subscriptions.
🎯
04

Intent as Code

The Real OS for the Agent Era
THE THESIS
Klarna didn't fail because they lacked governance. They failed because they told their AI 'resolve tickets fast' when they actually meant 'build relationships that maximize lifetime value.'
THE INSIGHT
The company that encodes its intent fastest wins. Intent Engineering isn't the boring third discipline — it's the only one that matters.
WHAT TO BUILD
Tools that let organizations encode their intent at the speed of thought. Culture-as-code. A config file for organizational DNA that every agent inherits.
THE MOAT
An AI workforce that shares your judgment, not just your data. An unfair advantage that compounds every day.
LLaMa

04 — THE 100x EDITION

Ten ideas that don't improve the system —
they make it look absurd in retrospect.

The automobile didn't make horses faster. The iPhone didn't make flip phones better. These ideas don't make today's workflows more efficient — they make us wonder why we ever did things the old way at all.

🧠
05

The Product That Builds Itself

Self-Evolving Products with a Nervous System
Products that watch users in real-time, identify pain points they can't articulate, design solutions, ship to test cohorts, measure response, iterate — all while you sleep.
BUILD: Self-evolving products where every click, rage-quit, support ticket, and churn event is a signal that triggers autonomous improvement.
📈
06

The Fund That Never Sleeps

AI That Thinks in Dimensions Humans Can't See
The biggest alpha isn't in public markets. It's in private markets where information asymmetry is massive. Evaluate 50,000 startups based on signals no VC would ever catch.
BUILD: AI-native funds that bring public-market speed to private-market deals. A new asset class.
👤
07

The One-Person Billion-Dollar Company

One Founder. An Army of Agents.
What happens when any individual can deliver the output of a 500-person firm? Investment banking pitch books in 20 minutes. Legal reviews for $500 instead of $50,000.
BUILD: One-person category killers. No headcount. No office. Domain expertise + AI leverage + relentless execution.
🌍
08

The Parallel Financial System

Making Banks Optional for 3 Billion People
Stablecoins don't just make services cheaper. They make it possible to build an entirely parallel financial system that operates 24/7, settles instantly, crosses every border.
BUILD: A stablecoin-native savings account on a $30 smartphone. Cross-border remittances in seconds at 1% instead of 8%.
🏛️
09

Government as an Agentic Army

Automate 50% of Everything
Leverage agentic orchestration to automate and elevate government via safe, secure and self-thinking software that nails intent and need.
BUILD: Government reimagined as a service layer — an API that citizens interact with seamlessly.
🎯
10

The Bounty Hunter Network

Decentralized Fraud-Hunting
The government loses tens of billions to fraud annually. The False Claims Act lets anyone file a lawsuit and keep a percentage. That's the biggest bounty program nobody has built the marketplace for.
BUILD: AI agent swarms that continuously scan for probable fraud cases, then surface them to qualified whistleblowers and law firms.
🏭
11

The Factory That Downloads

Micro-Factories That Make Geography Irrelevant
What happened to media when production went digital? The barrier to entry collapsed. Now apply that to physical manufacturing.
BUILD: Shipping container-sized manufacturing units that arrive, connect to power, download production specs, and start fabricating.
🎓
12

Instant Expert

30 Years of Expertise, Downloaded Instantly
The difference between a first-year electrician and a 30-year master is pattern recognition. What if you could download those 30 years into anyone?
BUILD: Systems that capture expert knowledge through wearables and distill it into real-time guidance. Break the labor shortage overnight.
🌐
13

The Physical World, Programmable

Spatial Intelligence as Infrastructure
A two-year-old can walk into any room and instantly understand physics, causality, what will fall if pushed. No current AI comes close.
BUILD: The iOS moment for the physical world. The spatial intelligence platform everyone else builds on top of.
🧬
14

Every Company Owns Its Own Intelligence

The Shopify of Custom AI
1995: building a website required engineers and six months. Then came WordPress. Then Shopify. That trajectory is about to happen for AI models.
BUILD: Any business owner trains a custom AI from their own data without writing code. Democratizing intelligence itself.
UniCorn

05 — THE COMPUTE

NVIDIA DGX Spark.
Petaflop AI on your desk. Zero data leakage.

Every team gets access to DGX Spark clusters. The same compute that powers frontier AI research — now powering your breakthrough hack. Enterprise trust that cloud can never deliver.

🔥
Grace Blackwell
Latest architecture, maximum performance
💾
128GB Unified
Memory per node for massive models
Petaflop-Class
Real-time inference at scale
🔒
Zero Data Leakage
On-prem means your data stays yours
DGX SPARK AWARD CRITERIA

Startups that leverage NVIDIA DGX Sparks significantly to produce a breakthrough hack innovation will win a DGX Spark along with their cash prize.

Not just using compute — but using it to build something that couldn't exist without on-prem AI infrastructure.

Abomieble

06 — THE BOUNTIES

$50,000 in non-dilutive capital.
DGX Sparks for breakthrough innovation.

Cash + compute for the teams that build something that makes the old system look absurd.

🏆
🥇 GRAND CHAMPION
$25,000
non-dilutive capital from yconic
+ NVIDIA DGX Spark
For significant DGX leverage
Built something that makes the old system look absurd
Shipped ugly, shipped fast, shipped real
Product-market fit so violent it overwhelms objection
Clear path to 100x, not 10% improvement
Most ready to build, ship, and scale immediately
🥈 2ND PLACE
$10,000
non-dilutive + DGX Spark potential
Strong technical build with clear differentiation
Validated problem with early traction signals
Positioned for near-term launch and growth
🥉 3RD PLACE
$1,000
non-dilutive + DGX Spark potential
Promising foundation with meaningful innovation
Clear problem-solution alignment
High-potential team with momentum
REMAINING $14,000 POOL
RFH Track Winners • Best Agent Architecture • Most Contrarian Idea • Best Anti-SaaS Play • Best Intent Implementation • People's Choice
ALL PARTICIPANTS
Working hack + intent schema + distribution plan + pitch deck
$50K TOTAL
LLaMa

07 — THE 6-HOUR WARPLAN

6 months of innovation in 6 hours.
Ship it ugly. Ship it fast. Ship it now.

Every minute mapped. No wasted cycles. The infrastructure catches up later.

0:00–0:30
IGNITION
30 min
Request for Hacks briefing — pick your revolution
Team formation + DGX Spark cluster assignment
Intent Canvas activation
First customer identification begins
0:30–2:00
HYPERBUILD
90 min
Full-stack MVP construction on DGX Spark
Agent orchestration architecture
Intent layer encoding
Data flywheel seeding
2:00–4:00
SHIP IT
120 min
Deploy live — domain, payments, everything
Distribution channel integration
10K Digital Customer stress test
Polish is for later — ship what works
4:00–5:30
VALIDATE
90 min
Real user testing + iteration
Intent alignment audit
Revenue signal capture
Pitch deck auto-generation
5:30–6:00
LAUNCH
30 min
Live demos to judges + investors
5 min demo, 3 min Q&A
Winners announced
Acceleration begins immediately
yconic AI — REQUEST FOR HACKS

The pitch isn't "we make things 10% better."

The pitch is: we make the current way look as primitive as the telegraph.

Move fast. Ship value. Let the infrastructure catch up later.
The founders who win in 2026 aren't the ones building the safest systems.

yconic AI © 2026 — Claude Arnell Milhouse, CEO
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