Co-Founder and Chief Business Officer at Architect. Building compute markets. UChicago MBA (derogatory), Biotech Bro, Midd Kid
ATL & Chicago
Joined September 2019
- Tweets457
- Following850
- Followers1K
- Likes1.6K
Nate Clancy retweeted
Today our Founder & CEO @BrettHarrison joins the @CFTC's inaugural Frontier Forum on super intelligence and agentic finance.
1:00–4:00 pm ET. Watch live: cftc.gov/Webcast/current
Nate Clancy retweeted
.@SinaAfra bir konuşmasında AI/inference tokenlarını toplu almanın ve ticaretini yapmanın gelecekte önemli bir yer tutacağından bahsetmişti.
Architect olarak bu geleceği liquidinference.ai üzerinden hayata geçirdiğimizi duyurmaktan mutluluk duyuyorum:
- 1-12 ay arası sabit fiyatla token rezervasyonu
- Sağlayıcılar en iyi fiyat ve SLA için yarışıyor
- ZDR, SOC2 gibi gizlilik ve uyumluluk seçenekleri
- Sağlayıcılarla uygulama içinden doğrudan pazarlık
- Kapasite aşılırsa spot piyasaya otomatik geçiş
Announcing Reservations on Liquid Inference. Inference buyers can now reserve batches of tokens in advance at fixed prices over any time period. Providers compete to offer the best terms and SLAs instantly. How it works:
• Enter a lock-in duration from 1 to 12 months
• Specify token rate and uptime requirements
• Select from ZDR, SOC2, and other compliance/privacy features
• Receive multiple quotes and terms
• Negotiate through in-app messaging directly with providers
• Optionally allow overage to automatically query the spot market
Providers benefit from standardized contracts, automated billing, SLA monitoring, and zero additional fees to participate. Check it out and let us know, we’re here for all feedback.
Nate Clancy retweeted
Liquid CLI + Oh My Pi is my go-to local harness setup now. It takes 3 commands to have everything ready under 5 minutes
- Install Liquid CLI
- liquid login
- liquid omp
Nate Clancy retweeted
I’m honored to speak at the @CFTC’s first Frontier Forum in DC next week. Looking forward to discussing the role of SI in US futures markets. Thank you to Chairman Selig and the Innovation Task Force.
Super intelligence is poised to transform our financial markets.
Through the @CFTC's inaugural Frontier Forum, we are bringing together leaders at the intersection of technology and finance to explore the opportunities and risks of super intelligence and help shape the next frontier of American financial innovation.
Read more about our first Frontier Forum on October 28:
cftc.gov/PressRoom/PressRele…
Nate Clancy retweeted
Holy sh*t, someone finally built a stock exchange for AI inference
If you're paying for any of these, read twice:
• Claude, GPT or DeepSeek API calls
• coding agents burning tokens 24/7
• inference for your own app
• evals or batch jobs
inference.ai.exchange makes providers bid on every request → your call auto-routes to the cheapest live offer
1B tokens a month: Claude $499 vs DeepSeek $1.80, and you see the lowest price for every model before you pay
OpenAI & Anthropic compatible, you just swap the base URL
I'm testing it on my agents rn, link in the comments 👇
🤝 Paid partnership
Nate Clancy retweeted
With open-weight model use surpassing frontier models among developers, even ahead of the IPOs, inference tokens are now behaving like commodities.
What if AI inference were priced like stocks?
@Architect_Fi Founder and CEO @BrettHarrison explains how an auction-based marketplace could drive down the cost of running AI models:
“In our version of this sort of competitive inference exchange, people can constantly move their prices around based on their marginal cost.”
Nate Clancy retweeted
The Liquid Inference router network is growing quickly. We now have 28 verified companies serving >1000 models, offering capacity dynamically and updating quotes in real-time. Average time for providers to onboard and integrate models is 3 hours, full verification within a day.
Nate Clancy retweeted
It was a pleasure working with @BrettHarrison and his team on our first deployment of Instant Inference.
We are grateful for @Architect_Fi's dedication to serving quality liquid commodities such as Instant.
Accelerate, no one can stop you now!
⚡️Instant is live on Liquid Inference.
@Architect_Fi's Liquid Inference runs requests through a live auction and Instant is now in the bidding.
Instant is actively serving accelerated GLM-5.3-Flash-Uncensored-FP8.
Lightning fast uncensored inference is now available! ↓
Nate Clancy retweeted
Easy to blow through token budgets
Early data shows @Architect_Fi ‘s Liquid Inference (LI) prices below OpenRouter 99% of the time
LI routes each prompt through a live auction across inference providers
Markets benefit from competition, making them efficient, which ultimately benefits end-users. A per-prompt auction forces providers to bid their true marginal cost every request, which is structurally more efficient than OR’s posted-price model
If you’re a builder / developer (or really anyone these days) you’ll benefit and should check out LI — quick & easy base-URL swap liquidinference.ai
Nate Clancy retweeted
Pearl Research Labs @prlnet is one of six launch providers on Liquid Inference, Architect's new LLM router, where inference providers compete to offer the lowest-cost tokens.
Pearl's certified models are built so the GPUs serving them can also mine $PRL.
We’re excited to launch Liquid Inference with some of the fastest-growing token producers in the ecosystem:
• Engy @engyai
• Pearl Research Labs @prlnet
• AkashML @akashnetAI
• Hyperbolic @hyperbolic_labs
• Boundless @BoundlessHQ
• Zro @zroai_
Nate Clancy retweeted
It’s been one day since the launch of Liquid Inference and we’ve doubled our provider network. We’re cheaper than OpenRouter for Kimi K3, DeepSeek V4.1 Flash, Qwen3.8 27B, and ~30 more models. Every new provider that joins increases price competition.
Nate Clancy retweeted
Excited to be a launch partner!
Nate Clancy retweeted
Inference markets have a lot of room for innovation. Excited to contribute through @zroai_ to this new product, pushing inference routing toward economic efficiency.
Congrats @BrettHarrison and Architect
Introducing Liquid Inference by Architect, a new LLM model router where inference providers compete dynamically to offer lowest-cost tokens. Providers onboard in minutes, not weeks. Buyers have full price visibility and receive 20% of referred fees in free inference. More info:
Liquid Inference can be used in place of any OpenAI or Anthropic API-compatible backend. Behind it, our team has leveraged our experience trading and building financial exchanges to create real-time two-sided price discovery for inference. Benefits for buyers and providers:
INFERENCE BUYERS
• Fully compatible with agentic coding tools: Claude Code, Codex, OpenCode, Cursor, Pi, Cline, and many more. Full multi-modal support.
• Hundreds of open- and closed-weight models. Create routing rule presets or use our Auto routing algorithms.
• Providers compete dynamically on price for every prompt, offering the lowest marginal cost.
• Sign up for free with email, first 500 users get $20 of free inference.
• Receive 20% of referred fees as free inference, 10% for second-level referrals.
INFERENCE PROVIDERS
• Onboard through the Liquid Inference app. We verify new providers in minutes, not weeks.
• All prompts are OpenAI API standard. Simple REST/Websocket API to register models and quotes.
• Update quotes dynamically based on your own costs. Monetize GPU capacity only when you want.
• Standardize payouts via Stripe, full itemized records of all jobs performed.
Nate Clancy retweeted
Looking forward to support @BrettHarrison with @engyai to make inference markets more efficient.
Inference need proper markets and im certain Brett is one of the most qualified persons out there to figure this out.
Proud to be a day-1 provider on @Architect_Fi. Inference need real markets and we're bringing capacity to help build them. Congrats @BrettHarrison and team.
Nate Clancy retweeted
Boundless is proud to be a launch partner and inference provider on @Architect_Fi’s Liquid Inference router.
Another way for builders to access low-cost inference. Congrats to the Architect team on the launch 🫡
Nate Clancy retweeted
Proud to be a day-1 provider on @Architect_Fi. Inference need real markets and we're bringing capacity to help build them. Congrats @BrettHarrison and team.
Nate Clancy retweeted
AkashML is the launch partner for @Architect_Fi’s Liquid Inference.
Every prompt is auctioned, and providers compete on price. The request routes to the lowest offer that meets the buyer’s rules.
OpenAI and Anthropic SDKs are compatible with one API key, where the price is locked before the first token.
Decentralized GPUs are now in a live inference market.
Introducing Liquid Inference by Architect, a new LLM model router where inference providers compete dynamically to offer lowest-cost tokens. Providers onboard in minutes, not weeks. Buyers have full price visibility and receive 20% of referred fees in free inference. More info:
Liquid Inference can be used in place of any OpenAI or Anthropic API-compatible backend. Behind it, our team has leveraged our experience trading and building financial exchanges to create real-time two-sided price discovery for inference. Benefits for buyers and providers:
INFERENCE BUYERS
• Fully compatible with agentic coding tools: Claude Code, Codex, OpenCode, Cursor, Pi, Cline, and many more. Full multi-modal support.
• Hundreds of open- and closed-weight models. Create routing rule presets or use our Auto routing algorithms.
• Providers compete dynamically on price for every prompt, offering the lowest marginal cost.
• Sign up for free with email, first 500 users get $20 of free inference.
• Receive 20% of referred fees as free inference, 10% for second-level referrals.
INFERENCE PROVIDERS
• Onboard through the Liquid Inference app. We verify new providers in minutes, not weeks.
• All prompts are OpenAI API standard. Simple REST/Websocket API to register models and quotes.
• Update quotes dynamically based on your own costs. Monetize GPU capacity only when you want.
• Standardize payouts via Stripe, full itemized records of all jobs performed.
Nate Clancy retweeted
The Compute Markets pod.
> why do we need compute markets
> 2017 crypto markets = 2026 compute markets (?)
> why finding GPUs takes so long
> what’s really bottlenecking AI
> what should Instinct do
> GPU lending
with @BrettHarrison + @andrawesbahou