Lingchong Hu · 胡凌冲Lingchong Hu — Founder · Builder · Philadelphia
Deep in your industry? Let's talk AI — you name the need, we ship the working product.
AI deployment demos from real industries — and AI demos for everyday life.
Each one is a small bet on what people actually want — built fast to find out. Every demo ships with its logic, its business model, and an honest market read.
Open the gallery → lingchonghu.com/haowan-demosA short résumé.
Founder & CEO
Iterant AI, Inc. — Delaware
Incorporated the company, recruited the engineering team, set product architecture, and own the intent-classification system design. The work is moving from research mode to operating mode.
Marketing Lead
Deep-tech B2B startup
Built out two of the company's market-facing lines, and made the internal case for verticalizing around the automotive beachhead.
Lesson taken forward: a SaaS pricing model layered onto deep-tech B2B can produce negative unit economics for a year before the math is visible. Pricing is strategy, not a knob.
MCIT, Computer & Information Technology
University of Pennsylvania
Coursework across databases, AI, and big-data analytics — including CIS 5500, CIS 521, CIS 5450. STEM-designated; the formal training I needed to stop being a "non-technical founder" in any conversation that mattered.
Outside the classroom: hackathons, Penn's startup & VC community, and a deliberate habit of connecting alumni — the network that later opened real doors.
Personal Research Assistant to the Dean
USC Annenberg School for Communication and Journalism
Day-to-day support for the Dean: organizing research materials and preparing for meetings, keeping the minutes, and debriefing the academic reasoning afterwards.
Earlier — a venture I ran end to end, then shut down on purpose →
Notes on how AI actually lands.
The Ice-Cream Stalls in the Middle of the Beach
Why Silicon Valley-style fundraising inverts the logic of building — and how investors, founders, and talent can each act rationally yet add up to a collective zero. Field notes from what I have seen, tried, and learned.
Intent is the next input
Brain-computer interfaces, eye tracking, voice, EMG — every flashy new input modality runs into the same wall: the weight of habit. The real game isn't swapping hardware; it's reading what you actually want to do right now. That's intnt.
Accountable development
What does 'owning it' actually mean? Between AI-generated output and something you dare to ship, there is a gap. Whether you cross it by 'understanding it yourself' or by 'independent verification' — that is the judgment call we make on every project.