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COMING UP

SF Open Source AI Week
Oct 18 - Oct 26

Newark Tech Week
Oct 12 - Oct 20

NY App Week
Oct 19 - Oct 22
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Nov 11 (Wed) @ 05:00 PM       FREE
NYU Stern School of Business, 44 W 4th St, Kaufman Management Center M2-100

 
      Register      
 
Take your idea from concept to launch in a series of interactive sessions. Leverage AI tools to build a live product, put it in front of users, & leave with honest feedback, concrete next steps, & the tools to keep going - no coding background required.

Who it is for
Current NYU students, Alumni, & Faculty

People who code & people who don't.

Anyone who wants to test an idea quickly & cheaply before committing time & money to it.

Key highlights
Hands-on from start to finish. Every session ends with something real in hand, not just notes.

Real customers, not guesses. Founders talk to 5 to 10 potential users & put a working product in front of them.

Two tracks. No-code founders build with tools like Lovable, Replit, v0 & Bolt. Founders who code use Claude Code or Cursor.

Honest checks built in. Founders open & verify every source, set their success target before the results come in, & have a second tool test every build.

A live product with a real ask. Each product goes live with a waitlist, pre-order or booking option.

Demo day. The series ends with founders presenting to guest founders & investors.

Tools they keep. Every founder leaves with the full Leverage kit & their own working setup.

What founders walk away with
A tested idea. Assumptions checked against real conversations & real data.

A live product MVP. Reviewed, tested, & in front of first users, or a clear & cheap "no."

A decision & a plan. Continue, change, or stop, backed by evidence, with the next 14-day test written out.

Their own working toolkit. Research, idea testing, building & review tools, set up & ready to use.

The Leverage kit. Every prompt & tool used in the series.

Good habits. Check the sources. Set the target first. Never let the builder grade its own work.

A cohort. A group of founders who built alongside them.

Session 1: Discover
Validate the problem before writing a single line of code. Turn your idea into clear hypotheses around target users, existing workarounds, & willingness to pay. Use AI to mine real customer complaints across online forums, fact-check the findings, stress-test your concept against multiple AI models, & draft your customer interview plan.

PARTICIPANTS LEAVE WITH

Written assumptions about the customer, problem, & willingness to pay

A problem report with sources they checked themselves

The three riskiest assumptions

An interview script

A list of 20 people to talk to, with 5 messages already sent

BETWEEN SESSIONS

Founders interview 5 to 10 potential users & sort what they hear into evidence for or against each assumption.
 
 
 
 
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