Three small products I built to explore where AI can make venture workflows faster, more reliable, and more evidence-driven.
01
ListenR
MVP Beta · MCP
Searches your keywords and finds recurring market signals across online communities.
Problem
Useful customer, market, and investment signals are scattered across thousands of posts and discussions.
Why it matters
Repeated pain points and community behavior can reveal opportunities that individual posts miss.
What I built
An AI research tool that turns scattered conversations across online communities into usable market signals. Search by keyword to find recurring pain points, emerging patterns, and relevant posts that can inform product decisions or investment research. Can be accessed through MCP.
Secured byCloudflareSign-in byClerkEasy MCP access from ClaudeChatGPT published soon
ListenR demo
02
FactProof
MVP Beta · Chrome extension in testing
Checks factual claims before LP emails are sent.
Problem
Numbers and claims in LP communication can easily drift from the underlying source data.
Why it matters
Emails are not reversible. One incorrect or unsupported claim can create trust and compliance risk.
What I built
A web app and Chrome extension that checks emails against confirmed Decile data. The extension runs inside the Decile app; the web app works through the Decile API or pasted text.
Turns customer conversations into structured product-validation evidence.
Problem
Customer interviews contain valuable signals, but interpreting them consistently is difficult.
Why it matters
Founders and investors need evidence of demand, not just positive anecdotes.
What I built
An AI transcript analyzer that identifies validation signals from customer interviews, cites supporting evidence, produces a validation score, and gives a concise recommendation.