Spoofou is a tool I’m building to answer a question I keep asking myself:
“Is this actually a real problem for real people?”
Instead of guessing what to build next, Spoofou listens.
It analyzes real conversations on Reddit and extracts recurring pain points, missing features, and broken workflows — at scale.
Why I built it
Most product ideas start with:
- assumptions
- gut feelings
- or isolated anecdotes
I wanted something more grounded.
People already talk openly online about tools that frustrate them and problems they can’t solve. Spoofou exists to capture those signals and turn them into something builders can actually act on.
No hype. No trend-chasing. Just problems, written in plain language by real users.
What it does
- Subreddit monitoring
You choose which communities to follow — niche, technical, or mainstream. - Daily AI analysis
New posts are scanned continuously using LLMs, filtering out noise and highlighting genuine pain points. - Smart summaries
Each report clusters problems, extracts themes, and highlights why they matter. - Signal enrichment
Posts are tagged, scored by confidence, and linked back to the source — so you can judge relevance yourself. - Trend awareness (in progress)
Upcoming features include trend tracking, sentiment shifts, and competitor mentions across platforms.
Design principles
- Start from real conversations
- Validate before building
- AI for synthesis, not speculation
- Builders stay in control of interpretation
Spoofou doesn’t tell you what to build.
It helps you understand what hurts — and decide if it’s worth solving.
Currently in private beta.
Built slowly, tested on my own ideas first, and shared with other builders who prefer listening over guessing.
Still early — but already changing how I think about product discovery.