TikiHut
A feedback intake and triage tool that turns messy product signals into clearer engineering priorities.
The Problem
Product teams often collect plenty of feedback but still struggle to separate noise from useful signals.
About
TikiHut is built around a familiar operational problem: feedback arrives from multiple places, with inconsistent detail and weak prioritization.
The product captures richer context at submission time and uses AI to help categorize, summarize, and surface what may deserve attention first.
It gives interns exposure to product tooling, cross-product operations, and the kinds of feedback loops that influence roadmap decisions.
Core Features
Claude AI Analysis
Every submission is automatically categorized, severity-scored 1–10, and paired with a specific engineering recommendation
One-Line Integration
Single script tag embeds the feedback widget on any website — works in 60 seconds
Rich Context Capture
Automatically captures 15+ signals: console errors, network speed, device type, scroll position
Telegram Command Center
Founders get instant AI-analyzed alerts and can approve, escalate, or dismiss with a single tap
Cross-Product Intelligence
One dashboard surfaces patterns across multiple products — identify systemic issues early
Priority Queue
AI-ranked backlog ensures highest-impact issues surface first — engineers focus on what matters
Tech Stack
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