ReviewFuel
Customer review intelligence platform that transforms authentic feedback into source-linked marketing assets and sentiment insights.

The Problem Addressed
Teams struggle to turn customer praise into usable marketing assets without losing traceability to real customer quotes or resorting to fabricated testimonials.
End-to-End Execution Flow
- 1Ingest customer reviews via CSV upload or structured API connection
- 2ReviewFuel analyzes sentiment, extracts recurring themes, and categorizes feedback
- 3Select specific source reviews to anchor marketing asset generation
- 4Export verified proof-backed testimonials, case study snippets, and feature insights
Verified Technical Features
- Source-connected evidence ledger binding generated claims directly to ingested customer reviews
- Multi-channel review ingestion from CSV, direct input, and authorized API endpoints
- Automated sentiment classification, keyword extraction, and topic clustering
- Marketing asset generator producing social proof snippets with verifiable quote references
- Multi-tenant analytics dashboard displaying sentiment trajectories and feature requests
Technical Architecture
React 19 single-page application communicating with an Express REST API. Drizzle ORM manages relational review schemas and evidence link tables on PostgreSQL. Sentiment models process review batches asynchronously.
Natural language processing models extract sentiment polarity and topic clusters from verified review text. Generative copy tools strictly reference cited source reviews.
Security Posture
Multi-tenant database schema isolation, sanitized input parsing for CSV/JSON ingestion, and authenticated REST endpoints with rate limiting.
Azura Heaven
prototypeUpcoming AveroLab build currently in early development. Details, screenshots, and the live site will be published when the first production release is ready.
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