Preql is a legitimate, venture-backed (YC S22, Series A) data transformation tool with high utility for business intelligence teams. However, the submission itself is of extremely low quality, featuring hyperbolic and factually incorrect claims (e.g., 'most people have used my product', audience is 'everyone'). While external verification confirms the project's technical merit and market relevance, the submission's lack of serious data and red flags significantly penalize the final score, placing it in the range of early-stage/minimal traction despite its actual funding status.
Ready to Compete for $150k+ in Prizes?
Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes
Score Breakdown
Project Details
Algorithm Insights
Recommendations to Increase Usefulness Score
Document User Growth
Provide specific metrics on user acquisition and retention rates
Showcase Revenue Model
Detail sustainable monetization strategy and current revenue streams
Expand Evidence Base
Include testimonials, case studies, and third-party validation
Technical Roadmap
Share development milestones and feature completion timeline