SaaSy Trends

SaaSy Trends is a SaaS market intelligence platform built by indie developer Dale Cudmore, using 'brand search volume growth' as its core metric to track and rank growth signals across 30,000+ SaaS companies. It calls itself 'the largest database of SaaS companies,' helping practitioners, founders, and investors find the biggest opportunities in niche markets.

Core Capabilities

• Brand search growth rankings: Identifies core brand terms and tracks Google search volume growth as an early warning of customer growth — hard to fake and ahead of earnings reports
• 30,000+ company database: Covers 30,000+ companies and 2,000+ categories, AI auto-categorizes and analyzes, with new additions continuing automatically
• Deep category exploration: A two-level category system (Analytics, AI, Finance top level down to niches like 'AI Agent Builder') to quickly locate category leaders
• Smart search and filters: Fuzzy search plus quoted exact search, sortable by category, growth, and more
• Watchlist: Star-track up to 100 SaaS products with a dashboard for centralized trend viewing
• Free growth case newsletter: 2-4 issues monthly dissecting fast-growing companies' positioning, moats, and growth strategies

Use Cases Indie developers validating ideas and finding niche gaps; marketers reverse-engineering competitors' growth strategies; angel investors mining early leads; product managers tracking the competitive landscape; SEO and content creators digging up the next SaaS worth writing about.

Unique Advantages Entering through a single metric, it answers the growth-signal questions G2/Capterra review sites cannot, and complements rather than replaces Ahrefs/SEMrush. A $29.99 lifetime buyout is nearly aggressive in a category where monthly fees are the norm, making trial cost extremely low.

Editorial Review GistDam's review called it a 'no-brainer buy,' Exploding Topics officially listed it on its 2026 alternatives list, and its Product Hunt launch took 260 upvotes. 4/5 recommended: a unique market view for the price of a meal — outstanding value. Deductions: single data dimension, no API, and monthly updates, insufficient for deep research teams — but for the target audience it is the best lightweight choice.