
Open, attribution-licensed dataset of indie SaaS landing-page, pricing, and head-to-head analyses, structured for researchers, indie founders, newsletter writers, and academics studying the post-launch pre-revenue SaaS market. The dataset bundles five tables – funnel teardowns, pricing teardowns, head-to-head comparisons, named-competitor alternatives, and category roundups – each derived from public landing pages of real indie SaaS products and analysed through Russell Brunson's Hook / Story / Offer framework. Every row carries a dated lastVerified timestamp; no fabricated metrics, no quoted copy. Distributed as a single JSON bundle, a flat denormalised CSV, and five per-table CSVs with richer table-specific columns. Canonical landing, full schema descriptions, citation metadata, and conversion recipes for Parquet/Arrow/Excel live at https://unlocksaas.com/dataset.
Russell Brunson framework, indie SaaS, pre-revenue SaaS, Hook Story Offer, marketing dataset, open data, post-launch SaaS, funnel analysis, indie founder, competitive analysis, SaaS pricing, SaaS landing pages
Russell Brunson framework, indie SaaS, pre-revenue SaaS, Hook Story Offer, marketing dataset, open data, post-launch SaaS, funnel analysis, indie founder, competitive analysis, SaaS pricing, SaaS landing pages
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
