Indie SaaS Teardowns Dataset

What’s in the bundle

Five tables, each a re-projection of a public surface on https://unlocksaas.com. Every row is independently verifiable by visiting the matching page and carries a dated lastVerified field.

Per-table CSV downloads

One file per table, with columns tailored to that record type’s structure. Use these when you only need one slice and want richer columns than the universal flat CSV exposes. Same CC-BY-4.0 license; versioned filenames; stable append-only column contracts.

• Funnel teardowns

  funnel-teardowns.csv · 27 columns · 33 rows
  Download
• Pricing teardowns

  pricing-teardowns.csv · 29 columns · 31 rows
  Download
• Head-to-head comparisons

  comparisons.csv · 22 columns · 61 rows
  Download
• Named-competitor alternatives

  alternatives.csv · 17 columns · 32 rows
  Download
• Category buckets

  categories.csv · 8 columns · 13 rows
  Download

CSV column contract

Stable, append-only order. Once published, a column may gain new optional values but its position never moves.

1. record_type
2. slug
3. name_a
4. name_b
5. category
6. one_line
7. tldr
8. creator
9. homepage_url_a
10. homepage_url_b
11. tags
12. last_verified
13. canonical_url
14. markdown_url

License and attribution

Released under the Creative Commons Attribution 4.0 International license (CC-BY-4.0). You may copy, redistribute, remix, transform, and build upon the material for any purpose, including commercial — provided you give appropriate credit.

Required attribution. Paste this string in a footnote, methods note, or page footer:

Source: Unlock SaaS — Indie SaaS Teardowns Dataset (https://unlocksaas.com/dataset). Licensed under CC-BY-4.0.

Cite this dataset

Pick the format your reference manager uses. Every citation points at the stable permalink unlocksaas.com/cite/dataset-indie-saas-teardowns-v1-0-0 – use that URL if you need the citation to outlive a future canonical-URL change.

Maryan. (2026, July 18). Indie SaaS Teardowns Dataset (Version 1.0.0). Unlock SaaS. https://unlocksaas.com/dataset

Maryan. "Indie SaaS Teardowns Dataset, version 1.0.0." Unlock SaaS, 18 July 2026, unlocksaas.com/dataset. Accessed 24 August 2026.

Maryan. "Indie SaaS Teardowns Dataset, version 1.0.0." Unlock SaaS. Last modified July 18, 2026. https://unlocksaas.com/dataset.

@misc{unlocksaas_indie_saas_teardowns_1_0_0,
  author       = {Maryan},
  title        = {{Indie SaaS Teardowns Dataset}},
  howpublished = {\url{https://unlocksaas.com/dataset}},
  year         = {2026},
  doi          = {10.5281/zenodo.20315741},
  note         = {Version 1.0.0. Licensed under CC-BY-4.0.}
}

TY  - DATA
ID  - dataset-indie-saas-teardowns-v1-0-0
AU  - Maryan
TI  - Indie SaaS Teardowns Dataset
PY  - 2026
DA  - 2026/07/18
PB  - Unlock SaaS
UR  - https://unlocksaas.com/dataset
AB  - An open editorial dataset of indie SaaS marketing analysis: funnel teardowns, pricing teardowns, head-to-head comparisons, named-competitor alternative pages, and canonical category buckets. CC-BY-4.0 licensed, JSON and CSV downloads, every row independently verifiable.
LA  - en-US
M3  - Open dataset
ET  - 1.0.0
N1  - Licensed under CC-BY-4.0.
Y2  - 2026/08/24
ER  - 

[
  {
    "id": "dataset-indie-saas-teardowns-v1-0-0",
    "type": "dataset",
    "title": "Indie SaaS Teardowns Dataset",
    "abstract": "An open editorial dataset of indie SaaS marketing analysis: funnel teardowns, pricing teardowns, head-to-head comparisons, named-competitor alternative pages, and canonical category buckets. CC-BY-4.0 licensed, JSON and CSV downloads, every row independently verifiable.",
    "URL": "https://unlocksaas.com/dataset",
    "author": [
      {
        "literal": "Maryan"
      }
    ],
    "publisher": "Unlock SaaS",
    "issued": {
      "date-parts": [
        [
          2026,
          7,
          18
        ]
      ]
    },
    "accessed": {
      "date-parts": [
        [
          2026,
          8,
          24
        ]
      ]
    },
    "language": "en-US",
    "version": "1.0.0",
    "license": "CC-BY-4.0 <https://creativecommons.org/licenses/by/4.0/>"
  }
]

How this was built

Every row is a re-projection of a shipped page on https://unlocksaas.com. The editorial standard (sourcing, dating, corrections, no fabricated metrics) is documented at the editorial policy. If you spot a factual error, please open a correction request via the contact page and it will be logged in the public corrections log.

• Author: Maryan, Founder, Unlock SaaS
• Last verified: 2026-07-18
• Next editorial review: 2026-10-16
• Version: v1.0.0 (SemVer, additive-only)
• Markdown summary for AI agents: /dataset.md

Catalog mirrors

The dataset is mirrored on recognised DataCatalogs so a researcher already searching one catalog finds the same corpus without leaving their tool. Each mirror is the same CC-BY-4.0 content under a parallel URL; the canonical citation always resolves back to https://unlocksaas.com/dataset.

• GitHub (public mirror, weekly auto-PR)

  A public mirror repository with a weekly auto-PR refresh workflow. Every Monday at 06:00 UTC the mirror's workflow pulls the canonical files from this page and opens a pull request if anything changed. Forks of the mirror create inbound links back to https://unlocksaas.com/dataset.

  View on GitHub →
  Live at https://github.com/kindrat86/indie-saas-teardowns-dataset
• Hugging Face Datasets

  Pre-built dataset card + per-table CSV upload list. Auto-converts to Parquet via HF Datasets Server.

  Submission flow
  Submission scheduled. Operator activation flow at /dataset/huggingface.
• Zenodo (CERN open-research repository)

  Mints a persistent DOI on deposit. DOIs are the strongest dataset identifier class Google Dataset Search recognises, and the canonical citation form every academic reference manager pivots on.

  Submission flow
  DOI: 10.5281/zenodo.20315741 · Live at https://zenodo.org/records/20315741

Derived analyses

Open research pieces built on top of this corpus. Each is independently citable with its own pinned version, rubric, and permalink so a future change to either the corpus or the analysis does not break a paper that quotes it.

• Funnel Hook Distribution v1.0.0 – 5-axis structural rubric applied to every brunsonLens.hook pattern in the corpus. Methodology, per-pattern scores, and histogram open.

Want Parquet, Arrow, or Excel?

Convert the CSV with one line. We do not ship binary distributions because we cannot guarantee version-stable serialization for them without locking a runtime dependency we do not otherwise need.

# Parquet (pandas + pyarrow)
import pandas as pd
df = pd.read_csv("https://unlocksaas.com/dataset/indie-saas-teardowns.csv")
df.to_parquet("indie-saas-teardowns-v1.0.0.parquet")

# DuckDB (zero-dep, in-memory)
duckdb> SELECT record_type, COUNT(*)
        FROM read_csv_auto('https://unlocksaas.com/dataset/indie-saas-teardowns.csv')
        GROUP BY record_type;