This dataset requires a paid license. Please purchase access at the link below and provide your Hugging Face username. Once purchased, submit an access request on this page. Access is granted manually.

One Million Passive Income Opportunities Dataset

A source-backed one-million-row dataset for comparing passive-income and semi-passive online opportunity variants across digital products, marketplace categories, creator monetization paths, and productized automation workflows.

Each row represents a specific opportunity variant built from public marketplace listings, public marketplace taxonomies, public workflow template pages, or official platform monetization documentation. The dataset is designed for research, comparison, dashboard building, content planning, and opportunity screening. It does not guarantee income, profitability, traffic, sales, or business success.

This published run includes 1,000,000 rows. The one-million-row output is created by deterministic expansion of public, source-backed seed opportunities into monetization, packaging, audience, and positioning variants.

Dataset Preview

opportunity_id	opportunity_title	opportunity_category	opportunity_subcategory	monetization_model	target_audience	buyer_problem	example_offer	platform_or_channel	source_url	source_name	source_type	startup_cost_bucket	skill_level_bucket	time_to_launch_bucket	time_to_revenue_bucket	upfront_work_intensity_score	maintenance_intensity_score	automation_potential_score	passive_potential_score	competition_intensity_score	platform_dependency_score	scalability_score	fulfillment_complexity_score	content_dependency_score	paid_adjacency_signal	search_demand_signal	risk_notes	source_confidence_score	collection_date
gumroad-gumroad-2696c5dadd139ebd-bundle-asset-bundle-beg-ever	AI MASTERCLASS \| bundle sales \| asset bundle \| beginner buyers \| evergreen angle	AI resources	Prompt packs and AI workflow assets \| asset bundle \| evergreen angle	Bundle sales	beginner buyers researching ai users, marketers, and operators	Beginner buyers want a source-backed way to solve operators want reusable prompt systems that reduce... [46 more chars]	Asset bundle for AI MASTERCLASS sold as a bundle sales	Gumroad	https://vincentschwenk.gumroad.com/l/ai_for_artists?layout=discover&recommended_by=search \| https:/... [21 more chars]	Gumroad Discover \| Gumroad Discover	Public digital product marketplace listing \| Public digital product marketplace search	Medium	Medium	Medium	Short	48	22	88	90	85	88	88	10	40	True	medium	Research only. Public source grounding exists, but platform rules, execution quality, and competitio... [52 more chars]	88	2026-06-05 00:00:00+00:00
automation-zapier-348ee2a2418b2217-template-library-agents-agency-one-time	Auto-post Fathom team meeting notes to Slack \| template library sale \| agent library \| agencies ... [16 more chars]	Automation workflows	General no-code workflows \| agent library \| one-time scope	Workflow template pack	agencies researching small businesses, consultants, and no-code builders	Agencies want a source-backed way to solve buyers want a repeatable way to auto-post fathom team mee... [40 more chars]	Agent library for Auto-post Fathom team meeting notes to Slack sold as a template library sale	Zapier	https://zapier.com/templates/details/team-meeting-notes-automation-fathom-ai-slack \| https://zapier... [14 more chars]	Zapier Templates \| Zapier Templates	Public automation template library listing \| Public automation template directory	Medium	Medium	Medium	Medium	52	32	94	62	56	86	88	42	20	True	high	Research only. Public source grounding exists, but platform rules, execution quality, and competitio... [61 more chars]	82	2026-06-05 00:00:00+00:00
gumroad-gumroad-ff97a34582044fc9-bundle-asset-bundle-beg-ever	Adjustable Mannequin v1.3 - Blender 4.3+ \| bundle sales \| asset bundle \| beginner buyers \| everg... [10 more chars]	Creative assets	3D assets and design files \| asset bundle \| evergreen angle	Bundle sales	beginner buyers researching 3d artists, game developers, and creative-tool buyers	Beginner buyers want a source-backed way to solve creators want ready-made production assets that sh... [43 more chars]	Asset bundle for Adjustable Mannequin v1.3 - Blender 4.3+ sold as a bundle sales	Gumroad	https://vertexarcade.gumroad.com/l/adjustable-mannequin?layout=discover&recommended_by=search \| htt... [25 more chars]	Gumroad Discover \| Gumroad Discover	Public digital product marketplace listing \| Public digital product marketplace search	Medium	Medium	Medium	Short	48	22	88	90	95	88	88	10	40	True	medium	Research only. Public source grounding exists, but platform rules, execution quality, and competitio... [52 more chars]	88	2026-06-05 00:00:00+00:00
creator-youtube-0101e9118b67a234-owned-shopping-companion-beg-evergreen	3D assets and Blender resources \| owned-product shopping path \| downloadable companion \| beginner... [37 more chars]	Creator monetization	3D assets and Blender resources \| downloadable companion \| evergreen backlog cadence	YouTube Shopping for owned products	beginner viewers researching 3d artists, game developers, and creative-tool buyers	Beginner viewers want a source-backed way to solve creators want ready-made assets that speed up ren... [57 more chars]	Downloadable companion for 3D assets and Blender resources sold as a owned-product shopping path	YouTube	https://support.google.com/youtube/answer/12257682 \| https://gumroad.com/discover?query=3d+model \|... [48 more chars]	YouTube Help \| Gumroad Discover \| YouTube Help	Official monetization documentation plus public digital product marketplace search \| Official monet... [21 more chars]	Medium	Medium	Medium	Medium	66	60	58	62	78	90	88	34	94	True	high	Research only. Public source grounding exists, but platform rules, execution quality, and competitio... [67 more chars]	72	2026-06-05 00:00:00+00:00
gumroad-gumroad-827d30d2e820fa71-bundle-asset-bundle-beg-ever	Architecture Presentation Board Template (A0-A3) #1 \| bundle sales \| asset bundle \| beginner buye... [21 more chars]	Digital products	Templates and planning systems \| asset bundle \| evergreen angle	Bundle sales	beginner buyers researching digital-product buyers looking for time-saving or skill-specific reso...	Beginner buyers want a source-backed way to solve buyers want a polished digital asset or shortcut t... [46 more chars]	Asset bundle for Architecture Presentation Board Template (A0-A3) #1 sold as a bundle sales	Gumroad	https://creativearchitect.gumroad.com/l/CanvatemplateA1?layout=discover&recommended_by=search \| htt... [25 more chars]	Gumroad Discover \| Gumroad Discover	Public digital product marketplace listing \| Public digital product marketplace search	Medium	Medium	Medium	Short	48	22	88	90	92	88	88	10	40	True	medium	Research only. Public source grounding exists, but platform rules, execution quality, and competitio... [52 more chars]	88	2026-06-05 00:00:00+00:00

Access Requirements (Paid Dataset)

This dataset is behind manual gated access.

To obtain access:

Purchase the dataset here:
https://thearticulated.gumroad.com/l/one-million-passive-income-opportunities
Provide your Hugging Face username at checkout.
Return to this Hugging Face page and click:
"Request Access"
Your access will be approved within 1-12 hours.

Once approved, you can use the Python snippet at the bottom of this README to load the dataset.

Dataset Structure

Total rows: 1,000,000

Total columns: 30

Splits

data: 1,000,000 rows

Data Files

data: data/data.parquet

Data Dictionary

The table below describes the columns included in this dataset.

column	pandas_dtype	dataset_type	description
opportunity_id	object	string	Text column. Stable unique identifier for the opportunity row.
opportunity_title	object	string	Text column. Customer-readable title describing the specific passive-income or semi-passive opportunity variant.
opportunity_category	object	string	Text column. Top-level opportunity grouping such as digital products, education resources, creator monetization, or automation workflows.
opportunity_subcategory	object	string	Text column. More specific opportunity niche or taxonomy path used to segment rows inside the broader category.
monetization_model	object	string	Text column. Primary revenue model for the row, such as digital product sales, memberships, course sales, template packs, or productized automation.
target_audience	object	string	Text column. Best-effort description of the likely paying customer or operator segment for the opportunity.
buyer_problem	object	long text	Free-text column containing longer text values. Problem or workflow pain point that the opportunity appears to solve for the customer.
example_offer	object	string	Text column. Example product, content angle, workflow offer, or package that illustrates the opportunity.
platform_or_channel	object	string	Text column. Primary platform or channel attached to the opportunity, such as Gumroad, Teachers Pay Teachers, Zapier, or YouTube.
source_url	object	long text	Free-text column containing longer text values. Public source URL or pipe-delimited source URLs that grounded the row.
source_name	object	string	Text column. Public source name or pipe-delimited source names used for the row.
source_type	object	string	Text column. Description of the public source type, such as marketplace listing, marketplace taxonomy, workflow template library, or official monetization documentation.
startup_cost_bucket	object	string	Text column. Bucketed estimate of the upfront cash cost required to start the opportunity.
skill_level_bucket	object	string	Text column. Bucketed estimate of the skill depth needed to launch the opportunity responsibly.
time_to_launch_bucket	object	string	Text column. Bucketed estimate of how long it may take to produce a launchable first version.
time_to_revenue_bucket	object	string	Text column. Bucketed estimate of how long it may take before the opportunity can plausibly generate revenue.
upfront_work_intensity_score	int64	integer	Whole-number numeric column. Directional score from 0 to 100 estimating how much front-loaded work the opportunity usually requires.
maintenance_intensity_score	int64	integer	Whole-number numeric column. Directional score from 0 to 100 estimating ongoing upkeep after launch.
automation_potential_score	int64	integer	Whole-number numeric column. Directional score from 0 to 100 estimating how much of the workflow can be templatized, systemized, or automated.
passive_potential_score	int64	integer	Whole-number numeric column. Directional score from 0 to 100 estimating how passive the opportunity can become after initial setup.
competition_intensity_score	int64	integer	Whole-number numeric column. Directional score from 0 to 100 estimating how crowded the opportunity appears based on public source signals and marketplace density.
platform_dependency_score	int64	integer	Whole-number numeric column. Directional score from 0 to 100 estimating how dependent the opportunity is on one main platform's rules or discovery systems.
scalability_score	int64	integer	Whole-number numeric column. Directional score from 0 to 100 estimating how well the opportunity can scale without matching labor growth one-for-one.
fulfillment_complexity_score	int64	integer	Whole-number numeric column. Directional score from 0 to 100 estimating how hard delivery, onboarding, support, or updates may be.
content_dependency_score	int64	integer	Whole-number numeric column. Directional score from 0 to 100 estimating how much continued content production is required.
paid_adjacency_signal	bool	boolean	True/false column. Boolean signal that public sources already show buyers spending money, subscriptions, or software budget in the same opportunity lane.
search_demand_signal	object	string	Text column. Directional text label summarizing visible public demand clues, marketplace density, or monetization-surface evidence.
risk_notes	object	long text	Free-text column containing longer text values. Research-only notes about platform risk, saturation, compliance limits, or other caveats. This is not financial advice.
source_confidence_score	int64	integer	Whole-number numeric column. Directional confidence score from 0 to 100 based on the specificity and completeness of the public source evidence.
collection_date	datetime64[us, UTC]	datetime	Date or timestamp column. UTC collection date for the row.

Intended Use

This dataset is intended for research, experimentation, analysis, and model prototyping.

Loading the Dataset


import os
from datasets import load_dataset

HUGGINGFACE_API_KEY_KARMANE = os.environ.get("HUGGINGFACE_API_KEY_KARMANE")

dataset = load_dataset(
    "Karmane/one-million-passive-income-opportunities",
    token=HUGGINGFACE_API_KEY_KARMANE,
)

print(dataset)
print(dataset[list(dataset.keys())[0]][0])

# getting the DataFrame itself
# df = dataset[list(dataset.keys())[0]].to_pandas()

Karmane. (2025). One Million Passive Income Opportunities Dataset. Hugging Face. https://huggingface.co/datasets/Karmane/one-million-passive-income-opportunities

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