Hugging Face's logo

Datasets:
Karmane
/
hacker-news-show-hn-launches-enriched

Tasks:
Tabular Classification
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
100K - 1M
Tags:
pandas
dataframe
generated
tabular
hacker-news
show-hn
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community

You need to agree to share your contact information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

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.

Log in or Sign Up to review the conditions and access this dataset content.

Hacker News Show HN Launches Enriched Dataset

This dataset packages public Hacker News Show HN launch posts into a single analysis-ready dataframe with title normalization, external-domain enrichment, engagement metrics, author launch-history features, and product-category heuristics.

Each row represents one Show HN launch story retrieved from the public Algolia Hacker News Search API. The dataset adds normalized launch text, timestamp rollups, external URL parsing, domain-classification fields, launch-category labeling, maturity signals, keyword flags, and repeat-author history metrics. The result is easier to use for startup research, product-intelligence workflows, trend analysis, founder scouting, and developer-tool market research than manually collecting Show HN posts from raw API responses.

Dataset Preview

record_id hn_item_id title launch_tagline author created_at updated_at launch_date launch_year launch_month launch_quarter launch_weekday launch_hour_utc is_weekend_post story_text_plain story_text_char_count story_text_word_count has_story_text external_url external_url_scheme external_domain registered_domain domain_root_category url_path_depth has_external_url is_hacker_news_self_post points num_comments engagement_score comments_per_point launch_age_days author_show_hn_post_count author_prior_show_hn_post_count author_first_show_hn_at author_launch_sequence_number is_repeat_show_hn_author title_char_count launch_tagline_char_count keyword_ai_agents keyword_open_source keyword_developer_tooling keyword_data_analytics keyword_security_privacy keyword_productivity keyword_finance_crypto keyword_design_creative keyword_mobile keyword_browser_extension keyword_api_platform keyword_dataset launch_category maturity_signal source_api_url source_hn_item_url source_url source_domain last_collected_at
show_hn_48348894 48348894 Show HN: Find YC startups relevant to you Find YC startups relevant to you nerdlogic 2026-05-31 19:30:18 2026-05-31 20:08:46 2026-05-31 2026 5 2 Sunday 19 True 0 0 False https://platoseed.com/ https platoseed.com platoseed.com App / Product Site 0 True False 2 0 2 0 0 2 1 2026-05-13 21:32:51 2 True 41 32 False False False False False False False False False False False False Other General launch https://hn.algolia.com/api/v1/items/48348894 https://news.ycombinator.com/item?id=48348894 https://hn.algolia.com/api hn.algolia.com 2026-05-31 20:12:12
show_hn_48348860 48348860 Show HN: Fluiq – detect prompt injection, PII, Crescendo attack 2 line of Python Fluiq – detect prompt injection, PII, Crescendo attack 2 line of Python SaurabhKumbhar 2026-05-31 19:27:03 2026-05-31 20:04:15 2026-05-31 2026 5 2 Sunday 19 True AI Ops Platform (Security, Optimization, Observability, Evaluations) Free for early signups and revi... [3 more chars] 103 13 True https://getfluiq.com/ https getfluiq.com getfluiq.com App / Product Site 0 True False 2 0 2 0 0 1 0 2026-05-31 19:27:03 1 False 80 71 True False False False True False False False False False True False API / Platform General launch https://hn.algolia.com/api/v1/items/48348860 https://news.ycombinator.com/item?id=48348860 https://hn.algolia.com/api hn.algolia.com 2026-05-31 20:12:12
show_hn_48348834 48348834 Show HN: CakeML-based self-verifying, self-improving system CakeML-based self-verifying, self-improving system cmrx64 2026-05-31 19:24:45 2026-05-31 19:28:45 2026-05-31 2026 5 2 Sunday 19 True based on a conversation I had with Ramana Kumar in 2016. 56 11 True https://emberian.github.io/svenvs/ https emberian.github.io github.io App / Product Site 1 True False 2 0 2 0 0 1 0 2026-05-31 19:24:45 1 False 59 50 False False False False False False False False False False False False Other General launch https://hn.algolia.com/api/v1/items/48348834 https://news.ycombinator.com/item?id=48348834 https://hn.algolia.com/api hn.algolia.com 2026-05-31 20:12:12
show_hn_48348784 48348784 Show HN: Sports Regime Lab – NBA regime analytics Sports Regime Lab – NBA regime analytics optimalutopia 2026-05-31 19:19:21 2026-05-31 19:22:01 2026-05-31 2026 5 2 Sunday 19 True 0 0 False https://sports.kezelon.com/ https sports.kezelon.com kezelon.com App / Product Site 0 True False 1 0 1 0 0 1 0 2026-05-31 19:19:21 1 False 49 40 False False False True False False False False False False False False Data / Analytics General launch https://hn.algolia.com/api/v1/items/48348784 https://news.ycombinator.com/item?id=48348784 https://hn.algolia.com/api hn.algolia.com 2026-05-31 20:12:12
show_hn_48348429 48348429 Show HN: Streambed – Stream Postgres to Iceberg on S3, Supports Postgres Wire Streambed – Stream Postgres to Iceberg on S3, Supports Postgres Wire vira28 2026-05-31 18:43:05 2026-05-31 20:09:15 2026-05-31 2026 5 2 Sunday 18 True 0 0 False https://github.com/viggy28/streambed https github.com github.com GitHub 2 True False 13 0 13 0 0 13 12 2019-04-14 08:52:13 13 True 77 68 False False False False False False False False False False False False Open Source Repository General launch https://hn.algolia.com/api/v1/items/48348429 https://news.ycombinator.com/item?id=48348429 https://hn.algolia.com/api hn.algolia.com 2026-05-31 20:12:12

Access Requirements (Paid Dataset)

This dataset is behind manual gated access.

To obtain access:

  1. Purchase the dataset here:
    https://thearticulated.gumroad.com/l/hacker-news-show-hn-launches-enriched

  2. Provide your Hugging Face username at checkout.

  3. Return to this Hugging Face page and click:
    "Request Access"

  4. 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: 194,950

Total columns: 57

Splits

  • data: 194,950 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
record_id string string Text column. Stable unique identifier for the dataset row derived from the Hacker News item id.
hn_item_id Int64 integer Whole-number numeric column. Original Hacker News story id for the Show HN launch post.
title string string Text column. Raw Show HN story title from the source API.
launch_tagline string string Text column. Title with the leading Show HN prefix removed for easier product-name and positioning analysis.
author string string Text column. Hacker News username that posted the Show HN story.
created_at datetime64[ns] datetime Date or timestamp column. Timestamp when the Show HN story was created according to the public Algolia Hacker News Search API.
updated_at datetime64[ns] datetime Date or timestamp column. Most recent timestamp exposed by the source API for the story record.
launch_date string datetime-like string Stored as text, but values appear to represent dates or timestamps. Calendar date extracted from created_at.
launch_year Int64 integer Whole-number numeric column. Calendar year extracted from created_at.
launch_month Int64 integer Whole-number numeric column. Calendar month extracted from created_at.
launch_quarter Int64 integer Whole-number numeric column. Calendar quarter extracted from created_at.
launch_weekday string string Text column. Weekday name derived from created_at in UTC.
launch_hour_utc Int64 integer Whole-number numeric column. Hour of day in UTC derived from created_at.
is_weekend_post boolean boolean True/false column. Boolean flag indicating that the launch was posted on a Saturday or Sunday in UTC.
story_text_plain string long text Free-text column containing longer text values. Normalized plain-text version of the source story_text HTML field when the post included additional body text.
story_text_char_count Int64 integer Whole-number numeric column. Character count for story_text_plain after normalization.
story_text_word_count Int64 integer Whole-number numeric column. Word count for story_text_plain after normalization.
has_story_text boolean boolean True/false column. Boolean flag indicating that the source story included a non-empty body text field.
external_url string string Text column. External product or project URL linked from the Show HN story when present.
external_url_scheme string string Text column. URL scheme parsed from external_url such as http or https.
external_domain string string Text column. Normalized hostname parsed from external_url without a leading www prefix.
registered_domain string string Text column. Best-effort registered-domain rollup parsed from external_domain for grouping related launches.
domain_root_category string string Text column. Best-effort categorical label describing the linked domain type such as GitHub, app site, docs, marketplace, or self-post.
url_path_depth Int64 integer Whole-number numeric column. Count of non-empty path segments in external_url.
has_external_url boolean boolean True/false column. Boolean flag indicating that the story links to an external URL.
is_hacker_news_self_post boolean boolean True/false column. Boolean flag indicating that the Show HN story did not include an external product URL.
points Int64 integer Whole-number numeric column. Current Hacker News points score returned by the source API at collection time.
num_comments Int64 integer Whole-number numeric column. Current Hacker News comment count returned by the source API at collection time.
engagement_score Int64 integer Whole-number numeric column. Simple engagement score computed as points plus two times the comment count.
comments_per_point Float64 float Decimal numeric column. Ratio of num_comments to points when points are positive.
launch_age_days Int64 integer Whole-number numeric column. Number of days between created_at and the collection timestamp.
author_show_hn_post_count Int64 integer Whole-number numeric column. Total number of Show HN launch posts in this dataset for the same author.
author_prior_show_hn_post_count Int64 integer Whole-number numeric column. Count of earlier Show HN launch posts by the same author before this row.
author_first_show_hn_at datetime64[ns] datetime Date or timestamp column. Timestamp of the first Show HN launch post seen for the same author in the dataset history.
author_launch_sequence_number Int64 integer Whole-number numeric column. 1-based chronological sequence number of this launch within the author’s Show HN posting history.
is_repeat_show_hn_author boolean boolean True/false column. Boolean flag indicating that the author has more than one Show HN launch post in the dataset.
title_char_count Int64 integer Whole-number numeric column. Character count of the raw title.
launch_tagline_char_count Int64 integer Whole-number numeric column. Character count of launch_tagline.
keyword_ai_agents boolean boolean True/false column. Boolean keyword flag indicating that the launch text references AI, LLMs, agents, prompts, RAG, or MCP concepts.
keyword_open_source boolean boolean True/false column. Boolean keyword flag indicating that the launch text references open-source distribution or licensing.
keyword_developer_tooling boolean boolean True/false column. Boolean keyword flag indicating that the launch text references developer tools, SDKs, APIs, CLIs, libraries, or frameworks.
keyword_data_analytics boolean boolean True/false column. Boolean keyword flag indicating that the launch text references datasets, analytics, warehousing, ETL, dashboards, or BI themes.
keyword_security_privacy boolean boolean True/false column. Boolean keyword flag indicating that the launch text references security, privacy, authentication, encryption, or vulnerabilities.
keyword_productivity boolean boolean True/false column. Boolean keyword flag indicating that the launch text references productivity, tasks, notes, calendars, workflows, or automation.
keyword_finance_crypto boolean boolean True/false column. Boolean keyword flag indicating that the launch text references finance, budgeting, invoicing, trading, crypto, or DeFi themes.
keyword_design_creative boolean boolean True/false column. Boolean keyword flag indicating that the launch text references design, images, video, audio, music, or broader creative tooling.
keyword_mobile boolean boolean True/false column. Boolean keyword flag indicating that the launch text references mobile platforms such as iOS or Android.
keyword_browser_extension boolean boolean True/false column. Boolean keyword flag indicating that the launch text references browser extensions or extension-like products.
keyword_api_platform boolean boolean True/false column. Boolean keyword flag indicating that the launch text references APIs, SaaS platforms, cloud products, or backend infrastructure.
keyword_dataset boolean boolean True/false column. Boolean keyword flag indicating that the launch text references datasets, corpora, benchmarks, or training data.
launch_category string string Text column. Best-effort primary launch category derived from the keyword flags and linked-domain context.
maturity_signal string string Text column. Best-effort lifecycle label such as prelaunch waitlist, early beta, open-source launch, or general release.
source_api_url string string Text column. Algolia Hacker News item API URL for the story.
source_hn_item_url string string Text column. Canonical Hacker News discussion URL for the story.
source_url string string Text column. Top-level public source page describing the Algolia Hacker News Search API used for collection.
source_domain string string Text column. Source domain used for data collection.
last_collected_at datetime64[us] datetime Date or timestamp column. Timestamp when this dataset run collected and normalized 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/hacker-news-show-hn-launches-enriched",
    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). Hacker News Show HN Launches Enriched Dataset. Hugging Face. https://huggingface.co/datasets/Karmane/hacker-news-show-hn-launches-enriched
Downloads last month
22
Total file size:
69.4 MB