Pricing

Pay per event

Hacker News Search — Stories, Comments & Developer Sentiment

Search and extract stories, comments, polls, Show HN, and Ask HN posts from Hacker News. This actor uses the Algolia HN Search API to find content by keyword, filter by author, date range, minimum points, and comment count -- then returns clean, structured JSON ready for analysis, monitoring, or ...

Pricing

Pay per event

Rating

0.0

(0)

Developer

Ryan Clinton

Actor stats

Bookmarked

Total users

Monthly active users

16 days ago

Last modified

Categories

Developer tools

Record Type

recordType

Optional

Discriminator: result for search hits. Reserved for future record types (thread_comment, trend, etc.).

Type:string | null

Example:result

Object ID

objectID

Optional

Unique Hacker News item ID

Type:string | null

Example:12345678

Title

title

Optional

Title of the story or post

Type:string | null

Example:Show HN: A new web framework

URL

url

Optional

External URL linked in the story

Type:string | null

Example:https://example.com/article

Author

author

Optional

Hacker News username of the author

Type:string | null

Example:pg

Points

points

Optional

Number of upvotes/points

Type:integer | null

Example:150

Comments

numComments

Optional

Number of comments on the item

Type:integer | null

Example:42

Created At

createdAt

Optional

ISO timestamp when item was created

Type:string | null

Example:2025-01-15T10:30:00.000Z

Type

type

Optional

Item type: story, comment, poll, show_hn, ask_hn

Type:string | null

Example:story

Story Text

storyText

Optional

Text content for Ask HN and Show HN posts

Type:string | null

Example:I built this tool to help developers...

Comment Text

commentText

Optional

Text content of a comment

Type:string | null

Example:Great project, I love the approach...

Parent ID

parentId

Optional

Parent item ID for comments

Type:string | null

Example:12345670

Story ID

storyId

Optional

Root story ID for comments

Type:string | null

Example:12345600

HN URL

hnUrl

Optional

Direct Hacker News discussion URL

Type:string | null

Example:https://news.ycombinator.com/item?id=12345678

Author Karma

authorKarma

Optional

Author's total HN karma (only present when author profile enrichment is enabled)

Type:integer | null

Example:12450

Author Account Age (days)

authorAccountAgeDays

Optional

Days since the author's HN account was created

Type:integer | null

Example:4500

Author Submissions

authorSubmissionCount

Optional

Total stories and comments the author has submitted to HN

Type:integer | null

Example:1820

GitHub Stars

githubStars

Optional

Star count when the submitted URL is a GitHub repository

Type:integer | null

Example:3400

GitHub Language

githubLanguage

Optional

Primary language of the linked GitHub repository

Type:string | null

Example:Rust

GitHub Last Push

githubPushedAt

Optional

ISO timestamp of the last commit pushed to the linked repository

Type:string | null

Example:2026-04-15T08:14:22Z

Hiring: Company

hiringCompany

Optional

Company name parsed from a 'Who Is Hiring' comment

Type:string | null

Example:Acme Robotics

Hiring: Location

hiringLocation

Optional

Location parsed from a 'Who Is Hiring' comment

Type:string | null

Example:San Francisco

Hiring: Remote Mode

hiringRemote

Optional

Remote / Hybrid / On-site flag parsed from a 'Who Is Hiring' comment

Type:string | null

Example:Remote

Hiring: Apply URL

hiringApplyUrl

Optional

Apply link or mailto address parsed from a 'Who Is Hiring' comment

Type:string | null

Example:https://acme.example.com/jobs/eng

Author Influence Score

authorInfluenceScore

Optional

0–100 composite of the author's karma (50% weight), account age (25%), and submission count (25%), all log-normalized. Only present when author profile enrichment is enabled.

Type:number | null

Example:78.4

Velocity Score

velocityScore

Optional

0–1 log-normalized engagement velocity. Computed from points-per-hour since the item was posted; saturates around 100 pts/hr.

Type:number | null

Example:0.612

Points / Hour

pointsPerHour

Optional

Average points earned per hour since posting. Capped at the 168-hour (1-week) window so older items don't appear stale.

Type:number | null

Example:14.2

Comments / Hour

commentsPerHour

Optional

Average comments per hour since posting (same 168-hour cap as points/hour).

Type:number | null

Example:3.8

Is Trending

isTrending

Optional

True when the item is < 24 hours old AND points-per-hour ≥ 5 OR comments-per-hour ≥ 2.

Type:boolean | null

Example:true

Signal Score

signalScore

Optional

0–100 composite signal score: engagement (40%, log-normalized points + 2× comments), velocity (25%), author influence (20%, falls back to 0.3 baseline when not enriched), recency (15%, linear decay over 168 hours).

Type:number | null

Example:84.1

Signal Level

signalLevel

Optional

Tier of signalScore: high (≥70), medium (40–69), low (<40). Use this for filtering in spreadsheets and SQL-style downstream queries.

Type:string | null

Example:high

GitHub Freshness

githubFreshness

Optional

Repository freshness tier when correlateGithub is enabled: active (push <30d), recent (30–180d), stale (180–730d), dormant (>2y).

Type:string | null

Example:active

GitHub Repo Maturity

githubRepoMaturity

Optional

Repository maturity tier from star count: nascent (<100), emerging (100–999), established (1k–9.9k), mature (≥10k).

Type:string | null

Example:established

GitHub Signal

githubSignal

Optional

Composite GitHub signal: high (active+established/mature), medium (one of the two), low (neither).

Type:string | null

Example:high

Insight Summary

insightSummary

Optional

Plain-English insight when includeInsights: true. Heuristic-based — no LLM calls.

Type:string | null

Example:Signal 84/100. Positive traction. Key themes: developer-experience, ai.

Sentiment (heuristic)

sentiment

Optional

Heuristic sentiment from bullish/bearish keyword counts: bullish / bearish / mixed / neutral. Not AI sentiment.

Type:string | null

Example:bullish

Risk Level (heuristic)

riskLevel

Optional

Heuristic risk tier: high (≥3 bearish hits OR security/privacy theme + signalScore ≥50), medium (≥1 bearish OR mixed sentiment + signal ≥40), low (otherwise).

Type:string | null

Example:low

Key Themes

keyThemes

Optional

Themes detected in title + body + comment text via keyword regex: performance, cost, developer-experience, security, reliability, scalability, open-source, ai, lock-in.

Type:array | null

Thread: Story ID

threadStoryId

Optional

On recordType: 'thread_comment' records — the parent story's HN object ID. (Older storyId field also populated for back-compat.)

Type:string | null

Example:39281042

Thread Depth

depth

Optional

On recordType: 'thread_comment' records — depth in the reply tree (1 = direct reply, 2 = reply-to-reply, …).

Type:integer | null

Example:2

Comment Text

text

Optional

On recordType: 'thread_comment' records — the comment body, HTML stripped.

Type:string | null

Example:Great work — but I worry about lock-in…

Trend Term

term

Optional

On recordType: 'trend' records — the n-gram detected as rising in this window.

Type:string | null

Example:local llm

Trend Score

trendScore

Optional

On recordType: 'trend' records — composite of growth (40%) + current mentions (30%) + avg signal score (20%) + unique authors (10%).

Type:number | null

Example:82.1

Trend Growth %

growthPercent

Optional

On recordType: 'trend' records — percentage growth in mentions versus the baseline window.

Type:number | null

Example:366.7

Mentions (current)

mentionsCurrent

Optional

On recordType: 'trend' records — number of mentions in the current window.

Type:integer | null

Example:14

Mentions (previous)

mentionsPrevious

Optional

On recordType: 'trend' records — number of mentions in the baseline window.

Type:integer | null

Example:3

Unique Authors

uniqueAuthors

Optional

On recordType: 'trend' records — distinct authors who mentioned this term in the current window.

Type:integer | null

Example:9

Avg Signal Score

avgSignalScore

Optional

On recordType: 'trend' records — average signal score across mentions of this term.

Type:number | null

Example:68.4

Why This Matters

whyThisMatters

Optional

Plain-English explanation of why this result is high-signal — built deterministically from contributing fields (signal level, author influence, velocity, themes, sentiment, feedback type). Null on low-signal results.

Type:string | null

Example:High-signal mention from a high-influence author with trending velocity (18 pts/hr) discussing developer-experience and ai with positive reception.

Suggested Action

suggestedAction

Optional

Recommended next step: engage (high signal + question/feature_request/praise), investigate (high signal + bearish/complaint), monitor (medium signal), ignore (signalScore < 25).

Type:string | null

Example:engage

Feedback Type

feedbackType

Optional

Heuristic classification of comment/story text: complaint / feature_request / praise / question. Null when no pattern matches.

Type:string | null

Example:feature_request

Is Influencer Mention

isInfluencerMention

Optional

True when the author's influence score is in the top 10% (≥70). Surfaces high-credibility voices for one-glance filtering.

Type:boolean | null

Example:true

Influencer Tier

influencerTier

Optional

Tier of authorInfluenceScore: top_1_percent (≥90), top_10_percent (≥70), active (≥40), new (<40).

Type:string | null

Example:top_10_percent

Trend Stage

trendStage

Optional

On recordType: 'trend' records — lifecycle stage: emerging (low prior, high growth), rising (high growth + ≥5 current mentions), peaked (slowing growth), declining (negative growth).

Type:string | null

Example:rising

Why Trending

whyTrending

Optional

On recordType: 'trend' records — array of plain-English reasons: mention growth, unique-author count, average signal score, prior-window absence.

Type:array | null

Thread: Story Title

storyTitle

Optional

On recordType: 'thread_summary' records — title of the parent story.

Type:string | null

Example:Show HN: Open-source LLM benchmark for real-world coding tasks

Thread Comment Count

commentCount

Optional

On recordType: 'thread_summary' records — total comments expanded for the parent story.

Type:integer | null

Example:42

Thread Deepest Depth

deepestDepth

Optional

On recordType: 'thread_summary' records — deepest reply depth reached during expansion.

Type:integer | null

Example:3

Thread Top Themes

topThemes

Optional

On recordType: 'thread_summary' records — themes detected across all comments in the thread.

Type:array | null

Thread Summary

summary

Optional

On recordType: 'thread_summary' records — plain-English summary built from comment count, deepest depth, sentiment, risk, and top themes.

Type:string | null

Example:Thread of 42 comments (deepest reply at depth 3), tone bullish, risk low. Themes: developer-experience, ai, performance.

Other properties may be included.

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