Hacker News

Hacker News

Unclaimed verified 27 oct 2026
[  score · 25  ]

A community for sharing and discussing technology, startups, and intellectually curious topics.

Pricing: Free - $0 Company: Y Combinator Founded: 2007 Last verified: 2026-10-27
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TL;DR

Hacker News is a free technology-focused discussion and link-sharing community for developers, founders, researchers, and technology professionals. Its key differentiator is the concentration of technically knowledgeable participants and the high-signal discussions that can form around submitted links and projects.

What Users Actually Pay

No user-reported pricing yet.

Our Take

Hacker News occupies a distinctive position between a technology news aggregator, developer forum, and startup-launch channel. Users determine which stories receive attention through submissions, voting, and discussion, while sections such as Ask HN and Show HN support questions, project launches, and community feedback. Its primary value is therefore community curation rather than original editorial production. The platform's greatest strength is audience quality within a relatively narrow market. A successful post can attract experienced engineers, founders, security practitioners, researchers, and infrastructure specialists. This makes Hacker News valuable for discovering unusual technical material, validating ideas, recruiting technical talent, and exposing products to an informed audience. Its main limitations are the same traits that create its identity. The audience is narrow, promotional content can perform poorly, and discussions may be highly critical or intimidating. The interface is intentionally minimal but appears dated compared with modern community products, and visibility is unpredictable: even technically strong submissions may receive little attention without the right timing and framing. Hacker News is best suited to technical founders, software engineers, researchers, infrastructure teams, and companies with genuinely relevant technical content. It is less suitable for broad consumer marketing, guaranteed lead generation, lifestyle brands, or organizations seeking paid and predictable distribution. It should be treated as an earned-attention channel rather than an advertising platform.

Pros

  • + High concentration of technically experienced developers, founders, researchers, and infrastructure professionals.
  • + Strong discovery value for engineering articles, research, tools, startup stories, and technical essays.
  • + Show HN provides a useful channel for launching projects and receiving direct feedback from technically sophisticated users.
  • + Free access with no visible subscription or paid-placement requirement for normal reading and participation.
  • + Fast, lightweight, text-first interface that keeps attention on links and discussion.

Cons

  • - Limited appeal outside technology, software, startups, and adjacent technical subjects.
  • - Promotional or overly commercial posts may be discouraged or receive weak engagement.
  • - Comments can be harsh, cynical, or overly focused on technical criticism, which may intimidate new participants.
  • - Minimalist interface lacks many modern community features, including rich media presentation and advanced discovery controls.
  • - Reach is unpredictable and depends heavily on timing, topic relevance, community reaction, and submission quality.

MCP Integrations

1 server4 tools
Skimnews
Skimnewsskimnews/news
smitheryRemoteHigh match

Free AI-curated news: 30-second summaries of today's top stories from 100+ sources across seven beats, plus permanent dossiers on the people, organisations and laws behind them. Four read-only tools, no auth.

4 tools
  • get_top_storiesToday's top SkimNews stories, optionally limited to one beat. Use this for "what's happening today" / "today's news" / "latest in <beat>" questions. Returns summaries plus canonical URLs per story. Categories: geopolitics, tech, finance, health, energy, sports, culture.
  • search_storiesSemantically search SkimNews' archive of 47,000+ summarised stories by topic, theme, or news event, ranked by relevance. Use this to find coverage of a subject across SkimNews' history rather than only today. Returns summaries plus canonical URLs. An empty result list means SkimNews has not covered that topic — say so rather than substituting unrelated stories.
  • get_story_detailThe full SkimNews treatment of one story: summary, why-it-matters, sourced bullet points, editorial take, named entities, the source taxonomy, and the canonical URL. Accepts an article id (e.g. '46b45d01'), a canonical skimnews.com URL, or an article slug. Use after get_top_stories or search_stories when a story needs detail or accurate citation.
  • get_entity_fileSkimNews keeps a permanent dossier on every person, organisation, product, law, or place it has covered repeatedly. Returns the current 3-sentence status, 60-day mention/source counts, recent coverage, and related entities. Use for "what has SkimNews covered about X" and "what's the latest on X" where X is a trackable entity. Slug form, e.g. 'trump', 'openai', 'iran'.

Last checked Oct 18, 2026

[ features ]

Listing AI & Automation

Artificial intelligence and automation capabilities for content generation, categorization, and optimization.

AI Content Generation

AI-powered generation of product descriptions and content.

no
AI Image Enhancement

AI tools for image optimization, background removal, etc.

no
Automated Categorization

AI-powered automatic product categorization.

no
Smart Attribute Extraction

Automatic extraction of product attributes from descriptions or images.

no
AI/MT Translation

Built-in machine translation for product content.

no

Monitoring Metrics

Key performance indicators and analytics provided for brand presence.

Visibility/Share of Voice Tracking

Tracks brand mention frequency or share in AI responses.

no
Position/Ranking Tracking

Monitors brand's ranking or position in AI-generated results.

no
Sentiment/Reputation Analysis

Analyzes tone and perception of brand in AI outputs.

no
Competitor Benchmarking

Compares brand performance against competitors.

no
Source/Citation Tracking

Identifies sources cited in AI responses for the brand.

no

Developer Experience

Tools and abstractions easing agent development and iteration.

Visual Builder

No-code/low-code UI for designing agent workflows.

no
OpenAI Compatibility

OpenAI API-compatible endpoints or SDKs.

no
Pre-built UI Components

Ready-to-use, customizable UI elements for auth flows.

no
Admin Portal

Self-service admin dashboard for customers to manage users/orgs.

no
Framework Integrations

Supported frontend frameworks with dedicated guides/components.

Security, Privacy & Support

Features ensuring data protection, quality assurance, and user assistance.

Privacy Certifications

Compliance standards for data security.

[  none-specified  ]
Auto Data Deletion

Automatic deletion of user photos after processing.

no
Live Chat Support

Availability of real-time customer support.

no
Remake or Redo Policy

Offers free remakes for unsatisfactory results.

no

Review Quality & Trust

Features related to the quality, verification, and trustworthiness of user reviews and feedback.

Review Verification Method

Method used to verify and moderate reviews.

None
Review Incentives

Offers rewards or incentives for submitting reviews.

no
Transparent Sponsorships

Clearly discloses sponsored or paid listings/promotions.

no

Discovery & Comparison Tools

Tools for searching, filtering, and comparing software options.

Side-by-Side Comparisons

Supports direct side-by-side product comparisons.

no
Advanced Filters

Availability of filters like price, rating, business size.

Pricing Comparison

Side-by-side or grid-based pricing comparisons.

no
Search Functionality

Level of search capabilities.

Basic keyword
Personalized Recommendations

Tailored suggestions based on user input.

no

Buyer Accessibility

Ease of access, cost, and support for software buyers.

Personalized Advisor Support

One-on-one consultations or advisors.

no

Reviews

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