Hacker Search vs Undermind

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-08-23
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At a glance

DimensionHacker SearchUndermind
PricingFreeFreemium (Pro plan for full-text analysis)
Best ForDevelopers, founders, tech enthusiasts researching HN opinionsAcademic researchers, R&D teams, graduate students
Key FeatureSemantic search + LLM summaries over 3 years of HN commentsExhaustive citation-traced literature search with follow-up questions
Search ScopeHN comments and submissions (past 3 years)Academic papers with citation graph traversal
API AccessNot mentionedNot for teams needing extensive API (as per 'not for')
Latest NewsScreenpipe (YC S26) launched on HN with 86 points (2026-07-23)No recent news

Choose Hacker Search if you need quick, free access to HN's collective wisdom on tech topics—it's ideal for developers and founders looking for community sentiment. Pick Undermind if you're an academic or R&D professional who needs exhaustive, citation-backed literature reviews that go deep into papers, even if it takes a few minutes. Both are niche but excellent: one for community opinions, the other for rigorous research.

Hacker Search
Hacker Search

Ask natural language questions and get LLM summaries of Hacker News comments.

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Undermind
Undermind

AI co-researcher for exhaustive, citation-traced literature search.

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Pricing
Free
Freemium
Plans
$0
$16/mo (billed annually)
$15/person/mo (billed annually)
Custom
Popularity
10 views
7.2k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
Web
Web
Categories
📰 News & Feed Digests
🔬 Research & Education
Features
Natural language question answering on HN comments
LLM-generated summaries of relevant comments
Semantic search for HN comments
Semantic search for HN submissions
Direct links to original comments in results
Covers all HN comments from the past 3 years
Browse sample questions for inspiration
Optional sign-up for extended access (beta)
Concept-based search (no exact keyword required)
Community sentiment analysis on topics
Citation-graph traversal finds obscure papers
Asks clarifying questions to refine searches
Reads and evaluates hundreds of papers per search
Follows citation trails until all relevant papers found
Inline citations for traceable answers
Brainstorm research directions with AI
Generate custom tables from papers
Gauge paper relevance quickly
Sort and filter search results
Notifications for new relevant publications
Full-text analysis (Pro plan)
Shared workspaces for collaboration
Connect agents inside Claude, ChatGPT, and more
Assess novelty of ideas
Identify gaps in the literature

What real users say: Hacker Search vs Undermind

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Hacker Search

16 mentions across 2 sources · 25% positive — critical

Hacker News, Lemmy

What users praise

  • Semantic search finds conceptually related content without exact keywords.
  • LLM summaries of top comments provide quick, digestible insights.
  • Links to actual comments enable verification of summaries.
  • Designed specifically for the high-quality Hacker News dataset.

What frustrates them

  • Almost no community feedback available to assess reliability.
  • Only 3 years of data; older discussions are inaccessible.
  • Beta status means features may change or disappear.
  • No mobile or API integration mentioned.

Researched Jul 3, 2026

Undermind

62 mentions across 4 sources · 48% positive — mixed

Hacker News, YouTube, Product Hunt, Bluesky

What users praise

  • Exhaustive citation-traced searches uncover obscure but relevant papers.
  • Inline citations allow verification of AI claims back to source.
  • Free tier provides substantial depth and proactive updates.
  • Built by MIT physics PhDs adds credibility and domain expertise.

What frustrates them

  • Search speed is slow (3-6 minutes) for impatient users.
  • Lacks reference manager integration like Zotero or Mendeley.
  • No API access reported, limiting programmatic use.
  • Results can prioritize relevance over novelty.

Researched Jul 16, 2026

Feature-by-feature

Hacker Search is laser-focused on Hacker News content: it uses semantic search and LLM summaries to answer natural language questions about HN discussions. It covers all comments from the past three years, links back to original threads, and offers concept-based search (no exact keywords). Undermind, by contrast, is a deep literature search tool for academic papers: it reads hundreds of papers, follows citation trails automatically, and asks follow-up questions to refine results. It also supports brainstorming research directions, generating custom tables from papers, and provides inline citations for traceability. While Hacker Search provides quick summaries of community sentiment, Undermind delivers in-depth, citation-traced answers that are 10x more relevant than Google Scholar per their claim. Notably, Undermind includes features like notifications for new publications and collaboration on shared projects, which Hacker Search lacks. On the other hand, Hacker Search offers a browse of sample questions for inspiration and optional sign-up for extended access, while Undermind's free tier is more limited. Hacker Search's latest news highlights a related HN launch (Screenpipe), but this doesn't change its core functionality.

Pricing compared

Hacker Search is entirely free to use, with an optional sign-up for extended beta access. There's no mention of paid tiers, making it accessible for anyone. Undermind operates on a freemium model: basic features are free, but full-text analysis requires the Pro plan (pricing not specified in the data). Undermind also notes it's not for users needing extensive API or custom workflows, suggesting a more locked-down ecosystem. For a casual user or developer wanting quick HN insights, Hacker Search's free price is unbeatable. For serious researchers who need deep paper analysis, Undermind's Pro plan is likely worth the cost, though the exact price is undisclosed. In summary, Hacker Search wins on price (free), while Undermind charges for advanced capabilities.

Who should pick which

  • Developer researching a new library
    Pick: Hacker Search

    Hacker Search lets you ask 'What do people think about [library]?' and get a summary of HN comments—perfect for gauging real-world developer sentiment quickly and for free.

  • PhD student doing literature review
    Pick: Undermind

    Undermind's deep search follows citation trails and asks clarifying questions, ideal for exhaustive reviews where missing a key paper is not an option. It also helps brainstorm research directions.

  • Tech founder gauging market sentiment
    Pick: Hacker Search

    Hacker Search provides community sentiment analysis on topics like startup ideas, giving founders quick, free insights from HN's tech audience.

  • R&D team assessing novelty
    Pick: Undermind

    Undermind identifies gaps in literature and generates custom tables, helping R&D teams in pharma or biotech evaluate the novelty of their work.

  • Casual tech enthusiast
    Pick: Hacker Search

    Free and easy to use for exploring HN discussions on current tech trends—no sign-up required to start searching.

Frequently Asked Questions

Hacker Search vs Undermind: which should you choose?

Choose Hacker Search if you need quick, free access to HN's collective wisdom on tech topics—it's ideal for developers and founders looking for community sentiment. Pick Undermind if you're an academic or R&D professional who needs exhaustive, citation-backed literature reviews that go deep into papers, even if it takes a few minutes. Both are niche but excellent: one for community opinions, the other for rigorous research.

Does Hacker Search cover all of Hacker News history?

No, it indexes comments from the past three years only. Older discussions are not included.

How long does Undermind take to deliver results?

Undermind typically takes 3-6 minutes per search, as it reads and evaluates hundreds of papers.

Can I get API access to Hacker Search?

The provided data does not mention API access for Hacker Search; it's likely not available.

Does Undermind integrate with reference managers like Zotero?

No, Undermind explicitly states it is not for users who rely on reference manager integrations such as Zotero or EndNote.

Is Hacker Search's LLM summary based on all comments or a subset?

The summary is generated from relevant comments returned by semantic search, which covers all HN comments from the past three years.

What does Undermind's Pro plan include?

The Pro plan adds full-text analysis of papers. Other details like price are not specified in the provided data.

Can I search for submissions on Hacker Search?

Yes, Hacker Search supports semantic search for HN submissions in addition to comments.

Does Undermind send notifications for new papers?

Yes, Undermind includes notifications for new relevant publications, keeping you updated.

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Last reviewed: July 30, 2026