Hacker Search vs Surge AI

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

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionHacker SearchSurge AI
PricingFreeContact sales (likely enterprise)
Primary UseSemantic search over HN commentsExpert human feedback for AI alignment
Target AudienceDevelopers, founders, tech enthusiastsFrontier AI labs, AI safety teams, researchers
Key FeatureLLM summaries of HN discussionsDomain expert workforce (doctors, lawyers, engineers)
API AvailabilityNot availablePython SDK & REST API
Latest News ImpactNo recent updatesMicrosoft used Surge for benchmarking MAI-Thinking-1; new benchmarks (ComplexConstraints, Riemann-bench, GDP.pdf, Antidote)

Choose Hacker Search if you need free, semantic access to HN community wisdom for research or sentiment analysis. Choose Surge AI if you're building frontier models and require expert human feedback for RLHF, red teaming, or complex benchmarks — backed by recent use by Microsoft and cutting-edge evaluations.

Hacker Search
Hacker Search

Discontinued: Hacker Search, the semantic search tool for Hacker News, is no longer available.

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Surge AI
Surge AI

Surge AI supplies expert human RLHF data, red teaming, and public benchmarks like GDP.pdf and the Tuesday Work Index for frontier model

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Pricing
Free
Contact Sales
Plans
—
—
Popularity
14 views
7.4k views
Skill Level
Intermediate
Advanced
API Available
Platforms
Web
Web
Categories
📰 News & Feed Digests
🏷️ Data Labeling & Training Data
Features
Semantic search across Hacker News comments (discontinued)
LLM-generated summaries of matching HN comments (discontinued)
Natural-language questions about HN discussions (discontinued)
Direct links back to original HN comments in results (discontinued)
Semantic search over HN submissions (discontinued)
Roughly three-year index of Hacker News comments (discontinued)
Concept-based matching with no exact keyword required (discontinued)
Sample questions to seed exploration (discontinued)
Optional sign-up for extended beta access (discontinued)
Published engineering write-ups on the Q&A feature and the semantic search engine
Expert human workforce of doctors, lawyers, engineers, and writers for frontier AI data
RLHF preference data collection and human feedback for model fine-tuning and post-training
Red teaming and adversarial testing staffed with credentialed domain specialists
Off-the-shelf post-training runs built on expert evaluation data
SWE consultant network for software engineering and technical tasks
Agentic coding task sets: 1,700 tasks gave Kimi K2.7 +20.0pp on SWE-Marathon and +12.4pp on DeepSWE
GDP.xlsx benchmark for professional spreadsheet comprehension, spanning 70 tasks across 12 knowledge-work domains
sudo L7 benchmark for staff-level engineering judgment in coding agents
GDP.pdf benchmark for real-world professional document comprehension, cited in the GPT-5.6 release
Chartography benchmark for chart reasoning: Kaplan-Meier curves, candlesticks, contour maps, Bode plots
ComplexConstraints benchmark for instruction following with mutually dependent constraints
HANDBOOK.md benchmark for long-context policy adherence against expert handbooks
DAYJOB vertical benchmark suites for economically valuable agents in Healthcare and Finance
Tuesday Work Index composite benchmark scoring frontier models on real professional work
RL environments including CoreCraft and EnterpriseBench with Python SDK and REST API access

What real users say: Hacker Search vs Surge AI

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 (averaged across 2 sources)

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

Surge AI

48 mentions across 3 sources · 38% positive — critical (weighted across 3 sources)

Hacker News, YouTube, Lemmy

What users praise

  • • Credentialed workforce of doctors, lawyers and engineers instead of generic crowd annotators
  • • GDP.pdf cited by OpenAI in the GPT-5.6 release with a concrete 30.7% flagship score
  • • Kimi K2.7 post-training run published measurable SWE-Marathon, DeepSWE and Terminal-Bench gains
  • • Benchmark catalog spans chart reasoning, dependent constraints, long-context policy and verticals

What frustrates them

  • • Contact-only pricing means no public rate card, no tiers, and no way to self-serve
  • • Benchmark sponsorship and independence questions raised directly in HN threads
  • • Expert-credential verification process is never explained in any community source
  • • No community data on support responsiveness, uptime, or SLAs at enterprise scale

Researched Oct 7, 2026

Who should pick which

  • Developer researching a library
    Pick: Hacker Search

    Free natural language search over HN comments helps quickly gauge community sentiment without needing to browse threads.

  • Founder gauging sentiment on a startup idea
    Pick: Hacker Search

    Ask a question like 'What do developers think of no-code tools?' and get LLM summaries of relevant HN discussions.

  • Frontier AI lab needing RLHF
    Pick: Surge AI

    Surge provides domain experts (doctors, lawyers, engineers) for high-quality feedback, essential for aligning advanced models.

  • AI safety team running red teaming
    Pick: Surge AI

    Surge's expert workforce and adversarial testing capabilities are designed for rigorous safety evaluations.

  • Researcher needing hard benchmarks
    Pick: Surge AI

    Surge's Riemann-bench, GDP.pdf, and ComplexConstraints offer challenging evaluations not available elsewhere.

Frequently Asked Questions

Hacker Search vs Surge AI: which should you choose?

Choose Hacker Search if you need free, semantic access to HN community wisdom for research or sentiment analysis. Choose Surge AI if you're building frontier models and require expert human feedback for RLHF, red teaming, or complex benchmarks — backed by recent use by Microsoft and cutting-edge evaluations.

Does Hacker Search have an API?

No, Hacker Search does not provide an API for programmatic access.

How far back does Hacker Search index HN comments?

It covers all HN comments from the past three years.

Is Surge AI suitable for simple classification tasks?

No, Surge focuses on complex, reasoning-intensive tasks; it's overkill for simple classification.

Can I try Surge AI for free?

Pricing is contact-based, so there is no free tier; you need to request a demo or trial.

What benchmarks does Surge AI offer?

Riemann-bench (extreme math), GDP.pdf (PDF understanding), ComplexConstraints (entangled instructions), Antidote (expert-graded leaderboard), and more.

Has Microsoft used Surge AI?

Yes, Microsoft used Surge human evaluations to benchmark MAI-Thinking-1, as reported in July 2026.

Does Hacker Search support keyword search?

It uses semantic search, so it works conceptually, not with exact keywords only.

Do I need to sign up for Hacker Search?

Extended access may require sign-up, but basic functionality is free without registration.

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Last reviewed: July 3, 2026