
Semantic search + LLM summaries of HN comments.
By Tanmay Verma, Founder · Last verified 03 Jul 2026
In short
Hacker Search — Semantic search + LLM summaries of HN comments. Best for Developers researching libraries or frameworks via HN opinions, Founders gauging community sentiment on startups or product ideas, Tech enthusiasts seeking deep discussions on technical topics. Free to use.
See what real users actually say. We scan live discussions, reviews and complaints across the web and hand you an honest verdict — in under a minute.
3 free scans · no card needed · downloadable report
If you live on Hacker News and need quick, semantic access to community opinions, Hacker Search is indispensable. It's faster and smarter than HN's own search. Just remember the three-year cap and lack of API access. For deeper archival needs or programmatic access, stick with alternatives like Algolia-powered HN Search or a custom dataset.
Skip Hacker Search if Skip Hacker Search if you need a full HN archive, API access, or real-time comments—its three-year window and beta status limit broader use.
Compare with: Hacker Search vs Paxton AI, Hacker Search vs Anara, Hacker Search vs Marvin User Research
Last verified: July 2026
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
16 mentions across 2 sources (Hacker News, Lemmy).
How likely is Hacker Search to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Hacker Search lets you ask natural language questions about any topic and get LLM-generated summaries of what the Hacker News community thinks. It indexes all HN comments from the past three years using semantic embeddings, so you find conceptually relevant discussions even without exact keyword matches. Each answer links back to the original comments for verification. You can also search HN submissions semantically. Currently free and in beta, it's perfect for developers, founders, and tech enthusiasts wanting quick access to HN's collective wisdom without its clunky native search. The three-year window limits older content but excels at surfacing recent, high-signal discussions. No API or export features yet.
Hacker Search solves a real pain: HN's native search is keyword-only and often misses the nuanced discussions buried in comment threads. By using semantic embeddings and LLM summarization, this tool surfaces conceptually relevant answers—like asking 'What do you think about Rust for web development?' and getting a distilled summary of pros and cons from dozens of comments. The UI is minimal and focused: you type a question, it returns a summary with clickable links to source comments. Sample questions help new users get started quickly. Strengths: The semantic search over comments and submissions is genuinely useful for research. The three-year window covers enough recent discussions to stay relevant. It's free and requires no signup for basic use. The summaries save hours of manual scanning. Weaknesses: The three-year cap means you can't access older wisdom. No API limits integration into workflows. Being in beta means occasional inaccuracies or gaps. There's no team or enterprise tier for heavy use. Overall, it's a niche tool that excels at its one job. For anyone who regularly mines HN for opinions—tech researchers, founders evaluating tools, writers tracking sentiment—it's a must-bookmark. Just don't expect a full archive or automation features.
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Concrete scenarios for the personas Hacker Search actually fits — and what changes day-one when you adopt it.
You're evaluating Svelte vs React for a new side project. You type 'What do you think about Svelte vs React for frontend?' and get a summary of HN comments comparing performance, developer experience, and community sentiment.
Outcome: You save hours of manual browsing and make a more informed decision based on aggregated community wisdom.
You just launched a developer tool and want to know how HN reacted. You query 'What do you think of [tool name]?' and see a distilled summary of positive/negative feedback with links to actual comments.
Outcome: You quickly identify common praises and critiques, helping you iterate on your product or messaging.
You're writing an article on the best practices for microservices. You search 'microservices best practices' and get a curated set of HN discussions with key points from experienced engineers.
Outcome: You gather authoritative quotes and diverse perspectives to strengthen your article's credibility.
as of 2026-07-03
The company stage and team size where Hacker Search's pricing actually pencils out — and where peers do it cheaper.
Hacker Search is free for all users during beta, with no hidden costs. Sign-up is optional and unlocks extended access, but pricing tiers are not yet disclosed. For a free semantic search tool, it's unmatched in value against any paid alternative.
How long it actually takes to get something useful out of Hacker Search — broken out by persona, not the marketing-page minute.
Immediate—no sign-up needed. Start typing your question on the homepage and get results in seconds. For extended features, signing up takes less than a minute.
Common stack mates teams adopt alongside Hacker Search, with the specific reason each pairing earns its keep.
Used Hacker Search? Help shape our editorial sentiment research.