Hacker Search
Discontinued: Hacker Search, the semantic search tool for Hacker News, is no longer available.
Hacker Search is discontinued. Its founder took it offline because free chatbots now cover the job.
Verified 7d ago · liveness 56/100 · cite: rightaichoice.com/tools/hacker-search
- Builders studying why narrow LLM wrappers get retired once general chatbots catch up
- Anyone who used Hacker Search before 2025 and needs a replacement recommendation
- Researchers of semantic search over forum data who want the archived engineering write-ups
- Anyone looking for a working Hacker News search tool today — the site is offline
- Users needing raw HN data exports or full archive access
- Anyone requiring an API or programmatic access
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
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Skip Hacker Search entirely if you need a working tool today — the domain serves a discontinuation notice, and the semantic search and Q&A features are no longer available.
There is no pricing to weigh — Hacker Search was free throughout, and the current site shows only a discontinuation notice. For the underlying job, ChatGPT, Claude and Perplexity all offer free tiers that cover asking what HN commenters think about a topic.
In short
Hacker Search — Discontinued: Hacker Search, the semantic search tool for Hacker News, is no longer available. Best for Builders studying why narrow LLM wrappers get retired once general chatbots catch up, Anyone who used Hacker Search before 2025 and needs a replacement recommendation, Researchers of semantic search over forum data who want the archived engineering write-ups. Free to use.
What's new in Hacker Search
Checked 7 days agoAcross the latest 1 update: 1 news mention.
What people actually say about Hacker Search — is it worth it?
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) · researched Jul 3, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +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.
- +Free to use in beta with no credit card required.
- −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.
- −Limited to one platform (Hacker News) — no cross-community search.
- • Sign-up may be required for extended access; details are vague.
- • Future paid tiers could remove free features.
Viability Score
How well maintained and how widely used is Hacker Search? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key 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
About Hacker Search
Hacker Search no longer exists. It asked natural-language questions about Hacker News and returned LLM-written summaries of matching comments, each linking back to the original thread, built on a semantic embedding index of roughly three years of HN comments. Builder Jonathan Unikowski (@jnnnthnn) shipped it in 2024, when, as he puts it on the homepage, "it was still unclear how to get LLMs to do this job well." The farewell note now served at hackersearch.net — and at /pricing, /changelog, /release-notes and /docs alike — states plainly that "any free chatbot on the internet can do this well," and that because Hacker Search was no longer unique, its maintenance was no longer worth it. The product was free while it lived and was aimed at developers, founders and anyone who wanted HN's collective opinion on a library, a startup or a technical debate without fighting the site's native keyword search. Anyone arriving now gets a goodbye page, a link to Unikowski's newer project Avec, and two blog posts explaining how the Q&A feature and the semantic search engine were built. Practical substitute: paste an HN thread into ChatGPT, Claude or Perplexity and ask what commenters actually think — that covers the question-answering job, though it will not browse three years of HN comments the way the original index did.
Behind the Verdict
Hacker Search is worth reading about for exactly one reason: it is a clean, honestly documented case of a narrow LLM wrapper reaching the end of its useful life. The tool did one thing — let you ask natural-language questions about Hacker News and get LLM-written summaries of the relevant comments, each with a link back to the original thread — on top of a semantic index of about three years of HN comments. That combination was genuinely useful in 2024, when, in the builder's own words, "it was still unclear how to get LLMs to do this job well." A year or two later the same job is done by any free chatbot, and the author says so directly on his own homepage rather than quietly letting the domain rot. The strengths, while it lasted: concept-based matching meant you did not need to guess the exact keyword a commenter used, results cited back to real HN comments rather than paraphrasing them into thin air, sample questions seeded exploration, and the whole thing was free with an optional sign-up for extended beta access. The weaknesses are the standard ones for this class of tool, and the shutdown itself is the evidence: the core value sat on someone else's data (HN) and someone else's models, with no moat, no proprietary corpus, no workflow depth — just indexing and prompting that general assistants absorbed. Once that happened, maintenance on a tool nobody uniquely needed stopped being a rational use of a solo builder's time. Where it fits now: nowhere as a product. Read the two linked blog posts if you are building or studying semantic search over forum data; that is real, still-relevant engineering write-up material. For the underlying question — what do HN readers think about X — paste the thread, or a few threads, into ChatGPT, Claude or Perplexity. You will lose the three-year automated sweep and the citation-to-comment plumbing, and you should expect to do more of the thread selection yourself. Where it does not fit: anyone who needs a working search tool today, raw HN data exports, an API, or a vendor with a support relationship. There is no vendor relationship to have.
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Real-world workflow fit
Concrete scenarios for the personas Hacker Search actually fits — and what changes day-one when you adopt it.
You want the crowd's read on Rust for web development but the live tool is gone, so you paste two or three of the most relevant HN threads into ChatGPT and ask it to summarize the dissent as well as the consensus.
Outcome: You get a grounded summary of real commenters' opinions in minutes, minus the automated three-year index Hacker Search once provided.
You read the homepage farewell note and the two linked engineering write-ups on the Q&A feature and the semantic search engine, then compare that architecture against what a general assistant can now do natively.
Outcome: You come away with a concrete, documented example of why a thin semantic-search-plus-prompting layer over someone else's data loses its moat.
Before a partnership call you want HN sentiment on the company; with the tool retired you search HN manually, pull the top threads, and feed them to Perplexity to summarize what commenters praise and distrust.
Outcome: A usable sentiment read for negotiation, though recent coverage depends on which threads are surfaced.
Use Cases
- Historical reference: study how the Q&A feature and semantic search engine were built via the two linked blog posts
- Assess a library or framework by reading what HN commenters said about it
- Compare Hacker News sentiment on two competing technologies such as React and Vue
- Check community opinion on a startup or product launch before you commit
- Read up on career and compensation advice as discussed by HN commenters
Limitations
- Hacker Search is discontinued.
- The homepage, and every other path we fetched (/pricing, /changelog, /release-notes, /docs), now serves a farewell note: "any free chatbot on the internet can do this well," and because the tool was no longer unique, its upkeep was no longer worth it.
- Its former features — semantic search over HN comments and LLM-generated Q&A — cannot be used.
- As a bare URLs-only product it never offered an API, raw data exports, team features or real-time coverage, and it is not affiliated with or sponsored by Hacker News or Y Combinator.
- For the job it once did, paste the relevant HN thread into ChatGPT, Claude or Perplexity and ask what commenters think.
as of 2026-10-01
Verification history
We have re-verified Hacker Search 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Hacker Search's pricing actually pencils out — and where peers do it cheaper.
There is no pricing to weigh — Hacker Search was free throughout, and the current site shows only a discontinuation notice. For the underlying job, ChatGPT, Claude and Perplexity all offer free tiers that cover asking what HN commenters think about a topic.
Setup time & first value
How long it actually takes to get something useful out of Hacker Search — broken out by persona, not the marketing-page minute.
Not applicable in the usual sense: the original product's setup path is gone. Replicating the job it did takes about five minutes — open ChatGPT, Claude or Perplexity and paste the HN thread you care about. Reading the archived engineering blog posts for the full picture takes 15-20 minutes.
Switching to or from Hacker Search
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From browser bookmarks to the old Hacker Search: no longer possible — the tool is offline, so use a general assistant on the specific HN threads you care about instead
- →From native Hacker News search: paste the thread you found via HN's own search into ChatGPT, Claude or Perplexity and ask for a comment-level summary
- ↗To ChatGPT, Claude or Perplexity: paste the HN thread URL or its text and ask what commenters concluded, including the disagreement
- ↗To native Hacker News search: use HN's own search and comment sorting when you want to read the thread yourself rather than a summary
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Hacker Search”, and we withheld 6: 6 did not mention Hacker Search. We are showing none, because we could not prove any of them are about Hacker Search.
Official links
Tools that pair well with Hacker Search
Common stack mates teams adopt alongside Hacker Search, with the specific reason each pairing earns its keep.
Horizon
Open-source, self-hosted AI news aggregator that scores RSS and Hacker News stories and ships a daily English/Chinese briefing.
Kagi
Kagi is a paid, ad-free private search engine with a private AI assistant grounded in its own results.
Scout
Scout delivers a personalized 5-minute daily news briefing built around your role, industry, and city.
Featured Head-to-Head Comparisons
Hacker Search vs Praktika
Choose Hacker Search if you need quick access to HN community opinions on technical topics. Choose Praktika if you want to practice speaking a new language with an AI tutor. They serve entirely different needs, so your decision depends on whether you're researching or practicing communication.
Hacker Search vs Surge Ai
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 vs Undermind
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.
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