Find Leads on Hacker News Before Your Competitors Do
Ask HN, Show HN, and buyer-intent comments become a ranked list of real prospects. With Agenmatic, the monitoring runs for you, so you reach people already asking for what you sell — the moment they post.
Why Find Leads on Hacker News With AI?
Filtering real Hacker News conversations for purchase intent beats drowning in the firehose. The result is a daily list of warm prospects worth your reply — not another feed to babysit.
Catch Buyer Intent the Moment It Appears
Ask HN and Show HN posts show up the instant they go live, so you can reply while the need is still top of mind and beat slower competitors. With Agenmatic, the feed is watched around the clock, so you never miss a live buying question.
Stop Reading Hacker News by Hand
Continuous monitoring replaces hours of manual feed-scrolling with a short, intent-ranked list. You review a curated set of prospects instead of hunting through the firehose yourself.
Scale Warm Outreach Across Niches
Each post is mapped to your offerings and scored for fit, so one workflow covers every niche you serve. Add your own pain-point queries and the same pipeline adapts to new markets without extra setup.
What You Can Find by Mining Hacker News
Not every HN signal is a buyer. The strongest leads come from buying intent — Ask HN questions, 'alternative to', and competitor complaints — while Show HN and hiring threads are context and growth signals worth watching.
Buyer-Intent Ask HN Leads
'Best tool for X' and 'recommendations for Y' questions become a list of people ready to buy, ranked by fit. These are the highest-intent leads Hacker News produces.
Buyer-Intent Comment Leads
Comment threads where people write 'looking for', 'recommendations for', or 'any tool for' reveal a need in their own words — often the warmest signal of all. Catch them mid-conversation and reply with exactly what they asked for.
Competitor-Complaint Leads
'Alternative to' and complaint threads reveal users frustrated enough to switch. Catch them before they commit to a rival and offer a better fit.
Show HN and Hiring Context Leads
Show HN launches and 'who is hiring' posts are context and growth signals — not buying questions, but warm intro moments for the adjacent tool or service you sell.
How to Find Leads on Hacker News With Agenmatic
Finding Hacker News leads takes four moves: monitor the conversations, detect buyer intent, score every match, and respond while the thread is still live. With Agenmatic, Hacker News is read through its public search API — no login, no API key, no scraper to build.
Monitor Hacker News Automatically
With Agenmatic, Hacker News is read through its public, key-less search API — no login, no proxy, no anti-bot to fight. Pick the signals you care about (Ask HN, Show HN, comments, or all three) and monitoring runs on its own.
Detect Buyer Intent
Every post is checked against buyer-intent phrases like 'looking for', 'alternative to', and 'recommendations for', plus your own niche pain points, so only posts that signal a ready buyer surface.
Score Every Match
The system extracts the stated need, urgency, and budget signals from each post and assigns an intent score and a fit score out of 100, so the strongest prospects rise to the top of your list.
Respond While It's Live
Review the ranked lead, edit the AI-drafted reply tuned to the poster's stack, and publish your response while the conversation is still fresh — before a competitor shows up in the thread.
Real Hacker News Threads That Become Leads
Here is how a raw HN thread becomes a ranked lead: the post is detected, the intent and fit are scored, and a reply is drafted for you to review. Example detections below.
Ask HN: 'Best CRM for a Small Team?'
Detected: direct buying question. Intent score 91 · Fit score 84. With Agenmatic, you get the thread, the author's profile, and a draft reply tuned to their stack — a ready buyer, surfaced before the thread fills up.
Show HN: 'My New Analytics Tool'
Detected: founder launch (context signal). Intent score 46 · Fit score 72. A fresh launch is a warm intro moment for the adjacent service you sell — the workflow scores the fit so you can time a helpful comment, not a pitch.
'Looking for an Alternative to X'
Detected: switching intent. Intent score 88 · Fit score 79. A commenter vents about a competitor; the system catches the complaint and suggests a reply that offers a better option while the frustration is fresh.
Who Can Find Leads on Hacker News?
Anyone whose buyers discuss tools and workflows in public can turn Hacker News into pipeline. Founders, agencies, consultants, and SaaS teams all use it — but the play differs by role.
B2B Founders and Indie Hackers
Solo founders and small teams spot people who need exactly what they built — often the same day those people post, with no ad spend. A single Ask HN thread can become a week of qualified conversations.
Agencies and Consultants
Service providers map HN posts to their offerings and turn Ask HN and Show HN threads into a steady pipeline of discovery calls, instead of chasing cold inbound that never replies.
SaaS Marketing and Sales Teams
Growth and sales teams catch competitor complaints and buying questions, then engage with a helpful reply before a rival shows up in the thread. It is competitive intel and outreach in one view.
Frequently Asked Questions
Founders, agencies, and sales teams turn real HN conversations into warm prospects. Learn how buyer-intent monitoring, intent scoring, and AI reply drafts work — and how to do it without spamming.
It means scanning Ask HN, Show HN, and HN comments for posts where people describe a need, ask for a recommendation, or complain about a competitor — then turning those real conversations into outreach. Each lead is a person who raised their hand in public, and with Agenmatic those posts are scored and ranked for you.
Yes. There is no scraper to build and no feed to babysit — with Agenmatic, Hacker News is read through its public, key-less search API, so you get buyer-intent posts without the engineering overhead. No login or API key required.
No. Monitoring runs continuously and ranks every post by intent, so you review a short, high-signal list instead of scrolling the firehose by hand. The repetitive hunting is handled for you.
The strongest come from buying intent: Ask HN buying questions, comments with 'looking for' or 'alternative to', and competitor complaints. Show HN launches and 'who is hiring' threads are context and growth signals — useful, but a different tier of intent.
Yes. Add your own pain-point queries and niche keywords, and each post is mapped against your offerings with a fit score — so the leads you see match what you actually sell.
Leads are sorted newest-first and filtered to the last few days, so you reach prospects while their need is still top of mind. Replying within hours of a post is what turns a thread into a conversation.
Usually, yes. People who post on Hacker News have already described a problem or asked for a tool — they raised their hand on their own. Outreach built on that context is helpful, not intrusive, which is why it converts better than a cold list.
A generic scraper returns every post and leaves you to dig for the few that matter. Filtering to purchase intent first turns the output into a short, high-signal list of people who just expressed a need — not a raw dump of the whole site.
Yes. AI-written reply drafts are built from your profile and personalized to the poster's stack and stated need. You review the draft, edit if needed, and publish your reply while the conversation is still live.
With Agenmatic, you get an intent score out of 100, urgency and budget signals, and a ranked list drawn from 40+ communities including Hacker News. Real people post the intent; AI only filters, scores, and prioritizes it, so you reach clients before competitors reply.
Start with buying-intent threads: Ask HN questions like 'best tool for X', comments with 'looking for' or 'alternative to', and competitor complaints. Score each by fit, then reply with something genuinely helpful. The goal is to catch people mid-decision, not to broadcast.
The best are Ask HN buying questions and 'alternative to' complaints — direct, high-intent, and easy to answer. Show HN launches and 'who is hiring' threads are strong secondary sources: less intent, but great warm-intro moments for the tool or service you sell.
Lead with the poster's context, not your pitch. Answer the question or the complaint first, mention your product only if it fits, and never message people who didn't ask. Helpful replies in a public thread build trust; copy-pasted pitches get downvoted.
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Hacker News Lead Generation With AI
Turn Ask HN, Show HN, and buyer-intent comments into a ranked list of real prospects. With Agenmatic, you catch people already asking for what you sell — the moment they post.
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