Write content from real public pain, not a keyword list.

The best post answers a question someone actually asked. IntentHunter surfaces the recommendation requests and category-pain threads on Reddit and Hacker News where people describe the problem in their own words, scores each one 0-100, and says in one line why it matched, so your next post writes itself from real demand.

What's actually happening today

You write what you guess the audience cares about

The calendar fills with topics that sound right in a planning doc. The post ships, engagement is flat, and nobody can say why. Without real audience pain as the input, you are guessing, and the feed knows it.

High-volume keywords miss the question being asked

A keyword tool hands you "best CRM," and now you are competing with HubSpot for a term nobody asked in those words. A post built from a specific thread answers a question a real person is actively typing into a search bar.

Mining threads by hand wastes the afternoon

Scroll five subreddits for usable post ideas and most of what you find is off-topic, flat, or already answered. You want the threads scored and the reason they matched, not the raw firehose.

What IntentHunter does for you

Real pain, in real customer language

Scored signals include the original thread context: people describing the problem in their own language. Use that phrasing to shape posts that sound closer to the market.

Category-pain threads as opinion-piece fuel

The "category pain" intent type surfaces threads where users vent about your space without naming any specific product. Useful fuel for category-defining angles ("here's what's broken about X tools in 2026") that don't require a vendor pitch.

Recommendation requests as ranking hooks

Threads where someone asks "what's the best tool for X" show how your audience phrases the search. Use that language to shape a more relevant post.

One signal, multiple distribution surfaces

A single scored thread can become a blog idea, social post, product note, sales note, or customer-research snippet, same source pain, adapted to the channel.

From setup to your first useful signal

  1. 01

    Describe your product, ideal customer, and category

    The more specific the category, the more relevant the scoring.

  2. 02

    Open the scored inbox for category pain + recommendation requests

    Both intent types double as content fuel: category pain for opinion pieces, recommendation requests for buying-guide angles.

  3. 03

    Write the post the thread is asking for

    Quote (or paraphrase) the original ask, answer it the way you wish someone had answered it for you, and cross-post wherever your audience reads.

Common questions

How does this work without me knowing what to search for?
You describe your product, ideal customer, and category, then IntentHunter scores matching public threads from supported sources. Category-pain and recommendation-request threads can become inputs for your next post.
Can I really get a full content calendar from this?
It depends on category, source volume, and how specific your setup is. Treat the inbox as a source of real audience language, not a publishing calendar.
Isn't this the same as a content-gap tool like Clearscope or Surfer?
Different input, different output. Those tools optimize an existing topic for SEO. They tell you what to add to a draft so it ranks. IntentHunter tells you what to write about in the first place, based on what real people are actively asking for. Use both: IntentHunter for the topic, SEO tools for the optimization.

Ready when you are.

Create a project, pick your sources, and see what your market is already asking for.