Find people already asking for what you sell

Describe what you sell. We find who's looking for it.

SignalCrawler reads public discussions across dozens of niche Discourse forums, plus Hacker News, GitHub and Stack Exchange, to find fresh posts from people who need exactly what you offer — scored on buying intent, with a direct link to the thread. Researching a market instead? Switch to opportunity mode to see the recurring problems building up across everyone's searches.

1 credit per scan · refunded automatically if nothing matches · already have an account?

app.signalcrawler.com/scans/live

EXAMPLE RESULT

92

Can anyone recommend a WordPress developer?

Site’s been down since we migrated hosts, need this fixed today

67

Anyone know a good WooCommerce speed fix?

Checkout takes 6+ seconds, losing sales, tried three plugins already

How it works

1. Describe what you need

A sentence is enough — what you sell, or the area you're researching.

2. We search real communities

Dozens of niche Discourse forums, plus Hacker News, GitHub and Stack Exchange — whichever ones people with that problem actually post in, picked automatically for your topic.

3. You get ranked results

Leads scored on buying intent, or signals tracked as they grow across everyone's research over time.

See the full walkthrough →

Live from our database

Real signals we've found

Not staged examples — the strongest recurring problems tracked right now, pulled live from the areas already being researched.

Multiple users are experiencing slow checkout processes on WooCommerce, leading to frustration and potential loss of sales. They are seeking freelance web developers to address these performance issues, as existing solutions are inadequate.

Why this score: The pain is significant as users are actively looking for developers to fix the issue, indicating a strong intent to pay for a solution.

Already tried: Hiring freelance developers to fix checkout issues, Optimizing existing WooCommerce settings, Hiring freelance developers, Implementing performance optimization techniques, Using caching and CDN solutions

Why that fell short: Current plugins do not address performance issues effectively, Lack of expertise in optimizing WooCommerce for speed, Current solutions are not effectively addressing the speed issues, Freelancers are not responsive or lack expertise in WooCommerce optimization, Freelancers lack the specific expertise needed for WooCommerce

Buying intentTrend: NewConfidence: Medium14 mentions · 4 communities · new

Hi @stevejonas . Every other feature is meaningless if the purchase process has friction. Cart abandonment happens mostly at checkout. slow loading, too many steps. Forced account creation. Fix that first, and everything performs better on top of it.” — shopify-community

<p>I have a Wordpress site with Woocommerce. I'm extending WC_Shipping_Method with a class to create a new shipping method. I have a calculate_shipping function inside this class; the function instantiates a new SOAP connection and sends a request to a third party service that provides a detailed ” — stackexchange

Users are experiencing significant performance issues with their WordPress sites, including slow loading times and stuck loading screens. Many are frustrated and seeking immediate solutions, indicating a strong need for paid help to resolve these issues.

Why this score: The posts indicate a high level of frustration and urgency, with users actively seeking solutions to performance problems.

Already tried: Optimizing images and scripts, Using caching plugins, Upgrading hosting plans, Trying to optimize loading times, Looking for alternative platforms

Why that fell short: Current solutions are not effective enough, Performance issues persist despite optimizations, Lack of technical knowledge to implement fixes, Slow loading times due to plugin overload, Complexity in managing WordPress configurations

Pain pointTrend: StableConfidence: Medium46 mentions · 4 communities · no change

## Fixes #435 ## What Was Changed ### What Was Done Implemented the "Remove Unused CSS per Page" feature that analyzes HTML content per page, strips CSS rules not used on that page, and caches the purged CSS. Reduces page weight by 30–80% and directly addresses the PageSpeed "Reduce unused CSS" w” — github

## Problem Statement The WordPress site we were handed runs on a single server at a fixed public IP address. Every kind of state it has lives on that one machine's disk: the PHP files, the MySQL database, and every image anyone has ever uploaded. That arrangement fails in four ways at once. If the” — github

Many users are experiencing slow response times in their Django applications, particularly after upgrading to newer versions or when handling complex queries. This has led to frustration as they struggle to maintain reliable performance for their users.

Why this score: The posts indicate significant frustration with performance issues, especially after upgrades, suggesting a strong need for solutions.

Already tried: Upgrading Django versions to improve performance., Optimizing database queries and using caching strategies., Optimizing database queries, Implementing caching solutions, Profiling application performance

Why that fell short: Upgrades lead to unexpected slowdowns., Complex queries and large datasets cause delays., Existing tools do not provide sufficient insights into performance bottlenecks, Optimizations are not yielding expected improvements

Pain pointTrend: NewConfidence: Medium10 mentions · 3 communities · new

*A performance improvement rather than a defect report. `find_references` returns correct results today; it just does more work than the returned result requires. Filed as a blank issue since the available templates cover bug reports and multi-finding QA passes. `enhancement` seems the closest label” — github

> [!CAUTION] > **Do not merge this until #74351 has been deployed to production and been through a full deploy cycle.** > > Migrations `1270` and `1274` remove these columns from Django's model state but deliberately leave them in Postgres, precisely so a pod running the previous release still finds” — github

Browse every area we track →

The old way, and this way

Without SignalCrawler

  • Scrolling forums manually, hoping to catch the right thread in time
  • Reading one community, missing the other five where people also ask
  • Guessing whether a problem is common or a single loud complaint
  • Starting from zero on every new search
  • The same request posted twice, easy to miss or double-count
  • Have to remember to go back and check again tomorrow

With SignalCrawler

  • Every post scored on intent, with a one-line reason you can check
  • Multiple communities searched at once, not just the one you remembered
  • Recurring problems tracked as signals that grow across searches
  • Same lead posted twice? Merged automatically, not counted twice
  • Save a search once — it re-checks itself, free, and pings you when something's new
  • 1 credit per scan, refunded automatically if nothing matches

Why SignalCrawler

Dozens of communities, not one

Most lead-finding tools read a single social site. SignalCrawler searches dozens of specialist communities by default — the niche Discourse forums where people describe the problem in detail, plus Hacker News, GitHub and Stack Exchange.

Intent, not keywords

Matching a word finds noise. Every post is scored 0–100 on how close the author is to paying someone.

You do the talking

Nothing is ever posted on your behalf. Publishing a reply stays a decision you make, outside the tool.

Signals that grow

A recurring problem isn't a one-off report — it accumulates evidence and a growth trend across everyone's research over time.

Credits, not a subscription

Research is rarely a monthly habit. Pay per scan, refunded automatically if it finds nothing.

We don't hoard your data

Raw scraped text is kept 48 hours, then deleted automatically. What we keep longer is our own analysis, not a copy of someone's post.

Set it and forget it

Save a search as a Watchlist and it re-runs itself — daily or weekly, free — and only reaches out (email, or Slack/Discord if you connect one) when it finds a new lead worth a look.

Perfect for

Freelancers & agencies

An AI tool for finding freelance clients while the thread asking for your exact service is still open — ranked by how close each poster is to hiring.

Indie hackers

Research an area before building anything — see what's recurring and whether it's growing.

Product teams

Validate a roadmap idea against what people are actually asking for, not a hunch.

Pricing

Pay with USDT (TRC-20). No subscription, no auto-renewal — credits don't expire.

Free

$0

3 credits on signup, no card required — enough for a first real search.

Starter

$6.00

50 credits · $0.12 each

Pro

$19.00

200 credits · $0.10 each

Frequently asked questions

How do I pay?

USDT over the TRC-20 network, sent directly to our wallet. Submit the transaction ID and a screenshot; an admin confirms it and credits your account.

What if a scan finds nothing?

The credit is refunded automatically — you're not charged for an empty result.

Does SignalCrawler post anything for me?

No. It finds the conversation and scores it; writing and publishing a reply is always your decision, made outside the tool.

How long do you keep what you find?

Raw scraped posts are deleted automatically after 48 hours. Signals — our own analysis of recurring problems — are kept longer, since they're not a copy of anyone's text.

Can I cancel or get a refund on credits I bought?

Credits don't expire and have no recurring charge to cancel. See the Terms of Service for the full policy.

Do I have to keep running searches manually?

No — save one as a Watchlist and it re-checks itself daily or weekly, for free. You only hear from it (email, or Slack/Discord if you connect a webhook) when it finds a new lead worth a look.

See what's already being said about your niche

One credit per search, refunded if nothing matches.