The problem this solves
Some of the most honest buying conversations happen in public threads: someone describes a problem in detail, asks what others use, and a dozen practitioners answer with what worked and what failed. Those threads are a map of demand for <category>, and the people in them are, at that moment, evaluating. Most teams read the threads for product feedback and never treat them as a source of accounts.
Turning a thread into a list requires care. Participants are pseudonymous, so a company can be identified only where a public profile or a self-description makes it possible, and the qualification has to run on the company rather than the person. The result is a warm list in the true sense: companies with a documented, public reason to be interested, found without contacting anyone, ready for a message that engages the specific conversation.
Posted to #signals with the thread links, the list gives sales and product the same view: which companies are talking about the problem, and what they said.
How the mission runs
- Find the relevant threads. The Signals Agent searches Reddit and the open web for threads from the last 30 days where people describe the problem <our product> solves, ask for recommendations in <category> or compare tools like yours, and reads each thread to confirm relevance before it counts.
- Identify participants' companies where public. For each substantive participant, the agent checks whether a public profile or a self-description in the thread names an employer. Only companies identified from public information are used; participants who cannot be identified are counted but never guessed at.
- Qualify the companies against the ICP. Identified companies are enriched with headcount, industry and HQ and scored against your ICP. Companies outside the band are kept on a secondary list so the market picture stays complete.
- Post the qualified companies with thread links. The qualified companies are posted to #signals, each with the thread link, a one-line summary of what was said and the fit score, and saved as a list so the personalization playbooks can write a message that engages the thread.
The prompt
This is the exact objective the agent receives. Swap the obvious placeholders for your own domain, segment or channel and run it as-is from the console, Slack, or the API.
What comes back
A #signals post listing ICP-fit companies whose people took part in public threads about <category> in the last 30 days, each with the thread link, a summary of the relevant comment, the fit score and the company's firmographics, saved as a list in the workspace. The report gives the number of threads read, the participants counted, the share whose company could be identified from public information, and the qualified total.
Make it yours
- Run it weekly and post only threads and companies not seen before.
- Include named review sites and community forums alongside Reddit.
- Hand the list to the outreach playbooks for a first touch that references the thread, sent to a verified work address.
- Send the unqualified companies to a nurture list rather than discarding them.
Frequently asked questions
Does this contact anyone on Reddit?
No. The mission reads public threads and identifies companies from public information only; no messages are sent on any platform, and outreach happens later through verified work email if you choose.
How many participants can usually be identified?
It varies widely by community; many participants are anonymous. The report states the share identified so you can judge coverage, and nothing is inferred beyond what is public.
Can I search a specific set of subreddits?
Yes. Name them and the search is limited to those, or leave it open and the agent finds the communities where your category is discussed.
Can product and sales both use the output?
Yes. The thread summaries give product the language buyers use for the problem, while the qualified companies give sales a warm list, and both come from the same post so the two teams see identical evidence.