Your buyers ask for recommendations, compare tools and complain about rivals on Reddit every day. Find those threads, join them with founder-led posts worth reading, and route the people ready to talk.
From the threads your buyers start to a weekly report on which posts booked meetings, in one loop.
Get a demoThe subreddits where your buyers talk, the pains they name and the rivals they mention.
Questions, tool comparisons and complaints about rivals, ranked by who is asking and how ready they are.
Useful posts and replies built on your case studies, written to each community's rules.
People who engage get a lead magnet. The ready ones land in Slack or your CRM, with the thread.
A weekly report shows which posts drove leads and meetings, and what to post next.
Market Signals
Market Signals watches the communities your buyers use, alongside LinkedIn, reviews and 75+ other sources. Each question, comparison or complaint is dated, links to the post itself, and is tied to the person, account and rival it touches.
Buyer Intelligence
A Reddit post is one signal. Buyer Intelligence adds it to everything else that person and their company show, like hiring or engaging with a rival. You see who is ready, what hurts and which rival is closest, routed with the reason.
GTM Alpha
Each post angle is a play: the community, the case study, the next step you offer. GTM Alpha ranks them across the market, games them out against what rivals already post, and tests each against accounts left alone. Every result recalibrates next week's posts.
Connectors
Your agents, your CRM, your outreach tools and your team’s chat, all reading from one model of your market. If the connector doesn’t exist yet, our engineers build it.
Codex
OpenClaw
Attio
beehiivWhat our team has built
Case study · goal
Grew a subreddit from zero to 100K+ members, making it the go-to community in the category.
Case study · goal
Built a 20K+ engaged following and achieved GEO ranking within the first week of launch.
Case study · goal
Achieved first-page AI citation placement across ChatGPT, Claude, and Perplexity within one week.
Case study · goal
$100K in prizes. NYC Agent Hacker House.
Case study · goal
Senior engineers from top companies in real product conversations.
Resources
Fit tells you which companies could buy. Only a signal tells you when. A buying signal is a change, at a named company, on a known date, that you can go and check for yourself. This is the full landscape of 27 signal types in nine groups, the public record behind each one, and why several signals landing on the same company inside a week is the thing worth acting on rather than any single alert.
Harshil Jani
Generic AI content has four causes: training data distribution, RLHF typicality bias, probability mechanics, and the writer's prompt. Only the last one is under your control — and context engineering is how you fix it.
Harshil Jani
Marketing leaders are experimenting with AI agents but building in silos. The true advantage comes when you have a clear strategy. From AI-assisted persona targeting to competitor signal scanning, these 10 applications show how a unified agent layer transforms B2B marketing performance.
Sebastian LourençoWe look at your market together and show you the moves worth making first, on your own or with our engineers.
FAQ
Some posts get removed. That is how Reddit works, and anyone who says otherwise is guessing. We write posts worth reading, follow each community's rules, warm accounts up properly and lead with the answer. The case study or lead magnet comes last.
AI search tools draw on Reddit threads when people ask which tool to use. Useful posts and replies on the topics your buyers search put your name in those threads, and blog posts on the same keywords back them up.
Yes. Our engineers can run it for you, with a shared Slack channel and a weekly report on why each community was chosen and what it drove. Or your team connects to the same data over MCP and runs Reddit in-house.
