The conversations that matter most are happening without you.
Right now someone is asking for recommendations in your category, someone is venting about your competitor, and a customer is airing a problem you could fix today.
ThreadSonar is social listening with judgment: it watches six platforms around the clock, works out which conversations matter and who's talking, and delivers them to your inbox, your Slack, or your AI agent.
not-relevant matches are credited back. you pay for qualified, never for noise
sonar contacts · 🦞 = a conversation that matters
sweeping…
Every thread does two jobs.
Today, that “what should I use for X” thread is a live buyer you could win. For the next three years, it's a source ChatGPT and Perplexity will cite when every other buyer asks the same question.
Join the conversation, win the person in it
Reply while the thread is live: win the buyer, save the churning customer, correct the record. Results this week.
Be present in the threads AI trusts
AI engines learn who to recommend from these exact threads. Show up and you're recommended to buyers you'll never meet. That's share of model.
the gap
Almost nobody does either, because nobody can find the threads: millions of conversations, and the relevant ones die within hours.
ThreadSonar finds them. It doesn't post, doesn't send, doesn't automate outreach. It answers one question extremely well:
Where should you be talking right now?
Buyers now ask AI first. Are you in the answer?
That headline means these conversations too. Someone asks ChatGPT “what should I use for X,” a vendor gets chosen, and no dashboard ever sees it. The fastest-growing part of your funnel is invisible.
ThreadSonar makes it a number, then makes it movable. We ask your category's buying questions to every major engine on a schedule, and surface the cited threads behind the answers that skipped you. One click turns a thread into a signal. Showing up is how the line bends.
illustrative data · the real board lives at /geo in your workspace
Triage in one tap. It learns from every tap.
This is the real app, so click around. 👍 sharpens the signal, 👎 credits it back, new matches drop in live, and the Share of model tab shows the GEO board.
- 95HOTSarah ChenFounder @ PropFlow · CRM for property managers
Since Intently shut down we've been scrambling for a replacement. Need a social listening tool that watches Reddit + X for people actually asking for products like ours. Happy to pay $200-300/mo if the leads are qualified. What is everyone using?
Founder explicitly seeks a replacement after losing access, budget and criteria stated.· Intently refugees
Open post - 91HOTPriya NatarajanVP Marketing @ Craftline · B2B manufacturing SaaS
We're consolidating our GTM stack next quarter and social listening is the biggest gap. If your team found something that surfaces actual buying conversations, not vanity mentions, I'd genuinely love an intro. Budget is approved.
Approved budget + active vendor search posted to her network.· Solution seekers
Open post - 88HOTgtm_danRuns listening for 6 B2B clientsr/marketingagency
Our agency runs listening for 6 B2B clients and Brand24 is getting way too expensive for what it delivers. It keeps flagging junk and missing the actual buying conversations. Is there anything that scores posts for intent?
Agency operator complaining about competitor precision and price. Ideal ICP.· Competitor complaints
Open post - 72WARMmkozlowskiBuilding devtools. Prev: infra @ StripeAsk HN
Ask HN: how do you find early users for a niche B2B product? I've been manually searching Reddit for people complaining about the problem we solve. It works but takes ~5 hrs/week and I definitely miss threads.
Describes the exact manual workflow the product automates, with quantified pain.· Solution seekers
Open post
Marketing & GEO
Mentions, sentiment, share of voice, and the dark-social threads where your category gets discussed. The same threads are what AI engines cite.
Product & Customer Success
A gold mine of issues: what people hate about your competitors, what frustrates them about you, customers venting before they churn. Roadmap fuel, or a save.
Sales & GTM
Buying signals in the wild: pain, asks for recs, competitor complaints. Reply while intent is hot, straight into pipeline.
Compiled into native queries for all six platforms, a scoring rubric, and semantic anchors. No booleans, no keyword lists.
“our tool just tripled prices, what are people moving to?”
why: actively switching, budget confirmed · reply draft included
Scored, tagged, explained. Delivered to the inbox, Slack, or your agent.
your 👍/👎 flows back into the judge: precision sharpens weekly, not-relevant is credited back
The threads you join become the sources AI engines cite: leads land today, share of model climbs for years.
One sentence away from any audience.
Signals are plain English: describe the conversation and it's on your radar. Each of these is one click from being yours.
“Alert me the moment someone asks how to cancel our competitor”
Salescreate ↗“Catch our own customers venting publicly before they churn”
Customer successcreate ↗“Find every 'what do you all use for…' thread in our niche”
Demand gencreate ↗“Find users rage-posting about a competitor's price hike”
Competitivecreate ↗“Show me strangers ranting about the problem we solve”
Founderscreate ↗“Catch job posts that reveal a company will need us next quarter”
RevOpscreate ↗
Signal data your team, or your agents, can act on.
Live signals are only worth what you do with them. Route them to a Slack channel for humans, or plug any agent straight into the data over MCP.
Slack, for your team
Every qualified conversation lands in your channel with the post, the score, the why, and a reply draft, while the thread is still warm.
Each workspace gets its own Slack, even different Slack orgs per product.
An MCP server, for your agents
Point Claude, Cursor, or your own agent at our MCP server: it pulls fresh leads, uses the drafts, and marks them contacted.
Listening to acting, no human in the loop required.
fluent in the agent ecosystem openclaw kicked off 🦞
> get_leads { status: "new", band: "hot" }
{ "count": 3, "leads": [ { "intent_score": 88,
"rationale": "asking for alternatives to…",
"reply_draft": "Sounds rough. We…" } … ] }
> mark_lead { status: "contacted" }connect an agent →Share of voice in threads
Every listened post tagged by who got named: you or a competitor. The thread-level twin of the share-of-model board.
Engager mining
The people liking and replying to competitor posts become a warm audience list you can export.
Account watch
Follow a competitor account and its execs. Every post, every engager, every slip.
Verified contacts
Qualified leads arrive with verified work email and mobile, resolved through a multi-vendor waterfall.
All six live today. Every post scored by the same funnel, delivered to the same queue.
Someone just posted about the problem you solve. Someone else is venting about your competitor.
People call this category social listening. That undersells it: listening is passive consumption. This is knowing which conversations to be in, before they're over.