Evidence-backed prospect research for GTM engineers.
Drevon reads what your buyers post on LinkedIn, Reddit, Sales Navigator, job boards and company sites, then hands you a brief where every claim links to its source. Built for GTM engineers, fast enough for a rep with calls this afternoon.
Runs on the Claude Code, Codex, Copilot, Gemini, or Antigravity plan you already have
macOS 11+ · Apple Silicon & Intel · No account required
Claude Code
OpenAI Codex
GitHub Copilot
Google Gemini
AntigravitySee a prospect research run, end to end
Prospects don't leave evidence in one place. Drevon reads wherever they've left it.
“Find people actively asking for a tool like mine.”
Drevon reads Reddit threads in your niche, finds people describing the exact pain point you solve, and hands you the thread, the quote, and the person. Your opening line is already written.
SESSION 4A1F · 6m 41s · 61 steps
“Find companies that just hired for the role I sell to.”
New Head of Growth? Just posted the job? Job changes are the loudest buying signal there is. Drevon watches them and delivers the list with receipts.
SESSION 7C03 · 9m 03s · 78 steps
“Find companies that just raised and are about to spend.”
Fresh funding, new market entry, leadership change. Drevon connects the event to the buying intent and tells you who to talk to before your competitors read the news.
SESSION 9E12 · 7m 55s · 66 steps
“If you can open it in a browser, Drevon can work it.”
Job boards, communities, review sites, competitor mentions. If intent leaves a trace in public sources, Drevon can find it.
SESSION F5D7 · 14m 20s · 91 steps
Every claim in the brief links to its source. You'll never wonder why someone is on the list.
Why your GTM stack
still can't do the research
Your growth stack is drowning you.
Your growth team pays for ten tools, stitches them together with spreadsheets, and still misses the research. Nine broken stages, one root cause: nobody has time to read what buyers actually post.
Drevon has the time. It reads what your buyers write, what their companies have been through, and why now is the moment, then hands you the list with the evidence attached.
You don't have to burn your stack to try it. Drevon exports to Clay, HubSpot, and whatever else you run. We're asking for 10 minutes, not a migration.
The AI subscription you already pay for, pointed at prospecting
You're already paying for the most powerful growth tool on earth. You just can't use it.
Claude Code and Codex are engineering tools with engineering interfaces. Someone on your team has already spent a weekend trying to make them do growth work in a terminal.
Drevon connects to the subscriptions you already have and puts a growth interface on top. Ask in plain English and get high-intent prospects, all backed by live evidence. Drevon handles everything underneath.
It runs on the subscription you already bought
Drevon drives Claude Code, OpenAI Codex, GitHub Copilot, Google Gemini, or Antigravity for you. No new AI bill, no API keys to manage.
No terminal. No agent configs.
You describe the outcome in a sentence. Drevon handles the rest.
It works with your logins
The agent browses in your browser, with your sessions. It reads what your buyer posted this morning, and what they posted three years ago. A data vendor sells you neither.
Five minutes, or fifty
Some sessions come back in five minutes. Some agents run for fifty. Either way you get told when it lands.
Agencies run two-hour sessions
We have watched agencies kick off a session, go do client work, and come back to a week of pipeline research finished.
You watch it work
Every step is on screen while it happens, and every result links back to the page it came from. Nothing you have to take on trust.
Build an outbound list in 30 minutes, not a day
Twenty reach-outs used to cost you a day.
Fifteen to twenty genuinely personalized reach-outs is a full day for a senior rep. Drevon researches the whole batch in 15 to 30 minutes. Each line in the brief links to the post, thread, or page it came from, so you can check any claim in one click before it goes in a message.
The same run works as pre-call account research: company history, old blog posts, past roles, funding events. Context from three years ago lands harder than last month's activity everyone else is quoting.
Fifteen to twenty genuinely personalized reach-outs is a full day for a senior rep. Drevon researches the whole batch in 15–30 minutes.
Each line in the brief links to the post, thread, or page it came from. Check any claim in one click before it goes in a message.
Company history, old blog posts, past roles, funding events. Not just last month’s activity. Context that makes messages land.
How Drevon runs prospecting on your Mac
Set up once, delegate forever. One prompt, a full GTM run.
Install Drevon on your Mac.
It runs locally, on your machine, with your accounts.
Log in once.
Give Drevon access to your browser and sign in to the platforms your work touches: LinkedIn, Reddit, Crunchbase, Sales Navigator. One time. That’s the whole setup.
Prompt it like a colleague.
“Research these 25 prospects: what they’ve posted, what their company’s been through, why they’d buy. Cite everything.” Then go do something else.
Run parallel AI agents for lead research
It's time growth teams ran parallel agents at scale.
Everybody in growth wants this. Almost nobody runs it, because nobody has shown what the system looks like. Drevon shows you.
One agent mining Reddit for pain points
It reads the threads where prospects describe the problem you solve, in their words, while you sleep.
Another watching funding announcements
It catches the round the week it closes, and works out whether they raised to build or raised to sell.
A third building your lead list
It runs Sales Navigator against your ideal customer profile and hands back matches with the reason each one qualified.
All at once, all reporting back with evidence, all while you focus on the work that actually needs a human.
One app for all of go-to-market. You're the manager. Drevon is the team.
Runs on your Mac. On purpose.
We have cloud versions too. But we'll be straight with you: use the local version first. It's where you see the real power: your browser, your logins, your accounts, agents working right in front of you. No black box. No “trust us.” You literally watch it work.
Connect your GTM stack over MCP
Drevon runs on the AI agents you already use, with seamless MCP integration: any tool that publishes an MCP server connects in Settings. Connect your CRM and the research stops being generic: what your team already knows about the account becomes part of the brief.
Jobs your agent can run
The 21 tools GTM engineers actually run
Where a tool publishes an MCP server, add it in Settings and the agent can read it. Everything else travels the way it always has: the CSV, JSON and Markdown every run writes to disk.
CRMs
What your team already knows about the account becomes part of the brief.
Enrichment
Enrichment and identity resolution from what is actually published, not per-row credits.
Outreach
The research lands in the sender you already trust, evidence attached.
Analytics
Ask who converted last quarter, then go find more of them.
Workspace & export
Every run also writes plain CSV, JSON, and Markdown to a folder you chose.
What Drevon users are saying
“Have been trying to shift almost all my existing automations to Drevon only. Currently running an agent to check and report critical issues in all the articles that we have posted so far after Google's AI rankings policy update, and it's working like a charm.
Love the UI and the setup. Will be using it next for some of my browser automations for my influencer writer database.”
“Committing to outcomes as an agency traditionally requires significant human effort and large teams.
With Drevon at TGM, we've changed that equation. Today, a single operator can handle end-to-end execution for a client and deliver results that previously required a team of five without compromising on quality or speed.”
“Love the fact that I can do agentic tasks through Drevon only using my Pro subscription of GPT.
The GTM research tool is really good. I have recommended it to other friends as well.”
Frequently asked questions
Yes. Describe your ideal customer in a sentence, or point Drevon at a Sales Navigator search, and it returns a CSV where every row carries the reason the account matched and the source behind it.
Yes. Ask for a pre-call brief and Drevon reads the company’s history, funding, hiring, and what the people in the room have said publicly, with a link on every claim. Agencies run these in batches.
It reads the public sources where real-time buying signals actually show up: Reddit threads, LinkedIn posts, job changes, funding announcements, review sites. Every signal comes with the page it was found on.
The ones a GTM team actually delegates: build a lead list, account research, account health checks, an account relationship recap before a renewal, competitor analysis, an AE-to-CS handoff brief, buying committee mapping, pre-call briefs. Each job is a prompt, and every output cites its sources.
No. Drevon reads public pages and the tools you’re already logged into. If you run Clay or HubSpot, Drevon exports to them.
gtm.ai is ZoomInfo’s interface for AI agents: your agent queries their database, and you pay for a ZoomInfo contract plus credits. Drevon needs no data contract. It researches in your own browser with your own logins and cites the page it read.
Any one of Claude Code, OpenAI Codex, GitHub Copilot, Google Gemini, or Antigravity. Drevon drives the plan you already pay for; there is no separate AI bill.
Drevon is a macOS desktop app that does evidence-backed prospect research for GTM engineers. From one or two prompts it finds high-intent customers and researches them in depth: LinkedIn activity, Reddit threads, blog posts, podcasts, years of company history, with every claim linked to its source. It runs AI agents (powered by Claude Code, OpenAI Codex, GitHub Copilot, Google Gemini, or Antigravity) directly in your own browser, without adding new subscriptions or sending data to the cloud.
Where your CRM publishes an MCP server (Model Context Protocol), yes: add it in Settings and its data becomes part of the research, so the agent can check what your team already knows about an account before it goes looking. Drevon takes any MCP server, not a fixed list. For everything else, it exports structured files to the tools you already run.
Clay is a cloud-based enrichment tool that uses API calls and third-party data providers. Drevon runs agents in your own browser, logged into your real accounts (LinkedIn, Sales Navigator, your CRM). This means Drevon can pull data Clay cannot reach (saved searches, private LinkedIn signals, personalized CRM context) and it charges no per-row credit fees.
Apollo is a contact database with outreach sequencing. Drevon is an agent runtime that can pull from Apollo, LinkedIn, your CRM, and any web source simultaneously. Drevon does not sell you data. It automates how you gather and use it.
No. Drevon is free to download and runs on top of Claude Code, OpenAI Codex, GitHub Copilot, Google Gemini, or Antigravity. These are plans you likely already have. There are no per-row fees, no credit system, and no new contract.
Yes. Because Drevon runs in your own browser with your existing login session, agents browse LinkedIn, Sales Navigator, and any other tool you are logged into, exactly as you would. No datacenter IPs, no rate-limit workarounds.
All data stays on your machine. Drevon does not upload prospect lists, CRM exports, or agent outputs to any cloud server. It runs entirely locally, which means no third-party storage, no compliance risk, and no data leakage.
Yes. Drevon supports parallel agent execution. You can run 10 agents simultaneously, each with its own browser context, memory, and instructions. Each agent works independently and saves its output to your local filesystem.
Every row Drevon hands back carries the thing that put it on the list: the Reddit thread and the quote, the LinkedIn post and the date, the funding announcement and the roles opened after it. You can click through to the source. That is the difference between a list of people who match your ICP on paper and a list of people who are looking right now.
Based on our user interviews: 15–20 genuinely personalized LinkedIn reach-outs is a full day of research for a rep with 8–10 years of experience. Drevon researches the same batch in 15–30 minutes, reading profiles, posts, podcasts, funding history, and company background, citing the source for every claim so you can verify before you send.
Two ways in. Any tool that publishes an MCP server connects in Settings, which covers the stack most GTM teams run: crms (HubSpot, Salesforce, Pipedrive, Attio, Zoho CRM), enrichment (Clay, Apollo, Breeze (Clearbit), People Data Labs), outreach (Instantly, Smartlead, Lemlist, Outreach, Salesloft), analytics (PostHog, Amplitude, Google Analytics 4, Mixpanel), workspace & export (Notion, Slack, Google Sheets). Everything else takes the second route, the structured files (CSV, JSON, Markdown) every run writes to your filesystem.
Your next 20 reach-outs, researched by lunch. Every claim with a receipt.
No account. No credit card. No new AI bill.