The problem this solves
The best SMB lists are narrow on purpose: a specific tool in the stack, a specific city, a specific moment of growth. Building one by hand means cross-referencing a technology-lookup tool, a job-board search, and a contact database, then reconciling three exports that disagree about company names and domains. Most teams get forty rows in and quietly settle for a broader, weaker list because the narrow one costs an afternoon they need for actual selling.
The moment matters as much as the fit. An SMB in your target city running Mixpanel is a fine account on paper; the same company actively hiring is an account with budget in motion and new people who will shape the stack. Hiring signals decay in weeks, so a list assembled slowly is stale by the time the first email goes out. Manual research pipelines are simply too slow to catch companies inside the window when they are easiest to start a conversation with.
Then there is the last mile. Even a good list dies in a spreadsheet if nobody keys it into the CRM with clean properties and deduplicated companies. Reps skip messy imports, and messy imports create duplicate records that someone has to clean up next quarter. The work stays undone because every stage belongs to a different tool and a different person, and no single owner can justify the stitching time.
How the mission runs
- Scope the segment with Technographics. The agent starts from your definition - SMB companies in your chosen city with Mixpanel detected on their web properties - and pulls the candidate universe through the Technographics tool. It filters to companies that genuinely match the size band and metro, discarding lookups where the tech detection is ambiguous, so the list starts precise instead of needing cleanup later.
- Confirm hiring momentum with Hiring Data. Each candidate is checked against Hiring Data for open roles posted recently. Companies with no active postings drop out; companies hiring across multiple functions rank higher. This is the signal that separates a static tech-stack list from a list of businesses that are visibly growing right now and likely to have budget conversations underway.
- Identify decision-makers with Email Finder. For the roughly 100 companies that survive both filters, the agent uses Email Finder to locate the right decision-maker - typically the founder, head of growth, or product lead at SMB scale - and captures their name, title, and work email alongside the company record.
- Verify every address before it counts. Email Verification runs on every found address. Contacts that verify as deliverable are kept; risky and undeliverable addresses are flagged rather than silently included, so the list you get is one you can actually send to without torching your domain reputation on day one.
- Stage the records into HubSpot. The agent writes companies and contacts into HubSpot with the signal context - the detected tool, the hiring evidence, the verification status - stored on the records. CRM writes are gated, so you review what is about to land before it does, and existing records are matched instead of duplicated.
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
Around 100 SMBs in your target city running Mixpanel and actively hiring, each with a named decision-maker and a verified work email, created as companies and contacts in HubSpot. Every record carries the evidence that put it on the list, so a rep opening the contact sees exactly why this account and why now. The import is deduplicated against your existing database and staged for your approval before anything is written.
Make it yours
- Swap the city: run the same mission for Austin, Raleigh, or any metro where you have a local story, keeping the Mixpanel-plus-hiring filter intact.
- Change the anchor technology to whatever your product complements or replaces, and let Hiring Data keep doing the timing work.
- Route the output to a Google Sheet first for a manual pass, then re-run with the HubSpot write enabled once you trust the shape of the list.
Frequently asked questions
How fresh are the hiring signals?
Hiring Data reflects recently posted roles, and the mission runs on demand, so the list captures companies hiring at the moment you launch it. Because postings churn quickly, the practical pattern is to re-run the mission on a cadence and let the agent surface only the new entrants each time.
Will this create duplicate records in HubSpot?
The agent matches on domain and email before writing, updating existing records instead of creating twins. The write itself is staged for your review, so you see the proposed creates and updates as a batch and approve them before HubSpot changes at all.
What happens to emails that fail verification?
They stay out of the send-ready set. The agent reports them separately with the verification result, so you can decide whether to hunt an alternate contact at that company or drop the account for now. Nothing unverified is presented as outreach-ready, and your bounce risk is settled before the first send goes out.