Tracking the non-linear career path

Harmonic lets Kindred follow careers that don’t move in straight lines. Each pattern is a niche pool of candidates: the engineer who moved to product six months ago, the founder who became a marketer, the operator who’s owned both product and marketing over the last three years. Harmonic’s people data makes those pools searchable by stage, function, and background rather than by job title alone, so a former founder, a cross-functional operator, or someone who’s moved into stealth shows up where older tools surfaced nothing. Tracking talent stage by stage also sharpens a judgment the firm lives on: who builds well at seed, who runs better at scale, and which person best fits the moment a company is in.

Will thinks these unconventional paths are undervalued by the people who walk them and increasingly prized by the founders doing the hiring. “People often feel self-conscious about a non-linear path,” he says. “We read it the other way: it’s rewarded here, and founders have a preference for it more and more.”

Finding those people is half the job. Convincing a founder to bet on a résumé that doesn’t read in a straight line is the other half, but founders understand that Kindred has a vested interest in their success… they’re not a transaction-based firm.

‍

Full coverage, no margin for error

Years ago, when he was an early Kindred employee, Will and a colleague sent an unsolicited note to a senior executive at LinkedIn, arguing that the company should either acquire Crunchbase or partner with it. The data he wanted didn’t exist in one place. “But with Harmonic, now it does,” he says. What he’d hoped LinkedIn would build, company and people data fused into one queryable layer, is the tool he now opens every morning. He can see talent by stage and function, and uncover the founding PM of a late-stage company in a click. 

Will and his fellow Kindred colleagues are meticulous by temperament. He has a more technical bent than most in his field, and the job leaves no margin for error. “We can't miss people in the market,” he explains; “We need full coverage.” That requirement separates Harmonic from the alternatives he’s tried. LinkedIn lacks the company detail he needs, and the ability to slice by stage and function. Even a heavily filtered LinkedIn workflow takes far longer than Harmonic to reach the same coverage. “Tools like Juicebox lean on an algorithm to sift huge volumes, which works when you win by finding many good enough candidates," Will explains. "Our job is the inverse: we win by finding the one, perfect candidate." 

‍

Harmonic as the system of record

Before Harmonic, Kindred built target-company lists from scratch and kept them spread across Google Sheets. Now those lists live in one place, auto-updating as people change jobs and companies move. "The platform has become our central database and our system of record for people as well as companies,” Will says. Usage runs across the firm, at varying depths. Harmonic’s Lists hold the companies and candidates the team tracks; Scout lets Kindred surface key profiles with natural language instead of opening sixty profiles by hand; continuous alerts tell him when a candidate leaves or gets promoted, so the updates reach him instead of waiting for him to search.

Two of Harmonic’s newer capabilities have sped up the work before every conversation. Through Harmonic’s MCP server, which lets tools like Claude query company and people data in plain language, Will pulls a candidate’s join date, and the company’s stage and investors at the moment they joined, straight into the notes he drafts in Claude. “I have to have it for every candidate, and it’s not worth my time asking them when I can pull it quickly,” he says. Scout, Harmonic’s AI research agent, handles the conversational work: Will asks it who the founding PM or first Eng leaders were at a set of companies, or which candidates it would recommend, and gets tiered lists across verticals in return. The first time he used it to build a list of founding product leaders, the result landed in about a minute. “This would’ve taken me hours,” he says.

Will keeps the Chrome extension open all day and browses at a volume that used to crash LinkedIn. Now he pours through thousands of profiles without the tool slowing down. “That’s our film,” he says, using a sports analogy. “That’s how we refine our knowledge on the market and the people in it, every single day.”

‍

The leaders other searches miss

Kindred’s whole proposition is precision: few searches, each one run deep, with everyone in the market accounted for. Harmonic lets a twenty-person firm hold that standard across a fast market.

The same coverage opens work beyond filling a single role. Kindred uses Harmonic to spot which firms to pitch for search work, and to run full talent-market studies for clients: when a venture-backed company wants to know who else is out there across a set of functions, the firm maps the field in the platform. 

The non-linear leaders Kindred hunts (the founder-turned-marketer, the engineer who just moved into product, the operator still in stealth) tend to be the ones other searches miss. Finding them first is the work. Harmonic is how Kindred gets there.