seed
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Identification
$5m+
Raised from venture investors
Projjal Ghatak
Founder/CEO
OnLoop is AI-enabled team performance software that helps organizations turn every manager into a great manager. Founder/CEO Projjal Ghatak had previously raised $5M+ from a diverse group of venture investors, and came back to Metal mid-round, a position increasingly common for Seed AI/SaaS companies whose product traction outpaces their own fundraising calendar: not looking for a lead, but for the right capital to fill out a round that was already mostly there.
The Bottleneck
Seed-stage AI/SaaS is a category most investors now say they want exposure to, which creates a specific, counterintuitive problem: too much inbound, not too little. OnLoop's paid user count had grown substantially, and that growth pulled in significant inbound interest, often via the customers OnLoop serves. That's a Seed-AI/SaaS-specific dynamic: in a less crowded category, or at a stage where investor attention is scarcer, inbound volume like this would be an unambiguous asset. Here it was a filtering problem. A round that's nearly fully subscribed doesn't need more generalist AI/SaaS interest, it needs investors who write the right-sized checks, at exactly the right moment, in a category where "interested" and "closing" are two very different things.
Inside the Raise
Working in Investor Patterns in Metal, Projjal ran two distinct searches, each solving a problem specific to raising follow-on capital at Seed in a hot category:
Follow-On Investors
Filtered for a fund size under $50M, since firms at that size are structurally built to write the smaller checks a nearly-full Seed round has room for, unlike larger funds sized for bigger allocations. He layered on fund recency and a high 3-month deal count to separate funds that are actually active from ones that are inbound-heavy but slow to close, a distinction that matters more in AI/SaaS right now than in a less crowded category, precisely because so many funds claim interest without deploying into it.
Lead Candidates
For the remaining open portion of the round, filtered for investors who had led more than a configurable X% of their prior investments. At Seed, where a round's structure can shift week to week as it fills, this filter let Projjal keep a live shortlist of who could anchor the remaining allocation if needed, a different question from who could write a small follow-on check, and one that matters specifically because AI/SaaS Seed rounds move fast enough that "still need a lead" can change within the same raise.
These are just a few of the filters Projjal used. The same Investor Patterns search today also surfaces Content Signals, which investors are actively writing or speaking about AI/SaaS and team-performance software specifically, useful in a category where public enthusiasm often runs ahead of real capital deployed and, once a shortlist is qualified, Building Access maps it against Projjal's own Gmail and LinkedIn to surface who can make each introduction directly.
The Impact
For a Seed AI/SaaS founder fielding more inbound than a subscribed round can absorb, the constraint isn't finding investors, it's not wasting scarce founder time on the wrong ones. Filtering by fund size, recency, activity, and lead-inclination let Projjal convert an oversized, low-signal inbound pool into a short, actionable list matched to the specific capital gap left in the round, freeing up time to run a fast-growing business rather than manually researching which of dozens of inbound AI/SaaS investors were actually worth a call.
"We rely on Metal as our operating system for fundraising, during and in-between rounds. The granularity of Metal's filters and investor intelligence features enable high-precision targeting. The platform allows us to identify very specific types of investors. The ability to connect Gmail and LinkedIn to immediately see intro pathways and connected portfolio founders is a game-changer."
— Projjal Ghatak, Founder & CEO, OnLoop
Executive Summary
In a hot Seed category, too much inbound is its own targeting problem. AI/SaaS at Seed draws generalist interest that doesn't match what a nearly-subscribed round actually needs the job is elimination, not discovery.
A subscribed AI/SaaS round needs a capital-gap match, not just stage fit. A sub-$50M fund size, paired with recency and 3-month deal count, isolated investors sized and active enough to fill the specific follow-on gap OnLoop had left, generic "Seed investor" fit wasn't precise enough.
Fast-moving AI/SaaS rounds need lead and follow-on searches run in parallel, not sequentially. Because the remaining structure of a Seed round in this category can shift week to week, Projjal kept both searches live at once rather than solving for a lead first and follow-on second.
