Series A
|
identification
$15m+
closed over, across prior rounds
David Simonarson
Founder/CEO
Smitten is building a gamified dating app for Generation Z, centered on getting customers into better conversations through an exciting product experience. Founder/CEO David Simonarson had already built several consumer businesses and closed over $15M+ across prior rounds, including a large Series A, and came to Metal to raise the company's next round with investors who genuinely understood the space.
The Bottleneck
Dating apps are a strange category at Series A: the underlying business model heavy upfront capital investment chasing network effects is well understood in the abstract by generalist consumer investors, but genuinely understanding how that dynamic plays out specifically in online dating is much rarer. David's problem wasn't investor interest; strong retention and scale metrics had already generated significant inbound. The problem was that at Series A, with real capital and real conviction required, the gap between an investor who understands consumer network effects generally and one who understands dating-app network effects specifically produces two very different kinds of investor meetings and there was no way to tell which kind he was walking into without doing the diligence himself, historically through word of mouth and general industry knowledge alone.
Inside the Raise
David used Investor Patterns to replace word-of-mouth sourcing with a systematic search for investors who'd actually made comparable bets:
Similar Company Definition
rather than searching narrowly for "dating app investors," David's team wrote out specific descriptions of what actually made an investment comparable to Smitten: any consumer business with a meaningful interplay between upfront capital investment and network effects, not dating specifically. This distinction matters at Series A because a category as narrow as dating apps has too few precedent deals to search on directly widening the comparable set to the underlying mechanic (capital-intensive network effects) surfaced a workable pool an app-specific search never would have
Saved Lists and Underlying Investors
The team built and saved lists of these similar companies, then loaded them into Metal to view their investors directly. At Series A, where the round size and diligence stakes are high enough that David couldn't afford to re-derive his own definition of "the right kind of investor" from memory in every conversation, having it saved as a concrete, named list meant the standard stayed consistent across a full round's worth of meetings rather than drifting call to call.
Deployment Pace, Stage/Sector Spread, and Lead/Follow Inclination by Stage
Viewing an investor's capital deployment pace, how their investments spread across stages and sectors, and their lead-versus-follow inclination broken out specifically by stage let Shraysi tell, before ever getting on a call, whether a given investor's Pre-Seed behavior actually matched their overall reputatio, since an investor's general lead rate can look strong while their Pre-Seed-specific rate tells a very different story
Layered Granular Filters
Refining that base list with additional filters let David move from "invests in capital-intensive network-effect businesses" down to the subset most likely to actually lead a Series A round. This mattered more here than at Seed or Pre-Seed: a Series A check is large enough that thematic alignment alone doesn't confirm a fund can write it, so narrowing toward a demonstrated Series A lead pattern was necessary to avoid pursuing a well-aligned fund that couldn't deploy at this round's size.
These are just a few of the capabilities David used. The same Investor Patterns search today also surfaces Content Signals, useful for confirming which of these thematically-aligned investors are actively writing or speaking about dating/social apps specifically right now, not just historically active in network-effect businesses generally, and at Series A, this workflow sits alongside Round Coach and Pipeline Formation as part of the broader toolkit available for a round at this scale.
"In the world of online dating, investors that understand the space tend to have very different types of questions (relative to those that are new to the space). We used Metal to build a hyper-focused raise strategy, bringing adequate focus toward investors that we knew had done similar investments before."
— David Simonarson, Founder & CEO, Smitten
The Impact
At Series A, the cost of an unfocused raise strategy isn't just wasted time, it's diligence cycles spent with investors who were never going to develop real conviction in dating-app-specific network effects, no matter how well the meeting went. Precision around this specific investor profile let David considerably cut down time spent on research and administrative fundraising work, redirecting it toward refining his round narrative, building relationships, and simply having more of the conversations that mattered. Smitten's team also saw a much lower rate of "unnecessary meetings", the specific Series A pattern where a second call reveals a fund simply isn't positioned to make the kind of investment the round actually requires, a failure mode that costs more at this stage than earlier ones, since Series A diligence cycles run longer before that mismatch becomes obvious.
Executive Summary
In dating apps specifically, general network-effects fluency isn't the same as category fluency.
Investors who understand consumer network effects broadly ask very different questions than ones who've actually underwritten dating-app dynamics, David needed to search for the latter, not the former.
At Series A, a category too narrow to search directly needs a broader comparable set.
Defining "similar" by the underlying mechanic (capital-intensive network effects) rather than by "dating app" specifically surfaced a workable investor pool a narrower search would have missed.
Unnecessary meetings cost more at Series A than at earlier stages.
Realizing on a second call that a fund isn't positioned for the round's capital requirements wastes a longer diligence cycle at this stage than the same mismatch would at Seed or Pre-Seed.
