# Building a Targeted LP List for a First-Fund Raise

*You will convert a fund thesis into a tiered list of named, mandate-matched LP prospects with fit evidence and warm-intro paths, sized to first-close pipeline math.*

- Canonical URL: https://www.refolk.ai/guides/targeted-lp-list-first-fund
- Pillar: Investing and deal sourcing
- Format: Playbook
- Published: 2026-08-27
- Last reviewed: 2026-08-27
- Reading time: 18 min

You are raising your first fund and need to turn a thesis into a ranked, tiered list of the limited partners actually likely to back an emerging manager at your size. This guide is for first-time GPs, plus the platform and talent partners and angels who help them build a raise. It gives the source-by-source procedure: which LP types are realistic, which public filings reveal a mandate, how to qualify each name against documented fit, how to map a warm path, and how to tier the whole thing against the pipeline math a first close requires.

Most pages that rank for this stop at "match on thesis, stage, and check size" and then funnel you toward a paid LP database or a placement agent. That advice is not wrong, it is just incomplete: it never shows you how to find and qualify the names. What follows is the version you can execute start to finish from public signals.

## Which LPs actually back a first-time manager?

For a sub-$50M Fund I the realistic base is family offices, HNW operator angels, emerging-manager funds of funds, and selectively foundations and program-gated public pensions. Institutional allocators rarely write below $5M and prefer proven managers, so most of them are Fund II or III targets, not Fund I.

Family offices are the primary source, cited at 40-60% of emerging-manager capital for sub-$75M funds. Single-family offices allocate on average about 22% of their portfolio to private equity and venture, higher than the roughly 10-15% for public pensions and 15-20% for endowments. Foundations offer perpetual horizons and predictable payouts near 5%, which makes them reliable but slow to move.

The table below is the map of who writes what, and how open each type is to a first fund.

| LP type | Typical check | PE/VC allocation | First-fund appetite |
|---|---|---|---|
| Single-family office | $500k-$5M | ~22% of portfolio | High, flexible |
| HNW / operator angel | <$150k common | n/a | High, relationship-led |
| Emerging-manager FoF | varies | dedicated budget | High (by design) |
| Foundation (990-PF) | institutional | alternatives sleeve | Selective, slow |
| Public pension EM program | $5M+ | ~10-15% | Program-gated |

Before you build the list, internalize the check-size distribution, because it dictates the shape of everything downstream. Across 900-plus VC Lab-launched funds, roughly 75% of commitments come in under $150k. The median check is small and relationship-driven, not a $1M family-office anchor.

**75% - Share of LP commitments under $150k, VC Lab-launched funds**

A first close is built from many small checks, so pipeline width beats anchor-hunting.

> **Watch out:** The vanity-anchor myth
>
> Assuming one large family-office anchor will close the fund is the most common structural error. With about 75% of checks under $150k, you must size the pipeline for many small commitments, not one big one.

## What public sources reveal an LP's venture mandate?

The strongest LP signals are free and public: SEC filings expose actual private-fund commitments, and IRS filings expose foundation alternatives holdings. Disclosed behavior beats any title or headcount data, because it tells you what an allocator has actually done, not what a database guesses about them.

Start with Form ADV, the disclosure that registered investment advisers file. It has been public on the SEC's IAPD site since September 2001. Item 7.B and Schedule D disclose an adviser's private-fund relationships, which is where funds of funds and multi-family offices reveal what they back. Exempt reporting advisers file only a limited subset (Items 1, 2, 3, 6, 7, 10, and 11), so expect thinner records from smaller shops. Bulk ADV data files are downloadable directly from the SEC if you want to work at scale rather than one lookup at a time.

Form D, the private-placement notice on EDGAR, carries file numbers that link an adviser to specific funds, so you can walk from a fund to the people who run it and back again. For foundations, Form 990-PF Part II classifies investment assets into six groups, including an "other investment assets" bucket that captures alternatives, with detail required in lines 10a-c. Note the limit: comparable university-endowment IRS data has only been required since 2009, so it is thin before then.

| Source | What it reveals | Access |
|---|---|---|
| Form ADV Item 7.B | Adviser's private-fund relationships | adviserinfo.sec.gov (free) |
| Form D | Fund-to-adviser file linkage | SEC EDGAR (free) |
| Form 990-PF Part II | Foundation alternatives holdings | IRS/990 databases (free) |
| Pension EM program docs | Program size, fund-size band, mandate | Allocator sites/press |

For public pensions, the mandate is often published outright. Program documents state fund-size bands and allocation. HarbourVest's emerging-manager program targets funds of $100-400M; TRS Illinois backs $50-250M funds with $200-300M allocated. Those bands tell you instantly whether you are in scope before you spend a minute on outreach.

#### LP discovery, from broadest signal to narrowest proof

1. **Regulatory filings** - Form ADV Item 7.B and Form D expose private-fund relationships and fund-to-adviser links
2. **Tax filings** - Form 990-PF Part II exposes a foundation's alternatives sleeve
3. **Program documents** - Pension emerging-manager mandates publish fund-size bands and allocation
4. **Portfolio and press** - Named commitments and dated announcements corroborate a stale filing

*Work from a disclosed venture signal down to a mandate you can quote back to the LP.*

## Why title search fails and disclosed behavior wins

LP decision-makers are barely captured by job title, so building a list off titles will miss most of the people who write checks. Source by disclosed commitments and portfolio, not by who calls themselves a Chief Investment Officer.

The evidence is direct. In Refolk's index of professional profiles, a title search for family-office "Chief Investment Officer / Head of Investments" carrying a venture keyword returns only 7 US profiles and 0 in the UK. The same search for "Head of Platform / Investor Relations / LP Relations / Capital Formation" at VC and PE funds returns zero. Allocators are under-titled and many prefer anonymity, so a title index simply does not hold them.

**7 - US family-office investment-title profiles with a venture keyword in Refolk's index**

The UK count is zero, and LP-relations titles at funds also return zero, so title search is the wrong lens.

This is why the procedure below leads with filings and portfolio disclosures, then reaches for people search only to find the human attached to an already-disclosed commitment. Once you have a fund or a family office that has demonstrably backed venture, you need the person and a path to them. That is where a query in plain English is faster than a title filter, because it can lean on behavior and relationships rather than a job label.

I ran this search: `Single family offices in New York and London that have made LP commitments to first-time venture funds.` - [see the full result list](https://www.refolk.ai/s/d78cp65k50).

*Returns family offices with a disclosed first-fund commitment signal, so you can qualify by behavior rather than by an under-populated title index.*

[Refolk](/) is useful here precisely because the filings tell you which entities to chase but not always who to reach or how; asking in plain English closes that gap without forcing you to guess at titles that mostly do not exist in the data.

## The five fit dimensions and how to verify each

The consistently named fit dimensions are check size, stage, sector, geography, and emerging-manager appetite. Each must be verified against a public artifact, not assumed, and each has a way it lies.

- **Check size.** Verify against disclosed prior commitment sizes in ADV, 990-PF, or press releases. It lies when a headline check was a one-off program allocation rather than a repeatable balance-sheet position.
- **Stage.** Verify against the LP's existing portfolio pages and prior fund positions. It lies when an LP's public logos skew late but its emerging-manager sleeve is early; read the sleeve, not the flagship.
- **Sector.** Verify against the same portfolio evidence. It lies when a broad allocator lists everything, which tells you nothing about the gap you fill.
- **Geography.** Verify against the office and program location. It lies when a fund of funds is US-domiciled but mandates a regional program elsewhere.
- **Emerging-manager appetite.** Verify against whether the LP runs a dedicated program or has previously backed a Fund I-III. It lies when "open to emerging managers" hides an unstated multi-vintage track-record floor.

> **Rule:** One citation per qualified name
>
> A name is not qualified until it carries at least one dated public artifact proving fit on at least one dimension. No artifact, no Tier 1. This is the difference between a target list and a wish list.

Appetite is the dimension most worth over-verifying. A program check can expire and cannot follow on at Fund II, so a smaller balance-sheet LP who has scaled with ten managers can be worth more than a larger mandate-constrained one. When in doubt, establish whether a commitment is program-specific or comes off the balance sheet.

## The pipeline math for a first close

A first close typically captures 10-25% of target fund size, and reaching it is a volume-and-conversion problem. Published funnels agree on the shape and disagree on the exact ratios, so carry two models and re-forecast off your own numbers once outreach starts.

Here are three published models side by side. The contact-to-commit rates in the first two rows are derived from the stated inputs, so treat them as bounds, not gospel.

| Source | Raw/qualified targets | First meetings | Commitments | Implied contact->commit |
|---|---|---|---|---|
| Altss framework | 300 qualified | 60 calls | 3 | ~1% (derived) |
| PipelineRoad | 200-500 / 100-200 | 30-60 | 8-20 | ~4-10% (derived) |
| Angel Investors Network | 300+ | n/a | ~50 | 10-17% (stated) |

The spread between roughly 1% and 10-17% is enormous, and it is driven almost entirely by warm-path density. Warm intros convert at about 3-5x cold, and conference-to-second-meeting runs 35-45% warm against 15-25% cold. A list that is mostly cold will land near the bottom of that range; a list where every Tier 1 name has a named connector will land near the top.

#### One published first-close funnel

| Stage | Figure | Note |
| --- | --- | --- |
| Qualified targets | 300 | after fit screen |
| Meaningful responses | 150 | ~50% |
| Intro calls | 60 | ~40% of responses |
| In diligence | 15 | ~25% of calls |
| Commitments | 3 | ~20% of diligence |

*The Altss model implies roughly 1% contact-to-commit, so plan for many more targets than commitments.*

Two timing facts help you plan the calendar. VC Lab's Start Fund program reports a 64-day average time to first close, and first-time funds commonly close $15-40M after 12-18 months, with a final close 6-12 months after the first. The raise is long; the list has to survive it.

> Pipeline width beats anchor-hunting when three of every four checks land under $150k.

## The build procedure, step by step

Run these seven steps in order. The first two are GP judgment and take a few days; the middle three are the research core and take two to three weeks; the last two run for the length of the raise.

#### From thesis to a tiered, sourced LP list

1. **Codify the thesis into filters** - Fix stage, geography, sector, average check, and fund size, then write each as a testable filter. Done when you have a one-page ideal-LP profile with five criteria specific enough that an LP could name the gap you fill.
2. **Set target math backward from first close** - Choose a first-close size at 10-25% of target, pick a funnel model, and derive the required target count. Carry two models because published ratios disagree.
3. **Build the raw universe from public signals** - Pull Form ADV Item 7.B, Form D, 990-PF Part II, published pension program parameters, and firm portfolio pages. Done when you have 200-500 named entities, each with a disclosed venture signal.
4. **Qualify against the five fit filters** - Score each name on check size, stage, sector, geography, and emerging-manager appetite, each verified against a public artifact. Done when you have 100-200 qualified names, each with one documented fit citation.
5. **Map warm-intro paths** - For each qualified LP identify a first or second-degree connector such as existing investors, attorney, accountant, advisory board, or wealth advisor. Done when every Tier 1 and Tier 2 name is tagged with a named path or marked cold.
6. **Tier and sequence** - Sort names into hot, warm, and nurture, then sequence outreach from the warmest network outward. Done when you have a three-tier pipeline with stage labels.
7. **Run cadence and track conversion** - Hold a weekly funnel review, send monthly updates to all engaged prospects, and follow up within 48 hours of events. Done when response, meeting, and diligence-to-close rates are tracked in a CRM.

A note on sequencing sources within step 3. Start with the emerging-manager funds of funds and pension programs because their mandates are published and their fit is verifiable in minutes. Then work family offices and foundations, where the signal is real but slower to read. Named starting points exist: public lists of emerging-manager programs and 990-PF-sourced foundation rosters give you a seed set to expand from rather than a blank page.

On step 5, the warm-path map: this is the highest-leverage move in the entire build. Because warm intros convert at 3-5x cold and cut cycle time by half or more, an hour spent finding a connector for a Tier 1 name moves the funnel more than an hour spent rewriting your deck. Do not treat referrals as your base, though. They typically round out only 20-30% of an LP base and arrive late, so do not model the raise on intros you do not yet hold.

**LP row schema for your tracker**

```
Entity | Type (SFO/angel/FoF/foundation/pension) | Disclosed venture signal (ADV / Form D / 990-PF / program doc / portfolio) | Fit citation (source + date) | Check band | Stage/sector/geo match (Y/N/N) | Emerging-manager appetite (program / balance-sheet / unverified) | Warm path (named connector or COLD) | Tier (hot/warm/nurture) | Stage (identified->contacted->engaged->interested->diligence->IC-ready->committed->closed) | Last touch date
```

*One row per name. Fill the fit-citation and path columns before a name earns a tier.*

## Tiering and cadence for the length of the raise

Treat outreach as pipeline architecture, not a sprint. Sort qualified names into three tiers driven mainly by warm-path strength, sequence from warmest outward, and run a systematic cadence across a 6-18 month raise.

The tiering decision is a two-variable judgement: how strong is the fit evidence, and how warm is the path. The matrix below tells you what to do in each case.

#### Tiering LPs by fit evidence and path warmth

Horizontal axis runs from Cold path to Warm path. Vertical axis runs from Weak fit evidence to Strong fit evidence.

| Quadrant | What it means |
| --- | --- |
| Strong fit, cold path | Tier 2. Invest in finding a connector before you send anything. |
| Strong fit, warm path | Tier 1. Lead with these; request intros now. |
| Weak fit, cold path | Nurture or drop. Do not spend outreach here. |
| Weak fit, warm path | Tier 3. Keep warm via updates; re-qualify as evidence appears. |

*Warm path plus documented fit is Tier 1; strong fit but cold is a warm-path project before it is outreach.*

Track every name through explicit stages: identified, contacted, engaged, interested, diligence, IC-ready, committed, closed. Review the funnel weekly and watch conversion rates, not touch count. This matters because pitching volume alone did not separate closed funds from struggling ones; what separated them was prior angel track record, 6-10 investments against 3-5. A large "contacted" number with no conversion is a warning sign, not progress.

Two cadence habits pay for themselves. First, add bottom-of-funnel LPs to a monthly investor update before they commit; inclusion builds momentum and keeps you top of mind through a long raise. Second, hold your "not now" names for Fund II, because many Fund I no's become Fund II yes's once you have a track record. Neither costs much, and both compound.

> **Tip:** Sequence from your own network outward
>
> Run outreach from highest-probability warm connections to progressively colder channels. Exhaust the 3-5x warm conversion before you spend cycles on cold, and only fall back to cold once a Tier 1 name has no findable path.

## How this goes wrong: failure modes and false positives

The most valuable part of this standard is the list of ways it breaks. Each failure mode below comes with the check that catches it.

- **Chasing institutions too early.** An allocator "open to emerging managers" may carry an unstated 3-vintage track-record floor. Check: confirm a prior Fund I-III commitment in ADV or press before spending time.
- **Confusing appetite with capacity.** A program check can expire and cannot follow on at Fund II. Check: establish whether the commitment is program-specific or comes off the balance sheet.
- **Title-search sourcing.** LP decision-makers are poorly captured by title, with only 7 US and 0 UK profiles for the obvious titles in Refolk's index. Check: source by disclosed commitments and portfolio, not job titles.
- **Over-broad thesis.** Generalist positioning reads as indecision and lowers response. Check: can an LP name the single portfolio gap you fill? If not, the thesis is too broad.
- **Mistaking volume for progress.** Pitching volume alone did not separate closed from struggling funds. Check: track response, meeting, and diligence rates weekly, not the contacted count.
- **Treating referrals as the base.** Referrals typically round out only 20-30% of an LP base and arrive late. Check: do not model the raise on intros you do not yet have.
- **Filing staleness.** ADV and 990-PF filings lag 12-18 months, and endowment IRS data is thin before 2009. Check: corroborate every filing signal with a dated press release or a portfolio page.
- **The vanity-anchor myth.** Assuming one large anchor closes the fund ignores that about 75% of checks are sub-$150k. Check: size the pipeline for many small commitments.

The staleness point deserves emphasis because it produces confident false positives. A commitment shown in a filing from over a year ago may have wound down, and a foundation's alternatives sleeve may have rebalanced. A single dated corroboration, a press release or an updated portfolio page, is the cheapest insurance you can buy against pitching a mandate that no longer exists.

## Verify before you call the list done

Before you treat the list as ready for outreach, run this checklist. It is the difference between a list you can work and a list that quietly wastes months.

#### List-readiness checklist

- [ ] The ideal-LP profile is one page with five testable fit filters written down.
- [ ] Two funnel models are on record, and the required-targets number is derived from both.
- [ ] The raw universe has 200-500 named entities, each with a disclosed venture signal.
- [ ] Every qualified name carries at least one dated public-artifact fit citation.
- [ ] Each LP's emerging-manager appetite is labeled program, balance-sheet, or unverified.
- [ ] Every Tier 1 and Tier 2 name has a named warm-intro path or is explicitly marked cold.
- [ ] Names are sorted into hot, warm, and nurture, sequenced warmest-outward.
- [ ] Each name carries a pipeline stage from identified through closed.
- [ ] A weekly funnel review and monthly-update cadence are scheduled for the length of the raise.
- [ ] Every filing-based signal is corroborated by a dated press release or portfolio page.

## Keeping the list current through the raise

A LP list is a living asset over a 6-18 month raise, not a one-time deliverable, so build a light refresh loop and run it weekly. The goal is to keep fit evidence fresh, keep warm paths accurate, and move names through stages without letting the raw count fool you into thinking you are progressing.

Each week, do three things. Re-check any filing-based signal that is about to inform an ask, because filings lag and a stale mandate is worse than no mandate. Re-map warm paths as your network grows, since a cold Tier 2 name can become a warm Tier 1 name the moment a mutual connection appears. And re-forecast the funnel off your own observed response and meeting rates rather than the published models, which were only ever starting estimates. When you hit a first close at 10-25% of target, the same list carries you toward the final close 6-12 months later, and the "not now" names roll forward to Fund II. That is the payoff of building from disclosed behavior rather than titles: the evidence trail is durable, and the next raise starts from a warm, qualified base instead of a blank page.

## Frequently asked questions

### Which LPs actually back first-time managers?

For a sub-$50M Fund I the realistic base is single-family offices, HNW operator angels, emerging-manager funds of funds, and selectively foundations and program-gated public pensions. Family offices are cited as 40-60% of emerging-manager capital for sub-$75M funds. Institutional allocators rarely write below $5M and prefer proven managers, so treat them as Fund II targets unless a dedicated emerging-manager program exists.

### How many LPs do I need to contact to close a first fund?

Published funnels disagree. One model runs 300 qualified targets to 3 commitments (about 1%); another puts a mid-sized fund at 200-500 sourced, 100-200 qualified, and 8-20 commitments; a third states 300-plus contacts yielding roughly 50 commitments at 10-17%. Carry two models, size for many small checks, and re-forecast off your own observed response and meeting rates once outreach begins.

### How do I find limited partners from public filings?

Start with SEC Form ADV Item 7.B on adviserinfo.sec.gov, which discloses an adviser's private-fund relationships, and Form D on EDGAR to link funds to advisers. For foundations, read Form 990-PF Part II for the alternatives sleeve. For public pensions, read published emerging-manager program documents for fund-size bands and mandate. All are free.

### Why not just search LinkedIn for LP titles?

Because LP decision-makers are barely captured by title. In Refolk's index, the obvious family-office investment titles return only 7 US and 0 UK profiles, and platform or LP-relations titles at funds return zero. Allocators are under-titled and prefer anonymity, so disclosed commitments in filings are a far stronger signal than headcount or title data.

### How do I tier LP prospects?

Sort qualified names into hot leads, warm prospects, and long-term nurture, driven mainly by warm-path strength since warm intros convert at roughly 3-5x cold. Sequence outreach from the warmest network outward to progressively colder channels. Add bottom-of-funnel LPs to monthly investor updates before commitment, and hold 'not now' LPs for Fund II.

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*From the Refolk guide library. I revise these guides rather than replacing them, so the current version is always at https://www.refolk.ai/guides/targeted-lp-list-first-fund*