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2026 Comparison

Best LP Databases: How to Find Limited Partners for Your Fund

Finding LPs is the #1 pain point for emerging fund managers. Most LP databases cost $10K-40K/year. Here is what they offer, what they cost, and which ones are worth it at every budget level.

Quick Answer

For most emerging managers raising Fund I ($10-30M), start with Cobalt LP (~$3K/yr for family offices) and VC Beast (free for VC ecosystem data). Upgrade to Bison.co (~$5K/yr) if you need broader institutional LP coverage. PitchBook ($24K+/yr) is the gold standard but only justified for funds raising $50M+ from institutional LPs.

Key Takeaways

  • 1.PitchBook ($24K+/yr) covers 35,000+ LPs and is the institutional standard — but prohibitive for most Fund I managers
  • 2.Cobalt LP (~$3K/yr) focuses on family offices — the LP type most likely to invest in a first-time fund
  • 3.Dakota Marketplace uniquely shows real-time LP mandates — which allocators are actively looking to invest right now
  • 4.Plan to contact 200-400 LPs to close 15-30 commitments (5-8% conversion rate for Fund I)
  • 5.Free LP intelligence exists: SEC EDGAR filings, public pension reports, LinkedIn, and VC Beast's firm directory

PitchBook

Gold Standard
$24,000-40,000+/yr

Best for: The most comprehensive LP database with fund performance data and allocation tracking

35,000+ LP profiles globally
Fund commitment history
Allocation targets by strategy
Contact information for investment staff
Fund performance benchmarks (TVPI, DPI, IRR)
Custom screening and alert tools

Limitations: Prohibitively expensive for emerging managers raising Fund I; annual contract with limited flexibility; some LP contact data is outdated

Verdict: The gold standard for LP intelligence. If you can afford it, PitchBook gives you the most complete picture of who invests in what, how much they allocate, and who to contact.

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PitchBook's LP database is the undisputed market leader, covering over 35,000 limited partner profiles globally with the deepest data on fund commitment history, allocation targets, and investment staff contacts. For a GP raising Fund I or Fund II, PitchBook answers the critical question: which LPs are most likely to invest in my fund? The platform tracks each LP's historical fund commitments by strategy (early-stage VC, growth equity, buyout), vintage year, geography, and fund size, allowing you to filter for LPs that have previously committed to funds similar to yours. The allocation data shows current and target allocations to venture capital as a percentage of total assets, helping you identify LPs that are underweight in VC and therefore more likely to be actively deploying. Contact information includes investment staff names, titles, email addresses, and phone numbers, though data freshness varies — expect 10-20% of contacts to be outdated at any given time. PitchBook's fund performance database (TVPI, DPI, IRR by vintage) is essential context for LP meetings: you can benchmark your target returns against the actual performance of comparable funds, demonstrating that your 3x net target is achievable based on historical data. The screening tools allow complex queries: 'Show me US-based endowments with $500M-5B in total assets that have committed to at least two early-stage VC funds in the past three years and have a target VC allocation above 5%.' This kind of precision targeting is what justifies PitchBook's $24,000-40,000+ annual price tag — though that price is a significant burden for a GP who has not yet raised their fund. Some emerging managers split the cost with co-GPs or negotiate short-term trial periods during active fundraising.

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Preqin

$15,000-25,000+/yr

Best for: Alternative asset allocation data across PE, VC, real estate, infrastructure, and hedge funds

15,000+ LP profiles
Allocation data by asset class and geography
Fund commitment history
Performance benchmarks
Fundraising tracker
Investment staff contacts

Limitations: VC-specific data is thinner than PitchBook; interface can feel clunky; some data is self-reported and may be dated

Verdict: The strongest competitor to PitchBook for LP data, with particular depth in pension funds, endowments, and sovereign wealth funds. Worth evaluating if you find PitchBook too expensive.

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Preqin is PitchBook's closest competitor for LP data, with particular strength in the pension fund, endowment, and sovereign wealth fund segments. The platform covers over 15,000 LP profiles with fund commitment history, allocation targets, and investment staff contacts. Pricing runs $15,000-25,000+ per year depending on modules and access level — meaningfully cheaper than PitchBook, which matters when you are raising your first fund and every dollar counts. Where Preqin differentiates from PitchBook is in its alternative asset breadth: while PitchBook focuses primarily on private equity, VC, and private debt, Preqin covers the full spectrum of alternatives including real estate, infrastructure, natural resources, and hedge funds. This matters for GPs who are targeting LPs that allocate across multiple alternative asset classes, since you can see an LP's complete alternatives portfolio rather than just their VC commitments. Preqin's fundraising tracker provides real-time data on which funds are currently in market, their target sizes, and reported closing progress — useful intelligence for understanding the competitive landscape during your own raise. The performance benchmarks allow GPs to compare their track record against Preqin's proprietary indices by strategy, vintage, and geography. The main limitation versus PitchBook is that Preqin's VC-specific data is thinner — fewer company-level investments tracked, less granular deal term data, and a smaller universe of VC-focused LP profiles. For a GP raising a generalist alternatives fund or targeting institutional LPs that allocate broadly, Preqin is a strong choice. For a VC-only fund, PitchBook's VC depth gives it an edge.

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Bison.co

From ~$5,000/yr (estimated)

Best for: Emerging managers who need affordable LP data with modern filtering and UX

Modern, intuitive interface
LP profiles with allocation data
Fund commitment tracking
Sector and geography filters
Contact information
CRM-style pipeline management

Limitations: Smaller database than PitchBook or Preqin; less historical data; newer platform with less track record

Verdict: The most accessible LP database for first-time fund managers. Significantly cheaper than PitchBook with a modern interface that does not require a training session to use.

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Bison.co has emerged as the most accessible LP database for emerging fund managers, offering a modern, intuitive platform at a fraction of PitchBook's and Preqin's pricing. While exact pricing is not publicly listed, estimates put it at approximately $5,000 per year — roughly 80% cheaper than PitchBook. The platform provides LP profiles with allocation data, fund commitment history, investment staff contacts, and filtering by sector focus, geography, fund size preference, and LP type (pension, endowment, family office, fund of funds). Bison's user experience is a significant differentiator: while PitchBook and Preqin feel like legacy enterprise software that requires training to navigate effectively, Bison has a clean, modern interface that emerging managers can start using productively within minutes. The CRM-style pipeline management feature lets you track your fundraising outreach directly within the platform — log meetings, set follow-up tasks, and move LPs through your pipeline stages from initial outreach to commitment. This eliminates the need for a separate fundraising CRM (saving another $200-500 per month on tools like Affinity or HubSpot). The limitation is database size: Bison covers fewer LPs than PitchBook or Preqin, with less historical depth on commitment patterns and allocation changes over time. For a first-time GP who needs to identify 200-300 potential LP targets for their fundraise, Bison provides more than enough data. For a placement agent or large fund manager who needs exhaustive global coverage, PitchBook or Preqin is the better choice.

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Dakota Marketplace

Custom ($10,000-20,000+/yr est.)

Best for: Real-time LP mandate data showing which allocators are actively looking to invest right now

Active mandate tracking
LP meeting scheduling
Allocation target updates
Investment staff contacts
Fundraising calendar
GP-LP matching

Limitations: Focused on larger institutional LPs; less useful for finding family offices or individual LPs; pricing is opaque

Verdict: Uniquely valuable for its real-time mandate data. Knowing which LPs are actively allocating to VC right now is worth 10x more than a static database of LP profiles.

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Dakota Marketplace offers something that no other LP database provides: real-time mandate data showing which LPs are actively looking to invest right now. While PitchBook and Preqin give you historical allocation data and commitment patterns, Dakota tells you 'ABC Pension Fund has an active mandate to commit $25M to early-stage VC funds in Q2 2026.' This real-time intent signal is enormously valuable during fundraising — instead of cold outreach to LPs who may or may not be allocating, you can focus your time on LPs with confirmed active mandates that match your fund profile. Pricing is custom and estimated at $10,000-$20,000+ per year. Dakota's GP-LP matching feature recommends specific LPs based on your fund's strategy, size, and geography, and the platform facilitates warm introductions and meeting scheduling through its network. The fundraising calendar shows upcoming LP conferences, allocation committee meetings, and commitment deadlines, helping you time your outreach for maximum effectiveness. The limitation is focus: Dakota primarily covers larger institutional LPs (pensions, endowments, foundations, sovereign wealth funds) with minimum commitment sizes of $5M+. This makes it most relevant for funds raising $50M+ where institutional LPs are the primary target. For emerging managers raising $10-25M from family offices and HNWIs, Dakota's coverage of those LP types is limited. The real-time mandate data also has a shelf life — mandates get filled, allocation priorities shift, and investment staff change roles, so the data is most valuable when you are in active fundraising mode rather than building a long-term relationship pipeline.

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eFront (BlackRock)

Custom (enterprise, $25K+/yr est.)

Best for: Institutional LPs managing their own alternative asset portfolios and GPs targeting those LPs

Portfolio analytics for LPs
Cash flow modeling
Performance attribution
Risk analytics
Regulatory reporting (ILPA standards)
GP benchmarking tools

Limitations: Primarily an LP portfolio management tool, not a GP prospecting database; enterprise-only pricing; requires significant onboarding

Verdict: Not a traditional LP database — it is the tool that sophisticated LPs use to manage their own portfolios. Understanding eFront helps GPs speak the language of institutional LPs.

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eFront, acquired by BlackRock in 2019, is not a traditional LP database — it is the portfolio management and analytics platform that sophisticated institutional LPs use to manage their own alternative asset portfolios. Understanding eFront matters for GPs because it reveals how your potential LPs think about portfolio construction, performance measurement, and risk management. When an LP uses eFront, they model their entire alternatives portfolio — VC, PE, real estate, infrastructure, hedge funds — with cash flow forecasts, J-curve projections, vintage year analysis, and risk factor exposure. Understanding these concepts helps you speak the LP's language during due diligence meetings. For example, when an LP asks about your fund's expected J-curve profile, they are comparing your projections against eFront's cash flow models for similar funds. When they ask about your portfolio construction approach, they are evaluating how your fund fits into their overall alternatives allocation model. eFront's GP benchmarking tools compare your fund's projected and actual performance against a universe of comparable funds, and many LPs will run this analysis before committing to your fund. GPs can license eFront to create LP-quality reporting that matches the format their LPs are accustomed to seeing. The practical implication: if you are raising from institutional LPs that use eFront (pensions with $1B+ in alternatives), investing time to understand eFront's framework and terminology gives you a meaningful edge over GPs who show up with a simple spreadsheet. Enterprise pricing starts above $25,000 per year, making it relevant primarily for established fund managers rather than first-time GPs.

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Eurekahedge

From ~$8,000/yr

Best for: Hedge fund and alternative investment LP data with Asian market coverage

13,000+ fund profiles
LP allocation data
Performance benchmarks
Asset flow analysis
Regional coverage (strong in Asia-Pacific)
Custom reports

Limitations: Primarily focused on hedge funds rather than VC; LP data skews toward alternative investment allocators; less VC-specific intelligence

Verdict: Useful for GPs targeting LPs that allocate across alternatives (hedge funds, VC, PE) rather than VC-only allocators. Strong coverage of Asian LPs that other databases miss.

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Eurekahedge covers over 13,000 fund profiles with LP allocation data, focusing primarily on the hedge fund and broader alternatives universe. The platform's unique value for VC fund managers is its coverage of Asian LPs — family offices, sovereign wealth funds, and institutional allocators in Singapore, Hong Kong, Japan, South Korea, and the Middle East that are underrepresented in PitchBook and Preqin. Pricing starts around $8,000 per year for basic access, with enhanced modules for LP data and performance analytics available at higher tiers. For GPs raising from a global LP base, Eurekahedge fills a critical gap: Asian sovereign wealth funds like GIC, Temasek, ADIA, and Mubadala are some of the largest alternatives allocators in the world, and Eurekahedge tracks their fund commitments and allocation targets more comprehensively than Western-focused databases. The asset flow analysis feature shows capital movement trends — which LP types are increasing or decreasing their alternatives allocations — providing macro context for your fundraising timing. The limitation is that Eurekahedge's primary focus is hedge funds, not venture capital. LP profiles skew toward allocators with significant hedge fund exposure, and the performance benchmarks are more relevant for absolute return strategies than for long-duration venture capital. The VC-specific data is thinner than PitchBook or Preqin. Eurekahedge is best used as a supplement for GPs targeting Asian institutional LPs or LPs that allocate across multiple alternatives strategies, rather than as a primary LP prospecting tool.

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Cobalt LP

Best for Fund I
From ~$3,000/yr (estimated)

Best for: Budget-friendly LP database focused on family offices and high-net-worth individuals

Family office profiles
High-net-worth individual data
Investment preferences
Contact information
Geographic filtering
Industry focus data

Limitations: Smaller database than institutional platforms; less data on pensions, endowments, and sovereign wealth funds; data quality varies

Verdict: The most affordable option for emerging managers targeting family offices and HNWIs — the LP types most likely to invest in a first-time fund.

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Cobalt LP focuses on the LP segment most accessible to emerging managers: family offices and high-net-worth individuals. While PitchBook and Preqin cover these segments to some degree, they are primarily institutional databases where family offices are a secondary category. Cobalt LP makes family offices the primary focus, providing profiles with investment preferences, contact information, geographic focus, and industry interest data. Estimated pricing starts around $3,000 per year, making it the most affordable dedicated LP database on the market. For a first-time GP raising Fund I, family offices represent the most realistic LP target: they have shorter decision cycles than institutional LPs (weeks instead of months), fewer gatekeepers (often a single decision-maker rather than an investment committee), lower minimum commitment expectations ($100K-$1M versus $5M-$25M), and a willingness to invest in emerging managers when the personal relationship and thesis alignment are strong. Cobalt LP helps you identify and prioritize these family offices before you start outreach. The database categorizes family offices by investment stage preference (seed, growth, PE), sector focus, geographic preference, and typical check size, allowing you to create a targeted list of 100-200 family offices that match your fund's profile. The limitation is data quality: family offices are notoriously private, and the data in any database — including Cobalt LP — may be incomplete or outdated. Contact information for single-family offices is particularly hard to maintain. Use Cobalt LP as a starting point for research, then validate and enrich the data through LinkedIn, mutual connections, and industry conferences.

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VC Beast VC Firm Directory

Free
Free

Best for: Understanding the VC ecosystem and identifying potential co-investors and anchor LP candidates

700+ VC firm profiles
Fund size and strategy data
Sector and stage focus
Team and partner information
Investment thesis descriptions
Free access — no subscription required

Limitations: Focused on VC firms rather than institutional LPs; does not include pension funds, endowments, or family office profiles; not a prospecting tool for LP fundraising

Verdict: Not an LP database per se, but invaluable for emerging managers building relationships in the VC ecosystem. Identify potential anchor LPs from established fund managers, understand who invests in your strategy, and find co-investors for deals.

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The VC Beast VC Firm Directory is not an LP database in the traditional sense — it does not profile pension funds, endowments, or family offices. But it serves a critical function for emerging managers that dedicated LP databases miss: understanding the VC ecosystem you are raising within. The directory covers 700+ VC firms with fund size data, sector and stage focus, investment thesis descriptions, team information, and notable portfolio companies. This intelligence is valuable for LP fundraising in several ways. First, identifying potential anchor LPs: established fund managers sometimes invest in emerging managers' funds as LPs, particularly when the emerging manager's strategy is complementary. Use the directory to identify VCs in adjacent strategies who might anchor your fund. Second, co-investor relationships: demonstrating that you have co-investment relationships with credible VCs validates your deal flow to institutional LPs. Third, market positioning: when LPs ask how your fund is differentiated from existing managers in your space, you need to articulate your competitive advantage against specific firms — the directory helps you map that landscape. Fourth, salary and fund economics benchmarks: VC Beast's salary data and fund economics calculators help you structure your fund's terms (management fee, carry, fund size) in line with market standards, which institutional LPs expect. All of this is free, with no subscription required. For the fundraising-specific tasks of identifying LPs, tracking allocations, and managing outreach, you need a dedicated LP database alongside VC Beast's ecosystem intelligence.

Visit VC Beast VC Firm Directory

LP Database Comparison Matrix

DatabaseAnnual CostLP ProfilesLP TypesReal-Time Mandates
PitchBook$24K-40K+35,000+All institutionalNo
Preqin$15K-25K+15,000+All institutionalNo
Bison.co~$5KGrowingMixedNo
Dakota Marketplace$10K-20K+InstitutionalLarge institutionalYes
eFront (BlackRock)$25K+N/A (LP tool)Institutional LPsNo
Eurekahedge~$8K13,000+Alternatives allocatorsNo
Cobalt LP~$3KFamily officesFamily offices / HNWIsNo
VC BeastFree700+ VCsVC firms (not LPs)No

LP Fundraising Strategy by Fund Size

Your LP sourcing strategy should match your fund size. Institutional LP databases only make sense when you are targeting institutional-sized commitments.

Fund I: $5-25M (Emerging Manager)

LP base will be primarily: personal network (40-50%), family offices (25-35%), and HNWIs (15-25%). Tools needed: Cobalt LP ($3K) for family office prospecting, VC Beast (free) for ecosystem intelligence, LinkedIn Sales Navigator ($1.2K) for warm path identification. Skip PitchBook and Preqin — institutional LPs rarely invest in Fund I managers. Focus your $5K tool budget on family office data and invest the rest in attending 3-4 LP-focused conferences (ILPA Summit, Emerging Manager Forum, Milken).

Fund II-III: $25-100M (Established Emerging)

Sweet Spot

LP base shifts toward: family offices (30-40%), fund of funds and emerging manager programs (20-30%), small endowments and foundations (15-20%), and personal network re-ups (15-20%). Tools needed: Bison.co ($5K) for broader LP coverage, Dakota Marketplace ($10K+) if you want real-time mandate data, and VC Beast (free) for ecosystem positioning. At this stage, Preqin ($15K) starts to make sense if you are targeting institutional LPs with multi-asset allocation programs.

Fund IV+: $100M+ (Institutional)

LP base becomes primarily institutional: pensions (25-35%), endowments (15-25%), sovereign wealth funds (10-20%), fund of funds (10-15%), family offices (10-15%), and insurance companies (5-10%). Tools needed: PitchBook ($24K+) for comprehensive LP intelligence, Dakota Marketplace ($10K+) for active mandates, and possibly a placement agent (1-2% of raise). At this fund size, the $40K-$60K annual tool spend is a rounding error against management fees.

Free Methods for Finding LP Data

You do not need a $24K database to start building your LP target list. Here are proven free methods that experienced fund managers use.

SEC EDGAR Form D Filings

Every fund that raises capital under Reg D files a Form D with the SEC, listing the offering amount, industry, and sometimes the names of investors. Search EDGAR for Form D filings by funds similar to yours to identify which LPs have committed to comparable strategies. This is public data that costs nothing to access.

Public Pension Fund Board Minutes

State and municipal pension funds are subject to public records laws. Their board meeting minutes, which are published online, include detailed alternative investment reports showing which funds they committed to, commitment sizes, and performance data. CalPERS, CalSTRS, and other large pensions publish comprehensive alternatives reports quarterly.

University Endowment Annual Reports

Many university endowments publish annual reports that include their asset allocation, investment philosophy, and sometimes specific fund commitments. These reports reveal which endowments are allocating to VC and how their allocation has changed over time — useful for identifying endowments that are increasing their VC allocation.

LinkedIn Research

Search LinkedIn for titles like “Director of Private Investments,” “Head of Alternatives,” “VC Allocation Analyst” at pension funds, endowments, family offices, and fund of funds. Build a relationship before you pitch — comment on their posts, attend the same conferences, and ask for warm introductions through mutual connections.

Frequently Asked Questions

How do first-time fund managers find LPs without expensive databases?

Start with free resources: VC Beast for VC ecosystem intelligence, LinkedIn for identifying LP investment staff, SEC EDGAR for Form D filings that show who invested in similar funds, conference attendee lists from events like the ILPA Summit and Emerging Manager conferences, and warm introductions from your existing network. Many Fund I managers raise $10-25M entirely through personal network, alumni connections, and one or two family office databases like Cobalt LP ($3K/year).

What types of LPs invest in emerging managers?

Family offices are the most common LP type for Fund I, followed by high-net-worth individuals, fund of funds that focus on emerging managers (like Greenspring/StepStone, Industry Ventures), endowments with emerging manager programs (especially university endowments under $5B), and other GPs investing personally. Larger institutional LPs (state pensions, sovereign wealth funds) typically require a fund to have 2-3 vintages of track record before committing.

How much do LP databases cost?

Prices range from free (VC Beast for VC data) to $3K (Cobalt LP for family offices) to $5K (Bison.co) to $15K-25K (Preqin) to $24K-40K+ (PitchBook). Dakota Marketplace and eFront are custom-priced enterprise tools. Most emerging managers spend $3K-10K on LP data during their fundraise, with the investment paying for itself if it leads to even one additional LP commitment.

Is PitchBook worth the price for LP prospecting?

For a GP raising a $100M+ fund targeting institutional LPs, PitchBook's ROI is clear — one $5M LP commitment more than covers the annual subscription. For a first-time GP raising $15-25M, PitchBook is likely overkill: your LP base will primarily be family offices and individuals where personal relationships matter more than database intelligence. Consider Bison.co or Cobalt LP at a fraction of the cost.

How many LPs should I target for a fundraise?

Plan to contact 200-400 potential LPs to close 15-30 commitments. Conversion rates vary by fund vintage: Fund I managers typically convert 5-8% of outreach into commitments, while Fund III+ managers with strong track records convert 15-25%. Use LP databases to build a targeted list of 300+ prospects, then prioritize by likelihood of fit based on allocation data, historical commitments, and relationship strength.

What information should I look for in LP profiles?

Priority data points: (1) Current VC allocation and target allocation (underweight = opportunity), (2) Historical fund commitments in your strategy, (3) Minimum and maximum commitment sizes, (4) Decision timeline and committee meeting schedule, (5) Investment staff contacts with titles and tenure, (6) Geographic and sector preferences, (7) ESG/DEI requirements if applicable. The more of these data points you have, the more effectively you can qualify LPs before investing time in outreach.

How do LP databases compare to placement agents?

LP databases give you the data; placement agents give you the relationships and sales process. A placement agent charges 1-2% of capital raised (a $200K-400K fee on a $20M fund) but brings existing relationships with LPs, meeting scheduling, and fundraising process management. For Fund I, most emerging managers cannot afford or attract a placement agent. LP databases are the DIY alternative — more work, but you keep the 1-2% fee and build direct LP relationships.

Can I find LP data for free?

Yes, with effort. SEC Form D filings (EDGAR) show which entities invested in funds, though amounts are not always disclosed. Public pension funds publish their alternative investment portfolios in board meeting minutes and annual reports. Preqin publishes a free annual report with aggregate LP allocation data. LinkedIn reveals investment staff at major LPs. Conference attendee lists are sometimes published. These free sources require significant manual research but can build a viable target list for Fund I.

What is the difference between PitchBook and Preqin for LP data?

PitchBook has more LP profiles (35K+ vs 15K+), deeper VC-specific data, and better company-level investment information. Preqin has stronger coverage of non-VC alternatives (PE, real estate, infrastructure), more detailed institutional LP allocation data, and is 30-40% cheaper. If you are raising a VC-only fund and targeting VC allocators, PitchBook edges ahead. If you are raising a cross-asset alternatives fund or targeting LPs that allocate broadly, Preqin offers better value.

How do I approach LPs once I identify them?

The best approach is always a warm introduction from someone the LP already knows and trusts — a current GP in their portfolio, a board member, or a shared professional connection. If cold outreach is necessary, send a brief, personalized email that references specific data points: 'I noticed [LP name] committed to [similar fund] in 2024. Our strategy is complementary and I would value 20 minutes to share our approach.' Avoid mass emails. Target 5-10 personalized outreach per week. Follow up exactly once after 7 days. Accept that 90% will not respond.

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