Venture capital work is relationship driven, deal flow intensive, portfolio aware, and LP reportable. Strkr ships a CRM shaped around deal sourcing, portfolio KPI tracking, LP relationship management, and board-ready reporting.
A VC firm runs on relationships and data neither of which fit a generic sales CRM. A deal flow is a pipeline, a portfolio company is a product with KPIs, and an LP is a client with cadence expectations. The pain points below are what Strkr onboarding hears from VC firms sized from $20M seed funds to $2B multi-stage platforms.
A generic sales CRM models deal flow as deals with linear stages. VC deal flow is non-linear: sourced, screened, met, diligenced, partnership vote, passed, parked, or won. The partner needs a view that supports the actual stage flow. Strkr models deal flow with VC-shaped stages and partner-level views so the Monday partner meeting runs on the right data.
Portfolio company KPI tracking usually happens in a Google Sheet that one associate updates on weekends. The partner reads stale data when the LP update is due. Strkr portfolio object captures KPIs (ARR, growth, burn, runway, headcount, next raise) with monthly update cadence and automated reminders to portfolio founders.
LPs expect quarterly updates with portfolio-level KPIs and fund-level performance. Partners miss cadence because the data assembly is a quarter-long project. Strkr automates portfolio KPI aggregation and Strkr AI drafts the LP update narrative so the partner sends on cadence instead of on hope.
A partner meeting a founder for the first time does not always know which other VCs are already on the cap table. Strkr captures the cap table structure on each portfolio company with investor list, ownership percentage, round history, and board composition so the partner walks into every meeting prepared.
Deals get introduced through LPs, portfolio founders, operator network, and inbound channels. The source attribution matters for strategy and relationship management. Strkr tracks source attribution with introducer type, specific person, and date, so year-end strategy reviews can measure what sourcing channels actually produce.
For each portfolio board meeting the partner spends three hours building the slides on company performance, portfolio comps, and relevant benchmarks. Strkr AI drafts the board slide narrative pulling from the portfolio KPIs, Strkr AI gives the partner a running head-start instead of a blank Keynote file.
Strkr ships a tunable VC schema with Deal, Portfolio Company, Investor, LP, Fund, Round, and Introducer as first-class objects. The firm admin can rename or extend anything. The default lands close to where most VC firms settle.
A deal in Strkr carries stage (sourced, screened, met, diligence, partnership, decision, closed, passed, parked), sector, target round size, lead investor, co-investors, team meeting history, and partnership votes. Partners see personal pipeline alongside firm pipeline.
A portfolio company carries current KPIs (ARR, growth rate, burn, runway, headcount, next raise timing), cap table structure, board composition, Strkr firm position (ownership percentage, invested amount, round pro-rata rights), and quarterly update log.
Investor records capture peer VCs with syndication history, relationship warmth (strong, warm, cold), typical check size, sector preferences, and recent portfolio moves. The partner sees which VCs to call for co-invest on a deal.
LP records carry commitment amount, capital called to date, cadence expectations (quarterly, semi-annual, annual), communication log, and key contacts at the LP. The LP relationship stays warm because the cadence is tracked.
Fund records carry vintage year, size, deployment pace (percent deployed to date), reserves allocated for follow-on, management fee structure, and performance metrics (DPI, TVPI, net IRR). Partners see fund health on the dashboard.
Round records tie to portfolio companies with round name (Seed, Series A, Series B), pre-money valuation, post-money, participants, Strkr firm check size, pro-rata rights, and specific terms (preferred shares, board seat, pro-rata, information rights).
Introducer records capture the person or entity that sourced a deal (LP introduction, portfolio founder, operator network, inbound, outbound, event). The attribution feeds annual sourcing strategy reviews.
Firms run on a Monday partner meeting cadence covering new deals, active deals, portfolio updates, and firm operations. The cards below are what the partner meeting dashboard shows.
The screening view surfaces newly sourced deals from the past week with the sourcing associate note, the Strkr AI drafted summary of the pitch deck, and the partner-of-the-day recommendation (take call, pass, park). The partners triage in a 20-minute block instead of a 90-minute debate.
The active deal view surfaces deals at the partnership-vote stage with the diligence memo, the partner sponsor, and the proposed term sheet. The partnership votes with the full context in one view.
The portfolio alerts view surfaces portfolio companies with KPI anomalies (burn accelerating, headcount dropping, growth decelerating), upcoming board meetings, next-raise timing in the next 90 days, and open support requests. Partners triage support work weekly.
The LP cadence view surfaces LPs due for an update based on their stated cadence. The partner sees who is due this week with Strkr AI drafted LP update narratives ready for review. The LP relationship stays current.
The fund health view shows current fund deployment pace against vintage benchmarks, reserves allocated for follow-on, and remaining dry powder. Partners see fund status at a glance for strategic deployment decisions.
The sector thesis view shows deployment distribution across the firm investment theses with capital allocated, deals in diligence, and sector-specific performance. The firm sees whether real deployment matches stated thesis.
Strkr AI drafts in a partner voice with retrieval scope on the deal, the portfolio company, the LP, or the investor record as appropriate. The jobs below are what shows up on every VC deployment inside the first two weeks.
When a new deal arrives Strkr AI drafts a one-page summary from the pitch deck covering team, market, product, traction, and ask. The partner reads the summary in 90 seconds before deciding whether to take the first call.
For deals at diligence stage Strkr AI drafts the partnership memo scaffold covering investment thesis, team, market, business model, traction, risks, and recommended terms. The partner reviews, adds judgment, and tunes 20 to 40 percent of the content before the partnership meeting.
For the quarterly LP update Strkr AI drafts the narrative covering fund performance, portfolio highlights, portfolio concerns, new investments, and macro commentary. The partner reviews and tunes before sending to the LP distribution.
For portfolio board meetings Strkr AI drafts the board slide narrative covering company performance, market context, competitive moves, and board asks. The partner tunes and brings to the board meeting with 2 to 3 hours saved per company.
Strkr AI drafts the monthly founder check-in message covering specific updates from the portfolio KPI data, offers of support, and questions on open topics. Partners stay connected to portfolio companies without the typical drift.
When a partner wants to syndicate a deal Strkr AI drafts the outreach to peer VCs covering the opportunity, the Strkr firm position, and the co-invest ask. The partner sends to the warm investor list with light edits.
Most VC firms try a general CRM once and either bounce or build an elaborate custom-field workaround. The comparison below is Strkr VC posture versus a generic sales CRM applied to a VC firm.
| Feature | Strkr | Generic sales CRM for a VC firm |
|---|---|---|
| VC-shaped deal stages | Sourced through partnership vote. | Linear sales stages. |
| Portfolio company as first-class | With KPIs, cap table, board. | Custom object workaround. |
| Fund tracking | Vintage, deployment pace, reserves. | None. |
| LP cadence management | Automated with Strkr AI drafted update. | Spreadsheet reminder. |
| Co-investor relationship | Syndication history and warmth. | Contact record only. |
| Introducer attribution | Specific person per deal. | Lead source dropdown. |
| Pitch deck summarization | Strkr AI drafts in 90 seconds. | Partner reads manually. |
| Board slide narrative draft | Yes. | None. |
The playbooks below are patterns Strkr onboarding sees across VC firm deployments.
A $20M seed fund in New York ran deal flow in Streak with portfolio tracking in a Google Sheet. The partners wanted structured sourcing attribution and faster LP updates. Strkr onboarding ran a seven-business-day migration with deal flow, portfolio KPIs, and LP cadence shipping on day one. The next quarterly LP update went out on time for the first time in three quarters.
A $120M early-stage fund with 6 partners and 42 portfolio companies ran Affinity for deal flow with Google Sheets for portfolio tracking. The partners spent a weekend each quarter rebuilding the LP update. Strkr onboarding ran a 14-business-day migration consolidating deal flow, portfolio tracking, and LP cadence into Strkr. The LP update weekend went away.
A $500M multi-stage platform with 11 partners across seed, Series A, and growth ran a tangle of Affinity for sourcing, 4Degrees for relationship intelligence, and Carta for cap table. Strkr onboarding ran a 24-business-day migration consolidating sourcing, portfolio tracking, and LP cadence into Strkr with Carta staying for cap table. Partner meeting prep time dropped from 11 hours per partner per week to roughly 4.
A $2B growth equity firm with 24 investment professionals ran a bespoke internal CRM built on Salesforce over 11 years. The system had drifted beyond maintenance. Strkr onboarding ran a 42-business-day migration consolidating the Salesforce custom-object graph into Strkr custom objects and shipping the LP cadence, portfolio tracking, and board slide draft workflows. The internal Salesforce admin team of 3 reassigned to deal work.
A $140M VC fund focused on Southeast Asia ran deal flow across Singapore, Jakarta, Manila, and Ho Chi Minh City. The team needed multi-currency portfolio tracking (SGD, IDR, PHP, VND) and local-language founder outreach. Strkr onboarding configured the multi-currency portfolio tracking and the Strkr AI drafted founder outreach in English, Bahasa, Filipino, and Vietnamese. The next quarterly LP update to international LPs went out in multiple languages for the first time.
Book a 30 minute call. We will walk through the deal flow stages, the portfolio KPI tracking, the LP cadence workflow, and the board slide draft with your actual fund structure.
Strkr can import from Affinity, 4Degrees, Harmonic, Signal, and other VC-focused tools through the standard webhook spec with HMAC signing and the published OpenAPI spec. Firms migrating off a dedicated VC CRM usually consolidate relationship intelligence, deal flow, and portfolio tracking into Strkr. For firms that want to keep a dedicated relationship intelligence tool Strkr runs alongside with bi-directional sync. The typical cutover from a dedicated VC CRM takes 14 to 24 business days.
Portfolio company records carry stage-appropriate KPI schemas. Seed-stage companies track early revenue, pilot customers, and burn. Growth-stage companies track ARR, growth rate, net revenue retention, and runway. The schema flexes per company so a seed-stage portfolio company does not have to shoehorn into growth-stage fields. Monthly update cadence runs through Strkr AI drafted founder outreach with the founder filling in the KPI delta.
LP records carry stated cadence expectations (quarterly, semi-annual, annual) and communication log. On the due cadence Strkr AI drafts the LP update narrative pulling from portfolio KPIs, fund performance metrics, and recent activity. The partner reviews, tunes, and sends to the LP distribution. The cadence stays consistent and the LP update weekend goes away.
Strkr captures cap table structure (investor list, ownership percentage, round history, board composition, Strkr firm pro-rata rights) at a summary level sufficient for partner meetings and board prep. For detailed cap table operations (409A valuations, option grants, waterfall modeling) Strkr integrates with Carta, Pulley, and Shareworks through the standard webhook spec. The two systems stay in sync.
Role-based access control scopes visibility to partners, principals, associates, and operations staff. SSO (SAML and OIDC) through Clerk ships on Scale tier. MFA with TOTP plus text-based verification is live across all tiers. The audit log captures every record read and write with 90-day default retention tunable per firm. For firms in regulated jurisdictions (SEC registered, FCA regulated) GDPR and relevant compliance posture is documented in the available DPA.
Strkr prices flat per seat at $29 Starter, $59 Pro, $119 Scale per user per month with a 14-day trial. For an 11-partner firm on Scale the monthly spend runs $1,309 for seats plus $49 for AI add-on. Affinity typically runs $120 to $200 per seat per month. A Salesforce custom build runs $165 per seat plus implementation partner retainer at $8k to $20k per month. For a mid-size firm Strkr lands at roughly 50 to 70 percent cost reduction with the partner retainer eliminated.
No sales call, no migration consultant, no four-month implementation. Enter your card, get 14 days of the full Pro tier, cancel any time before day 14 with zero charge. Spin up a workspace, import your CSV, and have something useful before lunch.
