Private Markets, Angel and Secondary Investing, Sacra

Sacra

Private Markets, Angel and Secondary Investing

Bringing transparency to private markets so investors, founders, and employees can build on conviction. Sacra delivers deeply researched insights on the private companies shaping tomorrow's markets. By surfacing the data, context, and operator perspective that are missing from private markets today, we help secondary buyers and sellers price equity accurately and unlock liquidity for the people building these businesses.

Private Capital Markets

<ul><li>SaaS in its current dashboard—and workflow-centric form—built on the 2010s UX pattern of buttons, views, and user-driven actions—is being eclipsed by AI agents, with buyers of software increasingly expecting ChatGPT-style systems that can integrate &amp; reason over their data across all their tools via existing APIs, synthesize it, and drive outcomes.</li><li>While unified APIs promised fast integration for human engineers between your SaaS app and entire categories of tools like sales &amp; CRM (Salesforce/HubSpot), HRIS (Workday), and ERP (NetSuite) by flattening 3rd-party systems into the most common fields via a single integration point, AI agents threaten to render this abstraction unnecessary, as they can go deep—parsing arbitrary data structures, mapping to tenant-specific fields, and covering all edge cases—by default.</li><li>As Ampersand, Finch, Merge, and others all move to launch MCP servers and agent-facing SDKs betting MCP will become the HTTP of agentic SaaS, they’re aligning around a shared protocol that gives AI agents access to 3rd-party systems via declarative “tools” for reading and writing data layered over existing APIs—enabling agents to retrieve the live customer context they need to reduce hallucinations and take the best actions.</li></ul>

SaaS in its current dashboard—and workflow-centric form—built on the 2010s UX pattern of buttons, views, and user-driven actions—is being eclipsed by AI agents, with buyers of software increasingly expecting ChatGPT-style systems that can integrate &amp; reason over their data across all their tools via existing APIs, synthesize it, and drive outcomes.While unified APIs promised fast integration for human engineers between your SaaS app and entire categories of tools like sales &amp; CRM (Salesforce/HubSpot), HRIS (Workday), and ERP (NetSuite) by flattening 3rd-party systems into the most common fields via a single integration point, AI agents threaten to render this abstraction unnecessary, as they can go deep—parsing arbitrary data structures, mapping to tenant-specific fields, and covering all edge cases—by default.As Ampersand, Finch, Merge, and others all move to launch MCP servers and agent-facing SDKs betting MCP will become the HTTP of agentic SaaS, they’re aligning around a shared protocol that gives AI agents access to 3rd-party systems via declarative “tools” for reading and writing data layered over existing APIs—enabling agents to retrieve the live customer context they need to reduce hallucinations and take the best actions.

Ayan Barua, CEO Of Ampersand, On Infra For AI Agent Integrations

<ul><li>Vibe coding is accelerating the output of both code and bugs, creating the need to get test coverage across new features faster and driving the rise of developer-native “vibe testing” tools like Momentic, Antithesis ($77M raised, Amplify Partners), QA Wolf ($56M raised, Inspired Capital) and Qodo ($50M raised, Susa Ventures) that translate natural language into code and bundle in test generation, auto-repair when the UI changes, and observability.</li><li>As writing end-to-end tests becomes faster and easier, it’s moving out of QA teams and into the entire engineering organization, turning testing from post-hoc validation to always-on developer infrastructure and creating the opportunity to merge together once-separate categories like CI test checks (GitLab), browser automation (BrowserStack), observability (Datadog) and QA outsourcing (Applause) into one unified platform for validating that software actually works.</li><li>One of our customers saw a 5x speed improvement in time to automate moving from Playwright to Momentic. We were able to see some very drastic reliability improvements moving from Cypress to Momentic as well.</li></ul>

Vibe coding is accelerating the output of both code and bugs, creating the need to get test coverage across new features faster and driving the rise of developer-native “vibe testing” tools like Momentic, Antithesis ($77M raised, Amplify Partners), QA Wolf ($56M raised, Inspired Capital) and Qodo ($50M raised, Susa Ventures) that translate natural language into code and bundle in test generation, auto-repair when the UI changes, and observability.As writing end-to-end tests becomes faster and easier, it’s moving out of QA teams and into the entire engineering organization, turning testing from post-hoc validation to always-on developer infrastructure and creating the opportunity to merge together once-separate categories like CI test checks (GitLab), browser automation (BrowserStack), observability (Datadog) and QA outsourcing (Applause) into one unified platform for validating that software actually works.One of our customers saw a 5x speed improvement in time to automate moving from Playwright to Momentic. We were able to see some very drastic reliability improvements moving from Cypress to Momentic as well.

Wei-Wei Wu, CEO Of Momentic, On AI-native end-to-end Testing

<ul><li>Trendsi was valued at approximately $134.5 million post-money in its Series A round in October 2022.</li><li>Trendsi operates a B2B supply chain platform that enables boutique owners, online sellers, and influencers to sell fashion products without holding inventory.</li><li>Trendsi operates a B2B2C model that combines a two-sided marketplace with vertical supply chain services.</li></ul>

Trendsi was valued at approximately $134.5 million post-money in its Series A round in October 2022.Trendsi operates a B2B supply chain platform that enables boutique owners, online sellers, and influencers to sell fashion products without holding inventory.Trendsi operates a B2B2C model that combines a two-sided marketplace with vertical supply chain services.

<ul><li>Sacra estimates Intercom re-accelerated in 2024, hitting $343M in revenue at the end of 2024, up 25% year-over-year.</li><li>Intercom has kept tiered per-seat pricing in place—layering in AI as a base feature to raise the revenue per seat.</li><li>While autonomous AI-native agent startups aim to automate high volume ticket resolution, Intercom offers AI agents as part of an all-in-one customer service SaaS platform.</li></ul>

Sacra estimates Intercom re-accelerated in 2024, hitting $343M in revenue at the end of 2024, up 25% year-over-year.Intercom has kept tiered per-seat pricing in place—layering in AI as a base feature to raise the revenue per seat.While autonomous AI-native agent startups aim to automate high volume ticket resolution, Intercom offers AI agents as part of an all-in-one customer service SaaS platform.

United States

Conversational AI tool for enterprises to automate customer service across chat and voice

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Sierra (SIERRA US)

Ayan Barua, CEO Of Ampersand, On Infra For AI Agent Integrations

Last time we talked in October 2024, you mentioned AI agents, but we did not go into it deeply. What has changed in SaaS since we last spoke, both...

Sacra

Wei-Wei Wu, CEO Of Momentic, On AI-native end-to-end Testing

In short, what is Momentic...

Sacra

Primer: Trendsi - 30 Apr 2025

Fashion dropshipping, wholesale, and private labeling platform simplifying sourcing, inventory, and fulfillment

Sacra

Intercom At $343M/year

TL;DR: After Intercom’s growth slowed to 10% YoY in 2023 as customer services teams shrank, Sacra estimates that Intercom hit $343M in revenue in...

Sacra

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