Jobs with Startups
JobsStartupsInvestorsMCP
Startups

Quantstruct

Quantstruct logo

Quantstruct

AI documentation engineer – test & autoimprove stale product docs

quantstruct.com
HQ: San Francisco, CA, USA
1-10
B2B

Company research

Public company, workplace, funding, and market signals

Updated Jul 29, 2026

Overview

Quantstruct is a YC W25 startup building an agentic workflow platform that automatically tests, updates, and publishes technical documentation for API/SDK and enterprise software teams, using signals from code changes, customer conversations, and support/workflow tools.

Primary product

AI documentation automation platform for technical docs, changelogs, and implementation guides

Founded

2025

Headquarters

San Francisco, California, United States

Team size

1-10

Industry

Technology, Information and Internet

Sub-industry

AI documentation automation / developer tools

Business model

B2B SaaS
Cloud software
Usage-based and/or subscription pricing

Funding

Stage

Pre-seed

Total raised

$500K

Latest round

Pre Seed · Apr 2025

Latest amount

$500K

Pre Seed

Apr 2025 · Y Combinator

$500K

Seed

Jan 2025 · Y Combinator

People & investors

Leadership

Sarthak Srinivas

Cofounder, CEO

Newman Hu

Co-Founder, CTO

Investors

Eight Capital Management
Y Combinator

Work & culture

Public materials emphasize a developer-centric, high-touch workflow: personalized onboarding, evergreen documentation, strong validation before publishing, and tight integration with teams’ existing tools.

Visa sponsorship

Limited

Compensation

One public YC job posting listed $180K-$200K base pay with 0.10%-0.25% equity for an AI documentation engineer role; it also said US citizen/visa only, suggesting no broad sponsorship policy was publicly advertised.

Product & market

Pricing

Public pricing not found; appears sales-led with demo/onboarding and likely subscription or usage-based SaaS pricing.

Differentiators

  • —Continuously monitors code, customer conversations, and workflow events for doc changes
  • —Uses agents to research, test, validate, and improve docs before publishing
  • —Can check links, WCAG/accessibility, code blocks, screenshots, and diagrams
  • —Integrates tightly with GitHub and Slack for review/publishing workflows
  • —Supports many docs surfaces and tools, including Mintlify, Fern, GitBook, Docusaurus, Nextra, and ReadMe
  • —Personalized onboarding and white-glove support
  • —Targets evergreen documentation rather than one-off generated docs

Technology

GitHub
Slack
Jira
Linear
Zendesk
Discord
OpenAPI
Mintlify
Fern
GitBook
Docusaurus
Nextra
ReadMe
browser automation
AI agents
screenshot and video capture
validation/evaluation workflows

Customers

Vapi
API and SDK companies
developer platform teams
enterprise software teams
technical writers
product teams

Competitors

Mintlify
GitBook
ReadMe

Scale & contact

Estimated revenue

≈$330K ARR (third-party 2025 estimate)

Estimated monthly visits

1.8K

support@quantstruct.com

Latest news

Quantstruct 🤖 Launches: Improve Your Technical Docs 24x7 with AI Agents

Fondo · Feb 2026

Launch recap highlighting the product, founders, customer pain, and the workflow/validation features such as screenshots, accessibility checks, broken-link checks, and diagrams.

Quantstruct uses AI to improve technical documentation

American Bazaar · Jan 2025

News write-up on the launch that reiterates the product, the founders’ backgrounds, the documentation-debt problem, and the GitHub/Slack workflow.

Launch YC: Quantstruct 🤖 – Improve Your Technical Docs 24x7 with AI Agents

Y Combinator · Jan 2025

Official launch post describing Quantstruct as an AI technical writer that researches, tests, and updates docs continuously, with GitHub/Slack integrations and early customer references.

Sarthak Srinivas launch post on LinkedIn

LinkedIn · Jan 2025

Founder post announcing the company’s mission to fix technical enterprise documentation and linking to quantstruct.com.

Vapi case study: evergreen docs with Quantstruct

Quantstruct · Jan 2025

Official customer case study describing Vapi’s use of Quantstruct to automate changelogs and documentation updates and save engineering time.

Case study: VapiDashboard / docs canvasGitHub organizationLinkedIn company pageOfficial websitePrivacy policyTerms of serviceX profileYC company profileYC launch post
SourcesOfficial websiteYC company profileYC launch postCase study: VapiGitHub orgLinkedIn company pageSarthak Srinivas LinkedInNewman Hu LinkedInYC jobs pagePublic job postingTracxn funding pageGetLatka revenue estimateAmerican Bazaar launch articleFondo launch write-up

Jobs and careers at Quantstruct

0 jobs at Quantstruct

No open positions

Check back later for new openings

Explore startup hiring

Startup Hiring PulseBrowse all startup jobsJobs at Y Combinator startupsJobs at AI startupsJobs at early-stage startupsJobs at venture-backed startupsB2B startup jobs

Jobs with Startups © 2026

Browse jobsMCP guideAboutPowered by Supabase