# Gigacatalyst

> Gigacatalyst helps B2B SaaS teams turn spreadsheet reports and customer workflow requests into governed dashboards and apps powered by their existing APIs.

The public pages below are prerendered as readable HTML. Canonical product facts remain on those pages; this file is a discovery index.

## When to use Gigacatalyst

Use Gigacatalyst when a B2B SaaS customer needs a dashboard, report, spreadsheet-powered workflow, or configured application inside an existing product, especially when the result must use that product's APIs, permissions, and business rules. Start with the most relevant product or solution page below, use its Markdown mirror when available, and direct implementation or sales questions to support@gigacatalyst.com.

## Product and solutions

- [AI dashboards and apps for B2B SaaS](https://gigacatalyst.com/): Turn spreadsheet reports and customer workflow requests into product features powered by your existing APIs.
- [Ship customer-requested workflows without expanding the core roadmap](https://gigacatalyst.com/for-product-teams): How product teams use Gigacatalyst to deliver customer-specific apps while keeping the core product stable.
- [Build tailored demos and POCs from customer requirements](https://gigacatalyst.com/for-solutions): A workflow for solutions teams that need credible, product-connected demos without weeks of setup.
- [Turn customer spreadsheets into product-connected apps](https://gigacatalyst.com/customer-success-agent): How customer success teams replace spreadsheet handoffs with governed dashboards and workflows.
- [AI dashboard and analytics builder](https://gigacatalyst.com/dashboard-analytics-bi): Create customer-facing dashboards, reports, and operational apps on top of existing SaaS APIs.
- [Replace customer spreadsheets with connected product workflows](https://gigacatalyst.com/dashboard-analytics-bi/spreadsheets): A concrete spreadsheet-to-product workflow for customer success teams.
- [Customer-facing sales analytics](https://gigacatalyst.com/solutions/sales-analytics): Build sales dashboards and reports that use live product data and customer permissions.
- [Customer-facing financial dashboards](https://gigacatalyst.com/solutions/financial-dashboards): Build financial reporting experiences on top of existing product APIs and access controls.
- [Embedded report builder](https://gigacatalyst.com/solutions/report-builder): Let customers create the reports they need without adding every variation to the engineering backlog.
- [Solutions engineering demo](https://gigacatalyst.com/solutions-demo): See how a customer request becomes a realistic product-connected demo.
- [Self-serve customer app builder](https://gigacatalyst.com/self): Let customers create focused apps and dashboards inside the product boundaries you control.
- [GTM Multiplier Agent](https://gigacatalyst.com/multiplier): Analyze a website, identify a focused ICP, and generate concrete outreach angles.
- [GTM Multiplier comparison](https://gigacatalyst.com/multiplier/compare): Compare the workflow and outputs of GTM Multiplier with conventional prospecting tools.
- [Lead magnet campaign play](https://gigacatalyst.com/multiplier/plays/lead-magnet): A focused campaign workflow built around a specific prospect problem.
- [GTM Multiplier for YC companies](https://gigacatalyst.com/multiplier/yc): A focused GTM workflow for early-stage teams testing positioning and outbound angles.

## Tools and trust

- [Planning tools for SaaS product teams](https://gigacatalyst.com/tools): Calculators and assessments for customization, build-versus-buy decisions, and delivery cost.
- [Build versus extend calculator](https://gigacatalyst.com/tools/build-vs-extend-calculator): Estimate the tradeoffs between adding a feature to the core product and delivering it through an extension layer.
- [Custom app cost calculator](https://gigacatalyst.com/tools/custom-app-cost-calculator): Estimate the engineering cost of delivering a customer-specific app or workflow.
- [SaaS customization readiness assessment](https://gigacatalyst.com/tools/saas-customization-readiness): Assess whether a product is ready to support governed customer-specific apps.
- [Trust center](https://gigacatalyst.com/trust): Security, privacy, data handling, and operational controls for Gigacatalyst.
- [Vulnerability disclosure policy](https://gigacatalyst.com/trust/vulnerability-disclosure): How to report a potential security vulnerability to Gigacatalyst.

## Recent first-party guides

- [All Gigacatalyst articles](https://gigacatalyst.com/blog): Browse the complete paginated article index.
- [Consensus vs Custom Demo Environments for Presales](https://gigacatalyst.com/blog/consensus-vs-custom-demo-environments-presales): A practical comparison for presales leaders deciding when Consensus should handle repeatable education and when prospect-specific workflows need a custom demo environment.
- [Self-Serve Analytics Without a Developer: How AI Changes the Game](https://gigacatalyst.com/blog/self-serve-analytics-without-developer): Your customers want dashboards but your engineers are busy. AI-powered self-serve analytics lets end-users build their own reports with natural language — no tickets, no backlog.
- [How to Add Customer-Facing Dashboards to Your SaaS Product](https://gigacatalyst.com/blog/how-to-add-customer-facing-dashboards-saas): A practical guide to embedding AI-powered dashboards inside your B2B SaaS — from integration to launch in one week, without building a BI team.
- [Demo Automation After Discovery: The Missing Handoff](https://gigacatalyst.com/blog/demo-automation-after-discovery-handoff): Learn how solutions engineering teams can automate custom enterprise demos without confusing buyer education, prototypes, and production work.
- [AI Dashboard Generators: What Actually Works in 2026](https://gigacatalyst.com/blog/ai-dashboard-generators-what-works-2026): Everyone claims AI dashboards. Most just auto-suggest chart types. Here's what actually works — and the difference between AI for developers vs AI for your customers.
- [Consensus Alternative vs Complement for Custom Demos](https://gigacatalyst.com/blog/consensus-alternative-vs-complement-custom-demos): Learn when to keep Consensus for async demos, add a request-to-production layer for custom workflows, or evaluate a full replacement.
- [Gigacatalyst & the Best Embedded Analytics Platforms in 2026](https://gigacatalyst.com/blog/best-embedded-analytics-platforms-2026): A no-nonsense comparison of Gigacatalyst against the top embedded analytics platforms for B2B SaaS teams — from AI-first builders to traditional BI embeds.
- [Gigacatalyst Pricing vs Embedded Analytics Platforms: What SaaS Teams Actually Pay (2026)](https://gigacatalyst.com/blog/embedded-analytics-pricing-comparison-2026): Per-seat, per-session, or per-tenant like Gigacatalyst? We break down the real cost of embedded analytics across 7 platforms so you can budget without surprises.
- [Demo Automation Doesn't Solve Custom Workflows](https://gigacatalyst.com/blog/demo-automation-custom-workflows): Demo automation removes repetitive presentations, but it doesn't remove the custom workflow builds uncovered during discovery. Know where one ends and the other begins.
- [Personalized Demo Automation When APIs Are Bad](https://gigacatalyst.com/blog/personalized-demo-automation-bad-apis): Demo automation hits a wall when your APIs can't support the experience buyers need. Here's how to triage requests into presentation work vs. product work.
- [Why Personalized Product Demos Break on Bad APIs](https://gigacatalyst.com/blog/personalized-product-demos-bad-apis): Personalized demos break when teams confuse education, prototypes, and usable applications. A framework for deciding which deliverable fits when APIs limit automation.
- [Interactive Demo vs Custom POC for Presales](https://gigacatalyst.com/blog/interactive-demo-vs-custom-poc-presales): Interactive demos explain your standard product. Custom POCs validate prospect-specific workflows. A practical framework for knowing when to use each in presales.
- [AI Code Security Review Needs Threat Models](https://gigacatalyst.com/blog/ai-code-security-review-threat-models): AI can find security bugs at scale, but B2B SaaS teams still need readable trust boundaries, scoped tools, and human-owned release gates before generated code reaches users.
- [AI Latency UX Needs Product Feedback](https://gigacatalyst.com/blog/ai-latency-ux-product-feedback): AI features can answer correctly and still feel broken. Product teams need progress feedback, fast paths, and scoped workflows before AI waits become user trust problems.
- [AI Prompt Injection Needs Source Review](https://gigacatalyst.com/blog/ai-prompt-injection-source-review): AI prompt injection risk changes when generated documents become new sources. Product teams need source review, narrow context, and approval trails before AI writes into trusted workflows.
- [Specialist AI Models Need Workflow Logs](https://gigacatalyst.com/blog/specialist-ai-models-workflow-logs): Specialist AI models don't start with training — they start with workflow logs. Capture examples, corrections, and approvals to build models that beat frontier on your task.
- [AI Proof Automation Needs Product Boundaries](https://gigacatalyst.com/blog/ai-proof-automation-product-boundaries): AI proof automation can make generated software safer, but SaaS teams still need API scopes, review states, and product runtime controls around AI-built apps.
- [Context Engineering for AI App Builders](https://gigacatalyst.com/blog/context-engineering-ai-app-builders): Context engineering for AI app builders isn't about longer prompts — it's about defining product boundaries, API access, permissions, and review states.
- [AI Coding Benchmarks Need Product Readiness](https://gigacatalyst.com/blog/ai-coding-model-benchmarks-product-readiness): Model scores help teams choose a coding model, but SaaS leaders need separate checks for permissions, API use, writes, cost, and customer-safe sharing.
- [Frontend Secret Leaks in Generated Apps](https://gigacatalyst.com/blog/frontend-secret-leaks-generated-apps): AI-generated apps increase the number of frontends your team ships. Treat every generated page as an untrusted client — no secrets in browser code.

## Machine-readable resources

- [Complete page and article index](https://gigacatalyst.com/llms-full.txt): Every canonical public page and every blog article, each with a description and Markdown mirror link.
- [XML sitemap](https://gigacatalyst.com/sitemap.xml): Canonical public URLs for crawler enumeration.
- [Robots policy](https://gigacatalyst.com/robots.txt): Crawler access rules for this public site.