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BasaltCRM: A high-performance, enterprise-grade CRM and outreach engine. Built on Next.js 16, TypeScript, Shadcn/ui, and Prisma. Features AI-powered lead discovery, intelligent ICP scoring, multi-channel communication (Voice/SMS/Email), and real-time business analytics.

9 starsTypeScript

BasaltCRM – Open-Source AI-Native CRM (Next.js 16, Prisma, TypeScript)

by mayordelmar·Feb 19, 2026·2 points·0 comments
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AI Analysis

●Mid

Next.js CRM with LearniLink; competes with Salesforce, HubSpot, Plane.

Strengths
  • •Migrated entire codebase from ESLint/Prettier to Biome for measurable 10x linting speed improvement—tangible performance win, not vaporware.
  • •Integrated Knowledge Base + CRM University deep-linking embeds learning directly into workflows, reducing support tickets and onboarding friction.
Weaknesses
  • •Generic "AI-native" framing without specifics—no detail on what AI actually does (lead scoring? cold email gen? contact deduplication?); marketing-first presentation.
  • •Launched at 1 star with 0 forks signals zero adoption; competes directly against entrenched free/cheap CRM tools (HubSpot free, Plane) and open-source alternatives (n8n, OpenCRM).
Category
SaaS
Target Audience

Small teams, startups, self-hosted CRM users

Similar To

HubSpot · Salesforce · Plane

Post Description

Hi HN,

I just released v1.2.0 of BasaltCRM, an open-source, AI-native CRM built with Next.js 16, TypeScript, and Prisma.

This release, "The Intelligent Workspace," moves beyond data storage and focuses on active workflow assistance. We've added CRM University for educational deep-linking, an integrated Knowledge Base for support cases, and a new onboarding engine.

Key technical updates in this version:

• Migrated the entire codebase from ESLint/Prettier to Biome for 10x faster linting/formatting.

• Refactored instructional components into a provider-based "LearnLink" system.

• Hardened the AI theme engine to ensure charts (Tremor/Recharts) and UI elements dynamically inherit theme variables without hardcoded overrides.

• Implemented a robust account ingestion engine for bulk data handling.

The goal is to provide a platform that handles the heavy lifting of lead discovery and automated outreach using real-time web intelligence rather than stale databases.

I'd love to hear your feedback on the architecture, especially our approach to multi-model AI integration.

Website: https://crm.basalthq.com Repo: https://github.com/BasaltHQ/crm-official

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