Jakubantalik
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thinking-orbs
A React component library that renders six hand-tuned animated thought orb loading indicators on a plain 2D canvas, with two purpose-tuned sizes and automatic theme detection for AI and agent UIs.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It inverts the usual CRM/AI pattern: the agent is the product and the CRM is its notes, with no guessing about people, an API deliberately free of intelligence, and a sandbox with no network or database credentials.
Who it is for
- Developers building AI-native or agentic SaaS applications
- Small teams or startups wanting an internal single-tenant CRM with autonomous lead research
- Open-source contributors interested in durable agents, eve, and evidence-based AI workflows
- Sales operations or engineers who want Google Workspace-integrated pipeline tracking
Use cases
- Automatically researching and enriching contacts and companies from email threads, calendars, and optional external APIs
- Building and updating a sales pipeline with agent-run rechecks and scheduled follow-ups
- Deploying an internal CRM where reps can see the agent's reasoning and ask it questions
- Running a self-scheduling research loop that continues even when no browser is open
Strengths
- Durable agent architecture: sessions survive redeploys, work resumes, and tasks lease rows with FOR UPDATE SKIP LOCKED
- Evidence-based data handling: no confidence scores, no guessed facts; strong evidence writes, weak evidence becomes human suggestions
- Runs with zero external API keys; every outside source is optional and the agent plans around what is configured
- Security-conscious design: the sandbox has deny-all egress and never receives DATABASE_URL
Considerations
- Single-tenant and internal by design, with no organizations and Google-only sign-in
- Requires Bun, Docker, Postgres, and a Vercel-oriented deployment model
- The API layer intentionally contains no intelligence, so some automation expectations need rethinking
README quick start
Quick start
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