The Best AI Tools for Startups
The AI stack early-stage startups actually pay for — from writing and coding to design, sales and analytics — with free plans, startup programs and honest pricing surfaced.
A startup's AI stack should be optimized for two things: shipping speed and cost per outcome. Buy the tools that clearly compound; delay the rest.
Most funded early-stage startups run: a general assistant, a coding copilot, a design tool, a research engine, a sales/CRM AI, and one or two vertical tools for their category. That's it.
Take advantage of startup programs — Notion, Linear, AWS, Figma, GitHub, and multiple LLM providers offer credits or steep discounts to seed-stage teams. We track live confirmed programs on /deals.
As you scale, watch for duplication: two writing tools, three note-takers, four analytics dashboards. Consolidate quarterly.
Tools worth checking
The original general-purpose AI assistant
Thoughtful, long-context reasoning
The AI-first code editor
Answer engine with real citations
Build full apps from a prompt
Most artistic image generator
FAQ
Notion, Linear, AWS, GitHub, Figma and multiple LLM providers. We only list programs we've verified — see /deals.
Most seed-stage teams spend $100-500/month on AI tools per active user, weighted heavily toward coding and general assistants.
For most seed-stage startups, no. The operational cost dwarfs API pricing until you have very high volume.
Vendor-neutral ToolHund Score covering capability, value, popularity and freshness. See /score.