Built for people who want signal over noise.
AI Tool Stack Advisor
Contextual intelligence for AI coding and research tools without chasing the curve.
Tell us what you already use. We show what is covered, what is redundant, and what is worth thoughtfully evaluating next.
- Audience: Practitioners and curious adopters who want a calm, structured way to choose and track AI tools for coding, research, writing, and early-stage product thinking.
- Core Outcome: Clear read on what your stack already covers, what overlaps, and what might be worth evaluating next - plus a lean default stack guide for messy early ideas.
Problem
- AI tool coverage changes monthly; static blog posts go stale fast.
- People over-subscribe to overlapping assistants, IDEs, and research tools.
- Early-stage founders need clarity on what to pay for vs keep free before building or validating.
Solution
- Curated library of 64+ tools with capabilities, pricing notes, and calm maturity signals.
- Personal stack builder with deterministic recommendations (no LLM required for core advice).
- Admin-reviewed submissions and weekly ingest monitor to grow the library responsibly.
- Early-stage ideas modal: lean ~$20/month default stack (ChatGPT Plus + free NotebookLM, Perplexity, visual mapping).
Operational Notes
- Works offline-first with browser storage; syncs when signed in with Google or Microsoft.
- Production: Railway + Supabase Postgres.
- Owner/admin workflows for submissions, monitor findings, and user management.
Differentiators
- Anti-FOMO tone: "No urgent action needed" is a valid result.
- Custom tools count in your stack immediately while admin reviews for the public library.
- Weekly ingest surfaces pricing/changelog/discovery signals for human review only.