Granter vs Taste Lab: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Granter and Taste Lab — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Granter
Granter / Granter.ai
AI-powered platform that finds grant opportunities, drafts tailored applications, and manages projects after award.
Key features
- Opportunity Discovery: Uses AI-driven matching to scan funding databases and surface grant calls aligned to an organization's profile, eligibility, and project goals, reducing manual search time.
- Tailored Application Drafting: Generates draft proposals, answers to funder questions, and budgets customized to specific funder criteria and language to improve proposal relevance and coherence.
- Compliance and Eligibility Checking: Analyzes funder rules and applicant data to flag eligibility issues, required attachments, and compliance risks before submission.
- Post-Award Project Management: Tracks milestones, deliverables, budgets, and reporting deadlines for awarded projects and helps generate required progress and financial reports.
- Collaboration and Versioning: Provides shared workspaces for teams to co-author applications, review AI drafts, capture reviewer feedback, and maintain version history for submissions.
- Funder-Specific Formatting and Templates: Applies funder-specific templates, word limits, and formatting rules automatically to ensure submissions meet technical requirements.
- Automated discovery of relevant grant and public funding opportunities
- AI-assisted generation of tailored grant application content
- Templates and document generation for application submissions
- Post-approval project management and compliance tracking
- Deadline and milestone tracking for grant workflows
- Collaboration features for teams preparing applications
- Match/scoring of opportunities to organization profiles and projects
- Centralized repository for grant documentation and status
Best for
- Startup R&D Funding: Helping a tech startup discover national R&D grants, draft funder-tailored proposals, and prepare a compliant budget to increase chances of award.
- Nonprofit Program Grants: Assisting a nonprofit to identify charitable and government grants, generate application narratives from program data, and manage reporting after funding is received.
- University Research Administration: Enabling university research offices to scale pre-award support by automatically matching faculty projects to funding calls and producing draft applications for review.
- Consultancy Scaling: Allowing grant consultants to accelerate proposal throughput by using AI-generated first drafts and standardized templates across multiple clients.
- Post-Award Compliance: Tracking milestone completion and automating the creation of interim and final reports to meet funder reporting requirements and avoid penalty or clawbacks.
- Startups and SMBs searching for public grants suited to their product or R&D
- Research institutions preparing complex funding proposals
- Nonprofits applying for program and operational grants
- Grant managers coordinating multiple applications and post-award reporting
- Consultancies and advisors automating parts of proposal drafting and submission
Taste Lab
Sen Lin
Taste Lab is a Claude Code skill that turns any URL into a complete design context: design tokens plus the reasoning and trade-offs behind every choice.
Key features
- Design Map Extraction: Captures every color, font weight, spacing value, radius, and shadow with exact px/hex/ratio citations across 20 measurement categories.
- Taste DNA Inference: Derives four design principles, each with a Trigger, Decision, Reason, Evidence, and Trade-off explaining why each choice was made.
- Four-Agent Pipeline: Runs Extract, Detect Patterns, Infer Taste, and Observer stages, each reading the page through a sharper lens.
- Anti-Slop Quality Gate: A final critic stage runs anti-slop checks and validates JSON before writing output.
- Dual File Output: Writes a {domain}.md and {domain}.json that any AI agent can build from.
Best for
- Cloning Design Systems: Give an AI agent a complete, reasoned design context to rebuild a site's look and feel.
- Design Reviews: Understand the deliberate trade-offs behind a website's visual decisions.
- Agent-Assisted Frontend Work: Feed structured taste files into coding agents so they make the right call on unseen pages.