last30days vs siift: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of last30days and siift — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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last30days
mvanhorn
An AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web, then synthesizes a scored, grounded brief.
Key features
- Multi-Source Search: Searches Reddit, Hacker News, X, YouTube, TikTok, Polymarket, and the web in parallel.
- Engagement Scoring: Ranks results by upvotes, likes, transcripts, and real-money Polymarket odds instead of editorial picks.
- AI Judge Synthesis: An agent synthesizes all sources into a single grounded brief.
- Broad Host Support: Installs in Claude Code, Codex, Cursor, Copilot, Gemini CLI, and 50+ Agent Skills hosts.
- Zero-Config Start: Reddit, HN, Polymarket, and GitHub work immediately with no setup.
- Setup Wizard: Unlocks X, YouTube, and TikTok sources in about 30 seconds.
Best for
- Trend Research: Quickly understand what people are saying about a topic across social platforms.
- Market Sentiment: Combine social engagement with Polymarket odds to gauge real sentiment.
- Content Discovery: Surface the most-engaged posts and videos on a subject.
- Competitive Intelligence: Track recent discussion of a product or company across communities.
- Briefing Generation: Produce a single grounded summary for a question instead of manual searching.
siift
siift
An agentic AI operating system that helps founders map, validate and execute business strategy on one intelligent canvas.
Key features
- Intelligent Business Canvas: A visual workspace that maps ideas, assumptions, actions and results into decision-ready filters so the whole business can be seen at once.
- Living Memory System: A scalable agentic memory that learns as the business evolves and keeps context aligned across tools, data and teammates.
- AI-Scored Validation: Automated, continuous research that grades assumptions into evidence so founders know what is validated and what is still risky.
- Five-Stage Execution Loop: Guided progression through Ideate, Validate, Build, Go To Market and Scale, each with its own AI-driven workflow.
- Safe Stack Automations: Human-in-the-loop actions across 80+ popular applications so approved work executes without leaving the canvas.
- Shareable Workspaces: Collaborative views that let teammates, advisors and other stakeholders work from the same strategy context.
- Proactive Next-Step Guidance: Personalized, iterative advice that surfaces the highest-leverage action rather than a generic checklist.
- Credit-Based AI Usage: Monthly request credits scaled by plan and weighted by task complexity, with unlimited projects even on the free tier.
Best for
- Idea Validation: De-risking a new business concept by turning founder assumptions into automatically researched, scored evidence before building.
- Strategy Mapping: Turning a cloud of unstructured ideas into a visual mind-map that exposes blindspots across the business model.
- Go-To-Market Planning: Iterating on sales and marketing with an AI-native loop that tests which channels actually produce revenue.
- Product Prioritization: Helping product leaders decide what to build next based on verified market opportunities rather than intuition.
- Scaling Diagnostics: Systematizing an existing business to surface its current growth constraints and reverse-engineer fixes.
- Advisor Collaboration: Sharing a single live strategy workspace with co-founders, advisors and investors instead of static decks.
