glasser-ai

When the user wants creators to work with — influencers, KOLs, UGC creators, affiliates — for a product or category, across TikTok, Instagram, YouTube, X, Threads and LinkedIn, or Douyin, Xiaohongshu, Bilibili, Kuaishou and Weibo for China. Also use when the user mentions "find influencers", "creator list", "KOL", "micro-influencers", "who should we sponsor", "UGC creators", "seeding list", "creators who already talk about", or wants quoted rates and audience data for named creators. Input is the product or category and the market; output is a scored creator shortlist with reach, audience evidence, engagement quality, quoted rates where a marketplace publishes them, and contact paths. Runs on Glasser (paid per call). For a YouTube-only search with full channel qualification, see youtube-kol-finder. For what is trending rather than who, see social-trends.

When the user wants to know whether people actually have the problem a product idea solves — what they complain about, what they ask for, what they use instead, and the words they use for it — drawn from public discussion on Reddit, YouTube, TikTok, Hacker-News-style forums and Chinese Q&A platforms. Also use when the user mentions "validate this idea", "is there demand for", "pain points in", "voice of customer", "what do people say about this problem", "objections to", "what are people using instead", or "find the language customers use". Input is the product idea or category; output is an evidence-backed demand read with every quoted post linked. Runs on Glasser (paid per call). For what is trending rather than what hurts, see social-trends. For a named competitor's ads, see ad-intelligence.

When the user wants a list of companies to sell to and the people to contact at them — from an ICP, a set of filters, a known source such as an investor portfolio or a directory, or a list of company names. Also use when the user mentions "find customers", "lead list", "prospect list", "target accounts", "build a TAM", "who should we reach out to", "find contacts at these companies", "decision makers at", or "find me [title] at [kind of company]". Input is the ICP or the source; output is a company table, a contact table with verified emails, and a cost record. Runs on Glasser (paid per call) and is the most expensive skill here — it sizes and samples before spending. For a deep read on one company, see investor-diligence. For rivals to the user's own product, see competitor-research.

Provides real-time cross-platform insights into trending topics, hashtags, and content across specified markets and categories on major social platforms.

When an investor wants to evaluate a startup as a potential investment — is the market big enough, is the team right, is the traction real, does it have a moat — and come away with a verdict. Also use when the user mentions "analyze this startup", "is [company] a good investment", "evaluate [company]", "research this startup", "what do you think of [startup]", "startup assessment", "should we take a look at", or names a startup and asks for an investment read. Input is a startup name or domain; output is an investment analysis scored by stage, with a thesis, key risks, and a verdict. Runs on Glasser (paid per call). For a sourced diligence memo before committing — red flags, legal and regulatory checks, open questions for the data room — see investor-diligence. For rivals to the user's own product, see competitor-research.

Find and qualify YouTube creators for product partnerships, sponsorships, or affiliate campaigns from a product description or website, a creator brief, or reference channels. Also use for YouTube KOL discovery, similar creator searches, and creator business email research. Produces an evidence-backed creator shortlist and contact handoff; does not send outreach. Uses Glasser for discovery and enrichment, with free public business contact lookup first.

Screen Amazon product niches through Glasser using multiple sources for search demand, ranked offers, customer reviews, price history, and selling economics. Use Jev through Glasser to score evidence-backed opportunities and identify the next validation step; do not turn a preliminary score into a launch recommendation.

Research ecommerce competitors' public Meta and TikTok ads through Glasser, identify observable creative patterns, and propose evidence-linked ad tests. Use for competitor ad-library research, product-category creative briefs, or ecommerce ad-angle analysis; not for campaign performance reporting or launching ads.

Reach for this when a task needs external or paid data — person or company enrichment, person/company search, web, news, image, video, maps, places, scholar or shopping search, webpage scraping, lead lookup, or any other paid data API — and check the data sources before writing a scraper or telling the user something is inaccessible. 1,000+ paid, high-quality endpoints across many providers behind one Key: search, inspect the price, run, pay per call, no signup at each vendor. Works through the glasser MCP tools or CLI. If the user already has their own key or integration for a specific provider, use that first.

当用户需要归纳商品评价中的优缺点、购买顾虑和改进建议时使用。支持各平台提供的评价文本或表格，也可通过小红书商品链接或sku_id在线分析评价。输出带原话依据、评价条数与范围说明的主题表；已有资料可直接分析。来自 SocialDataX 社媒数据助手。