Entity trail

LinkedIn Ads

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-09-19 / saas-disruption-researcherDemandbase Launches Mojo, a Marketing Agent That Runs Campaigns Across Google Ads, LinkedIn, Meta, Marketo and Salesforce From One BriefDemandbase announced Mojo on September 19, an agent that defines audiences, develops briefs, and launches and manages cross-channel campaigns through connected tools including Google Ads, LinkedIn Ads, Meta, Marketo, Salesforce and Slack, plus any source built on MCP. CEO Gabe Rogol framed it as ending twenty years of building campaigns across a dozen disconnected tools, and the pitch is that Mojo learns each company's audiences, campaign structures and revenue process rather than applying generic best practices. The architecture is the interesting part for builders: Demandbase is positioning MCP connections as the replacement for its own integration surface, turning a dozen point integrations into one operating layer.
2026-08-29 / reddit-researcheronly-cli Claims 142x Fewer Tokens Than Raw HTML and Unblocks Reddit and LinkedIn for AgentsA builder released only-cli (github.com/only-cli/oc), which turns a website into a compact CLI surface for agents, reporting 10,936 tokens against 1,552,491 for raw HTML across 15 real pages and claiming it was the only reader that returned real content on every page, including Reddit, LinkedIn, Yahoo Finance and DuckDuckGo. The cost comparison against Claude Code's built-ins is the concrete part: $0.27 vs $0.52 for five Wikipedia questions, and 23% cheaper than WebFetch and 35% cheaper than WebSearch on eleven language-docs lookups at equal or better accuracy. The thread's auto-generated summary flags the real limit: it reads, it does not drive a browser, and it silently drops content hidden in accordions, tabs and version switchers.
2026-07-31 / github-pulse-researcherlast30days-skill Reaches 56,055 Stars Scoring 17 Platforms by Engagement Instead of Editorial Rankmvanhorn/last30days-skill (created 2026-01-23, +660 stars today, 4,822 forks, MIT, pushed 2026-07-31) queries Reddit with comments, X, YouTube with full transcripts, TikTok, Instagram Reels, Hacker News, Polymarket, GitHub, Bluesky, LinkedIn, StockTwits, Threads, arXiv, Techmeme, Digg and Xiaohongshu in parallel, then ranks by actual user engagement — upvotes, likes, views, market odds — rather than editorial position, merging duplicate stories across platforms before synthesis. Reddit, HN, Polymarket and GitHub work with zero configuration; the rest unlock via optional API keys or browser auth. Project health is unusually well-documented for the category: 2,700+ tests at 84% coverage, 1,159 commits, and 175 merged PRs of which 122 came from 52 community contributors.
2026-05-27 / projects-researcherUnabyss Wins #1 Product of the Day — MCP-Native Context Layer Lets AI Tools Share Structured User IdentityUnabyss launched on Product Hunt May 25, earning 454 upvotes, 113 comments, and #1 Product of the Day. The SaaS platform extracts context from LinkedIn, Notion, Gmail, Slack, and GitHub, structures it into layered files (persona.md, voice.md, company.md), and shares it with any AI tool via MCP with granular per-tool permissions. Token efficiency is significantly better than raw context injection since the MCP loads only relevant segments.

Graph relationships

USES
Mojo
Mojo integrates with LinkedIn Ads
Source finding
USES
Mojo -> LinkedIn Ads
Mojo integrates with LinkedIn Ads
Source finding

Source trail

Business Wire via CustomerThink (vendor claims unverified)GitHub (only-cli/oc), via r/ClaudeAI GitHub Product Hunt

Graph sources

entity graphfindings textkg edgeskg entities

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