LinkedIn Post Search

Automate LinkedIn post searches, and get risk free, live, up-to-date data. Use all of the same search terms and filters you would use in a post search (e.g. keywords, date posted, sort by, author/company profiles, companies authors work at, etc.). Optionally include reactions and comments. Get a table of posts with content, author, engagement, media, and links; and filter through the table and generate additional columns with AI.

Skills

Search LinkedIn Posts

Find highly relevant LinkedIn posts using powerful search and filtering. Go beyond basic keywords by using advanced operators (AND, OR, NOT), and refine your search with filters for when the post was made, who the author is, or what company they work for. You can create highly targeted datasets of posts, and optionally include reactions and comments for deeper analysis.

Find posts from the last week where founders discuss building AI products, to gather validation insights for my accelerator project.

Get posts from the last month mentioning 'SaaS growth challenges' from people at growth-stage companies for our strategy research.

Find posts about 'AI startup funding' from the last few weeks to identify investment opportunities.

Get posts from marketing professionals discussing 'B2B lead generation' from the last month for client outreach ideas.

Find posts from tech recruiters or HR professionals mentioning 'hiring engineers' from the last week for market intelligence.

View Table

View specific rows and columns from any table, ask questions about it, and analyse it with AI. If the agent performs searches, explain which rows are good and bad to improve the search.

What types of AI products are these founders building?

Which companies are represented most?

What funding stages are mentioned?

Which specific lead gen tactics are discussed?

What job roles are being discussed?

Filter Table

Filter any table with traditional filtering (i.e. patterns like names, URLs, etc). Explain what table you want to filter, and what rows you want to keep or remove.

Keep only posts with significant engagement.

Remove all posts from people who work at large enterprises, keep only startup employees.

Keep only recently published posts.

Remove posts that don't mention specific companies or products.

Keep only posts from people with 'Founder' or 'CEO' in their title.

Filter Table with AI

Filter any table with AI filtering (i.e. reasoning, semantic understanding, etc). Explain what table you want to filter, and what rows you want to keep or remove.

Keep only those where founders share specific validation methods or customer interview insights.

Keep only those at companies that appear to be venture-backed and building B2B products, not consumer apps.

Keep only those about European AI companies raising seed or Series A funding, exclude later stages.

Keep only those discussing tactical B2B marketing challenges, not general marketing advice.

Keep only those from tech companies actively hiring for senior engineering roles.

Generate Table

Generate a new table from any table with AI. Explain what table you want to generate from, what columns you want to keep, and what new columns you want to generate.

Extract the specific validation method mentioned, target customer type, and key learning, plus generate an interview question.

Identify company stage, product category, growth indicator mentioned, and create a partnership pitch angle.

Extract company name, funding amount (if mentioned), investor names, and generate an investment thesis note.

Summarize the challenge, tactics mentioned, results (if any), and create a client outreach message.

Extract role being hired, seniority level, tech stack mentioned, and generate a recruiter pitch.