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Make a market research report
Turn LinkedIn posts into market research
The only feed where the person complaining has a job title attached.
Free to try, no card. Your LinkedIn post opens in Ancher.
Full post bodyAuthor and their roleAttached images and documents
Kept in parts
Every one of these stays separately addressable instead of collapsing into one block of text.
Market definitionDemand signalsPlayersPricing
Market research report
A structured read on a market: who is in it, what buyers say, how it is priced, where the gaps are.
Every other social source gives you an anonymous complaint. Here the person describing the problem states what they do and where they work, which means the same complaint can be segmented by role, by company size, and by whether the speaker is the buyer or the user. Ancher counts complaints by distinct author, keeps pricing seen in slides with the post's date, and states that it contains no sizing.
The honest version
Segmentable complaints are what this source has that no other social feed does
On any other network a recurring complaint is one undifferentiated signal. Here you can see that the people raising it are all heads of operations at companies past a certain size, and that the people dismissing it are all founders at smaller ones. That distinction is the difference between a market signal and noise, and it is free.
One post, at slide 9/12, read two ways.Illustrative. The figure is invented; the gap it falls into is not.
Every ops lead I talk to has the same problem and nobody is solving it —
On slide 9 of the carousel — not readThe specific never reaches the draft
Market research report
On slide 9 of the carousel
6 tools, 3 of them overlapping
from slide 9/12
Lands in the draft, with its timecode
- Complaints are grouped by the author's stated role, so a signal can be traced to a segment.
- Reactions are counted by distinct author and never weighted, because one viral post is not demand.
- Prices seen in carousel slides keep the post's date, because a pricing slide from last year is not pricing.
What comes out
Market research report, section by section
A structured read on a market: who is in it, what buyers say, how it is priced, where the gaps are.
Market definition
The market as the posters describe it, in the words practitioners use rather than the words vendors do.
Demand signals
Recurring complaints grouped by the author's stated role, counted by distinct person.
Players
Products named, split by whether the author used one or only mentioned it.
Pricing
Prices seen in slides, each with the date of the post.
Opportunities
Complaints recurring across roles that no named product answers.
LinkedIn-to-market-research prompt
The link on its own gets a summary. This is the instruction that produces the 5 sections above, in that order, with the rules that keep them honest. Paste it with your LinkedIn posts — in Ancher, or in whatever assistant you already use.
Build market research from these posts. (1) Define the market in the posters' own words. (2) Group recurring complaints by the author's stated role and count by distinct person, never weighted by reactions. (3) Name every product, marking used or mentioned. (4) Record prices from carousel slides with the post date. (5) List gaps nobody answers. State on the face of the report that it contains no sizing and that comment threads were not captured.
The detail, if you want it
How each part of a LinkedIn post becomes a section
| From the LinkedIn post | Into | Why |
|---|---|---|
| Author and their role | Demand signals | The stated job title turns an undifferentiated complaint into a segmented one, which is this source's whole advantage. |
| Reactions and comments | Demand signals | In a professional feed, reaction volume tracks what practitioners recognise as a real problem rather than what entertained them. |
| Attached images and documents | Pricing | Pricing and tool stacks appear in carousel slides, which a post-text scrape returns nothing for. |
| Linked pages | Players | Which product a poster linked shows what they actually opened, as against what they named in passing. |
| Full post body | Market definition | The full body is where the problem gets set up before any product is named, and that setup is the market in a buyer's own terms. |
Everything Ancher keeps from a LinkedIn post
Full post body
LinkedIn truncates behind See more in the feed; the saved copy is the whole thing.
Author and their role
On LinkedIn the stated job title is the single most useful piece of context for judging a claim.
Attached images and documents
Carousel PDFs and slides carry the substance while the post text carries the hook.
Reactions and comments
In a professional feed, engagement tracks what practitioners recognise as a real problem.
Linked pages
Posts that link out to a report or a product page give you the primary source to check.
The four steps
- Add the LinkedIn post. Paste the post or article URL, including an lnkd.in short link. Ancher resolves it, then keeps the body, the author, attached media, and the reaction counts as one source.
- Nothing gets flattened. Full post body, author and their role, attached images and documents, reactions and comments, linked pages stay separately addressable instead of collapsing into one block of text.
- Ask for a market research report. Ancher fills market definition, demand signals, players, pricing, opportunities using the mapping above, not a generic summary pass.
- Check it before you use it. Every specific keeps a link back to where it came from in the LinkedIn post, so a claim can be verified without reopening the source.
Where this goes wrong
- This feed skews to people who post about their work, which is a specific and career-motivated subset of any profession. It is not your buyer base.
- Comments are not captured, so the pushback — often from the exact segment that disagrees — is missing from every signal here.
- Stated job titles are self-reported and frequently aspirational. Treat the segment as claimed rather than verified.
Questions people ask
Can this size a market?
No, and the report says so on its face. It gives you segmented vocabulary and segmented complaints, which is what positioning needs. Sizing requires a source that knows how many buyers exist, and a feed does not.
What makes LinkedIn better than other social sources here?
The job title. Everywhere else a complaint is anonymous; here you can see whether the people raising it are the buyer, the user, or someone selling an alternative — and that distinction changes what the signal means.
How many posts before this means anything?
Enough that the same complaint appears from people at different companies in the same role. Recurrence across one company is a team problem; recurrence across a role is a market.
Bring your own LinkedIn posts
Everything you save lives in one workspace, so the market research report is built from your sources — not from a model's memory of the internet.
Open Ancher →Not a LinkedIn post? The same market research report also comes from YouTube video, PDF, X thread.