From the field
What people actually struggle with
Of the ~210 Reddit and X posts read in August 2026 roughly half were on the job, the densest corpus behind any of these pages, and five vendor clusters were excluded, including one launch story reposted to three subreddits with the AI tool's name swapped each time. These five are people fighting the boards.
The boards fight back
“Since when did Indeed start injecting invisible fake job cards as a scraper honeypot?” X, 189 likes
What this page can do about it: Which is why there is no Indeed row here and this page says so in its first paragraph. The LinkedIn rows exist because a provider absorbs that fight on its side; on Indeed nobody in the catalog does.
The filters are the problem, not the data
“I hate LinkedIn and Indeed. Filters don't work well, search experience is terrible, and the sites are contaminated with so many offshore agencies.” r/findapath, 745 points
What this page can do about it: Rows fix the filter half: once the postings are data, your agent filters them by whatever rule you like. The contamination half arrives with the data, and the agent is the filter for that too.
The date is the field nobody trusts
“Not being able to trust the date posted of any job. Being shown too many irrelevant jobs.” r/leetcode, 401 points
What this page can do about it: No row here fixes the date; it returns what the platform shows. What a daily pull gives you is your own first seen date, which is the only one you can trust, and that costs a tenth of a cent a posting.
Half the postings are gone in a month
“Half are gone by day 28, and almost all of that drop happens in a single week.” r/jobsearchhacks, 376 points
What this page can do about it: That poster tracked over a million postings a day to learn it, and the method is the point: a repeated pull is what turns postings into a signal. The rows here make the pull cheap; the tracking is the agent's job.
The old way was cheaper and about as good
“Everyone in this community is bragging about AI-powered automations or seemingly simple workflows that call overpriced APIs to parse a page.” r/n8n, 307 points
What this page can do about it: Fair, and a tenth of a cent per posting is the answer to overpriced rather than to free. The self written scraper wins until LinkedIn changes something; the row wins the day after.
