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Company intel

You got a screen on Thursday. It's Tuesday. You should be researching the company. Instead you're on their careers page, ten tabs deep, trying to remember whether they took a Series C or a Series D and whether the CEO's last interview had anything useful in it.

Company intel does that research for you. The moment a role lands in your pipeline — from the extension, from Job Search, or from manual entry — LightningHire assembles an employer brief tailored to job-seeker questions. Culture signals. Open roles beyond the one you applied to. Recent news. Tech stack. Interview tips specific to this company. All in one place, all before the screen.

See a company brief

Open any application in your pipeline and click Company intel in the sidebar.

What a company brief covers​

Every brief is organized into sections. Not every section is available for every company — smaller or newer companies have thinner public footprints — but this is the full picture when it exists.

Overview​

  • Company name, HQ location, founding year.
  • Size (headcount range).
  • Industry and sub-industry.
  • One-paragraph description of what they actually do, written plainly.

Open roles​

Beyond the role you saved, what else is the company hiring for? Useful for two reasons: it signals where the company is investing (growing the sales team, hiring engineers, building a new product line), and it gives you a backup path if your current loop doesn't convert.

Culture signals​

Pulled from public sources — Glassdoor patterns, employee-authored blog posts, engineering handbooks, LinkedIn posts from current staff. The brief surfaces recurring themes, not cherry-picked quotes.

Examples of what shows up here:

  • Remote posture (fully remote, hybrid with required days, office-first).
  • Work-life norms (async communication, on-call expectations).
  • Promotion patterns and tenure.
  • Recurring complaints worth weighing before accepting an offer.
Culture signals are patterns, not verdicts

One angry Glassdoor review doesn't make it into the brief. Twenty reviews saying the same thing do. The AI looks for consensus, not outliers.

Recent news​

News from the last 90 days — funding, product launches, leadership changes, layoffs, acquisitions. Critical for two reasons: it's interview small talk that actually lands, and it flags risk (a company that announced layoffs in your target division last week is a different bet than a company scaling aggressively).

Tech stack​

What the company builds with, when discoverable. Pulled from job postings, engineering blogs, public repositories, and conference talks. Useful for tailoring your resume and for technical interviews.

Interview tips​

Specific to this company when signal exists — Glassdoor interview reports, engineering blog posts on their loop structure, public conference talks about their hiring philosophy. If the company publishes its interview rubric (some do), it's summarized here.

Key people​

Named leaders, when public. Founders, hiring manager for your role (if you've identified them), relevant VPs. The brief links their LinkedIn, recent posts, and any public talks.

How briefs are generated​

When you save a job, LightningHire checks whether a brief already exists for that company. If it does — because you or another user researched it recently — the cached brief surfaces immediately. If not, the AI assembles one from public sources in the background.

A brief typically takes under a minute to generate. You'll see a "researching…" state, then the completed brief populates. You can refresh an older brief at any time; news and open-roles sections go stale fastest and are worth refreshing before a screen.

Public sources only

Company intel is built from public information — company websites, news articles, public social posts, open job listings, public engineering blogs. LightningHire doesn't scrape private systems or access anything behind a login.

Where intel surfaces in the app​

Company intel isn't a standalone page you have to remember to visit. It appears wherever context helps:

  • Pipeline detail page — every application card has an intel section.
  • Mock interview prep — when you run a mock for a role, the company brief informs question generation (a company known for system-design deep dives will get a system-design mock by default).
  • Cover letter drafting — the brief feeds the cover letter generator so the AI references real company context, not generic language.
  • Networking outreach — when you draft a LinkedIn message to someone at the company, the brief provides shared context the AI can reference.
  • Salary negotiation — compensation benchmarks factor in company stage, size, and funding from the brief.
  • Interview debrief — post-interview, the brief gives the post-mortem engine what it needs to suggest what to ask next round.

Using intel before a screen​

A 20-minute prep routine, built around the brief:

  1. Read Overview and Recent news first. Five minutes. These are the two areas an interviewer is most likely to test as small talk.
  2. Scan Open roles. Is your role part of a broader hiring push? That's usually a good sign — and a good question ("I noticed you're hiring across the platform team — what's driving that growth?").
  3. Skim Culture signals. Pick one or two points to probe in the conversation. Not "I read on Glassdoor…" — reframe as "How does the team handle async communication?"
  4. If technical: review Tech stack. Refresh your memory on any technology mentioned that you'll claim on your resume.
  5. Use Interview tips as a framework. If the company is known for values-based behavioral rounds, bias your prep toward STAR stories aligned to their values.

Managing briefs​

Refreshing a stale brief​

Any brief older than 30 days shows a "refresh" button. One click regenerates the news and open-roles sections. Culture and tech stack refresh less often since they change more slowly.

Requesting intel for a company not in your pipeline​

The Companies directory shows every employer in your pipeline plus companies you've explicitly researched. You can request intel for any company — useful for pre-application research. Just search, and if the brief doesn't exist, LightningHire generates it.

What if the intel is wrong?​

Public sources are incomplete and sometimes outdated. If you see a factual error (wrong HQ, wrong CEO, wrong funding round), flag it from the brief — the AI re-validates against fresh sources.

Intel and the pipeline​

Every application card links to the company brief. When the company already has a brief from a previous application (yours or cached from another user's research), your new application picks it up instantly. No wait. No duplicate research cost.

This is the compounding effect: the more you use LightningHire, the more context is ready before you need it.