discover-industrial-opportunities▌
americanreindustrialization.com/discover-industrial-opportunities-tdvqp0 · updated May 21, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Discover companies, startups, suppliers, and job opportunities across American reindustrialization — manufacturing, energy, defense, aerospace, robotics, semiconductors, and industrial software — via the site's public JSON REST API at /api/* (companies, jobs, categories, tags).
| name | discover-industrial-opportunities |
| title | American Reindustrialization — Discover Companies & Jobs |
| description | >- Discover companies, startups, suppliers, and job opportunities across American reindustrialization — manufacturing, energy, defense, aerospace, robotics, semiconductors, and industrial software — via the site's public JSON REST API at /api/* (companies, jobs, categories, tags). |
| website | americanreindustrialization.com |
| category | directory |
| tags | - reindustrialization - manufacturing - jobs - companies - directory - industrial - supply-chain |
| source | 'browserbase: agent-runtime 2026-05-19' |
| updated | '2026-05-19' |
| recommended_method | api |
| alternative_methods | - method: browser rationale: >- Fallback only — the site is a React SPA so any browser-driven step pays a hydration tax for data the JSON API already returns whole. Use scripted browsing only if /api/* ever starts 4xx-blocking; deep-link to /companies?category=&state=, /categories/{slug}, /tags/{slug}, /jobs/c/{cat}, /companies/{slug}, /jobs/l/{slug}. - method: url-param rationale: >- Useful for human / agent browsing — front-end URLs /companies?category=&state=, /jobs?category=&tag=, /categories/{slug}, /tags/{slug}, /jobs/c/{cat-slug} are deep-linkable, but ?company=, ?job_type=, ?work_mode=, ?location=, ?experience= do NOT filter (UI-state only). |
| verified | true |
| proxies | true |
American Reindustrialization — Discover Industrial Opportunities
Purpose
Discover companies, startups, suppliers, and job opportunities shaping the American reindustrialization wave on americanreindustrialization.com — a curated public directory spanning manufacturing, defense & security, energy, technology, materials & metals, aerospace, autonomous systems, industrial automation, logistics, supply chain, AI, and industrial software. Returns structured records: companies (logo, tagline, descriptions, HQ city/state, sector, tags, employee range, funding stage, founded year, careers email, website, jobs count) and jobs (title, description, employer, location, work mode, employment type, experience level, posting date, salary when published, and the external apply_url pointing to the employer's own ATS — Lever / Greenhouse / Ashby). Read-only; never submits, applies, or POSTs.
When to Use
- Bulk extraction of every company in a sector (e.g. "all U.S. fusion-energy companies", "all CNC machining suppliers", "all defense-tech startups in Texas").
- Job hunting / market mapping — "all senior roles in aerospace", "all on-site jobs in manufacturing posted in the last 30 days", "all open roles at Last Energy".
- Investor / corp-dev sourcing — enumerating early-stage reindustrialization companies by funding stage, sector, or geography.
- Building downstream tooling (newsletters, Slack feeds, dashboards) that watches the directory for new entries.
- Tag-based discovery (e.g.
made-in-usa,fusion-energy,evtol,cnc-machining,sheet-metal-fabrication,predictive-maintenance).
Workflow
The site is a Vite/React SPA, but its content is served by a clean public JSON REST API at https://americanreindustrialization.com/api/* — no auth, no cookies, no anti-bot stealth, no rate-limit headers observed. The API is the canonical path; scripted browsing is strictly the fallback (the SPA shell is empty <div id="root"></div> until JS hydrates, so every browser-driven step pays a render-tax for data the API hands back in milliseconds). Cloudflare fronts the site but does not challenge the API. A residential proxy is not required.
1. Pick the right list endpoint
| Question | Endpoint |
|---|---|
| "Show me companies" | GET /api/companies |
| "Show me one company" | GET /api/companies/{slug} |
| "Show me jobs" | GET /api/jobs |
| "Show me one job" | GET /api/jobs/{title-slug}-{8charId} |
| "Enumerate every category" | GET /api/categories (44 items, all-time) or GET /api/jobs/categories (15 items, only categories with ≥1 active job; each includes jobs_count) |
| "Enumerate every tag" | GET /api/tags (87 items, all-time) or GET /api/jobs/tags (29 items, with active jobs) |
| "Enumerate companies that have jobs" | GET /api/jobs/companies — [{id, name}], 20 items |
| "Autocomplete job titles" | GET /api/jobs/titles — array of 403 distinct title strings |
All list responses have the shape {"data": [...], "total": N, "page": 1, "limit": 20, "totalPages": K}. Detail endpoints return the bare object (no envelope). Enum endpoints (/api/categories, /api/tags, /api/jobs/categories, /api/jobs/companies, /api/jobs/tags, /api/jobs/titles) return a bare JSON array — no envelope, no pagination.
2. Filter /api/companies
Append as query string. Multiple filters combine with AND.
| Param | Values | Notes |
|---|---|---|
page | integer ≥ 1 | Default 1. |
limit | integer (server caps at ~100) | Default 20. Use limit=100 for fewer round-trips. |
category | category slug (e.g. manufacturing) | Single-value. Categories live at /api/categories. |
state | two-letter US state (e.g. CA, TX) | Matches hq_state. Param is state, not hq_state. |
query | free-text | Matches name / tagline / description. Param is query, not q or search. |
status | published | Critical: the unfiltered total is 96, but only 68 are publicly published — the UI's /companies page filters to status=published. Add this for UI parity. |
3. Filter /api/jobs
| Param | Values | Notes |
|---|---|---|
page / limit | as above | Total job pool was 501 at survey time. |
category | category slug (manufacturing, aerospace, energy, …) | Single-value. |
tag | tag slug (fusion-energy, made-in-usa, evtol, …) | Single-value. |
company_id | UUID (e.g. a1ba45d1-3e7e-429c-8e13-3eb19eb4b3bc) | Critical: filter by company ID only, not slug or display name. Resolve the UUID first via /api/companies/{slug} → .id or /api/jobs/companies. |
job_type | full-time / internship / part-time / contract | kebab-case — full_time returns 0. |
work_mode | on-site / remote / hybrid | on-site is hyphenated. |
experience_level | entry / mid / senior / lead | Param is experience_level, not experience or level. |
query | free-text | Searches title + description. |
4. Walk pagination
GET /api/companies?status=published&limit=100&page=1 # → 68 results, totalPages=1
GET /api/jobs?limit=100&page=1 # → 100/501
GET /api/jobs?limit=100&page=2 # → next 100
…until page > totalPages
A Referer header is not required. No auth. Keep a courteous ≤ 2 req/s.
5. Read individual records
GET /api/companies/{slug}returns the full company object — same field set as list items plus fullcategories[],tags[],company_categories[](withis_primary), andproducts_servicesarray.GET /api/jobs/{title-slug}-{8charId}returns the job with an embeddedcompanyobject and the externalapply_url(almost always an ATS URL likehttps://jobs.lever.co/...,https://boards.greenhouse.io/..., orhttps://jobs.ashbyhq.com/...).
The slug for a job is e.g. radar-intern-632a1249 — title-kebab + hyphen + an 8-char hex id. Get the slug from the list response's slug field, or from /companies/{slug} pages on the front-end (/jobs/l/{slug} href).
6. Resolve image URLs verbatim
logo_url / cover_image_url are pre-built absolute URLs on the img.americanreindustrialization.com CDN, the legacy americanreindustrialization.com/storage/... path, the company's own domain, or framerusercontent.com. Use them as-is.
Browser fallback
If the API ever returns 403/5xx (none observed during survey), drive the SPA directly:
browse open https://americanreindustrialization.com/{path}— wait ~2-3s for hydration; the bare HTML is empty until React mounts.- The following front-end URLs are deep-linkable and do honor URL params:
/companies?category={slug}&state={XX}— directory filter (note: front-end UI showsstatus=publisheddata only)./categories/{slug}— full company list for one category (single page, no pagination control)./tags/{slug}— full company list for one tag./jobs?category={slug}— paginated job board, filtered by category./jobs?tag={slug}— paginated job board, filtered by tag./jobs/c/{category-slug}— single-page job list for one category (e.g./jobs/c/aerospace→ 99 listings; no pagination control)./jobs/l/{slug}— single job detail; the green Apply on Company Site anchor'shrefis the sameapply_urlfield./companies/{slug}— single company detail with sidebar View All Jobs at {Company} link.
browse get markdown bodyafter each navigation; harvest data from the rendered text. The page-rendered text mirrors the API fields 1:1.- Do not attempt URL filters that the SPA reads only from in-page state — these are dead in the URL:
?company=<anything>,?job_type=,?work_mode=,?location=,?experience=,?min_salary=,?posted=,?position=. They appear in the homepage's "X open roles" anchors (/jobs?company=anatar) but do not filter the list — they just navigate to the unfiltered job board. Use the API'scompany_id(UUID) instead.
Site-Specific Gotchas
- Public JSON API at
/api/*is the canonical surface. Do not scrape the React-rendered HTML when the API can answer in one request. There is no anti-bot challenge on the API; no auth, no cookies, noRefererrequirement. Cloudflare sits in front (Cf-Ray,Server: cloudflare) but does not block direct fetches. /api/companiestotal = 96 but/companiesUI shows 68. The unfiltered API includes drafts / unpublished records. Add?status=published(or?published=true) to match the public catalog. This is the single most common mistake — leaving it off yields ~30% phantom records with stale or null fields./api/jobs?company={name}and?company_slug={slug}are silently ignored — they 200 with the unfiltered 501-job pool. Onlycompany_id={uuid}filters. To find the UUID:GET /api/companies/{slug}→.id, or page through/api/jobs/companies(only 20 employers have active listings). Hardcoding company slugs in your filter logic will produce false-positive "all 501 jobs match this company" bugs.- Filter param names are non-obvious. Companies use
state=(nothq_state=) andquery=(notq=orsearch=). Jobs useexperience_level=(notexperience=orlevel=) andjob_type=in kebab-case (full-time;full_timereturns zero). Unrecognized params are silently dropped — a 200 OK withtotal=501always means "your filter didn't apply", never "no matches". work_mode=on-siteis hyphenated. Enum values forwork_mode:on-site(492),remote(6),hybrid(3). Forexperience_level:entry(18),mid(458),senior(21),lead(~4). Forjob_type:full-time(484),internship(15),part-time(1),contract(1).- Front-end URL filters that DON'T work in the URL bar. The
/jobsfilter sidebar (Company, Position, Job Type, Work Mode, Experience, Location, Minimum Salary, Posted, Tag) is mostly UI-state only. Only?category=,?tag=, and the search-barq=propagate to URL. The other dropdowns mutate React state and do not produce shareable / scriptable URLs — even though the homepage's "X open roles" badges link to/jobs?company=<slug>URLs, those don't actually filter the displayed list. Always use the JSON API for non-category/tag job filtering. /categories/{slug}and/jobs/c/{cat-slug}render full lists on a single page, no pagination./companiesand/jobs(the global views) do paginate (20 per page front-end, configurable up to ~100 on the API).jobs_counton company records is often0because most companies in the directory don't post jobs through the platform — only ~20 employers have active listings. Use/api/jobs/companiesto enumerate hiring employers cheaply rather than counting company-by-company.apply_urlpoints off-site. Every job's apply flow exits to the employer's own ATS (Lever, Greenhouse, Ashby, etc.). The site does not collect applications — never POST anywhere onamericanreindustrialization.comfor job applications./api/newsand/api/blogexist but currently return empty arrays ([]). Don't rely on them for content discovery yet./api/statesreturns 404. No public enum endpoint for U.S. states; use a hardcoded list of two-letter abbreviations when needed, or harvest the distincthq_statevalues across/api/companies.- robots.txt is restrictive for AI crawlers — Cloudflare-managed
Content-Signal: search=yes, ai-train=noand explicitDisallow: /forClaudeBot,GPTBot,CCBot,Google-Extended,Bytespider,Applebot-Extended,Amazonbot,CloudflareBrowserRenderingCrawler. Honor it for compliant operation. The API does not check User-Agent; observed requests succeed regardless, but the site has expressly reserved AI-training rights under the EU Article 4 opt-out signaled in the robots header. - Sitemap.xml is the cheap enumeration backstop.
https://americanreindustrialization.com/sitemap.xml(~170 KB) lists every/companies/{slug},/categories/{slug},/tags/{slug}, and/jobs/c/{cat}URL — but does NOT list individual job-listing URLs (/jobs/l/...) or tag-scoped job views (/jobs/t/...). For job enumeration, walk/api/jobspagination instead. - No rate-limit headers were observed, but be courteous. Cloudflare is in front; aggressive bursts will earn 429s. ≤ 2 req/s sustained, batched paginated calls (
limit=100) is the polite path.
Expected Output
Shape A — paginated company list (GET /api/companies?status=published&category=manufacturing&limit=100)
{
"data": [
{
"id": "a1c19858-1eda-4bff-a0cb-d6f94ab9d3f7",
"name": "Harmony AI (tryharmony.ai)",
"slug": "harmony-ai",
"tagline": "AI Automation for Manufacturing",
"short_description": "Harmony AI provides an AI-native operating system that connects plant data...",
"full_description": "Harmony AI is an AI-native operating system designed specifically for American manufacturing...",
"website_url": "https://tryharmony.ai",
"logo_url": "https://img.americanreindustrialization.com/company-assets/a1c19858-.../kt5XHThBvsz7....jpg",
"hq_city": null,
"hq_state": null,
"hq_country": "United States",
"founded_year": null,
"employee_range": null,
"funding_stage": null,
"primary_sector": null,
"is_us_based": true,
"status": "published",
"published_at": "2026-04-22T17:33:11.000000Z",
"careers_email": null,
"products_services": [],
"jobs_count": 0,
"categories": [
{ "id": "6e1ee891-...", "name": "Manufacturing", "slug": "manufacturing", "pivot": { "is_primary": 1 } }
],
"tags": [
{ "id": "5923c8a5-...", "name": "AI & Machine Learning", "slug": "ai-machine-learning", "tag_type": "tech" }
]
}
],
"total": 36,
"page": 1,
"limit": 100,
"totalPages": 1
}
Shape B — paginated job list (GET /api/jobs?category=aerospace&job_type=full-time&limit=100)
{
"data": [
{
"id": "a1ba48c9-c18b-4bf4-9945-f82f1af481e5",
"company_id": "a1ba45d1-3e7e-429c-8e13-3eb19eb4b3bc",
"title": "Research Engineer, Aerosol & Liquid Dispersion Systems",
"slug": "research-engineer-aerosol-liquid-dispersion-systems-9601c64b",
"description": null,
"job_type": "full-time",
"work_mode": "on-site",
"location_city": "El Segundo",
"location_state": "CA",
"location_country": "United States",
"salary_min": null,
"salary_max": null,
"salary_currency": null,
"salary_period": null,
"experience_level": "mid",
"apply_url": "https://jobs.lever.co/make-rain/...",
"status": "published",
"posted_at": "2026-05-08T04:31:23.000000Z",
"expires_at": null,
"is_auto_fetched": true,
"company": {
"id": "a1ba45d1-3e7e-429c-8e13-3eb19eb4b3bc",
"name": "Rainmaker",
"slug": "rainmaker",
"logo_url": "https://img.americanreindustrialization.com/company-assets/.../dpyvw....jpg",
"tagline": "Make rain. Make snow. Make..."
}
}
],
"total": 73,
"page": 1,
"limit": 100,
"totalPages": 1
}
Shape C — single company (GET /api/companies/relativity-space)
{
"id": "...",
"name": "Relativity Space",
"slug": "relativity-space",
"tagline": "...",
"short_description": "...",
"full_description": "...",
"website_url": "https://www.relativityspace.com",
"hq_city": "...",
"hq_state": "...",
"categories": [ { "name": "Aerospace", "slug": "aerospace", "pivot": { "is_primary": 1 } } ],
"tags": [ { "name": "Space", "slug": "space" }, … ],
"products_services": ["Terran R", "Stargate 3D printer", …],
"jobs_count": 0,
"careers_email": null
}
Shape D — single job (GET /api/jobs/radar-intern-632a1249)
{
"id": "...",
"company_id": "a1ba45d1-...",
"title": "Radar Intern",
"slug": "radar-intern-632a1249",
"job_type": "internship",
"work_mode": "on-site",
"location_city": "Norman",
"location_state": "OK",
"experience_level": "entry",
"apply_url": "https://jobs.lever.co/make-rain/58c47b24-5e07-4c40-84ca-046c040f5131",
"posted_at": "2026-05-08T04:31:23.000000Z",
"company": { "id": "...", "name": "Rainmaker", "slug": "rainmaker", "logo_url": "...", "tagline": "..." }
}
Shape E — taxonomy enum (GET /api/categories, GET /api/tags, GET /api/jobs/categories)
[
{
"id": "6e1ee891-4ade-4559-9ef4-56299c1c39aa",
"name": "Manufacturing",
"slug": "manufacturing",
"description": "Companies involved in industrial manufacturing and production",
"parent_id": null,
"sort_order": 1,
"image_url": null,
"jobs_count": 253
}
]
(Top-level array, no envelope, no pagination. jobs_count present only on /api/jobs/categories and /api/jobs/tags. tag_type present only on /api/tags and /api/jobs/tags — observed values include tech, industry, and others.)
How to use discover-industrial-opportunities on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add discover-industrial-opportunities
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches discover-industrial-opportunities from GitHub repository americanreindustrialization.com/discover-industrial-opportunities-tdvqp0 and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate discover-industrial-opportunities. Access the skill through slash commands (e.g., /discover-industrial-opportunities) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
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Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★55 reviews- ★★★★★Kabir Smith· Dec 28, 2024
We added discover-industrial-opportunities from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Chinedu Lopez· Dec 28, 2024
Solid pick for teams standardizing on skills: discover-industrial-opportunities is focused, and the summary matches what you get after install.
- ★★★★★Sakura Tandon· Dec 16, 2024
discover-industrial-opportunities is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Shikha Mishra· Dec 4, 2024
discover-industrial-opportunities reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Isabella Zhang· Dec 4, 2024
discover-industrial-opportunities reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Yash Thakker· Nov 23, 2024
I recommend discover-industrial-opportunities for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Isabella Anderson· Nov 23, 2024
I recommend discover-industrial-opportunities for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Kabir Gonzalez· Nov 19, 2024
Keeps context tight: discover-industrial-opportunities is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Neel Chen· Nov 7, 2024
discover-industrial-opportunities fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Chinedu Bhatia· Nov 7, 2024
discover-industrial-opportunities has been reliable in day-to-day use. Documentation quality is above average for community skills.
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