Greenhouse

Greenhouse AI

Greenhouse AI

Greenhouse AI

Greenhouse AI

Greenhouse AI

Greenhouse AI

Greenhouse AI

Greenhouse AI

Greenhouse AI

Greenhouse AI

Built a real multi-file tool with Claude over a week. The repo, the division of labor, and the bugs we hit

Built a job-tracking tool over a few sessions with Claude and I'm sharing the repo and what the collaboration actually looked like Quick backstory: I've been looking for a new job recently and as part of that I'd been manually checking ~80 companies for open roles every morning, which got unmanageable fast. Last week I decided to automate it, figured it'd be a quick script, and predictably it turned into a whole thing. The result is RoleDar, an open-source tool that checks companies for new roles and reports just what's changed since the last run: https://github.com/dalecook/roledar What I actually wanted to share here is how it got built, since "I made a thing with Claude" posts can sometimes be light on the how. Setup: Claude Opus 4.7 in the regular chat interface (not the API), using the file-creation/code tools so it could write and test actual files rather than just print code at me. It was spread across several sessions over about a week, not one heroic prompt. I didn't use Claude Code because I thought it'd just be a quick script and once I was in the weeds I didn't want to switch. Division of labor was pretty clear in retrospect. I made the architecture and judgment calls, hit the ATS APIs directly (Greenhouse, Lever, Ashby, etc.) instead of scraping HTML, make it a delta reporter that only tells you what changed, and one I'm oddly proud of: "the cron schedule is the only gate, do no DST cleverness, let the user own their timezone." Claude did most of the implementation grind and basically all of the documentation, and was good at catching things I'd have missed and bad at others. The honest part is that it was not frictionless, partly my fault because I'm not great with git, but the friction is the useful bit: We lost real time to a GitHub footgun: scheduled (cron) workflows don't run on a private repo on the free plan. Manual runs work fine, so it looks like your code is broken when actually GitHub is just silently not firing the schedule. Claude initially had me chasing the wrong fix before we landed on it. (This is now a prominent warning in the README so nobody else burns an afternoon on it.) A subtler bug: the workflow committed state back to the repo with git diff --quiet to check for changes, which silently misses untracked files, so brand-new state files never got committed and every run thought everything was new. Classic "works until it doesn't." Plus the usual Windows-git line-ending fights and one beautiful git commit "message" (no -m) that silently did nothing. Totally my fault, Claude caught it quickly once I admitted that I was stumped. Where Claude was genuinely strong: keeping a large multi-file project coherent across sessions, writing documentation I'd never have had the patience for, and being a good rubber duck for design decisions as it'd push back when I asked it to, which I leaned on. Net: I made every real decision, Claude did a lot of the typing and caught a lot of bugs, and we both occasionally led each other down a wrong path before backing out. Felt less like "AI built it" and more like pairing with a fast, tireless junior who occasionally has senior instincts. Happy to talk about how the workflow went, and genuinely curious how others are using Claude for projects around this size, the multi-session, real-repo stuff. submitted by /u/letsbesober [link] [comments]

I used Claude AI to build an $86 million underground bunker bible. I have autism. This is my happy doc.

It all started with the floor plan of a real, existing Cold War AT&T Long Lines underground hardened relay station. 54,000 sq ft across three underground levels, although I took editorial decision making to move it to a ridge in rural West Virginia, I kept its blast-rating, which was set to survive a 20 megaton airburst at 2.5 miles. That was the seed. Full scale prepper autism did the rest. It has since morphed into 3 spreadsheets — 86 tabs total: • A food inventory across 20 categories tracking every freeze-dried and #10-can product I can find — ancient grains, heirloom legumes, 7 pasta cuts, dehydrated everything, shelf-stable cheese, the works • A supply inventory with 3,466 line items across 36 categories — water systems, medical, dental, pharmacy, livestock, food production, barter metals, recreation, and yes, a full pest control and IPM tab • A 30-section infrastructure specification with every system in the building engineered out I fed it 150+ product manuals and parts order forms. The generator fleet alone is 13 units — 10× Cummins C150N6 propane-primary, a C500N6 500 kW surge unit, and 2× diesel emergency fallback — all Cummins for parts commonality. Battery bank is 4,500 kWh LFP across 10 named banks (A through J, each with a designated role). There’s a 400,000 gallon underground propane farm across 40 ASME tanks in 8 clusters — I learned the exact burial incline and setback distance required to keep groundwater clean if a tank lets go. 120,000 gallons of diesel backup. 88 kW of solar. A 1,000,000-gallon internal water reserve fed by a 300-ft artesian well. Propane endurance: ~30 years normal ops with solar. Sealed-mode runs 8 to 4.5 years depending on scenario. I actually set up a real LLC (online, $99) just to get access to US Foods and Sysco order forms so I could upload real commercial pricing and stock the food tabs more accurately. My original “what would I do if I won $10 million” thought experiment is now an $86,200,497 projected build cost. That number is real. It comes from 24 budget sections with make/model line items, freight, install, and commissioning costs for everything from the Kubota K-Series MBR wastewater trains to the American Safe Room blast doors (14 of them, 50+ psi NBC/EMP-rated, Kaba Mas X-10 cipher locks) to the surface greenhouse. Claude turns vague ideas into engineering-grade detail — cross-references, failure modes, zone-specific storage rules, propane endurance by operating scenario, spare parts matrices. It’s like having a tireless survival engineer who genuinely loves spreadsheets. I’ll say “scan all sheets row by row for any item that lacks a minimum stock level” and it just… does it. Thoroughly. Every time. No complaints. So much of this is typed stimming. I’ve had exhaustive conversations with my psychologist about it — she’s aware, but not alarmed, and honestly the resulting digital bunker bible is scarily comprehensive. It even has a cover tab now. Black and amber, Courier New, classified-document aesthetic. Because of course it does. What’s the most unhinged rabbit hole you’ve gone down with AI? submitted by /u/Unable_Internet4626 [link] [comments]

Open AI going the Palantair route?

submitted by /u/Gullible-Angle4206 [link] [comments]

I made a 0 token free job scrapper after using Claude Pro coding for a day!

After 2 weeks of using linkedin manually I lost it! Then I thought I caught a break when I found a method to use AI to find jobs, only to learn it costs so much in tokens! Here is a FREE, 0 TOKEN Job Scrapper! Open sourced! What it is: Just like AI scrappers but without the costs! 0 Tokens, No AI, same results! A fully local job pipeline that runs from your terminal. You answer a 2 minute setup wizard, it scrapes LinkedIn, Indeed, Greenhouse, Lever, Ashby, Himalayas and more, then scores every listing 1 to 10 against your actual resume. A dashboard opens at localhost:3000 with everything ranked and explained. Built with Claude Code! How the scoring works: It reads your resume as a docx file and extracts your skills, target titles, industries and salary. Every job gets evaluated across title match, skill overlap, industry fit, location, and salary range. Each card shows you the pros on one side and the gaps on the other so you know exactly what you are walking into before you click apply. What is in the repo: Resume parser that extracts skills and titles automatically from your docx Lite mode (7 queries, done in under 10 minutes) and Pro mode (31 queries, full sweep) Smart deduplication so the same job posted on 5 boards only shows up once Semantic skill matching so "managed teams" counts as "team leadership" and Salesforce counts as CRM Salary floor filter, region filter, niche industry blocker Per job notes that persist between runs, applied tracking, PDF and Excel export One click Windows installer, no admin rights needed, auto installs Node and Python Important: This is not a spray and pray tool. The whole point of the scoring system is to surface the 8 real matches out of 167 listings so you spend your energy on applications that actually make sense. Review before you apply. Free, MIT licensed, no tokens, no API keys, nothing leaves your machine. github.com/malqouqa92/Job-Tracker-Lite submitted by /u/Kindly-Plastic3553 [link] [comments]

I built an MCP server with 175 tools that turns Claude into a full recruiting ops layer for Greenhouse

Why I built this: I work in recruiting and spend a lot of time in Greenhouse doing repetitive work, pulling pipeline reports, checking who needs follow-up, running the same searches over and over. When MCP came out I realised I could connect Claude directly to our ATS and have it handle the tedious stuff through conversation instead of clicks. Most existing Greenhouse MCP servers just mirror the API 1:1, which isn't that useful, you still need to know which endpoints to call and in what order. So I built something designed around how recruiters actually work. How it works: It's a Python MCP server with 175 tools organized into role-based profiles (full, recruiter, read-only) so you can scope what Claude can actually do based on who's using it. The key design decision was composite workflow tools, instead of making Claude chain together a dozen API calls, there are single tools for things like pipeline views, source effectiveness analysis, time-to-hire metrics, and candidate search. You can say "show me the pipeline for our Senior Engineer role" or "what are our conversion rates by stage" and it just works. The server handles pagination, rate limiting, and data aggregation internally so the model doesn't have to. A few things that might be interesting to folks here: Recruiter profile (121 tools) is designed for day-to-day use, pipeline management, candidate notes, scheduling interviews, bulk actions Read-only profile (97 tools) is good for hiring managers who should see data but not modify anything Works with Claude Desktop, Claude Code, and Cursor Bulk operations like "reject everything inactive for 30+ days" with a single prompt It's MIT licensed and on PyPI: https://github.com/benmonopoli/open-greenhouse-mcp What's next: Using the MCP for actual sourcing workflows having Claude read through resumes and application data to pick out keywords, skills, tenure, seniority, past companies, and other signals that recruiters and sourcers care about. The goal is to resurface candidates already in your Greenhouse who match what you're looking for now, without manually scrolling through hundreds of profiles Working on simplifying metrics and reporting so the data that matters to recruiters and hiring managers is easier to pull without building custom reports. Curious what other MCP servers people are combining this kind of thing with. I've been running it alongside file system tools and it's been surprisingly useful for generating hiring reports and managing bulk actions saving a lot of time. submitted by /u/Fit_Confidence3900 [link] [comments]

Question for the devs in this community.

I'm a biologist working in agriculture. This year, I started the season intensively with Claude to optimize my work. Among other things, I had Claude create a cost tracker and a greenhouse data collection app for me. It was a quick and dirty job. It works well via my Claude account with Excel and JSON export functions. But of course, it's neither professional nor stable. It is more of an experiment. How much would it cost (approximately) to have the app professionally programmed at the end of the season after testing and optimization with practical feedback? I'm not looking for specific figures, but I just want to get a sense of whether it's worth thinking about it or whether I should stick with the quick and dirty solution. Is it possible as a noob to work with claude code and then just pay a dev to check and debug or is this completely unrealistic? submitted by /u/Otherwise_Pear_2472 [link] [comments]

JobDeck: AI that tells you which jobs NOT to apply to

https://i.redd.it/xdcllo841zug1.gif Most job search tools push you to apply to more jobs. I built JobDeck to do the opposite it filters out ~90% of listings and tells you which ones are actually worth your time. Apply to 10 jobs like a sniper, not 500 like a bot. What it does: • Scans hundreds of job postings across Greenhouse, Lever, and Ashby • Scores each job across multiple dimensions (skills, experience, comp, location) • Shows why a job is a match or not skills matched, gaps, red flags • Generates tailored resumes + application answers for high-fit roles • Tracks your pipeline in one dashboard The key idea: This is not a “spray and pray” tool. It’s a decision layer that helps you focus only on high-quality applications. Built on Claude Code (uses your existing subscription). Local first no accounts, no cloud sync, no shared data. Forked from santifer/career-ops, with a web dashboard, multi-ATS support, and batch processing. → https://github.com/akshaykumar94/jobdeck Would love feedback especially if this matches how you approach job search. submitted by /u/thejackninja [link] [comments]

Using agent to automatically upload a file from computer

I am using Claude Cowork to create an agent that automates my job applications in Linkedin. The agent does Easy Apply roles easily as the agent does not have to leave Linkedin. I am having an issue where the job role takes user out of Linkedin to an external job board like Greenhouse or company career page. There is always a mandatory requirement to upload CV via a file picker. This is the step that I haven't been able to automate with the agent, it says it does not have permissions to view local files on my computer automatically and upload them. Does someone have a solution as this is a pretty common use case to upload a file from local computer. submitted by /u/zackzubair [link] [comments]

I've given Claude technical control over a 1000 square meter greenhouse...

Theoretically... in practice, I do everything myself (for now), but I receive shopping lists and tasks for data collection and fertilization, which I follow (more or less). I know this is a rather unusual user case for this sub, but I wanted to show it anyway (especially because Claude started building apps for our project). So yes... I'm farming with Claude... not data, but vegetables. And quite intensively at that. Aside from optimizing data collection, brainstorming, paper research, and making really helpful apps Claude is incredibly funny. And that's exactly my sweet spot. I want to live my life. And AI shouldn't replace my work, but rather make it more enjoyable and better. Therefore, I'm making Claude a part of it and allowing him to be a subject in my world. I know this is frowned upon, but it makes my life more fun and colorful, so I do it with the conviction of a biologist who is aware that tools have always shaped human evolution. And Claude is crushing this work so far. If anyone is interested, I (and Claude) write regularly about the project and what's happening. https://bitsbeds.substack.com/ submitted by /u/Otherwise_Pear_2472 [link] [comments]

I built a 9-command job search automation system using Claude Code slash commands - open sourced it.

I got laid off on March 2nd. Within 30 minutes I was designing this. Two days later it found the job I'm interviewing for tomorrow. hire-me-agents is a set of 9 Claude Code slash commands (~3,200 lines of prompt architecture) that automate the entire job search pipeline. No application code — just markdown files orchestrating Claude Code. What it does: - /find-me-a-job spawns 3-5 parallel Task agents, each searching different job sources (HN Who's Hiring, We Work Remotely, Google Jobs, etc). They score every match against a 6-dimension rubric and detect which ATS platform each listing uses (Greenhouse vs Workday vs Lever — each gets a different keyword strategy). For every qualifying job, the system generates a tailored resume with ATS-optimized keywords, a cover letter that mirrors the listing's language, full job details, and application instructions. Everything lands in a structured FINAL-REPORT.md with prioritized recommendations. - /interview-prep does live company research, predicts interview questions with STAR-format answers from your actual resume, then runs interactive mock interviews with real-time scoring. - /job-stats generates your weekly unemployment certification data with company address lookups — nobody else builds this but it's incredibly useful if you're filing Across 11 runs it has scanned ~2,900 listings, filtered 96% noise, and surfaced 126 qualified matches — each with its own tailored resume, cover letter, and application package ready to submit. The whole system is multi-candidate — you can run searches for multiple people with isolated workspaces. Repo: https://github.com/dominiceloe/hire-me-agents Happy to answer questions about the architecture or how the multi-agent coordination works. If you're job searching and can't get Claude Code running, DM me — I may be able to help. submitted by /u/Gullible-Low-6067 [link] [comments]

DeBriefed 6 March 2026: Iran energy crisis

W*elcome to Carbon Brief’s DeBriefed.* *An essential guide to the week’s key developments relating to climate change.* # **This week** ### **Energy crisis** **ENERGY SPIKE:** US-Israeli attacks on Iran and subsequent counterattacks across the Middle East have sent energy prices “soaring”, according to [Reuters](https://www.reuters.com/business/energy/global-energy-costs-soar-iran-crisis-disrupts-shipping-oil-gas-production-2026-03-03/). The newswire reported that the region “accounts for just under a third of global oil production and almost a fifth of gas”. The [Guardian](https://www.theguardian.com/world/2026/mar/02/iran-strait-of-hormuz-oil-gas-visualized?) noted that shipping traffic through the strait of Hormuz, which normally ferries 20% of the world’s oil, “all but ground to a halt”. The [Financial Times](https://www.ft.com/content/dac7a77d-e0f4-4f52-a3d4-55b145e67347) reported that attacks by Iran on Middle East energy facilities – notably in Qatar – triggered the “biggest rise in gas prices since Russia’s full-scale invasion of Ukraine”. **‘RISK’ AND ‘BENEFITS’:** [Bloomberg](https://www.bloomberg.com/news/articles/2026-03-03/global-diesel-prices-surge-higher-as-iran-war-disrupts-supplies) reported on increases in diesel prices in Europe and the US, speculating that rising fuel costs could be “a risk for president Donald Trump”. US gas producers are “poised to benefit from the big disruption in global supply”, according to [CNBC](https://www.cnbc.com/2026/03/03/us-natural-gas-lng-qatar-iran-war.html). Indian government sources told the [Economic Times](https://pdpwbj.clicks.mlsend.com/tl/c/eyJ2Ijoie1wiYVwiOjI0OTYxNyxcImxcIjoxODEwMDA5MzYwMDg3MTM4MjQsXCJyXCI6MTgxMDAwOTQ5MjYxNjY1ODA5fSIsInMiOiI4N2E5OWQ3ZTZiNDg0OTRlIn0) that Russia is prepared to “fulfil India’s energy demands”. [China Daily](https://www.chinadaily.com.cn/a/202603/03/WS69a64540a310d6866eb3b4a2.html) quoted experts who said “China’s energy security remains fundamentally unshaken”, thanks to “emergency stockpiles and a wide array of import channels”. **‘ESSENTIAL’ RENEWABLES:** Energy analysts said governments should cut their fossil-fuel reliance by investing in renewables, “rather than just seeking non-Gulf oil and gas suppliers”, reported [Climate Home News](https://www.climatechangenews.com/2026/03/04/gulf-oil-and-gas-crisis-sparks-calls-for-renewable-invesment). This message was echoed by UK business secretary Peter Kyle, who said “doubling down on renewables” was “essential” amid “regional instability”, according to the [Daily Telegraph](https://www.telegraph.co.uk/business/2026/03/03/net-zero-answer-middle-east-energy-crisis/). ### **China’s climate plan** **PEAK COAL?:** China has set out its next “five-year plan” at the annual “[two sessions](https://pdpwbj.clicks.mlsend.com/td/cl/eyJ2Ijoie1wiYVwiOjI0OTYxNyxcImxcIjoxODEwOTE4NDc3Nzc1NTIyNDAsXCJyXCI6MTgxMDkxODYxODA4NTQ2OTgyfSIsInMiOiIzZDZmMjQyY2JiMmIzNTM3In0)” meeting of the National People’s Congress, including its climate strategy out to 2030, according to the Hong Kong-based [South China Morning Post](https://www.scmp.com/economy/china-economy/article/3345525/china-step-tech-energy-and-decarbonisation-efforts-next-5-year-plan). The plan called for China to cut its carbon emissions per unit of gross domestic product (GDP) by 17% from 2026 to 2030, which “may allow for continued increase in emissions given the rate of GDP growth”, reported [Reuters](https://www.reuters.com/sustainability/climate-energy/china-plans-cut-carbon-dioxide-emissions-per-unit-gdp-by-around-38-2026-2026-03-05/). The newswire added that the plan also had targets to reach peak coal ​in the next five years and replace 30m tonnes per year of coal with renewables. **ACTIVE YET PRUDENT:** [Bloomberg](https://www.bloomberg.com/news/articles/2026-03-05/china-aims-to-cut-carbon-emissions-per-unit-of-gdp-17-by-2030) described the new plan as “cautious”, stating that it “frustrat[es] hopes for tighter policy that would drive the nation to peak carbon emissions well before president Xi Jinping’s 2030 deadline”. Carbon Brief has just published an in-depth [analysis](https://www.carbonbrief.org/qa-what-does-chinas-15th-five-year-plan-mean-for-climate-change/) of the plan. [China Daily](https://www.chinadaily.com.cn/a/202603/05/WS69a91c1ba310d6866eb3be81.html) reported that the strategy “highlights measures to promote the climate targets of peaking carbon dioxide emissions before 2030”, which China said it would work towards “actively yet prudently”. # **Around the world** **EU RULES:** The European Commission has proposed new “made in Europe” rules to support domestic low-carbon industries, “against fierce competition from China”, reported [Agence France-Presse](https://www.france24.com/en/live-news/20260304-eu-to-unveil-made-in-europe-rules-despite-pushback). [Carbon Brief](https://www.carbonbrief.org/qa-what-the-eus-new-industry-and-made-in-europe-rules-mean-for-climate-action/) examined what it means for c

DeBriefed 20 February 2026: EU’s ‘3C’ warning

W*elcome to Carbon Brief’s DeBriefed.* *An essential guide to the week’s key developments relating to climate change.* # **This week** ### **Preparing for 3C** **NEW ALERT:** The EU’s climate advisory board urged countries to prepare for 3C of global warming, reported the [Guardian](https://www.theguardian.com/environment/2026/feb/16/europe-climate-advisory-board-3c-global-heating). The outlet quoted Maarten van Aalst, a member of the advisory board, saying that adapting to this future is a “daunting task, but, at the same time, quite a doable task”. The board recommended the creation of “climate risk assessments and investments in protective measures”. **‘INSUFFICIENT’ ACTION:** [EFE Verde](https://efeverde.com/el-comite-cientifico-europeo-urge-a-la-ue-a-reforzar-la-accion-de-adaptacion-ante-un-cambio-climatico-que-ira-al-alza/) added that the advisory board said that the EU’s adaptation efforts were so far “insufficient, fragmented and reactive” and “belated”. Climate impacts are expected to weaken the bloc’s productivity, put pressure on public budgets and increase security risks, it added. **UNDERWATER:** Meanwhile, France faced “unprecedented” flooding this week, reported [Le Monde](https://www.lemonde.fr/en/environment/article/2026/02/17/unprecedented-flooding-in-france-expected-to-last-all-week_6750567_114.html). The flooding has inundated houses, streets and fields and forced the evacuation of around 2,000 people, according to the outlet. The [Guardian](https://www.theguardian.com/world/2026/feb/17/red-flood-alerts-storm-nils-exceptional-rainfall) quoted Monique Barbut, minister for the ecological transition, saying: “People who follow climate issues have been warning us for a long time that events like this will happen more often…In fact, tomorrow has arrived.” ### **IEA ‘erases’ climate** **MISSING PRIORITY:** The US has “succeeded” in removing climate change from the main priorities of the International Energy Agency (IEA) during a “tense ministerial meeting” in Paris, reported [Politico](https://www.politico.eu/article/us-succeeds-in-banishing-climate-from-global-energy-bodys-priorities/). It noted that climate change is not listed among the agency’s priorities in the “chair’s summary” released at the end of the two-day summit. **US INTERVENTION:** [Bloomberg](https://financialpost.com/pmn/business-pmn/iea-meeting-ends-without-unity-as-us-pushes-to-scrap-net-zero) said the meeting marked the first time in nine years the IEA failed to release a communique setting out a unified position on issues – opting instead for the chair’s summary. This came after US energy secretary Chris Wright gave the organisation a one-year deadline to “scrap its support of goals to reduce energy emissions to net-zero” – or risk losing the US as a member, according to [Reuters](https://www.reuters.com/business/energy/us-energy-secretary-wright-pressures-iea-quit-net-zero-agenda-2026-02-19/). # **Around the world** **ISLAND OBJECTION:** The US is pressuring Vanuatu to withdraw a draft resolution supporting an International Court of Justice ruling on climate change, according to [Al Jazeera](https://www.aljazeera.com/news/2026/2/14/us-pressures-vanuatu-at-un-over-icjs-landmark-climate-change-ruling).**GREENLAND HEAT:** The [Associated Press](https://thesun.my/news/world-news/greenlands-west-coast-shatters-century-old-january-heat-records/#google_vignette) reported that Greenland’s capital Nuuk had its hottest January since records began 109 years ago.**CHINA PRIORITIES:** China’s Energy Administration set out its five energy priorities for 2026-2030, including developing a renewable energy plan, said [International Energy Net](https://newenergy.in-en.com/html/newenergy-2449410.shtml).**AMAZON REPRIEVE:** Deforestation in the Brazilian Amazon has continued to fall into early 2026, extending a downward trend, according to the latest satellite data covered by [Mongabay](https://news.mongabay.com/2026/02/amazon-deforestation-on-pace-to-be-the-lowest-on-record-says-brazil/).**GEZANI DESTRUCTION:** [Reuters](https://www.reuters.com/business/environment/cyclone-gezani-leaves-59-dead-madagascar-displaces-more-than-16000-2026-02-16/) reported the aftermath of the Gezani cyclone, which ripped through Madagascar last week, leaving 59 dead and more than 16,000 displaced people. # 20cm The average rise in global sea levels since 1901, according to a [Carbon Brief](https://www.carbonbrief.org/guest-post-the-challenges-in-projecting-future-global-sea-levels/) guest post on the challenges in projecting future rises. # **Latest climate research** Wildfire smoke poses negative impacts on organisms and ecosystems, such as health impacts on air-breathing animals, changes in forests’ carbon storage and coral mortality | [Global Ecology and Conservation](https://www.sciencedirect.com/science/article/pii/S2351989426000727?dgcid=rss_sd_all)As climate change warms Antarctica throughout the century, the Weddell Sea could see the grow