AZGigs
Skip the application process and connect directly.
What it does
AZGigs removes the biggest friction in job boards: applying and waiting. Instead, users post what they need or offer and connect instantly with local people. Listings go live immediately, no approvals, no resumes. A small pay-to-post model filters spam, while featured boosts increase visibility. It’s faster, simpler, and built for real-time action, not endless browsing.
Does the same job
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- WTWe tried to build a job board that isn't awfulOct 2025 · teeming.ai · ▲32
Hi HN, We’re definitely not the first to realise there’s something seriously wrong with how hiring and job-seeking works today. Zero-cost communication and LLMs have created so much noise that good candidates can’t get heard, and it becomes all too tempting to game the system with keywords and prompt-hacking. In fact we discovered that 70% of early stage AI startups don't post their jobs on LinkedIn. Instead, many founders hire exclusively within their network, which works at the start but doesn’t scale. We thought a lot about this problem, and pivoted through a few ideas including an AI…
- IBI Built a FAANG Job Board – Only Jobs Scraped in the Last 24h2025 · topjobstoday.com · ▲11
- GLGot laid off. Got sick of ghost jobs. Built something2025 · app.ghostjobs.io · ▲20
Hello everyone, I got laid off last year and during the job hunt, I kept running into ghost jobs, these listings that never lead anywhere. Super frustrating. After some point, I started tracking company behavior across job boards. It snowballed into a little web app where you can actually see how companies are hiring — or pretending to. It's free, early stage, UI is a bit rough, but here’s what some info it shows per company: -Job boards they post on -ATS system they use -Median salary by role -Post frequency + how old the listings are -Skills and degree requirements -Track all existing…
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the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com