Tiding
No ghost jobs. No blind connections. Just real hiring.
What it does
LinkedIn has zombie job posts. Tiding kills them. Every listing must be re-confirmed every 14 days or it auto-expires — the Anti-Ghost Heartbeat. Connections aren't blind. You pick an intent: Project Swarm, Mentorship, Strategic Alignment, or Operational. An AI agent validates fit before either side sees the request. Trust is scored. Karma (0–1000) is staked on every interaction. Ghost someone? It costs you. Built for India's job market.
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…
- JCJob Compass – AI agents that help you find jobs, not replace you2025 · jobcompass.ai · ▲30
My friend and I got tired of job hunting (347 applications, 4 responses) so we built AI agents to help job seekers instead of replacing them. The problem: 73% of applications never reach humans, 250+ people apply to each job, but 85% of positions are filled through networking. Our solution: AI agents that find hiring managers for any LinkedIn job, analyze your profile fit, and generate personalized outreach messages. Instead of competing with hundreds in the application pile, you reach decision-makers directly. Technical bits: LangChain + OpenAI for job parsing, Next.js + Supabase, custom…
- 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…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, May 2026
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