We tried to build a job board that isn't awful
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…
In plain words
We Tried to Build a Job Board That Isn't Awful is a job board designed to address noise and gaming in tech hiring. It targets candidates and early-stage AI startup founders who struggle with keyword optimization and LinkedIn fatigue. The platform removes barriers between users and job data, prioritizing direct access over algorithmic filtering. It addresses a gap where 70% of early-stage AI startups avoid traditional job boards and rely instead on network hiring.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
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 voice agent recruiter. We even spent some time trying to be conventional tech recruiters to better understand the problem space. And in the end we built...a job board. But we think there are a few things that make ours different: - We decided to not put barriers between the user and the data. You can search, filter or browse however you like from the minute you sign up. Zero onboarding - We wanted to nail one niche, so we focused on surfacing opportunities at early-stage AI companies (over 30,000 jobs at 24,000 companies) - You can navigate it using keyboard shortcuts! - We built a voice agent, Nell, who conducts a technical recruiter call with you through your browser and immediately finds matches, the way a well-connected friend who knows you well would - When you tell us you’re interested in a role, we make a best effort to connect you to founders directly, along with your profile, so no cover letters, no pointless forms - We enriched jobs data with investor-grade intelligence - you can look at same data that VCs use to decide whether a startup is worth joining or not Give it a try and let us know what you think: https://teeming.ai
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There are existing HN job aggregators, but I thought we could take it a step further. Inspired by an insightful comment on a previous thread (https://news.ycombinator.com/item?id=36163021), I built a tool that aggregates job postings and intelligently categorizes them based on user-specific preferences: * Country and remote work preferences * Employer type (e.g., startup, corporation, government) * Industry * Technologies used * Role type (developer, architect, product owner, etc.) * Salary range (where available) One of the superpowers of LLMs is reformatting information from…
- FAFind AI – Perplexity Meets LinkedIn2024 · usefind.ai · ▲94
As a founder, finding early customers is always a challenge. I'd come up with specific guesses for people to talk to - such "VCs that used to be startup founders" or "Former lawyers who are now CTOs." Running those types of searches typically involves opening dozens of LinkedIn profiles in tabs, and looking at them one-by-one. And, it turns out that going through LinkedIn profiles one-by-one is a daily job for many people. I started building Find AI to make it easier to search for people. I initially started just having GPT review people's LinkedIn profiles and websites, but it cost…
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