Alternatives
Products that do what Corepoints – Screen Candidates for AI Proficiency at Scale (Demo Run) does
It's extremely difficult for founders, recruiters and hiring managers to screen their candidates for AI proficiency at scale. That's why we built Corepoints. You can create and send OAs where AI usage (with AI chat) is a core metric. You have full control of the testing environment: hallucinations, data leakages, LLM behavior + Grade candidates on aspects such as their answer accuracy (of course), prompting quality, reasoning quality, hallucination susceptibility, token usage, and more. We're currently doing a demo/beta run for about the next month or so that we can iterate off…
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I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…
2025 · github.com
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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…
Oct 2025 · teeming.ai
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Most inference UIs that I've come across pretty much just give us a chat-like interface to toy around with models in a single visual conversation thread. Given the fact that we are limited to seeing only one output at a time, it's kind of hard to compare outputs from different models, adjustments made to the prompting, and sampler settings. But even when keeping the generation parameters the same (e.g., to test for reliability in the output) and just going for multiple passes, there is no easy way to have a side-by-side comparison to keep track of the outputs from the multiple "rounds". I…
2024 · github.com
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Embed AI Proctoring & Assessments with Simple APIs
Jun 2026 · developer.coreplatform.in
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Enter your phone number, get called in 30 seconds for a 2–3 minute AI-powered screening interview. https://prepin.ai/aiphonecall Current MVP scope Right now it handles general screening questions and generates simple reports. We’re validating demand before building: Technical screening libraries ATS integrations Custom question sets per role or company Multi-language support Who we’re looking for We’d love feedback from recruiters and startup founders who are (or soon will be) running hiring processes. Request for feedback Please actually try the call first—I know it sounds…
2025
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