Alternatives
Products that do what Cosmident does
AI-powered ORE and LDS mocks with evidence-based feedback
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At testup.io we have been working for a while to bring artificial intelligence to the field of test automation. Just a few years ago, the primary challenge laid in accurately identifying UI elements following minor structural changes, such as updates to IDs or paths. The emergence of Large Language Models (LLMs) raised the bar for what it meant to be smart. Now, we anticipate the robot to do lots of things autonomously, such as retry in cases of unresponsiveness or handle minor error reports. A more challenging, but soon expected feature, would involve the test robot navigating your web shop…
2024 · github.com
- 18MA
Hello fam! I'm thrilled to share our latest product launch. Mock AI interviewer - a revolutionary platform designed to transform the way job seekers prepare for interviews. It is an AI-Powered Interview Coach Imagine having a personal coach who understands the nuances of any job role around the world and offers job seekers tailored practice sessions with instant, actionable feedback. That's what we've built - an AI interviewer that simulates real-world interviews across any industry, designed to make you a top candidate. The best part? It is completely free! No credit cards, no…
2024 · interview.talently.ai
- 19RA
I built a local-first UI that adds two reasoning architectures on top of small models like Qwen, Llama and Mistral: a sequential Thinking Pipeline (Plan → Execute → Critique) and a parallel Agent Council where multiple expert models debate in parallel and a Judge synthesizes the best answer. No API keys, zero .env setup — just pip install multimind. Benchmark on GSM8K shows measurable accuracy gains vs. single-model inference.
Mar 2026 · github.com
- 20LA
Hello HN! I'm an Android OS engineer. I've worked with AOSP and Linux kernels all my career and always wondered about lack of sophisticated tools to debug and analyze system-level logs. Always had to resort to manually skimming through large log files to find something I needed to. With the rise of LLMs and the AI-age, I felt it was a great opportunity to build something for OS engineers, which is what led to logcat.ai! We are building the industry-first observability platform for system level intelligence. Think "Datadog for operating systems" instead of applications. Currently, we support…
2025 · logcat.ai
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- 22UA
Hi HN, Built URPAL – an AI assistant that converts emails and call recordings into professional file notes for legal/consulting work. *Tech:* React + Node.js + PostgreSQL + OpenAI GPT-4o + Stripe *Key innovation:* Smart detection of communication direction (did you send/receive the email? make/receive the call?) using pattern matching, not just AI guessing. *Live at:* https://urpal.com.au (14-day free trial, then AUD $15/month) The trickiest part was building bulletproof logic for email/call direction detection – turns out simple rules work better than…
2025 · urpal.com.au
- 23CA
Hi HN, I've been working with LLMs in production for a while both as a solo dev building apps for clients and working at an AI startup. The one thing that always was a pain was to pay OpenAI/Gemini/Anthropic a few dollars a month just for me to say "test" or have a CI runner validate some UI code. So I built this server called ChunkBack, that mocks the popular llm provider's functionality but allows you to type in a deterministic language: `SAY "cheese"` or `TOOLCALL "tool_name" {} "tool response"` I've had to work in some test environments and give good results for experimenting…
Nov 2025 · github.com
- 24IA
I am working on an AI that uses multiple LLM based agents to do medical research on any topic you choose! The program terminates after a set number of iterations and all of the findings are saved. Still a work in progress but it is showing some promising results imho! Would love to receive any critical and constructive feedback, collaborate, Review your PRs, or discuss your ideas!!
2023 · github.com
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