JephAi
AI-powered CFA & FRM exam prep at 92% lower cost
What it does
JephAi helps finance professionals pass CFA and FRM certification exams using AI-powered adaptive learning. What makes us different: • 25,000+ practice questions (4x more than competitors) • AI tutor available 24/7 for instant explanations • Personalized study plans that adapt to your weak areas • Monthly mock exams (not single-use like traditional courses) • 92% cheaper than Kaplan Schweser or Wiley Pricing: €9.99-€29.99/month vs €799-€2,299 for traditional courses
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CertPrep AI — AI Exam PrepJul 2026 · certprepai.manus.space · ▲1Unlimited AI practice questions for CPA, CFA & NCLEX
- ESEuropean Swallow AI – Sonnet-quality coding at $2.60/M tokensOct 2025 · europeanswallowai.com · ▲7
Are you spending hundreds of dollars a month on AI coding costs? I built European Swallow AI, an API that uses reasoning models (Claude, Deepseek) for thinking and cheaper specialized coding models (Qwen, Grok) to write code, so you can save token costs while still getting high quality code. With an OpenAI formatted endpoint you can try European Swallow in Cursor, Typing Mind, Xibe AI and your own custom apps. During testing, European Swallow scored 80.5% on Big Code Bench and over 90% on the HumanEval+. It averaged $2.60 per million tokens compared with the $15 per million output tokens of…
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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, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
