Interview Cake
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interviewing.io
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Daily Coding Problem
Codechef
CodeForces
LogicMojo
Tempreon
ChainMemory
Memori
Mem0
Agentmemory
TheSecondBrain.dev
cognee
VATES.jp
Tempreon is a personal memory layer for your AI tools, connected over MCP. Your knowledge, preferences, and decisions travel across Claude, ChatGPT, Cursor, and any MCP-capable client — captured once, available everywhere. It learns how you actually work instead of just storing what you said.
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Tempreon's answer:
Tempreon started with a simple observation: AI models keep changing, but the thing that makes them useful to you — your context, your preferences, your judgment — gets rebuilt from scratch inside every tool, and lost every time you move.
We built the layer that fixes that: person-owned memory served over the open Model Context Protocol, so it works across assistants instead of belonging to one. Along the way we open-sourced the pieces that are useful to everyone regardless of whether they use Tempreon — like memhaul, our MIT-licensed CLI for turning ChatGPT and Claude data exports into files you own.
The through-line is custody: the model is temporary, your memory shouldn't be.
Tempreon's answer:
Most alternatives in this space are memory infrastructure for developers building their own AI apps. If you're the person using several AI tools every day, that's not your problem — your problem is re-explaining yourself to each of them and losing everything when you switch.
The choice is really about who the memory is for. Ours is for you.
Tempreon's answer:
Tempreon is built for the person, not the app. Most memory products are developer APIs for adding memory to a single product; Tempreon is a memory layer you own that travels with you across every AI tool you use — Claude, ChatGPT, Cursor, anything MCP-capable.
Tempreon's answer:
Individuals who live in AI tools all day: operators, consultants, founders, sales professionals, and knowledge workers who use more than one assistant and are tired of being a stranger to each of them.
If you've ever pasted the same context into Claude and ChatGPT in the same week — you're the audience.
Tempreon's answer:
The protocol choice is the product decision: build on the open standard, and your memory works everywhere the standard does.
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Here's another site that helped me when I was starting out: interviewcake.com (I think I had a free trial or something). Source: over 4 years ago
Interviewcake.com has some great explanations and practice problems for leetcode style problems. I got the year subscription on sale. Source: about 5 years ago
I also used to do the exact same thing during a technical interview. Seems like an obvious answer, but I've always noticed the more prior practice I have, the less nervous I get. I think a good part of the mental fatigue comes from nerves. And those nerves were amplified when I encountered a problem for which I didn't immediately have a general grasp of the solution. But as soon as I got more consistent with my... Source: about 5 years ago
AlgoExpert.io - A better way to prep for tech interviews
ChainMemory - Portable, verifiable memory for AI agents — works across ChatGPT, Claude, Gemini and any MCP client
interviewing.io - Free, anonymous technical interview practice
Memori - Persistent memory from agent trace, not just conversation
CodingInterview - CodingInterview offers essential information to help you conquer programming interviews.
Mem0 - Your private, local memory layer for all AI tools