ScoreSense
Know exactly what to study next for the SAT
What it does
Most SAT prep tools show you what you got wrong. ScoreSense shows you why you keep getting it wrong. Run a short diagnostic, and Scout (the AI coach) identifies your specific mistake patterns — not just topics, but the exact errors you repeat. Then it gives you one focused practice goal for today. No generic study lists. No guessing what to review. Just one clear next move, updated every session. Free beta. No credit card needed.
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Hi, I'm Eric and I'm the founder and lead developer of Prepform. A high-quality education helped me pursue my interests and achieve my goals. I started Prepform so students of all backgrounds have access to the same kind of education. I grew up in Southern California, surrounded by dozens of SAT prep programs, and I swear I must have gone to all of them. Different programs followed different styles and techniques, but the strategy they shared was to create a study plan and review mistakes. A study plan is taking a diagnostic test, setting a target score, creating a study schedule,…
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I've gotten to the point in my career where I now make strategic decisions often (hiring, firing, choosing what equipment to go with, etc.), as well as in my personal life where I need to strongly weigh my options for a big purchase or investment. I found a not-so-surprising parallel between the two as these decisions "resolved." Am I making good decisions or am I getting lucky? Did some research, read some books, and realized I should get in the habit of tracking my decision process. That quickly turned into the idea that formed Convexly. The landing page is a 10-question calibration quiz…
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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