AI · alternatives · 2026
24 alternatives to Atrophy – measure whether AI is eroding your unaided coding skill
Measure what your brain is losing while AI does your work - unaided-skill baselines, decay curves, reliance drills - ashutosh-rath02/atrophy
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Athina AI▲509Monitor LLMs and automatically detect hallucinations in prod
2024 · athina.ai · its alternatives →
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Dev Atrophy Test▲180Hey HN, I'm Per from Scrimba (YC S20), the code-learning platform. There's been a lot of talk lately about whether AI tools are causing skill atrophy amongst developers. We get a front-row seat to this, and we see more and more students struggle with basic concepts, and building apps on their own. This is almost always a consequence of relying too much on ChatGPT and vibe coding tools. So we built a small side project: https://devatrophy.com It's a test of your core web dev knowledge — no handholding, no back rubs, no AI autocomplete. Just you, your brain, and 10 questions. There…
2025 · devatrophy.com · its alternatives →
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Atrophy▲2Track which coding skills you're outsourcing to AI
Mar 2026 · github.com · its alternatives →
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Atrophy is an iOS self-report quiz aimed at software engineers who use LLMs heavily enough at work to wonder if they're trending toward AI over-reliance or some form of AI psychosis. I built it because I noticed a pattern: formerly AI-skeptical coworkers now open every standup or design discussion with "I asked Claude..." or "Claude told me..." for technical problems and design decisions. I've felt the same pull myself to delegate every task or problem to AI. It's easy to lean on these tools for almost any amount of critical thinking or problem solving, and I'm worried about what it means…
May 2026 · apps.apple.com · its alternatives →
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With more traffic moving off-web and into LLMs, I got curious about what traces we leave "in the weights". My design partner and I built a site in the past few weeks that checks recognition across frontier and small models. It queries many of them in parallel, clusters the responses, and tells you how strongly they recognize you. Happy to answer any questions here!
Jun 2026 · intheweights.com · its alternatives →
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Curious how AI-fluent your organization is?
May 2026 · ai-pilled.com · its alternatives →
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Most RAG setups fail because they treat memory like a static filing cabinet. When every transient bug fix or abandoned rule is stored forever, the context window eventually chokes on noise, spiking token costs and degrading the agent's reasoning. This implementation experiments with a biological approach by using the Ebbinghaus forgetting curve to manage context as a living substrate. Memories are assigned a "strength" score where each recall reinforces the data and flattens its decay curve (spaced repetition), while unused data eventually hits a threshold and is pruned. To solve the…
Apr 2026 · github.com · its alternatives →
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TruBrain▲130Access your brain's full potential with nootropics
2015 · trubrain.com · its alternatives →
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Sup AI▲103Hi HN. I'm Ken, a 20-year-old Stanford CS student. I built Sup AI. I started working on this because no single AI model is right all the time, but their errors don’t strongly correlate. In other words, models often make unique mistakes relative to other models. So I run multiple models in parallel and synthesize the outputs by weighting segments based on confidence. Low entropy in the output token probability distributions correlates with accuracy. High entropy is often where hallucinations begin. My dad Scott (AI Research Scientist at TRI) is my research partner on this. He sends me papers…
Apr 2026 · sup.ai · its alternatives →
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The working memory for your AI second brain
2023 · mindpal.space · its alternatives →
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Erudit AI▲81Measure & predict the burnout & engagement in your workspace
2020 · erudit.ai · its alternatives →
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A uniform interface to run deep learning models from multiple frameworks - uber/neuropod
2020 · github.com · its alternatives →
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Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…
2023 · vectara.com · its alternatives →
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ErgoSums▲3Daily training against AI-induced cognitive atrophy
May 2026 · ergosums.com · its alternatives →
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Change management, SkillOpt optimization, and evidence-gated evals for agent skills. - SlanchaAI/ingot
Jul 2026 · github.com · its alternatives →
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The AI that plays confused until you're actually clear
Jun 2026 · getlucidly.app · its alternatives →
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I come from a machine learning background - PyTorch code, leaving a training job running overnight, and Jupyter Notebooks. I hadn't touched much frontend before diving deep into start-ups. It was similar for my co-founder Nick, who spent time working on semiconductors. I started building, and noticing patterns in AI outputs. Enough to be able to understand how a hook works, how to manage state and why Typescript is great. But whenever it came to optimising a piece of code, debugging state issues or designing a codebase from scratch, my mind went blank. I went to ChatGPT Study Mode to seek…
Apr 2026 · chestnut.so · its alternatives →
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A headless API for the performance system you built
Aug 2026 · attuned.ai · its alternatives →
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Athon▲1Your AI fitness coach for smarter workouts and results.
Jul 2026 · athon.app · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →