Alternatives
Products that do what SpinForClarity does
Break the decision loop. Stop overthinking. Start deciding.
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I built AutoThink, a technique that makes local LLMs reason more efficiently by adaptively allocating computational resources based on query complexity. The core idea: instead of giving every query the same "thinking time," classify queries as HIGH or LOW complexity and allocate thinking tokens accordingly. Complex reasoning gets 70-90% of tokens, simple queries get 20-40%. I also implemented steering vectors derived from Pivotal Token Search (originally from Microsoft's Phi-4 paper) that guide the model's reasoning patterns during generation. These vectors encourage behaviors like numerical…
2025
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TLDR: A small, vendor-agnostic inference loop that turns token logprobs/perplexity/entropy into an extra pass and reasoning for LLMs. - Captures logprobs/top-k during generation, computes perplexity and token-level entropy. - Triggers at most one refine when simple thresholds fire; passes a compact “uncertainty report” (uncertain tokens + top-k alts + local context) back to the model. - In our tests on technical Q&A / math / code, a small model recovered much of “reasoning” quality at ~⅓ the cost while refining ~⅓ of outputs. I kept seeing “reasoning” models behave…
2025 · github.com
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5 intuitive choices, 6 personalized daily plan suggestions.
Apr 2026 · benche.app
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I had really bad health anxiety the last 2 years that severely impacted my quality of life. I started using Claude for support and was surprised by how much it helped. I realised how much potential there is for LLMs to provide an objective perspective on stressful thoughts - so I built an app that helps you form a habit around this to reduce long term anxiety. You vent what's on your mind and an LLM will evaluate your thoughts objectively (heavily leaning on CBT techniques), to help you maintain a more balanced perspective. Technical stack: - Flutter (to release cross-platform) - OpenAI API…
2025 · resetapp.co.uk
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