@MahendraMack9b · X

Check out what I just built with Lovable!

u/ICARUS_2X · Reddit

Spent 7 months building a FOSS platform for natural-language chess analytics (No LLM) Hey guys, I've released CHONSE2, an open-source game review platform that offers unlimited analysis and move explanations without using hallucination-prone LLMs, running entirely in your browser. chonse2.com But Lichess is free, so why use this? Some have asked. It expands on Lichess's feature set a few different ways: Full analysis (accuracy/elo estimations/eval graphs, etc) requir

海嘉 AI 实验室智能应用 — 表格问答，文字 OCR，表格图片结构识别等

ieltssh — 基于 AI 的雅思口语素材库，定制个人专属素材

@kashifbuilds · X

Hey hey, I recently launched and am currently working on onboarding and engagement metrics. Lets connect!

@RohanAhmed06 · X

🚀 Built Humanely. An AI writing toolkit with: • AI Humanizer • AI Detector • Grammar Checker • Text Summarizer • SEO Tools I'd love your honest feedback 🙌

@abhisricodes · X

Built InterviewIQ to help jobseekers practice realistic AI-powered mock interviews before the real thing. Get instant feedback on communication, technical answers, and confidence. Looking for early users.

@askjames_co · X

@LinguExcel · X

Become fluent in any language faster than ever by reviewing thousands of real life sentences. Treat language learning like a HIIT workout.

QWQ AI Assistant — 免费提供经过深思熟虑且富有详细推理的答案的 AI 助手，不需要登录

u/Puzzleheaded-Log-27 · Reddit

Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree

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