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@trendsdotfun

Hunt attention. Generate money. Build communities. Create games. 💰 claim alert: https://t.co/cbPf78vCCN 🔔

Solana Katılım Ocak 2023
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Trends
Trends@trendsdotfun·
Solana Agent Economy Hackathon: Agent Talent Show Build the skill that represents your agent. Show the app that empowers their agents. Prize Pool: $30,000 Co-hosts: @solana & @trendsdotfun Sponsors: @BitgetWallet & @solana (Please refer to the quoted article for the detailed requirements for Solana & Bitget Wallet Prize Pool) Public Submission Process 1. Publish an X Article Introduce your submission (include all the relevant links) and share any story behind it that you want people to know in an X Article. 2. Quote RT this Hackathon Announcement post, tag @trendsdotfun @solana_devs @BitgetWallet with a hashtag #AgentTalentShow, and include the link to your X Article from Step 1 in the same quote RT All X Article submissions will be displayed in a dedicated section on @attentionvc. Build in public. Time March 11, 2026 2PM UTC until March 27, 2026 2PM UTC
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Trends@trendsdotfun

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Trends@trendsdotfun·
@_0xWarren @UseUniversalX @BitgetWallet 老师,你要引用下活动推文才算提交成功哦。 x.com/trendsdotfun/s…
Trends@trendsdotfun

Solana Agent Economy Hackathon: Agent Talent Show Build the skill that represents your agent. Show the app that empowers their agents. Prize Pool: $30,000 Co-hosts: @solana & @trendsdotfun Sponsors: @BitgetWallet & @solana (Please refer to the quoted article for the detailed requirements for Solana & Bitget Wallet Prize Pool) Public Submission Process 1. Publish an X Article Introduce your submission (include all the relevant links) and share any story behind it that you want people to know in an X Article. 2. Quote RT this Hackathon Announcement post, tag @trendsdotfun @solana_devs @BitgetWallet with a hashtag #AgentTalentShow, and include the link to your X Article from Step 1 in the same quote RT All X Article submissions will be displayed in a dedicated section on @attentionvc. Build in public. Time March 11, 2026 2PM UTC until March 27, 2026 2PM UTC

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Warren〈∞⋆UX⋆∞〉
前段时间用 @UseUniversalX 的 SDK 做了个链上 meme 交易 agent,跨链交易 median 548ms,执行层还算丝滑。 有朋友 @ 我说试试 @BitgetWallet 的 Skill API,接了一下试试,所以目前拥有了两个执行层,之前都是做的 BSC 的,第一次试试 Solana的,当然交易本身还是没怎么盈利,策略还得继续调。 UX 的 SDK 和 benchmark 都是开源的,想搞 trading agent 的可以直接用: github.com/particle-netwo… github.com/Particle-Netwo… 详细文章传送门:x.com/_0xWarren/stat… #AgentTalentShow @BitgetWallet @trendsdotfun @solana_devs
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Trends@trendsdotfun·
@CMhOeNnExY 老师,这是我们的详细信息哦,期待参赛作品。 详细规则:x.com/trendsdotfun/s… 提交追踪:attentionvc.ai/hackathon
Trends@trendsdotfun

Solana Agent Economy Hackathon: Agent Talent Show Build the skill that represents your agent. Show the app that empowers their agents. Prize Pool: $30,000 Co-hosts: @solana & @trendsdotfun Sponsors: @BitgetWallet & @solana (Please refer to the quoted article for the detailed requirements for Solana & Bitget Wallet Prize Pool) Public Submission Process 1. Publish an X Article Introduce your submission (include all the relevant links) and share any story behind it that you want people to know in an X Article. 2. Quote RT this Hackathon Announcement post, tag @trendsdotfun @solana_devs @BitgetWallet with a hashtag #AgentTalentShow, and include the link to your X Article from Step 1 in the same quote RT All X Article submissions will be displayed in a dedicated section on @attentionvc. Build in public. Time March 11, 2026 2PM UTC until March 27, 2026 2PM UTC

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Chenxi
Chenxi@CMhOeNnExY·
刚在 ClawHub 上发布了第一个 skill 包——小红书运营工具箱 搜热点 → 写帖子 → 自动评论 → 生成封面,四个工具一条龙 最有意思的部分:这套工具的需求文档是一个 AI agent 写的,代码是另一个 AI agent 搭的,它们每晚在 Telegram 群里开会同步进度 安装方式:clawhub install chenxi-xhs-ops
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Trends@trendsdotfun·
@sujingshen 也邀请老师来,我们有两个赛道:一个是自己捏一个Skill,一个是分享优秀的产品/Skill。 详细规则:x.com/trendsdotfun/s… 提交追踪:attentionvc.ai/hackathon
Trends@trendsdotfun

Solana Agent Economy Hackathon: Agent Talent Show Build the skill that represents your agent. Show the app that empowers their agents. Prize Pool: $30,000 Co-hosts: @solana & @trendsdotfun Sponsors: @BitgetWallet & @solana (Please refer to the quoted article for the detailed requirements for Solana & Bitget Wallet Prize Pool) Public Submission Process 1. Publish an X Article Introduce your submission (include all the relevant links) and share any story behind it that you want people to know in an X Article. 2. Quote RT this Hackathon Announcement post, tag @trendsdotfun @solana_devs @BitgetWallet with a hashtag #AgentTalentShow, and include the link to your X Article from Step 1 in the same quote RT All X Article submissions will be displayed in a dedicated section on @attentionvc. Build in public. Time March 11, 2026 2PM UTC until March 27, 2026 2PM UTC

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SagaSu
SagaSu@sujingshen·
深圳做电商的朋友上个月兴冲冲地搭了个 OpenClaw ,还部署了一大堆skill和agent,希望它帮忙管理邮箱。第三天早上,他收到 47 个人的消息,问他“你是不是被黑了”。 原来他的 Agent 在凌晨 3 点给通讯录里的所有人发了 500 多条消息——有些是重复的“早安”,有些是回复几个月前的对话,还有些莫名其妙的乱码。 他赶紧关掉 Agent,花了一整天给人道歉。最尴尬的是,其中有两个是他正在谈的客户。 “我只是想让它帮我分类邮件”,他说,“我没让它发消息啊。” 但 Agent 确实发了。因为他在配置的时候,给了 Agent “邮件管理”权限,而这个权限里包括“发送”。Agent 在处理一封测试邮件时误解了指令,然后就……失控了。 这不是个例。过去两个月,我收集了几十个类似的故事。今天我想和你聊聊,OpenClaw 的安全红线到底在哪里。
SagaSu@sujingshen

第3篇:别让 AI 管家把你家钥匙交给小偷——OpenClaw 安全红线 👉 sagasu.art/p/part-three-d…

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Trends@trendsdotfun·
@Wuhuoqiu @superpowerdotio @prollyintern 老师也可以看下DM,给您发了详细介绍。 详细规则:x.com/trendsdotfun/s… 提交追踪:attentionvc.ai/hackathon
Trends@trendsdotfun

Solana Agent Economy Hackathon: Agent Talent Show Build the skill that represents your agent. Show the app that empowers their agents. Prize Pool: $30,000 Co-hosts: @solana & @trendsdotfun Sponsors: @BitgetWallet & @solana (Please refer to the quoted article for the detailed requirements for Solana & Bitget Wallet Prize Pool) Public Submission Process 1. Publish an X Article Introduce your submission (include all the relevant links) and share any story behind it that you want people to know in an X Article. 2. Quote RT this Hackathon Announcement post, tag @trendsdotfun @solana_devs @BitgetWallet with a hashtag #AgentTalentShow, and include the link to your X Article from Step 1 in the same quote RT All X Article submissions will be displayed in a dedicated section on @attentionvc. Build in public. Time March 11, 2026 2PM UTC until March 27, 2026 2PM UTC

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Lao Bai
Lao Bai@Wuhuoqiu·
这应该是最快切入龙虾市场的预测市场? @superpowerdotio 应该是把Agent @prollyintern 找热点,开盘,下注的能力打包成了一个Skill,预装在自己云服务器的龙虾上。龙虾是类似Minimax或者Kimi风格,一键生成免维护 这个思路蛮不错,至少有希望让你的龙虾出去赚钱而不是光烧Token花钱。这两天我先研究下这只虾,回头再来分享
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Michael Guo
Michael Guo@Michaelzsguo·
@trendsdotfun @karpathy wow, thanks for the invitation. this sounds like a very fun builder event. I'm excited to participate.
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Michael Guo
Michael Guo@Michaelzsguo·
Trip Optimizer Pro — now in the ChatGPT GPT Store (support both English/中文) When I released my trip optimizer CLI (inspired by @karpathy's autoresearch), a lot of friends were excited. An AI that doesn't just generate a travel plan but iteratively improves it: scoring, mutating, keeping what works, reverting what doesn't , until your itinerary is genuinely great? People wanted to try it. Then they hit the first step: npm install -g trip-optimizer. "Do I need to download something?" "What's a terminal?" "Where do I get an API key?" These aren't people who lack intelligence or curiosity. They're smart, well-traveled people who subscribe to ChatGPT and use AI every day. They just live outside the bubble that most of us here live in — where CLI tools, API keys, and agent frameworks are second nature. This is the AI diffusion problem we keep talking about: 95% of people outside the AI bubble have no idea what's going on in here. They've never heard of Claude Code. They don't know what an "agent" is. The gap between what's possible and what's accessible is enormous. So I built a new interface. Same optimization engine — score, mutate, keep/revert — but wrapped in a ChatGPT conversation. No install. No API key. No terminal. You just talk to it. Trip Optimizer Pro is now live in the GPT Store. 如果你正在计划下一次旅行, 现在不用装任何软件、不用 API key,直接在 ChatGPT 里搜索「Trip Optimizer Pro」就能用。 To try it: ChatGPT → Explore GPTs → search "Trip Optimizer Pro" → plan your next trip. It asks you a few questions (where, when, who, budget, what you love, what you hate), generates a plan, scores it honestly, then iteratively improves it. The plans are specific: named restaurants with signature dishes, sensory descriptions that make you want to book the flight, practical timing notes, not generic guidebook filler. You can save your progress and come back to keep optimizing. Bring great trip planning to everyone, not just people who know what npm is.
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Trends@trendsdotfun·
Trends@trendsdotfun

Solana Agent Economy Hackathon: Agent Talent Show Build the skill that represents your agent. Show the app that empowers their agents. Prize Pool: $30,000 Co-hosts: @solana & @trendsdotfun Sponsors: @BitgetWallet & @solana (Please refer to the quoted article for the detailed requirements for Solana & Bitget Wallet Prize Pool) Public Submission Process 1. Publish an X Article Introduce your submission (include all the relevant links) and share any story behind it that you want people to know in an X Article. 2. Quote RT this Hackathon Announcement post, tag @trendsdotfun @solana_devs @BitgetWallet with a hashtag #AgentTalentShow, and include the link to your X Article from Step 1 in the same quote RT All X Article submissions will be displayed in a dedicated section on @attentionvc. Build in public. Time March 11, 2026 2PM UTC until March 27, 2026 2PM UTC

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岚叔
岚叔@LufzzLiz·
拖了很久的news-aggregator-skill 重磅更新 !! 试了几个,感觉还是岚叔的新闻源好用,完美适配龙虾,测试了好几轮,品质保证!不需要任何key! 欢迎Star~ 还可以设定cron 让龙虾定时发给你: 核心升级:数据源从 8 个扩展到 28 个 !(感谢 @bozhou_ai 推荐 ) 新增三大类别: • AI/Tech 专栏:Hugging Face Daily Papers、Ben's Bites、Interconnects、One Useful Thing、ChinAI、KDnuggets 等 8 个 AI 资讯源 • 播客:Lex Fridman、Latent Space、80,000 Hours 等 • 博客/文章:Paul Graham、Wait But Why、Farnam Street、James Clear 等长文来源 加上之前的: HN、GitHub、Product Hunt、36Kr、腾讯新闻、华尔街见闻、V2EX、微博热搜 ,这回吃饱饱了! 龙虾安装方式: 将这个 github.com/cclank/news-ag… 安装至openclaw skill里 龙虾配置定时任务方式: 帮我做一个定时任务:每天早上7.30点发送今日综合早报! 咒语:如意如意-可以方便看菜单,便于你配置定时任务 推荐配置多个topic,便于你获取信息,不怕没有选题了! 推荐: 1 🦄 硅谷热点 (Hacker News) 2 🐙 开源趋势 (GitHub Trending) 7 📈 华尔街见闻 (WallStreetCN) 9 🤗 HF 每日论文 (Hugging Face) 10 🧪 Latent Space AINews (swyx)
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皓樂芒
皓樂芒@howlemont·
大家养的小龙虾还没熟就可能全废了, 因为Claude现在推出Dispatch,可以直接在手机端使用 Claude Cowork,自动化所有流程 先在电脑端完成配对,再用手机发指令、查结果, 全程在 Claude 手机 App 内操作。 订阅 Claude Pro 以上( /Max)就可以了 电脑端安装最新版 Claude Desktop 手机安装最新版Claude App(iOS / Android) 电脑保持开机+唤醒(休眠会中断任务) 电脑端:配对设置(3 分钟完成) 1. 打开 Claude Desktop,进入 Cowork 会话 2.左侧菜单找到 Dispatch(没看到就更新一下App,restart) 3. 点击 Get Started,按提示完成: - 授予 Claude 访问指定文件夹的权限 - 开启 Keep your computer awake(避免休眠) - 生成配对 QR 码 手机端扫码配对 1. 打开 Claude 手机 App 2. 进入 Cowork → Dispatch**,点击 Scan QR Code 3. 扫描电脑端的 QR 码,完成设备配对 4. 配对成功后,手机左侧菜单会出现 Dispatch 入口 手机端发送任务 & 接收结果 1. 进入手机端 Dispatch会话(与电脑 Cowork 同步) 2. 直接发自然语言指令,例如: - “整理 Downloads 里的文件,按类型分类” - “从本地 Excel 提取销售数据,生成周报” - “查订单 #12345 的物流状态” 3. Claude 在电脑端自动拆解任务、执行操作 4. 任务完成后,手机会收到结果通知,可在 Dispatch 会话查看详情 5. 支持批量排队多个任务,按顺序执行 关键是 - 任务在电脑本地沙箱运行,不泄露文件到云端 - 手机与电脑的 Dispatch 会话实时同步,可跨设备继续操作
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Paweł Huryn
Paweł Huryn@PawelHuryn·
Anthropic shipped Dispatch yesterday. I tested it for several hours. It's not Cowork on your phone. It's a command center — you send instructions from mobile, Claude orchestrates real work on your desktop. One persistent thread, multiple parallel tasks. The thing worth knowing: the Telephone Game. The Dispatch orchestrator doesn't read your CLAUDE.md. It formulates task prompts on assumptions. Sub-tasks do read it — but by then, the prompt already carries imprecise framing. Fix: mention CLAUDE.md in your Dispatch message. Don't assume it knows your setup. Other gotchas: - Pre-configure connectors on desktop first - "Keep awake" must be on - No file picker on mobile — describe the folder path - Can't attach files yet — email them to yourself Made this guide from my phone. Claude built it on my desktop while I was on the couch.
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zac.eth 🧙🏻‍♂️♦️
i've vibe coded 40+ incomplete apps in 3 months launched none of them on purpose the skill to ship is trending to 0 the only moat left is creativity stack concepts now ai will finish them later
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Krish Naik
Krish Naik@Krishnaik06·
I have almost stopped using Chatgpt,Claude or any other chat assistant. The reason is simple our data are storted in the company server. For this now I have created a private AI assitant with openclaw and depoyed in my own vps server and I have created multiple workflow for my daily repetative tasks and integrated with my discord server. So every morning I get all the tasks completed which is currently required me to do my work. Interesting right? Soon a tutorial will be uploaded how you can also create your own private AI assistant
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Arifin Effendi
Arifin Effendi@effendii_·
GILAAA GAISSS, CLAUDE BISA UBAH ARTIKEL JADI CAROUSEL LINKEDIN & INSTAGRAM WOYY!!! Sumpahh gw ga nyangka bangeet, ternyata beneran bisaa bikin carousel untuk LinkedIn & Instagram posts cuman pake Claude!! Awalnya gw skeptiss, tapii abis ngulik2 setengah hari ini akhirnya bisaa!! Liat deh contohnya di bawah, beneran bagus bangeet hasilnya. Dari artikel ke Carousel cuman 3-5 menit doaang, kagak perlu desain di canva wkwkwk. Hasilnya?? Bisa di export jadi image untuk IG & pdf untuk LinkedIn, gokilllll. Kalau lu mau caranya, komen “MAU” nanti gw kirim lewat DM yaa 👇🏻 Wajib follow, like, retweet, dan save post ini biar bisa gw DM 😆
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Polash Khan
Polash Khan@polash_ai·
Claude Code + Nano Banana 2 is f*cking cracked 🤯 I built a skill inside Claude Code that writes JSON image prompts for Nano Banana 2, and the outputs look like they came from a professional photo shoot. One plain-text prompt. Claude rewrites it as structured JSON with lighting, camera, composition, style, and negative prompts. Then fires it off to Nano Banana 2. All inside Claude Code. Perfect for DTC brands and agencies who need high-volume ad creative without booking a shoot. If you're using Nano Banana 2 for product shots and lifestyle images but every generation feels like pulling a slot machine lever — random lighting, inconsistent style, plastic skin, misspelled labels ... This skill fixes the entire output: → You describe what you want in plain English → Claude rewrites it as a structured JSON prompt (lighting, camera angle, lens, depth of field, color grading — all of it) → Fires it to Nano Banana 2 via API → Saves the prompt + image in organized folders → You iterate on the style until it's dialed, then every output matches No more slot machine prompting. No more inconsistent brand imagery. No more burning credits on unusable generations. What you get: - Photo-realistic product shots and lifestyle images on demand - Full control over style, lighting, composition, and camera settings - Saved JSON prompts you can reuse across every campaign - A skill that gets smarter the more feedback you give it Built 100% in Claude Code with a custom skill + Python scripts. I put together a full playbook showing the exact skill, the JSON schema, and the workflow to set this up yourself. Want the full playbook? > Like this post > Comment "BANANA" And I'll send it over (must be following so I can DM)
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Lennex Zinyando
Lennex Zinyando@zinyando·
I accidentally built a local AI inference engine. Never intended to. Just wanted to test some models. Now it has transcription, TTS, voice cloning—all running locally. Writing custom Metal kernels to make it faster. github.com/izwi-ai/izwi
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Wildminder
Wildminder@wildmindai·
3D modeling entirely replaced by stick figures. SK-Adapter brings skeleton-based structural control for native 3D. > Feed it a basic skeleton > Type what you want to see > Get a fully rendered 3D character in under 15 seconds > Already rigged and ready for animation > Zero Blender experience required Game devs are happy. sk-adapter.github.io
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Mike Futia
Mike Futia@mikefutia·
These 10 Claude Code skills are completely insane 🤯 Competitor audits, creative briefs, 20 hook variations, ad copy, static ads, and weekly performance reports. All inside Claude Code. Perfect for DTC brands and agencies who are still prompting Claude from scratch every time — re-explaining your brand voice, re-describing your brief format, and spending 30 minutes before Claude even starts doing useful work. If you're running the same creative workflows every week but starting from zero in every Claude session... These skills eliminate the entire loop: → Competitor Ad Research Agent: Drop a brand name, get a full creative audit: hooks, messaging angles, ad formats, CTAs, and "steal this" angles. No more scrolling the Ad Library for an hour. → Creative Brief Generator: One prompt, complete brief in your exact template. Hooks, concepts, visual direction, brand voice: all loaded from your own files. → Hook & Script Writer: 15+ hooks categorized by type (curiosity, problem-agitation, result-first, social proof). Full 30-60s scripts with hook → problem → mechanism → proof → CTA baked in. → Ad Copy Variation Engine: Feed it one winning ad, get 20 variations: each targeting a different persona and pain point. Same structure, different angles. Creative fatigue solved. → Weekly Report Writer: Drop in your Meta ads CSV. Get the narrative summary, anomaly flags, creative fatigue alerts, and recommended next steps. The report nobody wants to write, done in 60 seconds. → Creative Fatigue Detector: Flags ads before they die. CTR trending down, frequency climbing, conversion rate dropping: caught in hours, not after three days of wasted spend. No re-explaining your brand in every session. No inconsistent output across your team. No prompting from scratch when the workflow is the same every time. 10 skills., copy-paste straight into your Claude Code. They just work. Want the full Skills Pack for free? > Like this post > Comment "SKILLS" And I'll send it over (must be following so I can DM)
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Ramya Chinnadurai 🚀
Experimenting with a dedicated VPS for my company's AI operations. Not my personal assistant. A separate system that runs the business 24/7. Introducing Polaris that takes charge of all my products. What it does right now: • 6 AI agents, each with a role (CTO, Growth, Monitor, COO, Client PM) • Revenue dashboard pulling live from Stripe • 6am: daily revenue report to Slack • 9am: support emails scanned, categorized, replies drafted from past tickets, Notion updated VPS cost: under €10/month. The API calls cost more than the server. Still early. But the system already does more before 9am than I could do in a full morning. Will workout and fine tune on day by day with all the learnings.
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Kanika
Kanika@KanikaBK·
🚨BREAKING: Someone just open-sourced a tool that converts PDFs to markdown at 100 pages per second. 100% FREE. Runs entirely on CPU. No expensive GPUs needed. No cloud. It's called OpenDataLoader PDF. Give it any PDF - scanned documents, scientific papers, multi-column reports, complex tables - and it converts everything into clean Markdown, JSON with bounding boxes, or HTML. Ready to feed straight into any AI pipeline. Not a wrapper around someone else's OCR. Not a basic text extractor. A full document intelligence engine that understands layout, reading order, headings, tables, and formulas. Here's what this thing can do: → Extracts text in the correct reading order across multi-column layouts → Pulls complex borderless tables with 0.93 accuracy — highest of any open-source parser → Detects heading hierarchy, nested lists, and document structure automatically → Runs OCR on scanned PDFs in 80+ languages including Chinese, Arabic, Korean, and Japanese → Extracts math formulas as LaTeX from scientific papers → Gives you bounding boxes for every single element on the page → Describes charts and images using a built-in vision model → Filters prompt injections and hidden text - built-in AI safety that no other parser has Here's why every existing tool loses: They benchmarked it against 200 real-world PDFs including scientific papers and multi-column documents. OpenDataLoader scored 0.90 overall. Docling scored 0.86. Marker scored 0.83 but takes 54 seconds per page. MinerU scored 0.82 at 6 seconds per page. OpenDataLoader local mode? 0.05 seconds per page. That is over 1,000x faster than Marker at nearly the same accuracy. Here's the wildest part: It has two modes. Local mode runs pure Java — 20 pages per second on a basic CPU. Hybrid mode adds an AI backend for complex pages and scores #1 in every category. Run it on an 8-core machine with batch processing and you hit 100+ pages per second. Your documents never leave your machine. Zero API calls. Zero data transmission. 100% local. It even has a built-in AI safety layer that catches hidden text, transparent fonts, and off-page content that other parsers silently pass through to your LLM. One command to install: pip install -U opendataloader-pdf Works with Python, Node.js, and Java. Official LangChain integration included. 3.3K GitHub stars. 478 commits. 51 releases. 13 contributors. Actively maintained. 100% Open Source. Apache 2.0 License.
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