TGINSIGHT SIMILAR POSTS
Source channel @olddriverGDstudy · Post #38 · Mar 17
#知识 性爱技巧 有男生问我：爱爱时很快就射，怎么办？我回答：节奏放慢，不要着急插入，而要做足“三个半小时”： 1️⃣狂吻半小时，吻得她透不过气，吻得她嘴肿，让她深切感受到你对她的真实激情； 2️⃣玩弄半小时，在嘴上继续狂吻，在胯下开始抠摸，抠摸她的阴蒂，抠摸她阴道内的各个兴奋点，抠得她忍不住喘气呻吟，全身扭动而顾不上让你再吻； 3️⃣舔阴半小时，上边放开她的嘴，下边抽出你的手，趴下身去，把你的脸紧贴她的阴部，狂吻她的阴唇，狂舔她的阴蒂，狂吸并且狂咽她的阴液，让她浑身发抖，在高潮中连连叫床……这时，这时，你才可以在她“进来，进来，快进来”的连声央求下，从容不迫地挺身而出，掰开她的双腿，奋力插将进去，并且一插到底！这样，即使你很快就射，她也已经像死猪一样顾不上说你什么了！
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Search: #graph
@Isaiahsystem · Post #1203 · 06/30/2024, 07:23 AM
Related Subreddits丨Reddit 探索神器 https://anvaka.github.io/sayit/?query=Nietzsche 最近发现的爆炸网站，Reddit 相关论坛探索，Reddit 关键词图谱。它能根据你给出的任意论坛名字或关键词，编织出整个论坛与之相关的子板图谱，与之关联。点击图谱按钮，再点击弹出的侧边栏子板名字，即可跳转。 网站提到这种图谱关系生成由「发布到此 Subreddit 的用户也发布过的其它板块」决定，并通过 Jaccard Similarity（衡量两个集合相似度的指标）来最终确定板块相似度。 Reddit 作为我 RSS 常驻网站之一，挖掘得比较少，这个网站可以好好用用。它类似前面用过的 music map 以及各种论文网站图谱，详情见下面 refs. 相关链接 1 可视化图谱 2 搜索引擎终极索引 #search#graph#tools
@githubtrending · Post #14632 · 04/25/2025, 12:00 PM
#python#agents#graph#llms#rag Graphiti helps AI systems handle constantly changing information by building real-time knowledge graphs that track relationships and historical data, allowing them to integrate user interactions, business data, and external sources seamlessly. Unlike traditional methods, it updates information instantly without needing full recomputations, enabling precise historical queries and efficient hybrid searches. This helps AI applications stay context-aware, automate tasks effectively, and manage complex, evolving data with minimal delay. https://github.com/getzep/graphiti
@thedevs · Post #1384 · 02/01/2019, 08:02 PM
Data structures 101: graphs, a visual introduction for beginners. #article#tutorial#data#ds#graph @thedevs https://kutt.it/4S6HBr
@tsukassadrive · Post #3010 · 01/08/2026, 02:55 AM
#twitter#animals#dogs#science#physics#graph#mongolia
@cosplayuploadtest2 · Post #102714 · 03/23/2025, 03:36 AM
Title: Iori_Sagara_相楽伊織,_GIRLS_graph._デジタル写真集_「泡沫の宵夢」_Set.02 Authors: #None Tags: #None#Iori_Sagara_相楽伊織#Nogizaka46_乃木坂46#デジタル写真集#Iori#Sagara#相楽伊織#GIRLS#graph#デジタル写真集 #「泡沫の宵夢」 #Set #02 recommendation: None TelegraphLinks:page-0-32
@cosplayuploadtest2 · Post #102682 · 03/23/2025, 03:34 AM
Title: Iori_Sagara_相楽伊織,_GIRLS_graph._デジタル写真集_「泡沫の宵夢」_Set.01 Authors: #None Tags: #None#Iori_Sagara_相楽伊織#Nogizaka46_乃木坂46#デジタル写真集#Iori#Sagara#相楽伊織#GIRLS#graph#デジタル写真集 #「泡沫の宵夢」 #Set #01 recommendation: None TelegraphLinks:page-0-28
@githubtrending · Post #14649 · 04/30/2025, 01:00 PM
#typescript#csv#diagrams#graph#json#nextjs#react#tool#visualization#yaml JSON Crack is a free, open-source tool that instantly turns complex JSON, YAML, CSV, XML, or TOML data into clear, interactive graphs, making it easier to explore and understand your information. It lets you convert between formats, validate data, generate code (like TypeScript interfaces), run queries, and export visuals as images—all while keeping your data private since everything processes locally on your device[1][2][5]. https://github.com/AykutSarac/jsoncrack.com
@githubtrending · Post #14878 · 06/28/2025, 02:00 PM
#cplusplus#arduino#cansat#csv#embedded#graph#ground_station#iot#microcontroller#network#projects#qt#serial#serial_studio Serial Studio is a free, easy-to-use tool that lets you visualize real-time data from devices like microcontrollers via serial ports, Bluetooth, or network connections. It works on Windows, macOS, and Linux, and offers customizable dashboards with various widgets to monitor sensor data, debug info, or telemetry. You can quickly plot data, export it as CSV for analysis, and even use advanced features like checksum validation and JavaScript data processing. It supports hobbyists, educators, and professionals by simplifying data monitoring and debugging, saving you time and effort in understanding your device’s output. Pro versions add commercial use and extra features[1][4][5]. https://github.com/Serial-Studio/Serial-Studio
@githubtrending · Post #15518 · 02/24/2026, 11:30 AM
#rust#ai#ai_ocr#attention_mechanism#gnn#gnn_model#gnns#graph#graph_neural_networks#llm_inference#low_latency#mincut#neo4j#ocr#onnx#rust#vector#wasm RuVector is a free, open-source vector database that gets smarter with every query. Unlike static databases, it learns from usage via GNN layers, runs LLMs locally with no cloud costs, supports graph queries like Neo4j, scales freely across nodes, and deploys as a single self-booting file (125ms startup). Run with `npx ruvector`. You benefit from faster, more accurate AI search that improves automatically, zero operating costs, full offline/privacy control, and easy scaling—perfect for RAG, agents, or edge apps without vendor lock-in. https://github.com/ruvnet/ruvector