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👁️ How I Track Telegram Users With This Tool Most OSINT investigations stop at the Telegram handle. I don’t stop there. A Telegram account can still give you useful pivots, even if the username changes later: 🆔 Telegram ID 📅 Account creation date 🖼️ Current and previous profile pictures 🔁 Previously used usernames 📝 Previously used display names One tool I use for this is UserSearch. UserSearch can help you: - Pull user information - Pull a user’s old profile pictures - Extract members from a Telegram channel - Collect Telegram channel information - Search public Telegram groups and channels Once you have the current and previous usernames, run them through UserSearch, WhatsMyName or Sherlock. This shows you every platform where those usernames appear. Old profiles = old personal information. 🔗 Tool link: __________ P.S. ♻️ Repost if you found this helpful.

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The #CoreIgnitionDrop Season 1 is ending today, September 11th at 18:29 UTC and Season 2 is starting tomorrow, September 12th at 00:00 UTC🔥 Here is some useful information: 🔸Season 1 rewards will remain claimable (for 6 months as previously announced); 🔸Season 1 badges and invitees will be carried over to Season 2; 🔸All Season 1 participants who don't have an invite code will have one once logged in for Season 2; 🔸Sparks will be reset to 0 when Season 2 starts; 🔸The 3rd claiming phase for Season 1 will take place after Season 2 starts. Stay tuned and get ignited! 🔗

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This video rubs me the wrong way. It’s a dangerous attitude that I see often among people whose confidence is greater than their competence. In climbing, it’s common courtesy to offer “beta” to other climbers. Beta is useful information about a route that usually isn’t found in guidebooks or online. One key piece of beta can save you a lot of trouble, so smart climbers—even professional guides—will take all they can get. 99.9% of the time, when someone offers beta—whether to a man or woman—they’re just trying to help. I get that sexism and "mansplaining" exist, but when you’re engaged in a high-consequence activity, it’s time to check your defensiveness and become a sponge for information. This post isn't just about climbing: God gave us 2 ears and only 1 mouth for a reason... 👂People who listen avoid trouble and more importantly, they learn. Observe the very best at any endeavor and you'll see that they're sponges, never too good to learn something new.

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A Nairobi man is seeking help in tracing two women suspected of drugging and robbing him of valuables worth over Ksh 700,000 after he invited the suspects to his residence following a night out last weekend in Ongata Rongai, Kajiado County. According to available information and CCTV footage, one of the women was seen stepping outside to conduct what appears to be surveillance, while her accomplice allegedly packed the stolen items inside the house. The suspects made away with a silver Apple MacBook Pro 16-inch, an iPhone 14 Pro Max, an iPod Pro Max, a pair of Apple AirPods Max headphones, and KSh 52,000 which was transferred from the victim’s M-PESA account to a phone number that has since been switched off. The footage shows the two women leaving the premises at around 2:55 PM on Saturday while carrying bags believed to contain the stolen items. The victim was reportedly unconscious inside the apartment at the time of the theft. He is now appealing to the public for assistance in identifying the two suspects, hoping that the CCTV footage will prompt anyone with useful information to come forward.

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leopardracer

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THIS IS F*CKING DANGEROUS ex-SpaceXAI employee leaked a second-brain template for Grok Bot. 99% of Grok Bot users don’t know this setup exists your documents, voice notes, research, and past decisions become connected memory. ask why you rejected an idea six months ago, and it retrieves the reasoning and sources. less repeated work, fewer wasted tokens, and answers grounded in what you already know 20 GitHub repos to recreate the setup: 01 Basic Memory → keep knowledge in readable Markdown files that an AI can search and update through MCP. your notes stay accessible outside the chat 02 Cognee → turn documents and conversations into persistent knowledge graphs, connecting decisions to the discussions and evidence behind them 03 MemOS → add a memory layer that stores, retrieves, and manages information across tasks, with feedback for correcting what the system remembers 04 Mem0 → retain useful preferences, facts, and interaction history so connected workflows can retrieve relevant memories in later sessions 05 Graphiti → track relationships and how facts change over time, preserving the difference between what was true before and what is true now 06 LightRAG → combine graph relationships and vector retrieval to find connected information across documents, with support for incremental updates 07 PageIndex → build a navigable tree of a long document so retrieval can find relevant sections with traceable page references 08 Karakeep → collect links, notes, images, and PDFs in a searchable library, with optional automatic tagging and summarization 09 Linkwarden → preserve useful web pages as archived copies, keeping the source available even when the original link disappears 10 Paperless-ngx → turn scanned documents and paperwork into an organized, searchable archive that can feed your knowledge workflow 11 Unstructured → break documents into structured elements so your ingestion pipeline can separate useful content before indexing it 12 MinerU → extract readable content from complex PDFs, scans, tables, and office documents, with references back to document locations 13 whisper.cpp → transcribe recordings locally so spoken ideas and meeting discussions can become searchable text in your archive 14 pgvector → store embeddings alongside your structured data in Postgres, then retrieve related passages with metadata and filters 15 sqlite-vec → add vector search to a lightweight SQLite database for a local memory store without a separate database server 16 Meilisearch → combine keyword and semantic search so your archive can find both an exact project name and a related idea 17 Neo4j → store explicit connections between people, projects, sources, and decisions, then query how those pieces relate 18 watchfiles → detect changed files and trigger updates in your indexing scripts, keeping the archive current without repeatedly processing everything 19 Syncthing → synchronize your knowledge files between computers so the notes you capture and the files your workflow reads stay aligned 20 restic → create encrypted backups and recover previous snapshots when a bad edit or accidental deletion damages your knowledge collection start with one project and one memory backend. connect it to Grok Bot through supported MCP tools, APIs, or local scripts, then add the capture and retrieval pieces you need test it with a question you already know the answer to: “why did we reject this approach?” a useful second brain should bring back the original reasoning, its evidence, and any later decision that replaced it that’s when an old conversation becomes something you can build on months later save this. the work you’ve already done should keep paying you back the article below shows how to reuse that knowledge without loading your entire archive into every Grok Bot conversation ↓

THIS IS F*CKING DANGEROUS ex-SpaceXAI employee leaked a second-brain template for Grok Bot. 99% of Grok Bot users don’t know this setup exists your documents, voice notes, research, and past decisions become connected memory. ask why you rejected an idea six months ago, and it retrieves the reasoning and sources. less repeated work, fewer wasted tokens, and answers grounded in what you already know 20 GitHub repos to recreate the setup: 01 Basic Memory → keep knowledge in readable Markdown files that an AI can search and update through MCP. your notes stay accessible outside the chat 02 Cognee → turn documents and conversations into persistent knowledge graphs, connecting decisions to the discussions and evidence behind them 03 MemOS → add a memory layer that stores, retrieves, and manages information across tasks, with feedback for correcting what the system remembers 04 Mem0 → retain useful preferences, facts, and interaction history so connected workflows can retrieve relevant memories in later sessions 05 Graphiti → track relationships and how facts change over time, preserving the difference between what was true before and what is true now 06 LightRAG → combine graph relationships and vector retrieval to find connected information across documents, with support for incremental updates 07 PageIndex → build a navigable tree of a long document so retrieval can find relevant sections with traceable page references 08 Karakeep → collect links, notes, images, and PDFs in a searchable library, with optional automatic tagging and summarization 09 Linkwarden → preserve useful web pages as archived copies, keeping the source available even when the original link disappears 10 Paperless-ngx → turn scanned documents and paperwork into an organized, searchable archive that can feed your knowledge workflow 11 Unstructured → break documents into structured elements so your ingestion pipeline can separate useful content before indexing it 12 MinerU → extract readable content from complex PDFs, scans, tables, and office documents, with references back to document locations 13 whisper.cpp → transcribe recordings locally so spoken ideas and meeting discussions can become searchable text in your archive 14 pgvector → store embeddings alongside your structured data in Postgres, then retrieve related passages with metadata and filters 15 sqlite-vec → add vector search to a lightweight SQLite database for a local memory store without a separate database server 16 Meilisearch → combine keyword and semantic search so your archive can find both an exact project name and a related idea 17 Neo4j → store explicit connections between people, projects, sources, and decisions, then query how those pieces relate 18 watchfiles → detect changed files and trigger updates in your indexing scripts, keeping the archive current without repeatedly processing everything 19 Syncthing → synchronize your knowledge files between computers so the notes you capture and the files your workflow reads stay aligned 20 restic → create encrypted backups and recover previous snapshots when a bad edit or accidental deletion damages your knowledge collection start with one project and one memory backend. connect it to Grok Bot through supported MCP tools, APIs, or local scripts, then add the capture and retrieval pieces you need test it with a question you already know the answer to: “why did we reject this approach?” a useful second brain should bring back the original reasoning, its evidence, and any later decision that replaced it that’s when an old conversation becomes something you can build on months later save this. the work you’ve already done should keep paying you back the article below shows how to reuse that knowledge without loading your entire archive into every Grok Bot conversation ↓

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