Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Using Expo with real-time synced SQLite means that instead of having to: • manage network requests • handle loading states • implement retry logic • orchestrate state management between your local cache and remote data You just write queries™

PowerSync

1,925 subscribers

51,214 views • 10 months ago •via X (Twitter)

Health & Wellness Science & Technology Education

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

New course: Building Coding Agents with Tool Execution, taught by Tereza Tizkova and Fra from E2B. Most AI agents are limited to predefined function calls. This short course teaches you to build agents that write and execute code to accomplish tasks, accessing entire programming language ecosystems instead of being restricted to a fixed set of tools. You'll learn to run agent-generated code safely in sandboxed cloud environments that protect your systems from harmful operations. Skills you'll gain: - Build agents that write and execute code, manage files, and handle errors autonomously through feedback loops - Run agent code safely in E2B cloud sandboxes and understand tradeoffs between local, containerized, and cloud execution - Create a data analyst agent that explores visualizes data with Pandas - Create a full-stack agent that builds complete Next.js web applications Join and build agents that code their way through complex tasks:

New course: Building Coding Agents with Tool Execution, taught by Tereza Tizkova and Fra from E2B. Most AI agents are limited to predefined function calls. This short course teaches you to build agents that write and execute code to accomplish tasks, accessing entire programming language ecosystems instead of being restricted to a fixed set of tools. You'll learn to run agent-generated code safely in sandboxed cloud environments that protect your systems from harmful operations. Skills you'll gain: - Build agents that write and execute code, manage files, and handle errors autonomously through feedback loops - Run agent code safely in E2B cloud sandboxes and understand tradeoffs between local, containerized, and cloud execution - Create a data analyst agent that explores visualizes data with Pandas - Create a full-stack agent that builds complete Next.js web applications Join and build agents that code their way through complex tasks:

Andrew Ng

203,595 views • 7 months ago

what have I been working on for the last 2 weeks at OpenCode? we are bringing workspaces in as a first-class concept: agents will be able to run anywhere: local directory/container/worktree, remote sandbox, or anything. instead of having a single server that only knows about local directories, the server will act as a "control plane" that routes prompts to where they should go it will manage all of the sessions across these environments and provide a unified layer for all clients to interact with them we will be smart about this: it's not *only* about routing. we will sync all data from remote environments into the local control plane server. this means the remote env can be destroyed, and we will be able to later recreate a new env with exactly the same state. it's reproducible note: this is very early and experimental, the UI you see the video is just a prototype and not guaranteed to make it to prod. We hope to start shipping something soon-ish though!

what have I been working on for the last 2 weeks at OpenCode? we are bringing workspaces in as a first-class concept: agents will be able to run anywhere: local directory/container/worktree, remote sandbox, or anything. instead of having a single server that only knows about local directories, the server will act as a "control plane" that routes prompts to where they should go it will manage all of the sessions across these environments and provide a unified layer for all clients to interact with them we will be smart about this: it's not only about routing. we will sync all data from remote environments into the local control plane server. this means the remote env can be destroyed, and we will be able to later recreate a new env with exactly the same state. it's reproducible note: this is very early and experimental, the UI you see the video is just a prototype and not guaranteed to make it to prod. We hope to start shipping something soon-ish though!

James Long

170,530 views • 4 months ago

The cool thing about local-first web apps is you don't have to choose anymore, which was one of the goals for Thymer: real-time collaboration, E2EE sync, and web access, while your data also lives locally and the app works offline. That means tools like Claude (or local LLMs) can get fast access to your workspace data. There's already an MCP plugin and here's a quick prototype where Claude Code talks directly to offline workspace data stored in the browser DB.

The cool thing about local-first web apps is you don't have to choose anymore, which was one of the goals for Thymer: real-time collaboration, E2EE sync, and web access, while your data also lives locally and the app works offline. That means tools like Claude (or local LLMs) can get fast access to your workspace data. There's already an MCP plugin and here's a quick prototype where Claude Code talks directly to offline workspace data stored in the browser DB.

Wim Cools

31,006 views • 6 months ago

New course on serving LLMs efficiently -- how do you serve models to many concurrent users at low latency and reasonable cost? This short course is built with Red Hat and taught by Cedric Clyburn. Efficient LLM serving requires efficient memory management. A 70B-parameter model takes ~140 GB just to load the weights. On top of that, every active request needs its own chunk of GPU memory, the KV cache, to store the token context it has built up so far. In this course, you'll learn to reduce a model's memory footprint with quantization and serve it using vLLM, which handles many concurrent requests efficiently through smart memory management. Skills you'll gain: - Quantize a model and measure the accuracy tradeoff - Serve a model with vLLM and watch it handle concurrent requests efficiently - Benchmark your deployment and make informed tradeoffs between speed, cost, and accuracy Join and learn to serve LLMs efficiently:

New course on serving LLMs efficiently -- how do you serve models to many concurrent users at low latency and reasonable cost? This short course is built with Red Hat and taught by Cedric Clyburn. Efficient LLM serving requires efficient memory management. A 70B-parameter model takes ~140 GB just to load the weights. On top of that, every active request needs its own chunk of GPU memory, the KV cache, to store the token context it has built up so far. In this course, you'll learn to reduce a model's memory footprint with quantization and serve it using vLLM, which handles many concurrent requests efficiently through smart memory management. Skills you'll gain: - Quantize a model and measure the accuracy tradeoff - Serve a model with vLLM and watch it handle concurrent requests efficiently - Benchmark your deployment and make informed tradeoffs between speed, cost, and accuracy Join and learn to serve LLMs efficiently:

Andrew Ng

124,185 views • 1 month ago

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Akshay 🚀

65,672 views • 8 months ago

Quick demo of Zero’s new background queries. Zero’s sync is query-based. Rather than specifying what data you want using rules or some other separate system, you just use queries. Right inside the client app, you do a query using a full sql-style language. You get filters, subqueries , limits, etc. Zero syncs the data backing these queries to the client. It’s important to realize Zero isn’t really a cache. It’s a replica. It’s eagerly replicating a precise snapshot of a slice of your database - the slice covered by the queries you have open. So there is never stale data in Zero. When you close a query we delete the rows uniquely returned by that query because we can no longer keep them up to date. Of course that kind of sucks for the common case of doing a query, navigating, then pressing “back”. Ideally we want that back nav to be fast. To address this Zero 0.17 adds background queries. You can add a ttl to a query and it will keep running and syncing in the background. This is much different than normal caching because this data stays up to date. If you make the same query again, the results will be *instantly* available *and already up to date with server*. If you make a different query the data from the background query is used client-side to answer the new query instantly if possible. This all happens completely automatically. Just by adding the ttl flag.

Quick demo of Zero’s new background queries. Zero’s sync is query-based. Rather than specifying what data you want using rules or some other separate system, you just use queries. Right inside the client app, you do a query using a full sql-style language. You get filters, subqueries , limits, etc. Zero syncs the data backing these queries to the client. It’s important to realize Zero isn’t really a cache. It’s a replica. It’s eagerly replicating a precise snapshot of a slice of your database - the slice covered by the queries you have open. So there is never stale data in Zero. When you close a query we delete the rows uniquely returned by that query because we can no longer keep them up to date. Of course that kind of sucks for the common case of doing a query, navigating, then pressing “back”. Ideally we want that back nav to be fast. To address this Zero 0.17 adds background queries. You can add a ttl to a query and it will keep running and syncing in the background. This is much different than normal caching because this data stays up to date. If you make the same query again, the results will be instantly available and already up to date with server. If you make a different query the data from the background query is used client-side to answer the new query instantly if possible. This all happens completely automatically. Just by adding the ttl flag.

Aaron Boodman

18,808 views • 1 year ago

President Trump just threw out all medical paperwork 🗑️ 🧵 Alongside Secretary Kennedy and Administrator Oz, Cill the Clipboard was announced. This will digitalize your medical records and give you real time access to your health. This program will allow you to take ownership of your medical records. You will be given the option to share those records with your doctor virtually instead of having to fill out the same paperwork each time at the doctor. Since you have access to your own records, AI can help you manage your health on a daily basis. The admin understands concerns about privacy so you can opt in or out.

President Trump just threw out all medical paperwork 🗑️ 🧵 Alongside Secretary Kennedy and Administrator Oz, Cill the Clipboard was announced. This will digitalize your medical records and give you real time access to your health. This program will allow you to take ownership of your medical records. You will be given the option to share those records with your doctor virtually instead of having to fill out the same paperwork each time at the doctor. Since you have access to your own records, AI can help you manage your health on a daily basis. The admin understands concerns about privacy so you can opt in or out.

Anna Matson

26,003 views • 11 months ago

Introducing CannerAI The AI-powered workspace that takes care of your content management from research to publishing in minutes. CannerAI doesn’t write AI slop. It: • Studies your past posts • Learns your writing style and improve • Deep research topics in real-time • Drafts posts that sound just like YOU • Currently supports Linkedin and X , will be adding more platforms soon First 200 users get early bird pricing →

Introducing CannerAI The AI-powered workspace that takes care of your content management from research to publishing in minutes. CannerAI doesn’t write AI slop. It: • Studies your past posts • Learns your writing style and improve • Deep research topics in real-time • Drafts posts that sound just like YOU • Currently supports Linkedin and X , will be adding more platforms soon First 200 users get early bird pricing →

Piyush Sachdeva - Building ReelDrop + CannerAI 🚀

17,781 views • 4 months ago

I just built this CRACKED Cursor MCP extension that makes your IDE fully aware of all the logs in your browser. Was struggling with a few issues recently and kept having to copy/paste logs but with this tool you can: ✅ Check all console logs + errors ✅ Analyze network requests, responses and errors ✅ Make changes to a selected element in your browser ✅ Take screenshots of your browser ... without EVER having to leave your IDE 🦾 Open source, FREE and compatible with Cursor, Cline, Continue and Zed. Link to the docs with setup instructions down below 👇

I just built this CRACKED Cursor MCP extension that makes your IDE fully aware of all the logs in your browser. Was struggling with a few issues recently and kept having to copy/paste logs but with this tool you can: ✅ Check all console logs + errors ✅ Analyze network requests, responses and errors ✅ Make changes to a selected element in your browser ✅ Take screenshots of your browser ... without EVER having to leave your IDE 🦾 Open source, FREE and compatible with Cursor, Cline, Continue and Zed. Link to the docs with setup instructions down below 👇

Ted Werbel

179,882 views • 1 year ago

Joe Rogan: “Intelligence agencies have spent an enormous amount of money and time studying remote viewing.” “Why?” “Why would they invest that much in something if there’s no evidence?” “If you listen to the stories of Hal Puthoff and all these different people that have been involved in these remote viewing experiments, they had actionable data that they derived specifically from remote viewing.” “We can measure brainwaves.” “We understand that the state of mind is not a static thing.” “There’s a bunch of different shit going on in your mind at any given time.” “Remote viewing, which is some very bizarre connection that some people have to reality that’s nowhere near local, they can describe things in detail.” “There’s something there … ” Joe Rogan Dean Radin

Joe Rogan: “Intelligence agencies have spent an enormous amount of money and time studying remote viewing.” “Why?” “Why would they invest that much in something if there’s no evidence?” “If you listen to the stories of Hal Puthoff and all these different people that have been involved in these remote viewing experiments, they had actionable data that they derived specifically from remote viewing.” “We can measure brainwaves.” “We understand that the state of mind is not a static thing.” “There’s a bunch of different shit going on in your mind at any given time.” “Remote viewing, which is some very bizarre connection that some people have to reality that’s nowhere near local, they can describe things in detail.” “There’s something there … ” Joe Rogan Dean Radin

Holden Culotta

40,867 views • 1 month ago

"In the future, you won't need any software at all. The neural network will completely replace it." - stephen balaban, co-founder of Lambda "Here's the idea: instead of generating a program, just go to ChatGPT and say, 'Hi, please behave like a calculator or a spreadsheet.'" "'Generate an ASCII user interface for me. And I want you to essentially just respond, implement the logic of that program in your mind.'" "This is what I call neural software. Normal software is really brittle. 'Neural software' can't have bugs, only misunderstandings." "Large language models will be the software you interact with."

"In the future, you won't need any software at all. The neural network will completely replace it." - stephen balaban, co-founder of Lambda "Here's the idea: instead of generating a program, just go to ChatGPT and say, 'Hi, please behave like a calculator or a spreadsheet.'" "'Generate an ASCII user interface for me. And I want you to essentially just respond, implement the logic of that program in your mind.'" "This is what I call neural software. Normal software is really brittle. 'Neural software' can't have bugs, only misunderstandings." "Large language models will be the software you interact with."

TBPN

178,100 views • 1 year ago

This is the best clip on how Kevin Warsh taking over as Fed Chair might impact rates For the first time we'lll have real-time inflation data instead of legacy method of just surveying 8,000 ppl When the Fed starts using Ai & new data do you think the real inflation number is higher or lower than the official numbers today? And how does that impact cuts or hikes... That's the real variable to solve for. New era for the fed.

This is the best clip on how Kevin Warsh taking over as Fed Chair might impact rates For the first time we'lll have real-time inflation data instead of legacy method of just surveying 8,000 ppl When the Fed starts using Ai & new data do you think the real inflation number is higher or lower than the official numbers today? And how does that impact cuts or hikes... That's the real variable to solve for. New era for the fed.

Luke Martin

127,739 views • 2 months ago

Everyone is building RAG applications, but nobody is talking about the data these systems use. You are delusional if you think clients will have their data sitting in a folder waiting for you to process it. Data is everywhere: in Google Drive, Dropbox, S3, Gmail, Slack, you name it. And, of course, no sane developer wants to build connections to every one of these systems. This would be suicide. I'm working with Ragie, and they released Ragie Connect to solve this problem. First, their RAG system is top-notch (they have published how they do on several RAG benchmarks), and with Connect, they made it very simple to integrate client data without having to write any code. (Well, in reality, you still have to write a few lines, but it's minimal.) Instead of developing one-off integrations for Drive, Dropbox, etc, you can use Connect to integrate with all of them and let Ragie handle authentication, authorization, and automatic data synchronization. This is a huge time saver!

Everyone is building RAG applications, but nobody is talking about the data these systems use. You are delusional if you think clients will have their data sitting in a folder waiting for you to process it. Data is everywhere: in Google Drive, Dropbox, S3, Gmail, Slack, you name it. And, of course, no sane developer wants to build connections to every one of these systems. This would be suicide. I'm working with Ragie, and they released Ragie Connect to solve this problem. First, their RAG system is top-notch (they have published how they do on several RAG benchmarks), and with Connect, they made it very simple to integrate client data without having to write any code. (Well, in reality, you still have to write a few lines, but it's minimal.) Instead of developing one-off integrations for Drive, Dropbox, etc, you can use Connect to integrate with all of them and let Ragie handle authentication, authorization, and automatic data synchronization. This is a huge time saver!

Santiago

72,976 views • 1 year ago

Most of us think we’re setting boundaries… but we’re actually just making requests. Dr. Becky Kennedy explains the crucial difference: A real boundary isn’t telling someone else what to do. It’s clearly stating what you will do if the behavior continues. Example: Instead of repeatedly saying “turn off the TV” and getting ignored, a true boundary sounds like: “If you haven’t turned it off by the time I get there, I’ll take the remote and shut it off myself.” Same with jumping on the couch or an intrusive in-law showing up unannounced. You stop hoping they’ll magically respect your words and instead take ownership of your own action. It removes guilt, role confusion, and the constant power struggle — and gives kids (and adults) the sturdy leadership they actually need. This one shift completely changed how I think about boundaries. Have you ever realized you were making requests instead of setting real boundaries? How did things change when you switched?

Most of us think we’re setting boundaries… but we’re actually just making requests. Dr. Becky Kennedy explains the crucial difference: A real boundary isn’t telling someone else what to do. It’s clearly stating what you will do if the behavior continues. Example: Instead of repeatedly saying “turn off the TV” and getting ignored, a true boundary sounds like: “If you haven’t turned it off by the time I get there, I’ll take the remote and shut it off myself.” Same with jumping on the couch or an intrusive in-law showing up unannounced. You stop hoping they’ll magically respect your words and instead take ownership of your own action. It removes guilt, role confusion, and the constant power struggle — and gives kids (and adults) the sturdy leadership they actually need. This one shift completely changed how I think about boundaries. Have you ever realized you were making requests instead of setting real boundaries? How did things change when you switched?

Camus

24,415 views • 3 months ago

I just built an AI agent that’s 10x smarter than anything using basic search APIs. Here’s what nobody’s telling you about AI development right now. Most developers are stuck using limited search APIs. They’re missing social media data, forums, live news, and answer engines. Their AI is effectively blind to 90% of the public web. The result: Stale data. Weak responses. And endless engineering overhead just to stitch everything together. What changed everything for me was Bright Data’s Web Discovery platform. Instead of juggling multiple APIs and unreliable sources, I got real-time access to every public data source through one unified API. Google. Bing. Twitter. Reddit. Instagram. TikTok. ChatGPT. Perplexity. Even historical web archives going back years. Here’s why this actually matters in practice: • One API instead of 10+ fragmented integrations • Real-time, constantly refreshed public web data • Coverage across search engines, social platforms, forums, and answer engines • Consistent data structure that just works • Way less time fighting data plumbing, way more time building intelligence I used it to build a real-time pricing monitor that tracks competitor pricing, social sentiment, and trending topics at the same time. Something that would’ve taken weeks of integration work happened in a single afternoon. The real breakthrough isn’t just access. It’s consistency. Reliability. And freedom. If you’re building search agents, RAG pipelines, or any AI-driven product, you’re handicapping yourself without comprehensive web data. Check the link in the comments to try it yourself. They’re offering trial credits, and the documentation is actually solid. This is the difference between AI products that work and AI products that dominate. Check it out here:

I just built an AI agent that’s 10x smarter than anything using basic search APIs. Here’s what nobody’s telling you about AI development right now. Most developers are stuck using limited search APIs. They’re missing social media data, forums, live news, and answer engines. Their AI is effectively blind to 90% of the public web. The result: Stale data. Weak responses. And endless engineering overhead just to stitch everything together. What changed everything for me was Bright Data’s Web Discovery platform. Instead of juggling multiple APIs and unreliable sources, I got real-time access to every public data source through one unified API. Google. Bing. Twitter. Reddit. Instagram. TikTok. ChatGPT. Perplexity. Even historical web archives going back years. Here’s why this actually matters in practice: • One API instead of 10+ fragmented integrations • Real-time, constantly refreshed public web data • Coverage across search engines, social platforms, forums, and answer engines • Consistent data structure that just works • Way less time fighting data plumbing, way more time building intelligence I used it to build a real-time pricing monitor that tracks competitor pricing, social sentiment, and trending topics at the same time. Something that would’ve taken weeks of integration work happened in a single afternoon. The real breakthrough isn’t just access. It’s consistency. Reliability. And freedom. If you’re building search agents, RAG pipelines, or any AI-driven product, you’re handicapping yourself without comprehensive web data. Check the link in the comments to try it yourself. They’re offering trial credits, and the documentation is actually solid. This is the difference between AI products that work and AI products that dominate. Check it out here:

Hasan Toor

100,511 views • 5 months ago

For a long time, software was limited by how fast people could write code, and how good that code was. As models have improved, that constraint has largely disappeared. Now the bottleneck is access: what surfaces can your agents actually reach? Those interaction layers sit on top of coding agents, the kernel that turns prompts into real-world impact. With Notion's custom agents, we pushed this further. They adapt to your work style as you collaborate with them, using the same deterministic logic that powers coding agents. Simon Last sarah guo

For a long time, software was limited by how fast people could write code, and how good that code was. As models have improved, that constraint has largely disappeared. Now the bottleneck is access: what surfaces can your agents actually reach? Those interaction layers sit on top of coding agents, the kernel that turns prompts into real-world impact. With Notion's custom agents, we pushed this further. They adapt to your work style as you collaborate with them, using the same deterministic logic that powers coding agents. Simon Last sarah guo

Notion Developers

25,065 views • 3 months ago

"In the future, you won't need any software at all. The neural network will completely replace it." - stephen balaban, co-founder of Lambda "Here's the idea: instead of generating a program, just go to ChatGPT and say, 'Hi, please behave like a calculator or a spreadsheet.'" "'Generate an ASCII user interface for me. And I want you to essentially just respond, implement the logic of that program in your mind.'" "This is what I call neural software. Normal software is really brittle. 'Neural software' can't have bugs, only misunderstandings." "Large language models will be the software you interact with." From Stephen's appearance on the show in May.

"In the future, you won't need any software at all. The neural network will completely replace it." - stephen balaban, co-founder of Lambda "Here's the idea: instead of generating a program, just go to ChatGPT and say, 'Hi, please behave like a calculator or a spreadsheet.'" "'Generate an ASCII user interface for me. And I want you to essentially just respond, implement the logic of that program in your mind.'" "This is what I call neural software. Normal software is really brittle. 'Neural software' can't have bugs, only misunderstandings." "Large language models will be the software you interact with." From Stephen's appearance on the show in May.

TBPN

28,665 views • 8 months ago

Today, I’m excited to announce our new product: Merge Agent Handler! With the growth of AI, we've seen demand for both synced connectors to power enterprise search and deterministic use cases, and live connectors that let agents take real-time actions. And now, with Merge, you can have both. Merge Agent Handler securely connects your AI agents to thousands of pre-built tools via MCP. The platform also comes with authentication, credential management, monitoring, logging, and enterprise-grade security. Huge shout out to the team who worked tirelessly to bring this to life.

Today, I’m excited to announce our new product: Merge Agent Handler! With the growth of AI, we've seen demand for both synced connectors to power enterprise search and deterministic use cases, and live connectors that let agents take real-time actions. And now, with Merge, you can have both. Merge Agent Handler securely connects your AI agents to thousands of pre-built tools via MCP. The platform also comes with authentication, credential management, monitoring, logging, and enterprise-grade security. Huge shout out to the team who worked tirelessly to bring this to life.

Shensi Ding

45,064 views • 9 months ago

Today’s message: Don’t let wearables (Apple Watches, Garmin watches and Oura rings) dominate and control your life. It’s all just data and while that data can be important to track if you’re into health, wellness and longevity, don’t let it keep you from living it up and having a good time. It’s okay to get some drinks and party from time to time. Those moments we have with the people closest to us - friends, family members, significant others, where we’re laughing, being present, enjoying each others company and having deep convos are some of the best times and memories we share together as people. Don’t let technology and data hold you back from that. 🤙🏻💪🏻

Today’s message: Don’t let wearables (Apple Watches, Garmin watches and Oura rings) dominate and control your life. It’s all just data and while that data can be important to track if you’re into health, wellness and longevity, don’t let it keep you from living it up and having a good time. It’s okay to get some drinks and party from time to time. Those moments we have with the people closest to us - friends, family members, significant others, where we’re laughing, being present, enjoying each others company and having deep convos are some of the best times and memories we share together as people. Don’t let technology and data hold you back from that. 🤙🏻💪🏻

Chase Senior

12,384 views • 1 month ago

Proof Michigan Elections are RIGGED “Going into the 2024 election, Michigan had 500,000 more registered voters than we have voting age adults” 🚨 Michigan Secretary of State is mass sending out voter registrations. She then is denying Freedom of Information Act requests for the data Michigan is a slow or no growth state of 10 million people. So how did Michigan Secondary of State Jocelyn Benson find 750,000 new voters just between July and October? Shout out to Anna Hoffman for that report, by the way.” She’s doing it with a system called ERIC “ERIC, the electronic registration information Michigan Secretary of State, Jocelyn Benson, officially states joined ERIC to compare their voter rolls and eliminate duplicates. In reality, Eric finds eligible but unregistered adults in each state, and member states are required to reach out to them. We've sent Jocelyn Benson Foyers for the eligible but unregistered reports that ERIC sent to Michigan. Despite calling herself the transparency candidate, Benson has denied them. In September 2020, using ERIC data, Benson sent postcards to 700,000 eligible but unregistered adults in Michigan.”

Proof Michigan Elections are RIGGED “Going into the 2024 election, Michigan had 500,000 more registered voters than we have voting age adults” 🚨 Michigan Secretary of State is mass sending out voter registrations. She then is denying Freedom of Information Act requests for the data Michigan is a slow or no growth state of 10 million people. So how did Michigan Secondary of State Jocelyn Benson find 750,000 new voters just between July and October? Shout out to Anna Hoffman for that report, by the way.” She’s doing it with a system called ERIC “ERIC, the electronic registration information Michigan Secretary of State, Jocelyn Benson, officially states joined ERIC to compare their voter rolls and eliminate duplicates. In reality, Eric finds eligible but unregistered adults in each state, and member states are required to reach out to them. We've sent Jocelyn Benson Foyers for the eligible but unregistered reports that ERIC sent to Michigan. Despite calling herself the transparency candidate, Benson has denied them. In September 2020, using ERIC data, Benson sent postcards to 700,000 eligible but unregistered adults in Michigan.”

Wall Street Apes

160,079 views • 6 months ago