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🤯 Wow I can't believe I'm open sourcing the email platform we built internally. Self-hosted, runs on your own AWS SES. You pay Amazon Web Services $0.10 per 1,000 emails instead of a SaaS markup, and your email data never leaves your infra. MIT licensed. Here's what it does 🧵

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Vijay Tupakula

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177,412 просмотров • 1 месяц назад •via X (Twitter)

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Google Translate is cooked after this. A developer built a local AI translation engine that runs 40 languages entirely on your own laptop. It's called LibreTranslate. No API key. No usage limits. No sending your documents to Google's servers. You install it once. It runs forever. Here's what it handles: → Paste text. Translated instantly. → Drop in a file. Outputs the translated version. → Point it at a URL. Returns the page in your language. → Build it into your own app via its local REST API. The speed is not the story. The privacy is. Google Translate reads every sentence you paste into it. Legal contracts. Medical records. Internal emails. Client documents. Every word goes to their servers and stays there. LibreTranslate runs entirely offline. Nothing leaves your machine. Ever. The numbers: → 40 languages supported → Runs on CPU -- no GPU needed → Self-hosted in under 5 minutes → REST API built in for developers → 10K+ stars on GitHub 100% open source. MIT licensed. Price: $0. Google charges nothing for Translate either but it charges you something else. GitHub:
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Google Translate is cooked after this. A developer built a local AI translation engine that runs 40 languages entirely on your own laptop. It's called LibreTranslate. No API key. No usage limits. No sending your documents to Google's servers. You install it once. It runs forever. Here's what it handles: → Paste text. Translated instantly. → Drop in a file. Outputs the translated version. → Point it at a URL. Returns the page in your language. → Build it into your own app via its local REST API. The speed is not the story. The privacy is. Google Translate reads every sentence you paste into it. Legal contracts. Medical records. Internal emails. Client documents. Every word goes to their servers and stays there. LibreTranslate runs entirely offline. Nothing leaves your machine. Ever. The numbers: → 40 languages supported → Runs on CPU -- no GPU needed → Self-hosted in under 5 minutes → REST API built in for developers → 10K+ stars on GitHub 100% open source. MIT licensed. Price: $0. Google charges nothing for Translate either but it charges you something else. GitHub:

Rimsha Bhardwaj

89,515 просмотров • 2 месяцев назад

PewDiePie just hit 20K GitHub stars in under 24 hours. The project? Odysseus. A self-hosted AI workspace that runs 100% on your machine. • Agents with tools • MCP built in • Persistent memory • File handling • Windows, macOS, Linux Your data never leaves your device. It supports Ollama, llama.cpp, and vLLM locally with OpenAI and OpenRouter support if you want cloud models too. The crazy part? A YouTuber with 110M+ subscribers just out-shipped most AI startups. And he built half of it using AI.
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PewDiePie just hit 20K GitHub stars in under 24 hours. The project? Odysseus. A self-hosted AI workspace that runs 100% on your machine. • Agents with tools • MCP built in • Persistent memory • File handling • Windows, macOS, Linux Your data never leaves your device. It supports Ollama, llama.cpp, and vLLM locally with OpenAI and OpenRouter support if you want cloud models too. The crazy part? A YouTuber with 110M+ subscribers just out-shipped most AI startups. And he built half of it using AI.

Charlie Hills

16,546 просмотров • 3 месяцев назад

You can now design high-converting, on-brand, ready-to-send emails directly inside of Claude (‼️) So many ecom brands have been telling me the same thing recently. "We're using Claude for everything, and it knows everything about our brand, our products, our customers, our ad performance, etc." They don't want to start teaching another platform about their brand all over again. They want to use everything that Claude already knows as the foundation for strategizing and designing their emails. So we built a connector that plugs directly into your Claude account. Now inside your Claude account, you can: → Generate high-converting email campaign ideas and strategy → Generate on-brand copy → Design on-brand emails → Click one button and schedule the designed emails in Klaviyo Zero manual work. Zero excuses to not be sending at least 2-3 email campaigns per week and generating easy revenue and a high ROI on your Klaviyo bill. Comment "AUTOMATE" and I'll send over instructions on how to set up our connector in your Claude account to start automating your email marketing end-to-end.
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You can now design high-converting, on-brand, ready-to-send emails directly inside of Claude (‼️) So many ecom brands have been telling me the same thing recently. "We're using Claude for everything, and it knows everything about our brand, our products, our customers, our ad performance, etc." They don't want to start teaching another platform about their brand all over again. They want to use everything that Claude already knows as the foundation for strategizing and designing their emails. So we built a connector that plugs directly into your Claude account. Now inside your Claude account, you can: → Generate high-converting email campaign ideas and strategy → Generate on-brand copy → Design on-brand emails → Click one button and schedule the designed emails in Klaviyo Zero manual work. Zero excuses to not be sending at least 2-3 email campaigns per week and generating easy revenue and a high ROI on your Klaviyo bill. Comment "AUTOMATE" and I'll send over instructions on how to set up our connector in your Claude account to start automating your email marketing end-to-end.

Elliot Kovac

19,727 просмотров • 4 месяцев назад

SOMEONE GOT TIRED OF PAYING HIGGSFIELD AI'S SUBSCRIPTION SO HE REBUILT THE WHOLE THING AND OPEN-SOURCED IT 200+ models. text-to-image, image-to-image, text-to-video, image-to-video all in one interface you configure a virtual camera in the Cinema Studio. pick the body, the lens, the focal length, the aperture and it writes the optimized cinematic prompt for you. completely in the background you never touch the camera keywords. you just set up the shot like a real cinematographer would Kling v3, Sora 2, Veo 3, Flux Dev, Midjourney v7, GPT-4o, Seedream 5.0, Runway Gen-3 all in there self-hosted. MIT licensed. runs on your machine. your data stays local the only thing you pay for is the model API calls themselves someone built this so you never have to pay Higgsfield AI again
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SOMEONE GOT TIRED OF PAYING HIGGSFIELD AI'S SUBSCRIPTION SO HE REBUILT THE WHOLE THING AND OPEN-SOURCED IT 200+ models. text-to-image, image-to-image, text-to-video, image-to-video all in one interface you configure a virtual camera in the Cinema Studio. pick the body, the lens, the focal length, the aperture and it writes the optimized cinematic prompt for you. completely in the background you never touch the camera keywords. you just set up the shot like a real cinematographer would Kling v3, Sora 2, Veo 3, Flux Dev, Midjourney v7, GPT-4o, Seedream 5.0, Runway Gen-3 all in there self-hosted. MIT licensed. runs on your machine. your data stays local the only thing you pay for is the model API calls themselves someone built this so you never have to pay Higgsfield AI again

Rimsha Bhardwaj

101,371 просмотров • 4 месяцев назад

10 emails you should send this week to upgrade your life. None of these take more than 5 minutes. 1. Email a man making 10x your income asking ONE question about his industry. Be specific. No "can I pick your brain." 2. Email a high school friend you have not spoken to in 5 years. The ones who got rich are the ones who kept their network warm. 3. Email your bank asking for a fee waiver on your account. They give it to anyone who asks. Most people never ask. 4. Email a local business owner offering a free week of work. Pick one with a clear weakness (bad website, no social media). Free week becomes paid client. 5. Email your old boss thanking him for hiring you. Even if you hated it. The relationship is worth more than the grudge. 6. Email a podcast you listen to with a guest suggestion (not yourself). They will remember the man who helped them, not the man who pitched himself. 7. Email your CRM provider, internet provider, gym - asking what loyalty discount is available. 3 of 5 will give you 10-30% off. 8. Email a creator you admire offering to edit their next video for free. Free becomes paid in 60 days if your work is good. 9. Email a mentor you respect saying THANK YOU and naming the specific lesson that changed you. They get pitched 100 times - thanked maybe twice a year. 10. Email your future self at 35 describing the man you are today. Open it in 7 years. Most men will not send any of these. The ones who send 5 will compound for the next decade.
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10 emails you should send this week to upgrade your life. None of these take more than 5 minutes. 1. Email a man making 10x your income asking ONE question about his industry. Be specific. No "can I pick your brain." 2. Email a high school friend you have not spoken to in 5 years. The ones who got rich are the ones who kept their network warm. 3. Email your bank asking for a fee waiver on your account. They give it to anyone who asks. Most people never ask. 4. Email a local business owner offering a free week of work. Pick one with a clear weakness (bad website, no social media). Free week becomes paid client. 5. Email your old boss thanking him for hiring you. Even if you hated it. The relationship is worth more than the grudge. 6. Email a podcast you listen to with a guest suggestion (not yourself). They will remember the man who helped them, not the man who pitched himself. 7. Email your CRM provider, internet provider, gym - asking what loyalty discount is available. 3 of 5 will give you 10-30% off. 8. Email a creator you admire offering to edit their next video for free. Free becomes paid in 60 days if your work is good. 9. Email a mentor you respect saying THANK YOU and naming the specific lesson that changed you. They get pitched 100 times - thanked maybe twice a year. 10. Email your future self at 35 describing the man you are today. Open it in 7 years. Most men will not send any of these. The ones who send 5 will compound for the next decade.

The Real World App

148,412 просмотров • 4 месяцев назад

1.7 billion free tokens per month. A month ago i showed you how to route claude code through free providers. someone just shipped the cleanest version of this setup yet… it's called Freellmapi 13,400+ stars on github, MIT licensed, takes 2 minutes to install. what it does: stacks the free tiers of 16 different LLM providers behind one local API. point claude code, codex, or cursor at that one endpoint, and it automatically routes your calls across all 16 free pools. The 16 providers it covers: Google, Groq, Cerebras, Mistral, OpenRouter, GitHub Models, Cloudflare, Cohere, NVIDIA, HuggingFace, Ollama Cloud, Kilo, Pollinations, LLM7, OVH, and OpenCode Zen. if you sign up to all 16 and add your free API keys, you get roughly 1.7 billion free tokens per month combined. ▫️ How to install (one command) curl -fsSL bash this runs the whole thing locally on your machine through Docker. once it's up, open paste your provider keys on the Keys page, and grab the unified API key from the dashboard. that's the key you point your apps at. With this, claude code stops hitting your monthly cap because every prompt routes through the 16 free pools instead of your paid plan. and if one provider rate-limits mid-conversation, freellmapi falls over to the next one automatically so your session never breaks. repo: Free, MIT-licensed, runs on your laptop or a $5 VPS.
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1.7 billion free tokens per month. A month ago i showed you how to route claude code through free providers. someone just shipped the cleanest version of this setup yet… it's called Freellmapi 13,400+ stars on github, MIT licensed, takes 2 minutes to install. what it does: stacks the free tiers of 16 different LLM providers behind one local API. point claude code, codex, or cursor at that one endpoint, and it automatically routes your calls across all 16 free pools. The 16 providers it covers: Google, Groq, Cerebras, Mistral, OpenRouter, GitHub Models, Cloudflare, Cohere, NVIDIA, HuggingFace, Ollama Cloud, Kilo, Pollinations, LLM7, OVH, and OpenCode Zen. if you sign up to all 16 and add your free API keys, you get roughly 1.7 billion free tokens per month combined. ▫️ How to install (one command) curl -fsSL bash this runs the whole thing locally on your machine through Docker. once it's up, open paste your provider keys on the Keys page, and grab the unified API key from the dashboard. that's the key you point your apps at. With this, claude code stops hitting your monthly cap because every prompt routes through the 16 free pools instead of your paid plan. and if one provider rate-limits mid-conversation, freellmapi falls over to the next one automatically so your session never breaks. repo: Free, MIT-licensed, runs on your laptop or a $5 VPS.

Axel Bitblaze 🪓

47,734 просмотров • 2 месяцев назад

Cancel your $200/mo Ahrefs subscription 🤯 Claude Code can now run your SEO for you. Point it at your Search Console and it finds the wins, writes the fixes, and renders a live dashboard off your own data. All inside Claude Code. Perfect for DTC brands and agencies sitting on months of Search Console data nobody has time to read. Here's what it does: → Connects to your Search Console and GA4 through one guided setup that routes around Google's auth landmines → Finds the keywords sitting at positions 4 to 20 and scores them by the clicks you're leaving on the table → Ships the fix instead of naming it, with the rewritten title, the headings, and paste-ready content → Turns redirect chains, broken canonicals, and slow pages into dev tickets ranked by traffic at risk → Maps every query into hub-and-spoke clusters and flags where your own pages compete with each other → Drops a Monday report with week-over-week movement and exactly 3 priorities What you get: → 9 skills in one plugin, from the Google setup through to the Monday report → A live SEO dashboard with a 0 to 100 health score, rendered as one self-contained HTML file → Orphan pages and money-page link gaps, listed paste-ready → Content drafted from your own search data instead of a keyword tool's guesses Built 100% in Claude Code on your Search Console and GA4 data. 📌 Get the free plugin here:
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Cancel your $200/mo Ahrefs subscription 🤯 Claude Code can now run your SEO for you. Point it at your Search Console and it finds the wins, writes the fixes, and renders a live dashboard off your own data. All inside Claude Code. Perfect for DTC brands and agencies sitting on months of Search Console data nobody has time to read. Here's what it does: → Connects to your Search Console and GA4 through one guided setup that routes around Google's auth landmines → Finds the keywords sitting at positions 4 to 20 and scores them by the clicks you're leaving on the table → Ships the fix instead of naming it, with the rewritten title, the headings, and paste-ready content → Turns redirect chains, broken canonicals, and slow pages into dev tickets ranked by traffic at risk → Maps every query into hub-and-spoke clusters and flags where your own pages compete with each other → Drops a Monday report with week-over-week movement and exactly 3 priorities What you get: → 9 skills in one plugin, from the Google setup through to the Monday report → A live SEO dashboard with a 0 to 100 health score, rendered as one self-contained HTML file → Orphan pages and money-page link gaps, listed paste-ready → Content drafted from your own search data instead of a keyword tool's guesses Built 100% in Claude Code on your Search Console and GA4 data. 📌 Get the free plugin here:

Mike Futia

18,460 просмотров • 11 дней назад

open-sourced the KOL pricing tool i built for Minara AI growth. paste an X handle, get back in 5 seconds: - tier (trader / NFT / builder / influencer / mass + tool-builder overlay) - cash range + ROI per collab type - claude-drafted DM that quotes their actual recent tweets It's a self-hosted vue app that runs locally on your PC. you will need to fill in your own X & LLM API keys. And all rating records stay on your PC as well. also you can change the KOL type based on your product type, "CEX", "defi", "tradfi", etc. repo link in comments.
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open-sourced the KOL pricing tool i built for Minara AI growth. paste an X handle, get back in 5 seconds: - tier (trader / NFT / builder / influencer / mass + tool-builder overlay) - cash range + ROI per collab type - claude-drafted DM that quotes their actual recent tweets It's a self-hosted vue app that runs locally on your PC. you will need to fill in your own X & LLM API keys. And all rating records stay on your PC as well. also you can change the KOL type based on your product type, "CEX", "defi", "tradfi", etc. repo link in comments.

antoniayly

17,923 просмотров • 3 месяцев назад

🚨 JUST IN: CHINA just released an AI EMPLOYEE that works 24X7 on its own. 100% OPEN SOURCE. It researches, codes, builds websites, creates slide decks, and generates videos. All by itself. All on your computer. It's called DeerFlow. You give it a task. It makes a plan, spins up its own team of sub-agents, and gets to work. You come back and there's a finished deliverable waiting. Not a draft. Not a summary. The actual thing. Not a chatbot. Not a research assistant. An AI with its own computer that works while you sleep. Here's what it does on its own: → Spawns multiple sub-agents in parallel, each tackling a different piece of your task, then combines everything into one finished output → Writes real code, runs it, reads the results, and fixes its own mistakes without asking you once → Builds slide decks, websites, full research reports, and data dashboards from scratch → Remembers you across sessions. Your writing style. Your tech stack. Your preferences. Gets better every time. → Reads files you upload, works with them inside its own filesystem, hands you clean finished outputs → Searches the web, runs commands, calls any tool you plug in Here's how it thinks: You give one instruction. The lead agent makes a plan. Sub-agents fan out and work in parallel. Results come back. Everything gets synthesized. You get a deliverable. A single research task might split into a dozen sub-agents, each exploring a different angle, then converge into one finished website with generated visuals. Here's the wildest part: DeerFlow 2.0 launched on February 28th 2026 and hit number 1 on all of GitHub Trending the same day. Version 2.0 was a complete rewrite. Zero shared code with version 1. Because users kept using it for things the team never intended. Data pipelines. Dashboards. Entire content workflows. The community told them what it needed to become. So they burned it down and rebuilt it. 22.7K GitHub stars. 2.7K forks. Built by ByteDance 100% Open Source. MIT License.
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🚨 JUST IN: CHINA just released an AI EMPLOYEE that works 24X7 on its own. 100% OPEN SOURCE. It researches, codes, builds websites, creates slide decks, and generates videos. All by itself. All on your computer. It's called DeerFlow. You give it a task. It makes a plan, spins up its own team of sub-agents, and gets to work. You come back and there's a finished deliverable waiting. Not a draft. Not a summary. The actual thing. Not a chatbot. Not a research assistant. An AI with its own computer that works while you sleep. Here's what it does on its own: → Spawns multiple sub-agents in parallel, each tackling a different piece of your task, then combines everything into one finished output → Writes real code, runs it, reads the results, and fixes its own mistakes without asking you once → Builds slide decks, websites, full research reports, and data dashboards from scratch → Remembers you across sessions. Your writing style. Your tech stack. Your preferences. Gets better every time. → Reads files you upload, works with them inside its own filesystem, hands you clean finished outputs → Searches the web, runs commands, calls any tool you plug in Here's how it thinks: You give one instruction. The lead agent makes a plan. Sub-agents fan out and work in parallel. Results come back. Everything gets synthesized. You get a deliverable. A single research task might split into a dozen sub-agents, each exploring a different angle, then converge into one finished website with generated visuals. Here's the wildest part: DeerFlow 2.0 launched on February 28th 2026 and hit number 1 on all of GitHub Trending the same day. Version 2.0 was a complete rewrite. Zero shared code with version 1. Because users kept using it for things the team never intended. Data pipelines. Dashboards. Entire content workflows. The community told them what it needed to become. So they burned it down and rebuilt it. 22.7K GitHub stars. 2.7K forks. Built by ByteDance 100% Open Source. MIT License.

Kanika

738,832 просмотров • 5 месяцев назад

🚨 Alibaba just open sourced a GUI agent that lives inside your webpage and controls it with natural language. It's called Page Agent and it's not a browser extension. It's pure JavaScript no Python, no Puppeteer, no headless browser, no screenshots. Just one script tag and your web app understands natural language. Here's what it actually does: → Embed it with a single tag or npm install → Control any web interface with plain English commands → Text-based DOM manipulation no OCR, no vision models needed → Bring your own LLM (GPT, Claude, Qwen, anything) → Ships a built-in UI with human-in-the-loop support → Turn 20-click ERP/CRM workflows into one sentence → Optional Chrome extension for multi-tab agent tasks → Works on any web app SaaS, admin panels, internal tools Companies are charging $30/month for AI copilots built on this exact idea. This is 3 lines of code. Your users. Your interface. The AI copilot layer for every web app just got open sourced. 1.6K stars. 100% Open Source. (Link in the comments)
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🚨 Alibaba just open sourced a GUI agent that lives inside your webpage and controls it with natural language. It's called Page Agent and it's not a browser extension. It's pure JavaScript no Python, no Puppeteer, no headless browser, no screenshots. Just one script tag and your web app understands natural language. Here's what it actually does: → Embed it with a single tag or npm install → Control any web interface with plain English commands → Text-based DOM manipulation no OCR, no vision models needed → Bring your own LLM (GPT, Claude, Qwen, anything) → Ships a built-in UI with human-in-the-loop support → Turn 20-click ERP/CRM workflows into one sentence → Optional Chrome extension for multi-tab agent tasks → Works on any web app SaaS, admin panels, internal tools Companies are charging $30/month for AI copilots built on this exact idea. This is 3 lines of code. Your users. Your interface. The AI copilot layer for every web app just got open sourced. 1.6K stars. 100% Open Source. (Link in the comments)

Ihtesham Ali

135,634 просмотров • 5 месяцев назад

What did Illia see? It’s time to reclaim your sovereignty. NEAR was built to ensure every individual has true and complete ownership of their assets, data, and power to choose. Today, we sit on the precipice of the greatest threat to our self-sovereignty; the concentration of the world’s most powerful tools in the hands of a small few. It’s time to open AI. 🧵
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What did Illia see? It’s time to reclaim your sovereignty. NEAR was built to ensure every individual has true and complete ownership of their assets, data, and power to choose. Today, we sit on the precipice of the greatest threat to our self-sovereignty; the concentration of the world’s most powerful tools in the hands of a small few. It’s time to open AI. 🧵

NEAR Protocol

381,396 просмотров • 2 лет назад

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Top 25 AWS services explained with a punch EC2 – Your server. But in the cloud. You pay even when it’s doing nothing. (Sound familiar?) Lambda – EC2’s lazy cousin. Only wakes up when there’s work. No work, no bill. ECS – “I want containers but Kubernetes gives me anxiety.” EKS – Kubernetes. For people who enjoy suffering professionally. Auto Scaling – Your app gets famous overnight. This makes sure it doesn’t die from the attention. S3 – A bucket that never fills up. Jeff Bezos’s gift to humanity. EBS – A hard drive for your EC2. Loyal. But only to one instance at a time. EFS – EBS but for people who like sharing. Multiple instances, one file system. FSx – EFS but for enterprises who need Windows compatibility and a bigger invoice. Snowball – When your internet is too slow to upload data, AWS ships you a literal box. VPC – Your private neighborhood inside AWS. Strangers not allowed. Route 53 – The GPS of your app. Tells traffic where to go. ELB – The bouncer at the club. Splits traffic so no one server gets overwhelmed. CloudFront – Your content, cached globally. Because nobody likes a slow website. Direct Connect – A private highway between your office and AWS. No public internet drama. RDS – A managed database. AWS handles backups so you can sleep at night. DynamoDB – NoSQL at insane speed. Schema? We don’t do that here. Aurora – RDS on steroids. Faster, smarter, slightly more expensive. Redshift – A warehouse for your data. Not clothes. Petabytes of analytics data. ElastiCache – RAM for your app. Because hitting the database every time is embarrassing. IAM – The bouncer for your entire AWS account. Get this wrong and you’re headlines. KMS – Locks your secrets in a vault. AWS holds the key. You trust them. Mostly. Cognito – “Login with Google” but you built it on AWS. GuardDuty – The security camera that never blinks. Watches for sketchy behavior 24/7. WAF – Stops hackers at the door before they touch your app. Bookmark it.

Akhilesh Mishra

11,145 просмотров • 5 месяцев назад

Top 25 AWS services explained EC2 – Your server. But in the cloud. You pay even when it’s doing nothing. (Sound familiar?) Lambda – EC2’s lazy cousin. Only wakes up when there’s work. No work, no bill. ECS – “I want containers but Kubernetes gives me anxiety.” EKS – Kubernetes. For people who enjoy suffering professionally. Auto Scaling – Your app gets famous overnight. This makes sure it doesn’t die from the attention. S3 – A bucket that never fills up. Jeff Bezos’s gift to humanity. EBS – A hard drive for your EC2. Loyal. But only to one instance at a time. EFS – EBS but for people who like sharing. Multiple instances, one file system. FSx – EFS but for enterprises who need Windows compatibility and a bigger invoice. Snowball – When your internet is too slow to upload data, AWS ships you a literal box. VPC – Your private neighborhood inside AWS. Strangers not allowed. Route 53 – The GPS of your app. Tells traffic where to go. ELB – The bouncer at the club. Splits traffic so no one server gets overwhelmed. CloudFront – Your content, cached globally. Because nobody likes a slow website. Direct Connect – A private highway between your office and AWS. No public internet drama. RDS – A managed database. AWS handles backups so you can sleep at night. DynamoDB – NoSQL at insane speed. Schema? We don’t do that here. Aurora – RDS on steroids. Faster, smarter, slightly more expensive. Redshift – A warehouse for your data. Not clothes. Petabytes of analytics data. ElastiCache – RAM for your app. Because hitting the database every time is embarrassing. IAM – The bouncer for your entire AWS account. Get this wrong and you’re headlines. KMS – Locks your secrets in a vault. AWS holds the key. You trust them. Mostly. Cognito – “Login with Google” but you built it on AWS. GuardDuty – The security camera that never blinks. Watches for sketchy behavior 24/7. WAF – Stops hackers at the door before they touch your app. Bookmark it.
0:13

Top 25 AWS services explained EC2 – Your server. But in the cloud. You pay even when it’s doing nothing. (Sound familiar?) Lambda – EC2’s lazy cousin. Only wakes up when there’s work. No work, no bill. ECS – “I want containers but Kubernetes gives me anxiety.” EKS – Kubernetes. For people who enjoy suffering professionally. Auto Scaling – Your app gets famous overnight. This makes sure it doesn’t die from the attention. S3 – A bucket that never fills up. Jeff Bezos’s gift to humanity. EBS – A hard drive for your EC2. Loyal. But only to one instance at a time. EFS – EBS but for people who like sharing. Multiple instances, one file system. FSx – EFS but for enterprises who need Windows compatibility and a bigger invoice. Snowball – When your internet is too slow to upload data, AWS ships you a literal box. VPC – Your private neighborhood inside AWS. Strangers not allowed. Route 53 – The GPS of your app. Tells traffic where to go. ELB – The bouncer at the club. Splits traffic so no one server gets overwhelmed. CloudFront – Your content, cached globally. Because nobody likes a slow website. Direct Connect – A private highway between your office and AWS. No public internet drama. RDS – A managed database. AWS handles backups so you can sleep at night. DynamoDB – NoSQL at insane speed. Schema? We don’t do that here. Aurora – RDS on steroids. Faster, smarter, slightly more expensive. Redshift – A warehouse for your data. Not clothes. Petabytes of analytics data. ElastiCache – RAM for your app. Because hitting the database every time is embarrassing. IAM – The bouncer for your entire AWS account. Get this wrong and you’re headlines. KMS – Locks your secrets in a vault. AWS holds the key. You trust them. Mostly. Cognito – “Login with Google” but you built it on AWS. GuardDuty – The security camera that never blinks. Watches for sketchy behavior 24/7. WAF – Stops hackers at the door before they touch your app. Bookmark it.

Akhilesh Mishra

35,892 просмотров • 6 месяцев назад

Introducing: Browser Use Box (bux). Your 24/7 personal agent box, powered by Browser Harness. ♞ We got tired of agents that vanish when you close the laptop. So we put them on a server. > 24/7 box that runs while you sleep > Real Chrome with persistent logins > Telegram baked in, text from anywhere I gave mine my email and a Telegram chat. It books flights, replies to LinkedIn and does my to-do list before I'm awake. Try it at ↓
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Introducing: Browser Use Box (bux). Your 24/7 personal agent box, powered by Browser Harness. ♞ We got tired of agents that vanish when you close the laptop. So we put them on a server. > 24/7 box that runs while you sleep > Real Chrome with persistent logins > Telegram baked in, text from anywhere I gave mine my email and a Telegram chat. It books flights, replies to LinkedIn and does my to-do list before I'm awake. Try it at ↓

Larsen Cundric

293,159 просмотров • 4 месяцев назад

Goldman pays $27,000 per seat for a Bloomberg Terminal. I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:
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Goldman pays $27,000 per seat for a Bloomberg Terminal. I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:

AI Bulls

20,605 просмотров • 1 месяц назад

Introducing: OpenGranola 🔥 I built an open source meeting copilot for macOS. It transcribes both sides of your call on-device, searches your own notes in real time, and hands you talking points right when the conversation needs them. No audio leaves your Mac. Point it at a folder of markdown files, pick any LLM through OpenRouter (Claude, GPT-4o, Gemini, Llama), and it just works. It's invisible to screen share too — nobody knows you have it. The whole thing is open source. Link below
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Introducing: OpenGranola 🔥 I built an open source meeting copilot for macOS. It transcribes both sides of your call on-device, searches your own notes in real time, and hands you talking points right when the conversation needs them. No audio leaves your Mac. Point it at a folder of markdown files, pick any LLM through OpenRouter (Claude, GPT-4o, Gemini, Llama), and it just works. It's invisible to screen share too — nobody knows you have it. The whole thing is open source. Link below

yazin

293,178 просмотров • 5 месяцев назад

I replaced our Datadog bill with a single binary and cut infrastructure costs by 98% overnight. It’s called OpenObserve. Logs, metrics, traces, and frontend monitoring in one tool, self-hosted, and it’s built specifically to stop the bill that grows every time you add a host, a user, or a custom metric. → One binary, running in under 2 minutes. No cluster, no separate components for logs vs metrics vs traces → Built in Rust on the DataFusion query engine, so it stays fast even at petabyte scale → Uses Parquet columnar storage on S3-compatible object storage instead of a proprietary format, which is where the real cost savings come from → Query with SQL or PromQL instead of a vendor’s proprietary syntax, so your team isn’t learning a new query language just to read a dashboard → Full OpenTelemetry compatibility, no proprietary agents required to get your existing instrumentation talking to it → Community dashboard library on GitHub for Kubernetes, Docker, Postgres, AWS, and LLM observability, ready to drop in instead of building from scratch In OpenObserve’s own published benchmark, the same 16-service workload cost $174/day on Datadog and $3/day self-hosted, a 98% cut, before even touching per-host or per-seat fees. 18,000+ GitHub stars. Single binary. Self-hosted, no per-host or per-user tax.
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I replaced our Datadog bill with a single binary and cut infrastructure costs by 98% overnight. It’s called OpenObserve. Logs, metrics, traces, and frontend monitoring in one tool, self-hosted, and it’s built specifically to stop the bill that grows every time you add a host, a user, or a custom metric. → One binary, running in under 2 minutes. No cluster, no separate components for logs vs metrics vs traces → Built in Rust on the DataFusion query engine, so it stays fast even at petabyte scale → Uses Parquet columnar storage on S3-compatible object storage instead of a proprietary format, which is where the real cost savings come from → Query with SQL or PromQL instead of a vendor’s proprietary syntax, so your team isn’t learning a new query language just to read a dashboard → Full OpenTelemetry compatibility, no proprietary agents required to get your existing instrumentation talking to it → Community dashboard library on GitHub for Kubernetes, Docker, Postgres, AWS, and LLM observability, ready to drop in instead of building from scratch In OpenObserve’s own published benchmark, the same 16-service workload cost $174/day on Datadog and $3/day self-hosted, a 98% cut, before even touching per-host or per-seat fees. 18,000+ GitHub stars. Single binary. Self-hosted, no per-host or per-user tax.

Harman

50,501 просмотров • 1 месяц назад

Claude Fable 5 + Claude Design is f*cking insane 🤯 Anthropic just dropped its most intelligent model ever, and the first thing I pointed it at was email design. I built a complete email campaign design in Claude Design, and the difference is night and day: tighter layouts, cleaner hierarchy, on-brand from the first generation. All inside Claude Design with Fable 5. Perfect for DTC brands and agencies who are still paying email agencies $3-5K/month for campaign designs that take 2 weeks to ship. If your campaign calendar is packed but every new email means briefing a designer, waiting on mockups, sending notes, and waiting again... This workflow eliminates the entire bottleneck: → Load your brand design system into Claude Design once (colors, fonts, logo, button styling) → Switch the model to Claude Fable 5 — Anthropic's new state-of-the-art model with the best vision of any AI → Prompt the campaign email section by section: header, hero, headline, offer block, CTA → Fable 5 nails layout and brand details that older models fumbled → Iterate inline — swap images, adjust styling, color-pick directly in the canvas → Export the finished email and hand off to your ESP No briefing a designer. No 2-week turnaround on a single campaign. No paying an agency $4K/month for 4 emails. What you get: → Campaign emails designed in minutes, not weeks → A reusable design system every new email pulls from automatically → Noticeably smarter design decisions from Fable 5's upgraded vision → Full inline editing before anything touches your ESP Built 100% with Claude Design + Claude Fable 5. I recorded a full walkthrough showing exactly how this works. Want it for free? > Like this post > Comment "FABLE" And I'll send it over (must be following so I can DM)
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Claude Fable 5 + Claude Design is f*cking insane 🤯 Anthropic just dropped its most intelligent model ever, and the first thing I pointed it at was email design. I built a complete email campaign design in Claude Design, and the difference is night and day: tighter layouts, cleaner hierarchy, on-brand from the first generation. All inside Claude Design with Fable 5. Perfect for DTC brands and agencies who are still paying email agencies $3-5K/month for campaign designs that take 2 weeks to ship. If your campaign calendar is packed but every new email means briefing a designer, waiting on mockups, sending notes, and waiting again... This workflow eliminates the entire bottleneck: → Load your brand design system into Claude Design once (colors, fonts, logo, button styling) → Switch the model to Claude Fable 5 — Anthropic's new state-of-the-art model with the best vision of any AI → Prompt the campaign email section by section: header, hero, headline, offer block, CTA → Fable 5 nails layout and brand details that older models fumbled → Iterate inline — swap images, adjust styling, color-pick directly in the canvas → Export the finished email and hand off to your ESP No briefing a designer. No 2-week turnaround on a single campaign. No paying an agency $4K/month for 4 emails. What you get: → Campaign emails designed in minutes, not weeks → A reusable design system every new email pulls from automatically → Noticeably smarter design decisions from Fable 5's upgraded vision → Full inline editing before anything touches your ESP Built 100% with Claude Design + Claude Fable 5. I recorded a full walkthrough showing exactly how this works. Want it for free? > Like this post > Comment "FABLE" And I'll send it over (must be following so I can DM)

Mike Futia

43,127 просмотров • 2 месяцев назад

Your trusted Yoroi Wallet is evolving. 📣 Yoroi Wallet is soon becoming SecondFi, a neofinance platform built on everything Yoroi Wallet stands for, and so much more. Here’s what you are getting: 🔹 A self-custody card, because we heard you and it is finally coming 🔹 More yield-bearing options across multiple chains 🔹 Your staking and governance features are staying 🔹 Your self-custody stays intact 🔹 Yoroi DRep and Yoroi stake pool is not changing. To our delegators, everything continues as normal One thing is for sure, your funds are safe throughout the entire transition. SecondFi is built on the same self-custody values Yoroi was founded on, so you remain in full control of your assets at every step. Here is a glimpse of your new life. 👇
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Your trusted Yoroi Wallet is evolving. 📣 Yoroi Wallet is soon becoming SecondFi, a neofinance platform built on everything Yoroi Wallet stands for, and so much more. Here’s what you are getting: 🔹 A self-custody card, because we heard you and it is finally coming 🔹 More yield-bearing options across multiple chains 🔹 Your staking and governance features are staying 🔹 Your self-custody stays intact 🔹 Yoroi DRep and Yoroi stake pool is not changing. To our delegators, everything continues as normal One thing is for sure, your funds are safe throughout the entire transition. SecondFi is built on the same self-custody values Yoroi was founded on, so you remain in full control of your assets at every step. Here is a glimpse of your new life. 👇

Yoroi

39,381 просмотров • 4 месяцев назад

CopilotKit Open Sources Channels SDK: An MIT Licensed Library That Runs Any AG-UI Agent Inside Slack And Microsoft Teams No per-platform rewrite. No platform credentials in your agent process. No second agent to maintain. Here's how it works: 1. Describe once, render native One message description is lowered to a serializable intermediate representation, then rendered in each platform's own format. → Block Kit on Slack, Adaptive Cards on Teams 2. Your agent doesn't move It connects over AG-UI, so the model, tools and business logic stay where they are. → LangGraph, CrewAI, Mastra, Pydantic AI, Google ADK 3. The runtime owns the lifecycle There is no channel.start(). You await channels.ready(), so a broken config fails startup loudly instead of silently. → ready() · status() · stop() 4. The concurrency trap Turns default to "parallel", and only the managed adapter serializes same-thread deliveries. On a direct adapter, one shared agent instance means two runs corrupt each other. → "parallel" (default) · "serial" · "drop" 5. The numbers → 0.7.3, shipped August 4, MIT licensed → 5 adapters: /slack, /teams, /discord, /telegram, /whatsapp → Node.js 22+, ESM only, one long-running process → Slack and Teams GA; Discord and WhatsApp next The key takeaway: one agent, five adapters, and platform credentials that never touch your process. Every channel needs a CopilotKit Intelligence key — free tier included, no standalone path. Full analysis: GitHub Repo: Technical details: CopilotKit🪁
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CopilotKit Open Sources Channels SDK: An MIT Licensed Library That Runs Any AG-UI Agent Inside Slack And Microsoft Teams No per-platform rewrite. No platform credentials in your agent process. No second agent to maintain. Here's how it works: 1. Describe once, render native One message description is lowered to a serializable intermediate representation, then rendered in each platform's own format. → Block Kit on Slack, Adaptive Cards on Teams 2. Your agent doesn't move It connects over AG-UI, so the model, tools and business logic stay where they are. → LangGraph, CrewAI, Mastra, Pydantic AI, Google ADK 3. The runtime owns the lifecycle There is no channel.start(). You await channels.ready(), so a broken config fails startup loudly instead of silently. → ready() · status() · stop() 4. The concurrency trap Turns default to "parallel", and only the managed adapter serializes same-thread deliveries. On a direct adapter, one shared agent instance means two runs corrupt each other. → "parallel" (default) · "serial" · "drop" 5. The numbers → 0.7.3, shipped August 4, MIT licensed → 5 adapters: /slack, /teams, /discord, /telegram, /whatsapp → Node.js 22+, ESM only, one long-running process → Slack and Teams GA; Discord and WhatsApp next The key takeaway: one agent, five adapters, and platform credentials that never touch your process. Every channel needs a CopilotKit Intelligence key — free tier included, no standalone path. Full analysis: GitHub Repo: Technical details: CopilotKit🪁

Marktechpost AI

42,673 просмотров • 29 дней назад