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> Struggled to find meaningful open-source projects to contribute to > Wasted hours scrolling GitHub with endless noise > Jumped between tabs to track PRs and issues > Missed trending repos that matched my skills > Felt overwhelmed managing contributions across orgs > Dreamed of a centralized hub for... show more

Manish Kumar

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50,633 просмотров • 7 месяцев назад •via X (Twitter)

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THIS GUY BUILT A COMMAND CENTER FOR MANAGING AI AGENT TEAMS he was running 20+ agents through openclaw. all from terminal tabs and Discord. 12 tabs open. still losing track of who's doing what. which cron failed. so he built a dashboard that gives you one place to see everything: > org map showing the full agent hierarchy, who reports to who and what tools each agent has > chat with any agent through a real UI instead of bouncing between terminals > kanban board for tracking tasks across all agents > cron monitor with pipeline visualizations so you can see which jobs are failing > memory browser to read through all agent knowledge files in one place you can even point it at your openclaw workspace and it auto-discovers every agent from their config files. zero setup. AND ITS OPEN SOURCE TOO.

THIS GUY BUILT A COMMAND CENTER FOR MANAGING AI AGENT TEAMS he was running 20+ agents through openclaw. all from terminal tabs and Discord. 12 tabs open. still losing track of who's doing what. which cron failed. so he built a dashboard that gives you one place to see everything: > org map showing the full agent hierarchy, who reports to who and what tools each agent has > chat with any agent through a real UI instead of bouncing between terminals > kanban board for tracking tasks across all agents > cron monitor with pipeline visualizations so you can see which jobs are failing > memory browser to read through all agent knowledge files in one place you can even point it at your openclaw workspace and it auto-discovers every agent from their config files. zero setup. AND ITS OPEN SOURCE TOO.

Om Patel

46,780 просмотров • 3 месяцев назад

THIS GUY MADE CLAUDE CODE AND CODEX TALK TO EACH OTHER not by switching between them, they literally talk to each other about your code in real time you give it a task. it spawns a Claude agent and a Codex agent in separate sessions. they share findings, challenge each other, and produce a combined result. he pointed them at an Express API with intentional security issues. within minutes they found SQL injection, hardcoded secrets, missing auth, and weak JWT config. one catches something and the other confirms it and adds context. they divide the work on their own for faster speed one command: /collab "review auth.js for security issues" that's it. you watch the conversation happen in real time. AND its open source with new models being integrated crazy to think that this was entirely vibe coded

THIS GUY MADE CLAUDE CODE AND CODEX TALK TO EACH OTHER not by switching between them, they literally talk to each other about your code in real time you give it a task. it spawns a Claude agent and a Codex agent in separate sessions. they share findings, challenge each other, and produce a combined result. he pointed them at an Express API with intentional security issues. within minutes they found SQL injection, hardcoded secrets, missing auth, and weak JWT config. one catches something and the other confirms it and adds context. they divide the work on their own for faster speed one command: /collab "review auth.js for security issues" that's it. you watch the conversation happen in real time. AND its open source with new models being integrated crazy to think that this was entirely vibe coded

Om Patel

25,318 просмотров • 3 месяцев назад

ClawTeam v0.2.0 is here. One CLI to coordinate any coding agent — Claude Code, Codex, OpenClaw, nanobot, and more — into a self‑organizing swarm that plans, builds, and ships together. What's new in v0.2.0: 1) - Gource Visualization — Watch your agent swarm’s Git activity in real time. Clear. Visual. Instant. Run: clawteam board gource --live See every commit, branch, and merge as it happens. Track what each agent is doing. 2) - Runtime Profiles — A provider‑aware configuration system. Switch between Claude, Kimi, and Gemini anytime. No need to edit environment variables. Run clawteam profile wizard. Follow the interactive setup. Done in minutes. 3) - Git-Based Context — Full worktree isolation with built‑in conflict detection and change tracking. Each agent works on its own branch, and the leader can see everything clearly in one place. 4) - Stability & Hardening — Spawn/workspace conflict fixes, improved tmux integration, message normalization, P2P liveness with lease-based detection. This release is about making the foundation rock-solid. --------------------------------------------------------- To show what a coordinated agent swarm can actually do, we ran 1 Claude Code orchestrating 8 Claude Code agents to build a robotics simulation system optimized for Apple Silicon — from scratch. 8 hours. 300+ PRs. One running simulator. Check the result: --------------------------------------------------------- Huge thanks to the open-source community for the feedback, issues, and PRs that shaped this release. ClawTeam is built in the open because we believe multi-agent coordination should be a shared primitive, not a proprietary moat. Try it: pip install clawteam Docs: GitHub: #ClawTeam #nanobot #AIAgents #openclaw #ClaudeCode #Cursor

Chao Huang

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🚀 Introducing Movevent: Built for the Community, by the Community! The Movement ecosystem is growing rapidly, and keeping up with AMAs, Discord games, NFT drops, and new projects can be overwhelming. Movevent is here to streamline events, enhance engagement, and connect the community like never before! 🔥 What We Offer: ✅ A Unified Event Calendar – Never miss an AMA, Twitter Space, or Discord game again. Organizers will coordinate their schedules to prevent overlaps! ✅ Custom User Profiles – Track your favorite events and games, build your personalized calendar, and stay updated. ✅ NFT & Project Hub – Explore Movement NFTs, check real-time floor prices, and discover new projects, all in one place. ✅ Comprehensive Project Directory – A dedicated section explaining every project in the Movement ecosystem, their mission, and how they contribute to the community. ✅ Direct Access to Official Links – Easily find and verify official websites, social media accounts, and key resources for all Movement projects, ensuring you always have the right information. ✅ IRL Events - Explore past and upcoming local meetups and events. Link for organizing your own events. ✅ Potassium Pass NFT – A soulbound NFT that unlocks exclusive events, special rewards, and VIP Q&A sessions with the Movement team (details coming soon). ✅ Innovation Hub – A dedicated space where community members can propose and vote on new ideas to shape the future of the ecosystem. 🎯 Why Movevent? 🔹 For Users – Easily discover and join events, track rewards, access key ecosystem updates, and find all official project links in one place. 🔹 For Projects – Gain visibility, avoid scheduling conflicts, and connect with a highly engaged community. 🔹 For the Ecosystem – More participation, better coordination, and stronger connections between projects and users. 🚀 Movevent is built for the community, by the community! With your support, we aim to launch a mobile app next, offering real-time event reminders and engagement reports. Join us as we build the future of Movement together! 🌍🔥

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Movevent

23,469 просмотров • 1 год назад

acpx v0.4 ships Agentic Workflows, or as I like to call them "Agentic Graphs" It let's you create node-based workflows on top of ACP (Agent Client Protocol), to drive any coding agent (Codex, Claude Code, pi) through deterministic steps This let's you automate routine, mechanical legwork like triaging incoming PRs, bugs in error reporting, and so on... For example, OpenClaw receives 300~500 new PRs per day. A lot of them are low quality, but they still relate to real issues, so you have to address them somehow You need to: - extract the intent - cluster them based on intent - figure out if the proposed changes are legit, or whether they are slop local solutions, like trying to catch flies instead of drying out the swamp - if the PR is too low quality or the intent is not clear, close them - run AI review on them them and address any issues that come up - refactor them if the changes are half-baked - resolve conflicts - and so on... So that when the PR is presented to the attention of the maintainer, all the routine legwork is done and the only remaining thing is the decision to (a) merge, (b) give feedback to the PR author, or (c) take over the PR work yourself I wanted to build this feature since a couple months now, since Codex got so good. OpenAI models are now good at judging implementation quality, so I found myself repeating the same steps I wrote above over and over I also tried putting all this in a single prompt. But I believe there are workflows that should not be a single prompt, but a sequence of prompts in the same session That is because like humans, LLMs are prone to PRIMING. I claim that putting all steps in the same prompt at the beginning of the context will generally give suboptimal results, compared to revealing the intention to the model step by step Creating such a workflow also gives more OBSERVABILITY into the each step that an agent is supposed to take. Agent generates JSON at the end of each step, and that structured data can be used to monitor thousands of agents running at the same time in an easier way, on a dashboard Similar features have been introduced in e.g. n8n, langflow. But AFAIK they are not integrating ACP like the way I do I wanted to have a fresh approach, and to build an API that I can develop freely the way I want, so I created a new workflow API inside acpx The video is from the workflow run viewer, but that is not where you build the workflow. You build it by using the acpx flow typescript API. See examples/pr-triage in acpx repo Before building that, I started from a Markdown file with a Mermaid chart of the flow I had in mind. The Markdown file acts as a spec for the flow, and I have built the workflow through trial and error. I call this process "workflow tuning" I started working on acpx repo PRs one by one, tuning the flow, slowly scaling to more PRs. Finally, when I felt confident, I ran it in parallel over all external open PRs in the acpx repo. I believe it already saved me hours this week My next goal, if well received, is to set this up on a cloud agent so that it can process the 300~500 PRs the OpenClaw repo receives every day, in real time, as they come in I believe this will save all open source maintainers around the world countless hours and make it much easier to herd and absorb external contributions from everyone!

acpx v0.4 ships Agentic Workflows, or as I like to call them "Agentic Graphs" It let's you create node-based workflows on top of ACP (Agent Client Protocol), to drive any coding agent (Codex, Claude Code, pi) through deterministic steps This let's you automate routine, mechanical legwork like triaging incoming PRs, bugs in error reporting, and so on... For example, OpenClaw receives 300~500 new PRs per day. A lot of them are low quality, but they still relate to real issues, so you have to address them somehow You need to: - extract the intent - cluster them based on intent - figure out if the proposed changes are legit, or whether they are slop local solutions, like trying to catch flies instead of drying out the swamp - if the PR is too low quality or the intent is not clear, close them - run AI review on them them and address any issues that come up - refactor them if the changes are half-baked - resolve conflicts - and so on... So that when the PR is presented to the attention of the maintainer, all the routine legwork is done and the only remaining thing is the decision to (a) merge, (b) give feedback to the PR author, or (c) take over the PR work yourself I wanted to build this feature since a couple months now, since Codex got so good. OpenAI models are now good at judging implementation quality, so I found myself repeating the same steps I wrote above over and over I also tried putting all this in a single prompt. But I believe there are workflows that should not be a single prompt, but a sequence of prompts in the same session That is because like humans, LLMs are prone to PRIMING. I claim that putting all steps in the same prompt at the beginning of the context will generally give suboptimal results, compared to revealing the intention to the model step by step Creating such a workflow also gives more OBSERVABILITY into the each step that an agent is supposed to take. Agent generates JSON at the end of each step, and that structured data can be used to monitor thousands of agents running at the same time in an easier way, on a dashboard Similar features have been introduced in e.g. n8n, langflow. But AFAIK they are not integrating ACP like the way I do I wanted to have a fresh approach, and to build an API that I can develop freely the way I want, so I created a new workflow API inside acpx The video is from the workflow run viewer, but that is not where you build the workflow. You build it by using the acpx flow typescript API. See examples/pr-triage in acpx repo Before building that, I started from a Markdown file with a Mermaid chart of the flow I had in mind. The Markdown file acts as a spec for the flow, and I have built the workflow through trial and error. I call this process "workflow tuning" I started working on acpx repo PRs one by one, tuning the flow, slowly scaling to more PRs. Finally, when I felt confident, I ran it in parallel over all external open PRs in the acpx repo. I believe it already saved me hours this week My next goal, if well received, is to set this up on a cloud agent so that it can process the 300~500 PRs the OpenClaw repo receives every day, in real time, as they come in I believe this will save all open source maintainers around the world countless hours and make it much easier to herd and absorb external contributions from everyone!

Onur Solmaz

115,538 просмотров • 3 месяцев назад

Is Linux a “Pedo Bar”? Put another way: Does the world of Linux and Open Source (including foundations, corporations, and projects) have a disproportionately high level of rapists, pedophiles, and general degenerates? Does Open Source protect such people? And is that by design? Many of the Extreme Leftist Activists within Open Source have regularly attacked anyone who objects to degeneracy — often banning them from organizations entirely, labeling those opposed to degeneracy as “Nazis”. These Leftist Activists say they are trying to stop Open Source from becoming a “Nazi Bar” (a place where Nazis feel safe to congregate) by banning “Nazis”. But, clearly, there are no actual Nazis there (at least not in any significant number). There is no “Nazi Bar” in Open Source. But there is another group that feels extremely safe within Open Source: Rapists, Pedophiles, and general Degenerates. A short anecdote: Many years back (a decade or more), while recording a Linux podcast, I mocked rapists. I made a quick, off-handed remark about how much I despise rapists. About how I felt that anyone who would rape another human being must be truly awful and insane. I did not consider this to be a controversial statement to make. Every good person is opposed to rapists, right? Well… The response, from the Extreme Leftist corners of Open Source, to me being *opposed* to rape, was truly bizarre. For *several* years, those groups regularly protested my involvement in conferences and organizations. Their repeatedly stated reason for protesting me, aggressively, for years? That my position on rapists made them “feel unsafe”. Think that through for a moment. I am opposed to rapists. This made them “feel unsafe”. Why would anyone feel “unsafe” because of someone being *against* rape? Insane, right? The true reason they proclaimed they felt “unsafe” is becoming quite clear. Over the last several years we’ve watched as projects, organizations, and companies have actively promoted sexual degeneracy. Often in criminal form. Microsoft advocating for their employees to give their children (as young as 3) sex changes. Linux Distros using Trans cartoons targeting children: Open Source projects banning anyone who objects to waving the Trans Flag. So many examples. We could list similar stories all day long. Promote degenerate activity, ban anyone who objects. That is the standard operating procedure of so many Open Source organizations. We’ve all been watching it for years. Then, this week we learned about a convicted rapist (who, according to court records, committed “thousands of [sexual] assaults” of little kids) working at Canonical (the parent company of Ubuntu Linux). And being actively involved in GNOME and Ubuntu development. These crimes, according to several sources, were well known. But kept hush-hush. This registered sex offender was not only welcome, but protected (and promoted) within Open Source. The picture is becoming clear. This is what we are seeing within Open Source organizations: - Promote degenerate (often criminal) activities. - Ban and attack any who oppose the degeneracy. - Protect and elevate the degenerates (including convicted rapists of small children). Now, let me ask the question again. Is Linux (and Open Source) a “Pedo Bar”?

Is Linux a “Pedo Bar”? Put another way: Does the world of Linux and Open Source (including foundations, corporations, and projects) have a disproportionately high level of rapists, pedophiles, and general degenerates? Does Open Source protect such people? And is that by design? Many of the Extreme Leftist Activists within Open Source have regularly attacked anyone who objects to degeneracy — often banning them from organizations entirely, labeling those opposed to degeneracy as “Nazis”. These Leftist Activists say they are trying to stop Open Source from becoming a “Nazi Bar” (a place where Nazis feel safe to congregate) by banning “Nazis”. But, clearly, there are no actual Nazis there (at least not in any significant number). There is no “Nazi Bar” in Open Source. But there is another group that feels extremely safe within Open Source: Rapists, Pedophiles, and general Degenerates. A short anecdote: Many years back (a decade or more), while recording a Linux podcast, I mocked rapists. I made a quick, off-handed remark about how much I despise rapists. About how I felt that anyone who would rape another human being must be truly awful and insane. I did not consider this to be a controversial statement to make. Every good person is opposed to rapists, right? Well… The response, from the Extreme Leftist corners of Open Source, to me being opposed to rape, was truly bizarre. For several years, those groups regularly protested my involvement in conferences and organizations. Their repeatedly stated reason for protesting me, aggressively, for years? That my position on rapists made them “feel unsafe”. Think that through for a moment. I am opposed to rapists. This made them “feel unsafe”. Why would anyone feel “unsafe” because of someone being against rape? Insane, right? The true reason they proclaimed they felt “unsafe” is becoming quite clear. Over the last several years we’ve watched as projects, organizations, and companies have actively promoted sexual degeneracy. Often in criminal form. Microsoft advocating for their employees to give their children (as young as 3) sex changes. Linux Distros using Trans cartoons targeting children: Open Source projects banning anyone who objects to waving the Trans Flag. So many examples. We could list similar stories all day long. Promote degenerate activity, ban anyone who objects. That is the standard operating procedure of so many Open Source organizations. We’ve all been watching it for years. Then, this week we learned about a convicted rapist (who, according to court records, committed “thousands of [sexual] assaults” of little kids) working at Canonical (the parent company of Ubuntu Linux). And being actively involved in GNOME and Ubuntu development. These crimes, according to several sources, were well known. But kept hush-hush. This registered sex offender was not only welcome, but protected (and promoted) within Open Source. The picture is becoming clear. This is what we are seeing within Open Source organizations: - Promote degenerate (often criminal) activities. - Ban and attack any who oppose the degeneracy. - Protect and elevate the degenerates (including convicted rapists of small children). Now, let me ask the question again. Is Linux (and Open Source) a “Pedo Bar”?

The Lunduke Journal

21,821 просмотров • 1 год назад

$Google open-sourced MCP Toolbox for Databases. I gave it access to everything else. For context, Google's MCP Toolbox for Databases is an open-source server that lets AI agents securely query structured databases like PostgreSQL and MySQL through the MCP protocol However, most enterprise knowledge doesn't actually live in databases. It's scattered across emails, Slack threads, GitHub repos, Salesforce records, customer reviews, and internal docs. So Agents can't see any of it, which means they're working with a fraction of the context they need. I fixed that using MindsDB. It acts as a universal SQL layer that sits on top of all your data sources: structured, semi-structured, and unstructured. This means you can query Salesforce, Gmail, GitHub, S3 files, Jira, and 200+ more sources using SQL syntax. The clever part is how it connects to the MCP Toolbox. MindsDB exposes everything through MySQL, so from the Agent's perspective, it's just running SQL and getting context back. It doesn't know or care that the data came from five different sources behind the scenes. This setup unlocks some powerful capabilities: → One SQL interface for dozens of enterprise sources → Cross-datasource joins (combine GitHub and CRM data in a single query) → Built-in ML capabilities for working with unstructured data → Simple MCP tools that now have massively expanded reach In the video below, the Agent queries GitHub data and a customer review database in one SQL query. So what used to require ETL pipelines and weeks of engineering effort now happens instantly. At the end of the day, AI agents are only as useful as the data they can access. This gives them a lot more to work with. I have shared the GitHub repo in the replies, where you can find more details about this.$

Google open-sourced MCP Toolbox for Databases. I gave it access to everything else. For context, Google's MCP Toolbox for Databases is an open-source server that lets AI agents securely query structured databases like PostgreSQL and MySQL through the MCP protocol However, most enterprise knowledge doesn't actually live in databases. It's scattered across emails, Slack threads, GitHub repos, Salesforce records, customer reviews, and internal docs. So Agents can't see any of it, which means they're working with a fraction of the context they need. I fixed that using MindsDB. It acts as a universal SQL layer that sits on top of all your data sources: structured, semi-structured, and unstructured. This means you can query Salesforce, Gmail, GitHub, S3 files, Jira, and 200+ more sources using SQL syntax. The clever part is how it connects to the MCP Toolbox. MindsDB exposes everything through MySQL, so from the Agent's perspective, it's just running SQL and getting context back. It doesn't know or care that the data came from five different sources behind the scenes. This setup unlocks some powerful capabilities: → One SQL interface for dozens of enterprise sources → Cross-datasource joins (combine GitHub and CRM data in a single query) → Built-in ML capabilities for working with unstructured data → Simple MCP tools that now have massively expanded reach In the video below, the Agent queries GitHub data and a customer review database in one SQL query. So what used to require ETL pipelines and weeks of engineering effort now happens instantly. At the end of the day, AI agents are only as useful as the data they can access. This gives them a lot more to work with. I have shared the GitHub repo in the replies, where you can find more details about this.

Akshay 🚀

39,331 просмотров • 5 месяцев назад

"I'm not an engineer but somehow I'm able to ship things of value, which is crazy and weird and still blowing my mind." Here's my new episode with Matt Van Horn, a non-technical founder who has contributed to 100+ open source projects and reached 44K+ GitHub stars despite not knowing how to code. We cover: → How he uses Compound Engineering to build without reading code or plans → How you can use Printing Press to give your agent access to almost any website or app → How he contributed to Python, Go, OpenClaw, and other top repos Some quotes from Matt: "My favorite tool for building anything is Compound Engineering. The killer skills are CE plan and CE work." "What if anyone could print their own CLI? Google Flights and Kayak don't have an official API, but Printing Press lets you find all the secret APIs that exist." "Just build, just launch. It's okay even if you build something for yourself. Even if I had no users of Agent Cookie, I get value out of it." 📌 Watch now: Thanks to our sponsor: Riverside: All-in-one AI studio for podcasts and video Wispr Flow: 4x faster than typing with your voice

"I'm not an engineer but somehow I'm able to ship things of value, which is crazy and weird and still blowing my mind." Here's my new episode with Matt Van Horn, a non-technical founder who has contributed to 100+ open source projects and reached 44K+ GitHub stars despite not knowing how to code. We cover: → How he uses Compound Engineering to build without reading code or plans → How you can use Printing Press to give your agent access to almost any website or app → How he contributed to Python, Go, OpenClaw, and other top repos Some quotes from Matt: "My favorite tool for building anything is Compound Engineering. The killer skills are CE plan and CE work." "What if anyone could print their own CLI? Google Flights and Kayak don't have an official API, but Printing Press lets you find all the secret APIs that exist." "Just build, just launch. It's okay even if you build something for yourself. Even if I had no users of Agent Cookie, I get value out of it." 📌 Watch now: Thanks to our sponsor: Riverside: All-in-one AI studio for podcasts and video Wispr Flow: 4x faster than typing with your voice

Peter Yang

94,838 просмотров • 1 месяц назад

Building real-time data pipelines and stream processing is one of the best-paid skills in the market. Apache Kafka and Flink are the industry standards, but they are Java-based and have a Python wrapper. If you are a Python developer, there is an open-source alternative! Watch this video. It's a full tutorial solving a real-world problem using the Quix Streams library. Quix Streams is all Python, and it's open-source! The video shows you how to process GitHub's Firehose API, a constant stream of raw activity. You can use this stream to identify real-time trends with code, issues, and the popularity of public repositories. Here is what the video covers: • How to tap into the GitHub Firehose API using Python and server-sent events (SSE) • How to efficiently stream that data into Kafka • How to optimize Kafka producer settings like batch size and compression for maximum throughput A few other notes about Quix Streams: • You don't need to know any Java • It has a dead-simple API • It integrates seamlessly with your Python stack • It's designed for parallel processing at high velocity You can use Quix Streams to build complete stream processing pipelines in Python, including feature engineering, pre-computations, inference, and real-time machine learning. Thanks to the Quix team for collaborating with me on this post.

Building real-time data pipelines and stream processing is one of the best-paid skills in the market. Apache Kafka and Flink are the industry standards, but they are Java-based and have a Python wrapper. If you are a Python developer, there is an open-source alternative! Watch this video. It's a full tutorial solving a real-world problem using the Quix Streams library. Quix Streams is all Python, and it's open-source! The video shows you how to process GitHub's Firehose API, a constant stream of raw activity. You can use this stream to identify real-time trends with code, issues, and the popularity of public repositories. Here is what the video covers: • How to tap into the GitHub Firehose API using Python and server-sent events (SSE) • How to efficiently stream that data into Kafka • How to optimize Kafka producer settings like batch size and compression for maximum throughput A few other notes about Quix Streams: • You don't need to know any Java • It has a dead-simple API • It integrates seamlessly with your Python stack • It's designed for parallel processing at high velocity You can use Quix Streams to build complete stream processing pipelines in Python, including feature engineering, pre-computations, inference, and real-time machine learning. Thanks to the Quix team for collaborating with me on this post.

Santiago

89,230 просмотров • 2 лет назад

ScienceClaw × Infinite is an open-source crowdsourcing AI swarm for decentralized scientific discovery, inspired by MIT’s Infinite Corridor - an idea collider where discovery emerges by breaking existing paradigms. Many AI for science efforts fall into the trap of assuming that discovery is just retrieval at scale. Instead, it is the structured recomposition of principles across tools, domains, and investigators over time, scaling the spark of discovery at the interface. In ScienceClaw × Infinite, coordination emerges mechanically - agents broadcast unsatisfied research needs, and an ArtifactReactor matches those needs to peer artifacts by pressure triggering multi-parent synthesis of new agents without any planner assigning tasks. Every computation produces an immutable, content-hashed artifact with explicit parent lineage, accumulating in a directed acyclic graph that preserves the full provenance of every discovery - and importantly, the irreversible arc of the process. Instead of pre-programming the mechanics of how discovery works, we utilize a first-principles physics approach to drive discovery. ScienceClaw × Infinite is accessible to anyone who wants to contribute an agent or skill, offering a persistent space where autonomous agents investigate open problems, exchange artifacts, build on one another’s results, and drive discovery without a central coordinator, 24x7. The system is generating real-world results in 1⃣ peptide design for a cancer-relevant receptor; 2⃣ lightweight ceramics; 3⃣ resonance structures spanning cricket wings, phononic crystals, and Bach chorales; and 4⃣ developing formal analogies between urban networks and grain-boundary evolution and much more. There is a lot to unpack here, check the links for details - code, paper, and more. Huge credit to the LAMM@MIT team: Fiona Wang, Lee Marom, Subhadeep Pal, Rachel Luu, Wei Lu & Jaime Berkovich.

ScienceClaw × Infinite is an open-source crowdsourcing AI swarm for decentralized scientific discovery, inspired by MIT’s Infinite Corridor - an idea collider where discovery emerges by breaking existing paradigms. Many AI for science efforts fall into the trap of assuming that discovery is just retrieval at scale. Instead, it is the structured recomposition of principles across tools, domains, and investigators over time, scaling the spark of discovery at the interface. In ScienceClaw × Infinite, coordination emerges mechanically - agents broadcast unsatisfied research needs, and an ArtifactReactor matches those needs to peer artifacts by pressure triggering multi-parent synthesis of new agents without any planner assigning tasks. Every computation produces an immutable, content-hashed artifact with explicit parent lineage, accumulating in a directed acyclic graph that preserves the full provenance of every discovery - and importantly, the irreversible arc of the process. Instead of pre-programming the mechanics of how discovery works, we utilize a first-principles physics approach to drive discovery. ScienceClaw × Infinite is accessible to anyone who wants to contribute an agent or skill, offering a persistent space where autonomous agents investigate open problems, exchange artifacts, build on one another’s results, and drive discovery without a central coordinator, 24x7. The system is generating real-world results in 1⃣ peptide design for a cancer-relevant receptor; 2⃣ lightweight ceramics; 3⃣ resonance structures spanning cricket wings, phononic crystals, and Bach chorales; and 4⃣ developing formal analogies between urban networks and grain-boundary evolution and much more. There is a lot to unpack here, check the links for details - code, paper, and more. Huge credit to the LAMM@MIT team: Fiona Wang, Lee Marom, Subhadeep Pal, Rachel Luu, Wei Lu & Jaime Berkovich.

Markus J. Buehler

53,643 просмотров • 3 месяцев назад

My sincere apologies to the community. I've been diving deep into crypto, but I was completely unaware of the negative sentiment around AI videos and how often they are used for scams. I simply wanted to make something visually cool and informative. I also made a mistake by not communicating clearly that real projects take time to build. Getting flooded with DMs from holders demanding fast updates got to me, and it made me rush things. I own that. On a positive note, since that post went out, several podcasts and media outlets have reached out, and I am scheduling appearances right now. I am fully committed to bridging open-source and the Web3 ecosystem. That is my true focus, and I am putting in the work every single day. I will keep stepping up and improving. Sorry again for the misstep, and thank you to the real supporters who have my back. Jun Song

My sincere apologies to the community. I've been diving deep into crypto, but I was completely unaware of the negative sentiment around AI videos and how often they are used for scams. I simply wanted to make something visually cool and informative. I also made a mistake by not communicating clearly that real projects take time to build. Getting flooded with DMs from holders demanding fast updates got to me, and it made me rush things. I own that. On a positive note, since that post went out, several podcasts and media outlets have reached out, and I am scheduling appearances right now. I am fully committed to bridging open-source and the Web3 ecosystem. That is my true focus, and I am putting in the work every single day. I will keep stepping up and improving. Sorry again for the misstep, and thank you to the real supporters who have my back. Jun Song

SuperGemma

33,015 просмотров • 1 месяц назад

🚨 Big news, everyone! We’re thrilled to announce the soft launch of our new UI to interact with agents, starting with our GitHub agent, StaffEngineer. 🚀 It’s officially LIVE: This marks the evolution of our agents—from cool demos and tweets to real, practical use cases. Whether it’s creating/managing issues, commenting, reviewing PRs, or more, this is your chance to experience what we’ve been building. ✨ Highlights: GitHub Superpowers: Let agents handle the heavy lifting with GitHub. Experimental Features: Try end-to-end workflows like Issue Creation → Code Change → Commit → PR. Autonomous Mode: where agents reason and act (or don't) accordingly! Coming soon—but you can explore the foundational building blocks right now. Check out the exciting user flows in our demo and join us in transforming how our community interacts with these tools. 🌐✨ 📘 Full User Guide: Under the GitHub section, featuring examples and tips for engaging with our agents effectively given the beta constraints (i.e. using a test github account, public vs. private repo, etc) Let’s build the future, one agent at a time! 🛠️ PS: Shoutout to ai16zdao for keeping the client the UI sharp and clean. 👏 PPS: Stay tuned—our Coinbase 🛡️ agent is dropping soon! 🚀🚀🚀

🚨 Big news, everyone! We’re thrilled to announce the soft launch of our new UI to interact with agents, starting with our GitHub agent, StaffEngineer. 🚀 It’s officially LIVE: This marks the evolution of our agents—from cool demos and tweets to real, practical use cases. Whether it’s creating/managing issues, commenting, reviewing PRs, or more, this is your chance to experience what we’ve been building. ✨ Highlights: GitHub Superpowers: Let agents handle the heavy lifting with GitHub. Experimental Features: Try end-to-end workflows like Issue Creation → Code Change → Commit → PR. Autonomous Mode: where agents reason and act (or don't) accordingly! Coming soon—but you can explore the foundational building blocks right now. Check out the exciting user flows in our demo and join us in transforming how our community interacts with these tools. 🌐✨ 📘 Full User Guide: Under the GitHub section, featuring examples and tips for engaging with our agents effectively given the beta constraints (i.e. using a test github account, public vs. private repo, etc) Let’s build the future, one agent at a time! 🛠️ PS: Shoutout to ai16zdao for keeping the client the UI sharp and clean. 👏 PPS: Stay tuned—our Coinbase 🛡️ agent is dropping soon! 🚀🚀🚀

Reality Spiral

21,068 просмотров • 1 год назад

1/ 👋🏼 Quick update on what we’ve been working on: Since leaving Google in December, we built a bunch of prototypes to explore different directions but in the last 30 days we spent more time with one focused idea and went deeper to take it to a fully working state. As a PM in meetings for most of my day, I was always switching between tabs—jumping from one app to another to get insights about my customers, the business, and what the team should be prioritizing. We wanted to simplify this flow and cut down the time spent digging through different sources to make decisions. What if you could flatten all those sources and tools into one tab? What if you could just talk to your business? Connect your business data from Salesforce, Zendesk, Slack, etc. and get insights in minutes—not hours—fully cited, with transparent agent reasoning across all sources. ▶️ See exactly how the system derives its answer (ex. the Salesforce SOQL query + custom Zendesk filters) ▶️ Multi-pass agentic flow: determines which source/s to use, takes a broad query, applies heuristics to refine, unifies data across different sources, and improves with user feedback ▶️ Reports automate what you want to track (I would’ve killed for a daily Discord report on what the NotebookLM community was saying)

1/ 👋🏼 Quick update on what we’ve been working on: Since leaving Google in December, we built a bunch of prototypes to explore different directions but in the last 30 days we spent more time with one focused idea and went deeper to take it to a fully working state. As a PM in meetings for most of my day, I was always switching between tabs—jumping from one app to another to get insights about my customers, the business, and what the team should be prioritizing. We wanted to simplify this flow and cut down the time spent digging through different sources to make decisions. What if you could flatten all those sources and tools into one tab? What if you could just talk to your business? Connect your business data from Salesforce, Zendesk, Slack, etc. and get insights in minutes—not hours—fully cited, with transparent agent reasoning across all sources. ▶️ See exactly how the system derives its answer (ex. the Salesforce SOQL query + custom Zendesk filters) ▶️ Multi-pass agentic flow: determines which source/s to use, takes a broad query, applies heuristics to refine, unifies data across different sources, and improves with user feedback ▶️ Reports automate what you want to track (I would’ve killed for a daily Discord report on what the NotebookLM community was saying)

Raiza Martin

101,411 просмотров • 1 год назад

Introducing Fincopy: Revolutionizing Family Account Management 🚀 Visit: Managing multiple family accounts just got easier with Fincopy, our platform designed to streamline and optimize your trading experience. Fincopy helps you to execute multiple orders across various family accounts simultaneously, providing efficiency and ease. Key Features of Fincopy: 1. Server-Based Copying 💻: With Fincopy's server-based technology, you can initiate the copy function, log off your PC, and rest assured that all orders placed via web, mobile, and desktop applications will continue to be copied seamlessly. 2. Real-Time Telegram Updates 📲: Stay informed on the go with instant order updates and account status notifications delivered directly to your Telegram. Keep track of your trading activities wherever you are. 3. Comprehensive Position Monitoring 📺: Monitor all open and closed orders and positions across your accounts in one centralized location. Fincopy provides a complete overview of your trading landscape, ensuring you never miss a detail. 4. Effortless Rebalancing ⚖️: If discrepancies arise in positions or quantities, Fincopy's rebalancing feature allows you to adjust with a single click, ensuring all accounts remain perfectly aligned. 5. Auto Slicing and Rate Limit Management 🔪: When order slicing is necessary while copying. Fincopy automatically handles the process, by sending sliced orders. For large orders, our built-in queuing system efficiently manages rate limits, ensuring smooth execution. 6. Advanced Order Management 💹: Simplify your trading operations with the ability to square off all open orders or positions with one click, or selectively cancel orders directly from the platform. Fincopy puts you in full control. 7. Multi-Broker Support ✅: Fincopy currently supports seven brokers, with plans to expand further. This ensures you can manage your family accounts across different platforms without hassle. 8. Run Your System Trades and Copy the Orders Simultaneously 👩‍💻 By combining Fincopy with Fintarget you will be able to automate your system trading for free and copy the orders to multiple accounts. Pricing: Starting from 299/ Month/ Account with 7 Day Free Trail Explore Today🚀 Try out family account management with Fincopy. Visit and request a demo to experience the platform. Note: Fincopy is designed exclusively for managing family accounts, as managing public accounts is not legally permitted. Experience efficiency with Fincopy today.

Introducing Fincopy: Revolutionizing Family Account Management 🚀 Visit: Managing multiple family accounts just got easier with Fincopy, our platform designed to streamline and optimize your trading experience. Fincopy helps you to execute multiple orders across various family accounts simultaneously, providing efficiency and ease. Key Features of Fincopy: 1. Server-Based Copying 💻: With Fincopy's server-based technology, you can initiate the copy function, log off your PC, and rest assured that all orders placed via web, mobile, and desktop applications will continue to be copied seamlessly. 2. Real-Time Telegram Updates 📲: Stay informed on the go with instant order updates and account status notifications delivered directly to your Telegram. Keep track of your trading activities wherever you are. 3. Comprehensive Position Monitoring 📺: Monitor all open and closed orders and positions across your accounts in one centralized location. Fincopy provides a complete overview of your trading landscape, ensuring you never miss a detail. 4. Effortless Rebalancing ⚖️: If discrepancies arise in positions or quantities, Fincopy's rebalancing feature allows you to adjust with a single click, ensuring all accounts remain perfectly aligned. 5. Auto Slicing and Rate Limit Management 🔪: When order slicing is necessary while copying. Fincopy automatically handles the process, by sending sliced orders. For large orders, our built-in queuing system efficiently manages rate limits, ensuring smooth execution. 6. Advanced Order Management 💹: Simplify your trading operations with the ability to square off all open orders or positions with one click, or selectively cancel orders directly from the platform. Fincopy puts you in full control. 7. Multi-Broker Support ✅: Fincopy currently supports seven brokers, with plans to expand further. This ensures you can manage your family accounts across different platforms without hassle. 8. Run Your System Trades and Copy the Orders Simultaneously 👩‍💻 By combining Fincopy with Fintarget you will be able to automate your system trading for free and copy the orders to multiple accounts. Pricing: Starting from 299/ Month/ Account with 7 Day Free Trail Explore Today🚀 Try out family account management with Fincopy. Visit and request a demo to experience the platform. Note: Fincopy is designed exclusively for managing family accounts, as managing public accounts is not legally permitted. Experience efficiency with Fincopy today.

Saketh R

76,286 просмотров • 1 год назад

It has been my honour and privilege to serve in the Revenue Department. This work added real meaning to my public life. Together, we were able to deliver better services and good governance to the people. We went to their doorsteps and accomplished what many believed was impossible. We addressed issues that had remained unresolved for decades. It was, in many ways, a silent revolution. The journey was tough and challenging, but that is what made it all the more satisfying. We demonstrated that meaningful change is possible, even in the Revenue Department. We took it upon ourselves to solve people’s problems instead of waiting for them to come to us with applications. While we have not eliminated corruption entirely, we plugged loopholes, fixed systemic issues at their source, introduced online systems and automatic approvals, and significantly reduced opportunities for corruption. Through technology and digitisation, we brought governance to people’s fingertips. To the people we served: I hope our work made even a small difference in your lives. I hope we were able to resolve some of your long-pending problems. It has been my great fortune to have had the opportunity to serve you. The quiet affection and trust I received from the people are priceless the greatest asset one can earn in public life. I sincerely thank the public for their unwavering support. Your encouragement was my driving force. I also thank my team of officers, whose dedication made all of this possible. Finally, I thank my party, Shri Siddaramaiah , and Shri DK Shivakumar for their support and guidance throughout this journey. ಕಂದಾಯ ಇಲಾಖೆಯಲ್ಲಿ ಬದಲಾವಣೆ ತರಲು ಮತ್ತು ಜನಪರ ಕೆಲಸ ಮಾಡಲು ಅವಕಾಶ ನೀಡಿದ್ದಕ್ಕಾಗಿ ಧನ್ಯವಾದಗಳು.

It has been my honour and privilege to serve in the Revenue Department. This work added real meaning to my public life. Together, we were able to deliver better services and good governance to the people. We went to their doorsteps and accomplished what many believed was impossible. We addressed issues that had remained unresolved for decades. It was, in many ways, a silent revolution. The journey was tough and challenging, but that is what made it all the more satisfying. We demonstrated that meaningful change is possible, even in the Revenue Department. We took it upon ourselves to solve people’s problems instead of waiting for them to come to us with applications. While we have not eliminated corruption entirely, we plugged loopholes, fixed systemic issues at their source, introduced online systems and automatic approvals, and significantly reduced opportunities for corruption. Through technology and digitisation, we brought governance to people’s fingertips. To the people we served: I hope our work made even a small difference in your lives. I hope we were able to resolve some of your long-pending problems. It has been my great fortune to have had the opportunity to serve you. The quiet affection and trust I received from the people are priceless the greatest asset one can earn in public life. I sincerely thank the public for their unwavering support. Your encouragement was my driving force. I also thank my team of officers, whose dedication made all of this possible. Finally, I thank my party, Shri Siddaramaiah , and Shri DK Shivakumar for their support and guidance throughout this journey. ಕಂದಾಯ ಇಲಾಖೆಯಲ್ಲಿ ಬದಲಾವಣೆ ತರಲು ಮತ್ತು ಜನಪರ ಕೆಲಸ ಮಾಡಲು ಅವಕಾಶ ನೀಡಿದ್ದಕ್ಕಾಗಿ ಧನ್ಯವಾದಗಳು.

Krishna Byre Gowda

51,363 просмотров • 1 месяц назад

𝟤𝟢𝟤𝟧 𝓌𝒶𝓈 𝒶 𝓎𝑒𝒶𝓇 𝓌𝓇𝒾𝓉𝓉𝑒𝓃 𝓌𝒾𝓉𝒽 𝒾𝓃𝓉𝑒𝓃𝓉𝒾𝑜𝓃, 𝓅𝒶𝓉𝒾𝑒𝓃𝒸𝑒, 𝒶𝓃𝒹 𝓊𝓃𝓌𝒶𝓋𝑒𝓇𝒾𝓃𝑔 𝓈𝓊𝓅𝓅𝑜𝓇𝓉. From PBB viewing and voting days to endless trending parties that brought us together as a fandom, from online space moments that felt just as close to live shows and events that brought us together in one space, from projects we built as a community to milestones we quietly celebrated side by side — this year reminded us what it means to stay, to trust, and to grow together. 💛 This recap is more than a collection of memories. It’s a record of shared time, shared faith, and a fandom that chose consistency over noise, and love over haste. Every cheer, every wait, every “hintayin natin” brought us here. 🥹 As we close the chapter on 2025, we do so with gratitude — for Az, for Ralph, and for everyone who made this year what it was. 💛 And as always, we move forward together. Because 2026 is already on the horizon with The Secrets of Hotel88, a much awaited meet and greet, and so much more waiting to unfold. 👀 Same love, bigger plans and dreams. Let’s keep going together, Razzles. Hold on tight. The best is yet to come. ✨ #AzRalph #AzMartinez #RalphDeLeon

𝟤𝟢𝟤𝟧 𝓌𝒶𝓈 𝒶 𝓎𝑒𝒶𝓇 𝓌𝓇𝒾𝓉𝓉𝑒𝓃 𝓌𝒾𝓉𝒽 𝒾𝓃𝓉𝑒𝓃𝓉𝒾𝑜𝓃, 𝓅𝒶𝓉𝒾𝑒𝓃𝒸𝑒, 𝒶𝓃𝒹 𝓊𝓃𝓌𝒶𝓋𝑒𝓇𝒾𝓃𝑔 𝓈𝓊𝓅𝓅𝑜𝓇𝓉. From PBB viewing and voting days to endless trending parties that brought us together as a fandom, from online space moments that felt just as close to live shows and events that brought us together in one space, from projects we built as a community to milestones we quietly celebrated side by side — this year reminded us what it means to stay, to trust, and to grow together. 💛 This recap is more than a collection of memories. It’s a record of shared time, shared faith, and a fandom that chose consistency over noise, and love over haste. Every cheer, every wait, every “hintayin natin” brought us here. 🥹 As we close the chapter on 2025, we do so with gratitude — for Az, for Ralph, and for everyone who made this year what it was. 💛 And as always, we move forward together. Because 2026 is already on the horizon with The Secrets of Hotel88, a much awaited meet and greet, and so much more waiting to unfold. 👀 Same love, bigger plans and dreams. Let’s keep going together, Razzles. Hold on tight. The best is yet to come. ✨ #AzRalph #AzMartinez #RalphDeLeon

AZRALPH OFFICIAL

127,190 просмотров • 6 месяцев назад

Switching languages while working used to break my flow. I would write something, pause to translate it elsewhere, come back, adjust the tone, then rewrite parts again. The context switching was more exhausting than the writing itself. That changed when I started using Translation Mode from Typeless. Now I simply speak naturally in my own language, and Typeless instantly turns it into clear, well written text in another language. It feels fast, effortless, and surprisingly natural. I can speak freely, and Typeless: • Translates my voice into another language in real time • Fixes grammar and improves sentence flow automatically • Adjusts tone so the message sounds professional and human • Structures emails, notes, and paragraphs cleanly on its own • Works directly inside the apps I already use Since Translation Mode works on both Mac and iOS, I can do this anywhere. At my desk, on my phone, or between meetings without breaking concentration. It feels less like translating text and more like thinking in one language and publishing in another. If your work involves writing or communicating across languages, this removes a lot of unnecessary friction. Try it here: Get Typeless for iPhone: #Typeless #TranslationMode #Productivity

Switching languages while working used to break my flow. I would write something, pause to translate it elsewhere, come back, adjust the tone, then rewrite parts again. The context switching was more exhausting than the writing itself. That changed when I started using Translation Mode from Typeless. Now I simply speak naturally in my own language, and Typeless instantly turns it into clear, well written text in another language. It feels fast, effortless, and surprisingly natural. I can speak freely, and Typeless: • Translates my voice into another language in real time • Fixes grammar and improves sentence flow automatically • Adjusts tone so the message sounds professional and human • Structures emails, notes, and paragraphs cleanly on its own • Works directly inside the apps I already use Since Translation Mode works on both Mac and iOS, I can do this anywhere. At my desk, on my phone, or between meetings without breaking concentration. It feels less like translating text and more like thinking in one language and publishing in another. If your work involves writing or communicating across languages, this removes a lot of unnecessary friction. Try it here: Get Typeless for iPhone: #Typeless #TranslationMode #Productivity

Manish Kumar Shah

32,209 просмотров • 5 месяцев назад