Build with AI when you want speed, edit visually when you want precision — design, database, logic, and privacy rules. Go from idea to launched app fa
Based on the provided social mentions, I cannot find any reviews or discussions specifically about "Bubble" as a software tool. The mentions primarily discuss AI industry bubble concerns, geopolitical topics, and general AI-related content, with several YouTube references to "Bubble AI" that lack detailed context. Without actual user reviews or specific mentions of Bubble's features, pricing, or user experience, I cannot provide a meaningful summary of what users think about the Bubble platform. More targeted reviews and social mentions specifically about Bubble would be needed for an accurate assessment.
Mentions (30d)
23
1 this week
Reviews
0
Platforms
3
Sentiment
0%
0 positive
Based on the provided social mentions, I cannot find any reviews or discussions specifically about "Bubble" as a software tool. The mentions primarily discuss AI industry bubble concerns, geopolitical topics, and general AI-related content, with several YouTube references to "Bubble AI" that lack detailed context. Without actual user reviews or specific mentions of Bubble's features, pricing, or user experience, I cannot provide a meaningful summary of what users think about the Bubble platform. More targeted reviews and social mentions specifically about Bubble would be needed for an accurate assessment.
Industry
information technology & services
Employees
510
Funding Stage
Venture (Round not Specified)
Total Funding
$106.3M
Trump’s 2026 SOTU Speech: Economic Obfuscation and Political Theater
  Trump’s 2026 State of the Union speech was historic—but only in the sense of the longest ever at 1 hour and 47 minutes. Apart from that, the speech was one third misrepresentations about the state of the American economy followed by more than an hour of pure political theater which has come to increasingly presidential SOTU addresses in recent years. The misrepresentations of the state of the economy covered topics like inflation and cost of living, record stock market prices and asset wealth creation, his $5 trillion tax cuts almost all of which have accrued to corporations, businesses and investors, and his tariffs which have little to do with trade or economics and everything to do with raising revenue for defense spending and political intimidation of other countries. **JOBS** Treated very briefly in passing was the topic of jobs. Trump’s avoidance of the topic is understandable—given that this past year the US economy has created a total of only 181,000 jobs; i.e. barely 15,000 jobs month, a level which isn’t even sufficient to provide employment for new entrants to the labor force which ordinarily averages at least 100,000 every month. On the topic of jobs, Trump also made no mention whatsoever of the current unemployment level. When including involuntary part time, temp, and discouraged workers, as well as full time employed, per the government’s own estimates unemployment has been averaging around 8%. That’s more than 11 million US workers jobless! Moreover, even that 8% number excludes the 10 million workers who are self-employed independent contractors which government statistics conveniently ignore by classifying them as business owners, not workers. So the actual unemployment number of unemployed is thus at least 10% when properly estimated. Trump made passing reference to the fact that the 181,000 jobs created were 100% in the private sector—without indicating the number of course. Nor did he bother to mention that he managed to fire 27,000 federal government workers. It’s true, as he said, the US economy is at the highest employment levels ever in 2025—by 181,000 jobs of course. **ECONOMIC GROWTH** Another economic topic, this time completely unmentioned, was the overall real growth of the economy in 2025. Measured in Gross Domestic Product terms, GDP, the most generally accepted indicator, the US economy grew only 2.2% in all of last year! That’s down from 2.4% in 2024 before he was elected. More ominous, in the last three months of 2025 the economy slowed rapidly even more to only 1.4%. And it was actually even much slower, since the inflation adjustment used by the government, called the Personal Consumption Expenditure (PCE) price index notoriously underestimates inflation which, in turn, boosts the reported GDP numbers. If properly inflation adjusted, actual GDP in 2025 was closer to 1% than even the reported 2.2%. Nevertheless, Trump on several occasions bragged “we’re the hottest country in the world!” As for future economic growth Trump continually says other countries have promised to invest $18 trillion in the US economy! But virtually all of that are just verbal pledges, mostly designed no doubt to placate Trump during negotiations over tariffs. It’s difficult to see how the Europeans, Japanese and others—all of whose economies are either in recession or stagnant—are going to invest that amount in America’s economy instead of their own. **INFLATION** Trump did spend some time repeatedly claiming that inflation was reduced dramatically during his first year in office. More than once he proclaimed “inflation is plummeting”. He referenced what is called ‘core’ inflation in the PCE price index, which conveniently excludes food prices, housing costs, mortgage rates, and all other kinds of interest rates on autos, credit cards, and other loans—all of which rose last year. And there was a big problem with the PCE price-inflation index, whether ‘core’ or what’s called ‘headline’, which includes food and energy prices. Readers might think the PCE is constructed by the government going out and surveying a large sample of the millions of goods and services in the economy. It doesn’t. It takes a conglomeration of other surveys and estimations performed by the US Labor and Commerce Departments, puts their results together somehow, adds assumptions of its down, employs questionable methodologies, and comes up with a number that grossly underestimates actual prices in general. And here’s a bigger problem with the PCE in 2025. In the fourth quarter of 2025 the government shut down for six of the twelve weeks in the October-December period. During that period there were no surveys done by either the Labor or Comme
View originalI built a visual multi-agent team designer - drag & drop 28 agents, run live simulation, generate prompts. Single HTML file, zero dependencies.
I kept running into the same problem: designing multi-agent Claude Code teams by hand. Writing orchestration prompts for 10+ agents, figuring out which model goes where, making sure the workflow makes sense - it was slow and error-prone. So I built a visual designer for it. What it does You drag agents onto a canvas, connect them into workflows, assign models (Opus/Sonnet/Haiku), run a live simulation, and export a ready-to-use system prompt. One HTML file, zero dependencies, works offline. Live demo: https://thejacksoncode.github.io/Agent-Architecture/ Source: https://github.com/TheJacksonCode/Agent-Architecture Quick demo To get the full experience: open the demo -> pick "Deep Five Minds Ultimate" from the preset sidebar -> click "Simulation" -> watch 27 agents talk to each other. What's inside 28 agents across 6 phases (strategy, research, debate, build, QA, HITL) 29 presets from a 2-agent Solo setup to a 27-agent full orchestra Five Minds Protocol - structured debate: 4 domain experts + Devil's Advocate argue in rounds, then a Synthesizer on Opus produces a "Gold Solution" HITL Decision Gates - simulation pauses at 3 human checkpoints with a 120s countdown timer Live Simulation - agents exchange speech bubbles and data packets along SVG connections Mission Control - fullscreen dashboard with real-time metrics and communications log Agent Encyclopedia - research-backed prompts, anti-patterns, and analogies for every agent Dark/Light theme + full PL/EN bilingual UI How Claude helped build it This entire project was built with Claude Code. Every version (there are 31 of them) was pair-programmed with Claude. The agent prompts follow a structured format: ROLE / INPUT / OUTPUT / RESPONSIBILITIES / RULES / WHAT YOU DO NOT DO / REPORT FORMAT. Example prompt structure (Research Tech agent): ROLE: You are Research Tech - a technical researcher specializing in finding current solutions, libraries, APIs, and implementation patterns. INPUT: Research brief from Planner with specific technical questions. OUTPUT: Structured report with findings, each labeled [CERTAIN], [PROBABLE], or [SPECULATION]. WHAT YOU DO NOT DO: You do not recommend solutions. You do not coordinate with other researchers (to prevent groupthink). Tech stack ~4600 lines of vanilla JS in a single HTML file. Canvas 2D for particles, inline SVG for connections, Web Animations API for agent animations, CSS variables for theming. No npm, no build step, no CDN. 31 versions, each saved as a separate file. I never overwrite previous versions. I'd love to hear what multi-agent workflows you're using with Claude Code, and what agents/presets would be useful to add. Happy to answer any questions about the architecture. submitted by /u/ConceptParticular565 [link] [comments]
View originalI resurrected LavaPS - a Linux process monitor from 2004 that died when GNOME2 did. Running on a robot car.
LavaPS displays every running process as a bubble in a lava lamp — bigger = more memory, faster rising = more CPU. Written by John Heidemann in 2004. Died around 2012 when libgnomecanvas was deprecated. We ported it to GTK3 + Cairo. The blob physics, process scanning, and color logic were solid — just the rendering layer needed replacing. Source: https://github.com/yayster/lavaps-modern Full video (with demo): https://youtu.be/cWBE4XkmNyQ This is Episode 2 of Picar — an AI riding around in a robot car on a Raspberry Pi 5. submitted by /u/yayster [link] [comments]
View originalJust built an open-source desktop app to manage multiple Claude coding sessions!! Would love your feedback.
Hey everyone！ I've been using Claude Code CLI every single day across multiple projects, and I finally got fed up with the usual headache: - Constantly juggling a dozen terminal tabs and losing track of which agent is doing what - No good way to see all my agents at a glance - Having to copy-paste the same instructions over and over - Sessions dying every time I close my laptop So I built **Claude Code Studio** — a desktop app that gives you a proper cockpit for multiple Claude Code CLI sessions. ## What it does - Real multi-pane terminals (1, 2, or 4 side-by-side with actual xterm.js — not fake chat bubbles) - Activity Map — live overlay so you can instantly see what every agent is thinking/doing - Config Map — visual view of your entire CLAUDE.md setup, MCP servers, hooks, and memory - Task Chains — auto-trigger Agent B when Agent A finishes - Broadcast mode — send one instruction to all agents at once - Full SSH + tmux support — sessions survive even if you disconnect (pairs amazingly with Claude Remote Controller) - Workspace isolation + per-workspace MCP/API settings - Composer on the side — because editing long prompts in a terminal sucks, so I added a proper rich input with prompt templates and Plan Mode It wraps the official Claude Code CLI, so you still use your existing setup. This is just a much nicer interface on top. ## Looking for feedback This is still v0.9.3 and very much a work in progress. I'd love to hear your honest thoughts: - What’s missing that would make this actually useful for you? - Anything confusing or clunky in the UI? - Bugs (Windows is most tested, Mac/Linux should work but less battle-tested) ## Links - GitHub: https://github.com/wat-hiroaki/claude-code-studio - Downloads: Releases page (Windows/Mac/Linux installers) Fully open source (MIT). PRs and issues are very welcome! submitted by /u/Remote-Bench6176 [link] [comments]
View originalCan You Spot the Logic Trap?
I built a free Logical Fallacy Detection trainer — 40 interactive scenarios, all in one HTML file Hey everyone, I'm a brain scientist (PhD) and I've been building free browser-based cognitive training tools at brains4goodlife.com. My latest one is a Logical Fallacy Identification app that I built entirely with Claude. What it is: A single-page HTML app that teaches you to spot 20 types of logical fallacies (ad hominem, straw man, slippery slope, false dilemma, etc.) through 40 real-world dialogue scenarios. You read a short conversation, identify which fallacy is being committed in the highlighted speech bubble, and get detailed feedback — why it's a fallacy, a better approach, and a similar real-life example. It tracks your score, shows streaks, and gives you a rank at the end (from "Logic Seedling" to "Master Logic Detective"). How Claude helped: I used Claude (via claude.ai) for the entire development process. I had an existing Korean-language version of the app and asked Claude to create a full English version — not just translate, but culturally adapt all 40 scenarios for English-speaking audiences. Korean-specific references (Korean hospitals, TV shows, idioms like "까마귀 날자 배 떨어진다") were replaced with Western equivalents (Mayo Clinic, "I wore my lucky socks and my team won"). Claude also wrote all the fallacy definitions, feedback text, and the complete working HTML/CSS/JS in a single file. How to try it: It's 100% free, no login, no install, no ads. Just open the page in any browser and start: https://brains4goodlife.com/logical-fallacies-app-en The whole thing is a single standalone HTML file — works offline too if you save it. I also have a Korean version and 100+ other free brain health apps on the same site. Would love to hear feedback on the scenarios or if any fallacy explanations could be clearer. Thanks! https://preview.redd.it/dcekfqzh4htg1.png?width=1629&format=png&auto=webp&s=b80c927a22fd9b262c9704edcad38811ec6371b0 Logical Fallacy Detection submitted by /u/shcbrain101 [link] [comments]
View originalI built an AI job search system with Claude Code that scored 740+ offers and landed me a job. Just open sourced it.
Edit: title should say "scored 740+ listings" not "offers": it evaluated 740+ job postings, not 740 actual job offers. my bad on the wording. A few weeks ago I shared a video of this system on r/SideProject (534 upvotes). A lot of people asked for the code, so I cleaned it up and open sourced it. What it is: A Claude Code project that turns your terminal into a job search command center. You paste a job URL, and it evaluates the offer, generates a tailored PDF resume, and tracks everything. How Claude helps: Claude Code reads a CLAUDE.md with 14 skill modes and acts as the engine for everything — evaluating fit across 10 dimensions, rewriting your CV per listing, scanning 45+ company career pages, preparing STAR interview stories, even filling application forms. It's not a wrapper around an API — it's Claude Code with custom skills. What's in the repo: 14 skill modes (evaluate, scan, PDF, batch, interview prep, negotiation...) Go terminal dashboard (Bubble Tea) to browse your pipeline 45+ companies pre-configured (Anthropic, OpenAI, ElevenLabs, Stripe...) ATS-optimized PDF generation via Playwright Onboarding wizard — Claude walks you through setup in 5 minutes Scoring system focused on quality over quantity (this is NOT a spray-and-pray tool) Important: The system is designed to help you apply only where there's a real match. It scores fit so you focus on high-quality applications instead of wasting everyone's time. Always review before submitting. Free, MIT licensed, no paid tiers: https://github.com/santifer/career-ops Full case study with architecture: https://santifer.io/career-ops-system I used it to evaluate 740+ offers before landing my current role as Head of Applied AI. Happy to answer questions about the architecture or how to customize it for your own search. submitted by /u/Beach-Independent [link] [comments]
View originalI built a tool that captures Claude Code's companion speech bubbles before they vanish
If you use Claude Code in the terminal, you've probably noticed the little companion character that pops up with speech bubbles while you work. The thing is — those messages are ephemeral. The TUI redraws and they're gone. Some of them are actually useful observations about your code, warnings about bugs, or just genuinely funny commentary. So I built companion-capture — an open-source tool that watches the terminal output, extracts those bubble messages, and saves them to markdown files (and optionally SQLite for search). How it works: - A shell wrapper launches Claude Code through script -q -F to capture raw terminal output - A Python parser runs a VT100 screen buffer (not ANSI stripping — actual cursor position tracking) to figure out where text is actually rendered - Messages require two consecutive scans before being written, so you don't get half-rendered garbage - A PostToolUse hook surfaces new captures back to Claude mid-session, so it can actually see what the companion said Features: - Zero runtime dependencies (stdlib Python only) - Full-text search across captures (companion-capture search "auth bug") - Privacy controls — exclude patterns, project blocklists, retroactive redaction - Opt-in contextual recall that feeds recent captures back to Claude automatically - companion-capture doctor for health checking the whole setup - 400+ pytest cases What I've found using it: The companion actually catches things. It flagged a migration script that had no test coverage. It noticed a race condition in a multi-session setup. Most of the time it's vibes and reactions, but every few sessions it drops something genuinely worth reading back. MacOS + Claude Code only for now. No external dependencies, MIT licensed. GitHub: https://github.com/jwadhwa2259/companion-capture Would love to hear if others find the companion messages useful or any reviews/feedback. submitted by /u/Ancient-Yam-7461 [link] [comments]
View originalBuddy Bubble Capture *.* Glimmer - save your buddy's comments before they disappear!
I have build a buddy bubble logging script with claudecode&codex, specifically for claudecode its buddy! So the bubbles of our buddies get logged <3 its a bit bugged but hey, rather that than nothing. Repo https://github.com/reallyunintented/GlimmerYourBuddy free of course. grateful for anyone looking and contributing so it can get better please! submitted by /u/isitokey [link] [comments]
View originalI shipped a 55,000-line iOS app without writing a single line of Swift. 603 Claude Code sessions. Here's what I learned.
I'm a marketer. Not a developer. The closest I've come to coding was breaking a WordPress theme in 2017. In February 2026, I shipped an iOS app called One Good Thing to the App Store. It's a daily thought app: one card per day from philosophy, psychology, evolutionary biology, cultural lenses, mathematical paradoxes. You read it, carry it or let it go, and close the app. Under two minutes. 55,000 lines across 288 files. Swift, TypeScript, React. I didn't write any of it. Claude did. But the product is mine. What Claude built The iOS app alone is 22,000+ lines of Swift across 163 files. Full design system with custom typography, adaptive colors, and a signature haptic language. Every icon and illustration is Canvas-drawn code. No image assets anywhere. The door, the faces, the mind illustration that evolves as you use the app: all generated with Swift Path and Canvas drawing commands. Claude drew them from my descriptions. 12 Siri Shortcuts. Apple Watch companion. Three widget sizes with interactive carry actions. An AI "Ask" feature that lets you have a private conversation with any thought card. The backend is 14 Firebase Cloud Functions. The landing page is a Next.js site with a personality quiz, blog, and affiliate system. All Claude. The Resonance Loop The feature I'm proudest of. Days 1-14, the algorithm cycles through all 12 content categories so you encounter everything. Day 15 onward, it personalizes: 70% from categories you tend to carry, 20% from categories you've ignored (preventing filter bubbles), 10% from what's resonating across all users. Over time it builds a Thought Garden: a visual map of your intellectual curiosity. The shape is different for everyone. Claude wrote every line. I described the logic in plain English and debugged it across maybe 40 messages. What the workflow actually looks like It's not "describe a feature, Claude writes it perfectly." It's more like: Describe the feature precisely Claude generates code Build fails. Paste error. Claude fixes it. Different error. Repeat 3 to 40 times It compiles but looks wrong Describe what's wrong, iterate until right 10% description, 90% debugging. The AI is not the bottleneck. You are. Your ability to see what's wrong and articulate the gap between your vision and the output is the entire skill. What I learned Precise English descriptions produce precise code. Vague inputs produce vague outputs. Product taste matters more than knowing the language. I spent months on research and content before a single line of code. I spent two hours chasing 4 pixels of misaligned padding. Aesthetic sensibility is the one thing AI can't replace. The CLAUDE.md file is everything. Mine is 1,500+ lines. It's the project's brain. 8 App Store rejections. Claude and I averaged 80 messages per session at 2am fixing each one. Where it's at 400+ signed-up users as of writing this post. Just me and Claude. Free trial for this community Since Claude literally built this, I'd love for r/ClaudeAI to try it. The core daily thought is free forever. I'm offering 14 days of free premium features (Ask AI, Thought Garden, Curiosity Constellation, Monthly Portraits). App Store: https://apps.apple.com/app/one-good-thing/id6759391105 Get your unique code here: https://onegoodthing.space/redeem Website: https://onegoodthing.space Happy to answer questions about the Claude Code workflow, the architecture, or the Apple rejection saga. submitted by /u/Evening-Strike-2021 [link] [comments]
View originalWhy doesn’t Claude provide inline autocomplete like Gemini in VS Code?
I’m running Claude in a terminal and also using the VS Code Claude extension. Unlike Gemini, which would sometimes bubble up inline suggestions as I typed, Claude only responds when I explicitly trigger it (e.g., with Cmd + I). Is there any way to get Claude to suggest completions in real-time as I type, similar to Gemini or Copilot? Or is the extension/CLI strictly prompt-based? I want to understand if this is a limitation of Claude itself or if I’m missing a setting. submitted by /u/enriquehoja [link] [comments]
View originalI built a Chrome extension that lets Claude Code read/write your SMS/RCS messages through Google Messages — but I'm stuck on one last thing
I spent the last 2 days trying to get Claude Code to handle my SMS conversations (I run an insurance brokerage + lawn care business and wanted AI-assisted customer replies). What I tried first: OpenMessage (Docker + libgm protocol) — SSE sessions expire after a few minutes of inactivity. You get "Invalid session ID" errors and have to restart the Docker container. Also 7 MCP tools = ~1,500 tokens eaten from every conversation. New messages don't sync until restart. TextBee (Android SMS gateway app) — All your private SMS messages route through their cloud servers. SMS only, no RCS. Need a webhook server + Tailscale/ngrok just to receive messages. Five moving parts for basic texting. What I built instead: A Chrome extension that injects into your existing Google Messages Web session and bridges it to Claude Code via MCP (stdio + WebSocket). No Docker. No cloud servers. No phone apps. Just your browser. Claude Code ←stdio→ MCP Server (Node.js) ←WebSocket→ Chrome Extension (messages.google.com) What works: list_chats — All conversations with names, snippets, timestamps. Perfect. read_messages — Full message history with sent/received direction. Perfect. send_message — Fills in the text but... doesn't actually send. The problem: Google Messages Web is an Angular app. Chrome extension content scripts run in an "isolated world" — separate JS context from the page. Angular's zone.js only patches event listeners in the main world. So when my extension sets the textarea value and clicks Send: The text appears in the input ✓ The send button gets clicked ✓ But Angular's form control doesn't detect the value change, so the click handler thinks the field is empty ✗ I tried EVERYTHING: Native value setter + input events document.execCommand('insertText') Full mouse event sequence (pointerdown/mousedown/mouseup/click) Enter key simulation Manifest V3 world: "MAIN" content script (this gets closest — the value is set from within Angular's zone, button is clicked, but still doesn't send) The send button debug output from the main world script: { "valueSet": true, "btnLabel": "Send end-to-end encrypted RCS message", "clicked": true, "inputAfter": "text still here...", "sentVia": "none" } Currently it works as a "draft" tool — fills in the message and you manually click send. But I want full automation. If you've solved programmatic input in Angular apps from Chrome extensions, I'd love to hear how. Possible solutions I haven't tried: chrome.debugger API for trusted input events Accessing Angular's NgZone via __ngContext__ on DOM elements CDP (Chrome DevTools Protocol) for Input.dispatchKeyEvent Repo: https://github.com/GURSEWAKSINGHSANDHU/google-messages-mcp Issue: https://github.com/GURSEWAKSINGHSANDHU/google-messages-mcp/issues/1 Only 3 tools, ~300 tokens overhead. If we crack the send, this is the cleanest Google Messages integration for any MCP client. For r/selfhosted: Title: Built a self-hosted Google Messages MCP bridge — no cloud, no Docker, no third-party apps. Just a Chrome extension. Need help with one Angular quirk. Body: I wanted my AI assistant (Claude Code) to read and respond to SMS/RCS messages on my business phone. Tried two existing solutions: OpenMessage: Docker container using libgm to emulate Google Messages pairing. SSE sessions expire randomly, messages don't sync in real-time, and it eats 1,500 tokens per conversation just for tool definitions. TextBee: Android app that turns your phone into an SMS gateway. But all messages route through their cloud. No RCS. Needs webhook server + tunnel. Five components for basic texting. My solution: A Chrome extension that talks to your already-paired Google Messages Web session. Node.js MCP server communicates via WebSocket on localhost:7008. Everything stays on your machine. 3 MCP tools (~300 tokens) stdio transport (no session expiry) Full RCS support (native Google Messages) E2E encryption preserved Zero cloud dependencies Reading messages works perfectly. Sending has one remaining issue — Angular's zone.js doesn't detect programmatic input from Chrome extensions, even from a world: "MAIN" content script. The text gets filled in but the send button click doesn't trigger Angular's change detection. Looking for anyone experienced with Angular internals or Chrome extension DOM automation. GitHub: https://github.com/GURSEWAKSINGHSANDHU/google-messages-mcp For r/webdev or r/angular: Title: How to trigger Angular change detection from a Chrome extension's main-world content script? Body: Building a Chrome extension that interacts with an Angular app (Google Messages Web). I need to programmatically set a textarea value and click a button, but Angular's reactive form doesn't detect the changes. Setup: Manifest V3 extension with world: "MAIN" content script (runs in page's JS context, not isolated world) The textarea is bound to an Angular reactive form control Production build (no ng.g
View originalWhy do many people want to burst the AI 'bubble'?
I feel AI will make humans life a lot better if handled in a way. It already boosts research and further down the road it will cure many diseases submitted by /u/SpaceRockClub [link] [comments]
View originalChina’s daily token usage just hit 140 TRILLION (up 1000x in 2 years). Is the "OpenClaw" hype just a massive token-sink to hide compute overcapacity and feed the AI bubble?
I was reading some recent Chinese tech news, and the latest stats on token consumption are absolutely insane. They are calling it a "Big Bang" in the token economy. Here is the breakdown of the numbers: March average daily token calls: Broke 140 trillion. Compared to early 2024 (100 billion): That’s a 1000x increase in just two years. Compared to late 2025 (100 trillion): A 40% jump in just the last three months alone. A massive driver for this exponential, off-the-charts growth is being attributed to the sudden, explosive popularity of OpenClaw. But this got me thinking about a different angle, and I'm curious if anyone else is seeing this. What if the massive push and hype behind OpenClaw isn't actually about solving real-world problems or "headaches"? Over the last couple of years, tech giants and massive server farms have been overbuying GPUs and aggressively hoarding compute. We've seen a massive over-demand for infrastructure. What if we've actually hit a wall of excess token capacity? In this scenario, hyping up an incredibly token-hungry model like OpenClaw acts as the perfect "token sink." It justifies the massive capital expenditures, burns through the idle compute capacity, and creates the illusion of limitless demand to keep the AI bubble expanding. Instead of a genuine breakthrough in utility, are we just watching the industry manufacture demand to soak up an oversupply of compute? Would love to hear your thoughts. Are these numbers a sign of genuine mainstream AI adoption, or just an industry frantically trying to justify its own hardware investments? submitted by /u/SwiftAndDecisive [link] [comments]
View originalI built an open-source embeddable AI chat widget — drop it into any site with one script tag
I kept getting the same request from clients: "Can we add a chatbot to the site?" Every time it was either pay $50+/month for a SaaS tool or build something from scratch. So I built Claudius! It's an open-source, self-hosted chat widget powered by Claude that you can embed on any website. What it does: Floating chat bubble, works on any site (WordPress, Webflow, static HTML, React, whatever) Backend runs on Cloudflare Workers (free tier handles a lot of traffic) You write a system prompt with your business info and it becomes your custom AI assistant Dark mode (light/dark/auto), conversation persistence, markdown rendering KV-based rate limiting so one user can't blow up your API costs WCAG 2.1 AA accessible, responsive down to 320px Fully configurable: colors, title, theme, system prompt Stack: React 18, TypeScript, Tailwind, Vite (widget) + Cloudflare Workers, Hono, Anthropic SDK (backend) How to embed it: Three files: set window.ClaudiusConfig with your worker URL and preferences, include the CSS, include the JS. That's it. What it costs to run: Your only cost is the Anthropic API usage. Cloudflare Workers free tier gives you 100k requests/day. For a small business site getting a few chats a day, you're looking at pennies. MIT licensed. No telemetry, no tracking, no SaaS middleman. GitHub: https://github.com/PMDevSolutions/Claudius Happy to answer questions about the architecture or implementation. This is the third project I've open-sourced from my dev studio — the other two are a React framework (Aurelius) and a WordPress framework (Flavian), both Claude Code-integrated. submitted by /u/PMDevSolutions [link] [comments]
View originalScarcity in Compute & AI Productivity
There was a scandal a few weeks ago where apparently the Department of War wanted to, allegedly, use Claude to operate killer drones and engage in mass surveillance. The Trump administration has denied it, but this move by Anthropic saw a surge in goodwill towards Claude and subscriptions spiked. This occurred soon after Anthropic revealed Chinese LLMs like DeepSeek had been trained on interacting with Claude as a convenient shortcut to absorbing American LLMs' abilities. Dario Amodei had, according to STEM podcaster Dwarkesh Patel, refrained from investing a lot in data centers and compute. This made sense at a time when people thought that not only Anthropic, but OpenAI as well, might be temporary hype. Data center operators were reluctant to enter into long term contracts with AI firms and investors thought investing would be a bad bet. Fast forward to now, its still not clear that AI investments actually are a bubble waiting to pop and business use for AI models has grown substantially. More recently, mathematics and theoretical physics departments have found ways to incorporate AI into their workflows. Demand for AI has continued to grow and the sorts of problems people are working with AI on are becoming increasingly complex. All of this has also led to increasing specialization. OpenAI recently announced they are ending Sora, a video generation model, as compute costs are high while ROI is low. OpenAI also courted a lot of controversy by ending GPT 4o, which was popular for having very human-like interactions with users. Anthropic is in a worse position. Dario Amodei's initial refusal to investment more aggressively in compute seems to have backfired. Claude is uniquely capable, combining human-like interactions with exceptional coding ability, but the surge in demand means Claude experiences outages *daily* and users are frustrated. But it seems like Anthropic may have made a bargain and one that is likely to be costly. A few days ago there was another severe outage. Anthropic also ended the offer to users where Claude could be used 2x outside of normal American business hours. In other ways working with Claude seems smoother with fewer explicit outages, but Claude now takes a lot more shortcuts without announcing them to users, Claude makes a lot more mistakes, and the reaction to having it pointed out is met with apologies and inaction. submitted by /u/CartographerTadzhik [link] [comments]
View originalBuilt a free video transcription tool with Claude Code to fix my own editor workflow free to try looking for feedback from anyone who tries it
I'm a video editor. Was constantly switching between 4 tools just to get a clean subtitle file out the other end, so I described the problem to Claude Code in plain English and had it build a solution step by step. The result is called Treelo - treelo-nine.vercel.app What it does: Drop in audio or video (MP3, WAV, M4A, MP4, MOV - up to 200MB) Auto-transcribes and breaks it into editable timestamp blocks Caption style presets: MrBeast, Hormozi, Clean, Viral, Minimal, Mumbai Custom font upload (.ttf/.otf) SFX track with per-timestamp placement Exports SRT, VTT, ASS (DaVinci-ready) and WAV Free to try, no account required. Free tier includes 5 transcriptions/day, max 60 mins per file. How Claude Code actually helped: I'd describe a broken feature or missing piece in plain English, Claude Code would implement it, I'd test it and describe the next problem. The waveform editor, export logic, and preset system all came out of that back-and-forth. No formal spec, just conversation. Happy to answer questions about the build process if useful to anyone. submitted by /u/Mindless-Line3026 [link] [comments]
View originalBased on user reviews and social mentions, the most common pain points are: token usage, API costs.
Based on 41 social mentions analyzed, 0% of sentiment is positive, 100% neutral, and 0% negative.
ThePrimeagen
Content Creator at Netflix / YouTube
2 mentions
