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Next task - building a training program generator. Pretty straightforward using Claude Sonnet 4.6. Will complete, refine, set up payment system, and test. I don't intend this project to go live - I'm just learning; zero background in coding or software development.

15,597 görüntüleme • 6 ay önce •via X (Twitter)

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Introducing a new tool called "SideChannel". A secure alternative to OpenClaw. Utilizes signal for communication and has Claude integration. I built SideChannel, an open-source Signal bot that connects Claude AI to your entire development workflow. End-to-end encrypted. From your pocket. The real power is autonomous development. Send one message like "Build a REST API with auth, pagination, and tests" and SideChannel will: - Generate a full PRD with stories and atomic tasks. - Dispatch up to 10 parallel workers (each running Claude). - Independently verify every task with a separate Claude context. - Run quality gates to catch regressions - Auto-fix failures. - Send you progress updates via Signal as work completes. Every piece of code is reviewed by a separate AI context using a fail-closed security model. If it detects security issues, backdoors, or logic errors — the code gets rejected automatically. No rubber stamps. It also has memory that actually works. Conversations are stored with vector embeddings for semantic search. Claude remembers your project conventions, past decisions, and what's been tried before. It gets smarter about your codebase over time. Other things I'm proud of: - Plugin framework for extending with custom commands. - Multi-project support with per-user scoping. - Rate limiting, path validation, phone allowlist. - Git checkpoints before every task, atomic commits after. - Stale task recovery, circular dependency detection. - Works on Linux and macOS, one-command install. It also integrates into OpenAI or Grok (optional) for more Generative AI response for simple things like "Whats the weather in New York City right now?".

Dave Kennedy

49,559 görüntüleme • 6 ay önce

🚨BREAKING: just dropped their Shopify integration yesterday. Now you can build a complete Shopify store by talking to AI. This changes a lot of things for ecom. WHAT THIS MEANS: Lovable AI can now: • Build complete online stores from text prompts • Set up checkout and shopping cart automatically • Add products with AI-generated descriptions • Deploy live stores in minutes, not weeks They proved it by building their own merch store: lovable[.]dev/merch THE OLD ECOM SETUP: • Hire Shopify developer ($3K-$10K) • Wait 2-4 weeks for completion • Go through endless revision cycles • Pay for theme customizations • Debug technical issues • Launch after months of delays THE NEW REALITY: "Build me an online store for selling fitness equipment" → AI creates complete store in 10 minutes → Add products with descriptions → Click publish → Start selling immediately WHAT THIS MEANS FOR ECOM OWNERS: The Technical Barrier Just Disappeared: • No coding knowledge required • No designer needed for basic stores • No developer for functionality setup • No technical troubleshooting Speed Becomes the New Standard: • Test product ideas in hours, not months • Launch seasonal stores instantly • Pivot business models without rebuilding • A/B test different store concepts rapidly The Cost Structure Changes: • $29/month Shopify + AI tool vs. $10K+ development • Instant iterations vs. expensive revisions • Self-service setup vs. agency dependencies • Focus budget on marketing, not development THE REALITY: While you're waiting 6 weeks for your developer to finish your store… Your competitor just described their business idea to AI and launched 3 different store variations to test the market. THE OPPORTUNITY FOR BRANDS: • Test 10 product ideas instead of 1 • Launch seasonal campaigns instantly • Create niche stores for different audiences • Focus on products and marketing, not tech THE WINDOW IS CLOSING: Right now, most ecom owners don't know this exists. In 6 months, everyone will expect instant store creation. In 12 months, waiting weeks for a basic store will look amateur. As for me, I’ll say basic Shopify development just became commoditized. P.S. Thanks to Lovable, everyone will have a store soon. Your real edge isn't in JUST building it. It's in the operations, automations, and strategy that make it profitable.

Lian Lim | Dashboard & AI Automation Expert

14,316 görüntüleme • 10 ay önce

I'M LOOKING FOR A TECHNICAL PARTNER I'm looking for a coding wizard to help me build software (and to bounce ideas with). The deal is simple: you build / I distribute You do all technical work. I do all marketing, distribution, customer research. What I bring to the table: • deep expertise in social media marketing/distribution/email marketing/copywriting • total audience of 160k + 42k newsletter (that's a lot of eyeballs ready to see what we build) • big network of creators we can use to co-market • experience building media companies from scratch • sold over 7 figs worth of products to an audience before I deeply care about product so I'll be involved in everything but the coding side. I will document our journey with build in public content (X, LinkedIn, YouTube). You don't need to be part of the content if you don't want to, I'll gladly be the dancing monkey. What I AM looking for: • Full stack (at least to certain extent to get decent MVPs out there) • high agency, high creativity and product sense< • you've made money with your software before • a love for cash-flow • you love homemade goulash as much as I do (well, this one is not set in stone) • someone to share shitposts and memes with (you can't compete with someone who's having fun, I deeply believe this) • someone who is obsessed with building something that people LOVE instead of just use • someone who wants to build something to be really proud of What I'm NOT looking for: • ideas that need VC funding to get started • 2 years of building before we see a dollar • someone who started coding 12 months ago • someone running 3 other side projects • someone addicted to call-culture I'm not 100% certain on the idea yet. We'll figure this out together by testing demand with an audience. We'll probably test a few ideas quickly before going all-in on whatever gets the best signal from the market. Areas I find interesting right now: • AI enhanced-B2B content/GTM/marketing tools • Financial market analytics/consumer finance • Gamified health/longevity apps (probably mobile) Building and creativity is a way of life for me. It goes far beyond the money-creation part of work. I love bringing things into the world. Best case it's similar for you. We'll shoot the shit a lot, send memes, and have fun while working hard on whatever we build. There's also an option to do this on a salary instead of a split I'm open to both. Answer a few quick questions in the form below (next post) I will reach out to people that seem like a good fit. Please tag people who might be interested. RT for visibility so your coding genius friends can build something awesome with me!

Ole Lehmann

117,743 görüntüleme • 9 ay önce

Robora Sim: A PyBullet-Powered Environment for Learning Robotic Physical Intelligence We are currently building our Robora simulation environment setup for our sim based learning, leveraging PyBullet, an industry-standard physics engine widely used in AI-driven robotics research and development. The environment is optimized with GPU-accelerated learning algorithms, enabling high-speed imitation learning and reinforcement learning within a safe and controlled virtual setup before shipping out to real world. This simulation platform allows our models to learn, adapt, and generalize across different robot morphologies, terrain types and task objectives - all before deployment to the real world. At it's core, the system combines a VLA-powered high-level planner with low-level motion control algorithms, working cohesively to produce emergent, physically intelligent behaviors. This synergy between simulation, learning, and real-world transfer marks a major step forward in our pursuit of adaptive and intelligent robotic systems. Through advanced domain randomization and synthetic data generation, the Robora Simulation Environment ensures that policies trained in simulation transfer effectively to real-world robots, minimizing the sim-to-real gap. Moreover, users will be able to test and integrate their own hardware kits within selected simulation environments in the Robora Dapp, ensuring seamless compatibility and safer real-world implementation.

Robora

23,522 görüntüleme • 11 ay önce