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Seedance 2.8 API Guide is the most comprehensive resource for developers working with ByteDance's Seedance 2.0 videmodel. Covers text-to-video, image-to-video, multi-modal Btag references, camera movement replication, and production wtutorials include ready-to-run Python code samples.
Seedance 2.0 API GuideDeveloper guide for Seedance 2.0 video generation API
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Hi Hunters! 👋 I'm excited to share the Seedance 2.0 API Guide with you today. Why I built this: When working with ByteDance's powerful Seedance 2.0 video generation model, I realized that developers needed a more centralized, structured, and easy-to-follow resource to quickly integrate it into their production workflows. What it solves: This guide is designed to save developers hours of trial...
Seedance 2.0 API GuideDeveloper guide for Seedance 2.0 video generation API
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Really like this idea 👏 As agentic coding gets more powerful, having a place to share real workflows, failures, and trade-offs feels increasingly important. Tools like Claude Code, Cursor, MCP servers, etc. are moving fast, but practical knowledge often lives in people’s heads, not docs. A community that focuses on what actually works (and what breaks) is super valuable. Excited to see how this...
Humans in the LoopA free community to talk all-things-agentic-coding-AI
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Curious about the relationship with Claude’s cowork / Claude Work. Is OpenWork purely an open-source alternative inspired by that workflow, or is there any direct integration or compatibility with Claude’s official cowork features? Trying to understand how much of this is conceptual inspiration vs. shared primitives.
OpenWorkOpen-source Claude Work alternative, powered by OpenCode
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Curious about the long-term usage model here. Is Lifemap meant to be a one-off guided planning experience, or a habit-forming product that users return to regularly over time? How do you think about engagement and retention once the 7-step journey is completed?
Lifemap - Find Your PurposeBeging Your New Life Journey
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This hits a very real technical pain point for local coding agents. Current agents (Claude Code, Gemini CLI, Codex, etc.) don’t fail because of model quality — they fail because they need frequent, low-latency human steering. Once you step away from the terminal, the feedback loop breaks. Sled’s approach is clean and opinionated: Voice as a lightweight control channel Agent execution stays...
SledRun your coding agent from your phone, with voice
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Context loss is THE killer problem for AI-assisted development. @howznguyen Your insight about letting AI read tasks and docs directly resonates deeply—we waste so much time copy-pasting context that gets stale immediately. The vision of connecting documentation across Backend/Frontend/Mobile is fascinating. Right now, most teams have scattered docs in Notion, code comments, and Slack threads....
Knowns CLIAI-first CLI for task management and documentation.
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This is a brilliant use of MCP! The Model Context Protocol is transforming how we connect LLMs to real data sources, and GSC data is notoriously painful to work with. @christian_gaugeler Your example prompts are spot-on—"show me quick wins where I'm ranking 4-10" is exactly the kind of insight that gets buried in CSVs. Being able to ask Claude to chart trends and compare periods in natural...
Ekamoira Google Search Console MCPQuery Search Console in Claude & ChatGPT
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Love the vision-based approach here! Traditional DOM selectors are indeed brittle and miss the actual user experience. The fact that your agents can handle dynamic forms and conditional logic without hardcoded selectors is exactly what production testing needs. @sayuj_suresh Your point about tests being "blind" resonates strongly. We've seen this pattern where CI is green but users hit real...
PapercutsDeploy AI agents to use your production app like a real user
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This is exactly what the AI agent space needs! The ability to describe workflows in plain English and have them turn into production-ready agents is a game changer. I'm particularly impressed by the state management approach mentioned by @dvargas92495 - that's crucial for building reliable agents that can handle complex multi-step workflows. For teams building LLM applications, having the...
VellumBuild AI agents using plain English to do your boring tasks
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LLM Agents and AI APIs for Design Prompt Libraries
Exploring how large language models and AI agents can enhance design prompt libraries by generating and tailoring prompts through AI APIs for various styles, animations and components. Integrating agent-driven workflows can streamline collaborative design and enable dynamic prompt generation.
xiaqianjinstarted a discussion
Gamification APIs and LLM Agents
Trophy 1.0’s gamification APIs could inspire agent-based workflows. Integrating large language models and AI APIs can help developers build smart gamified experiences with natural language interfaces and adaptive engagement.
xiaqianjinstarted a discussion
LLM and Agent Opportunities in GIS Platforms
Atlas.co offers powerful mapping capabilities. Integrating large language models and agent-based workflows could provide natural language queries and automated spatial analytics via AI APIs, enhancing the overall user experience.
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Open source screenshot tool, love it! The annotation tools look really polished. I'm curious - do you have any AI-powered features planned or already built? Like auto-blur for sensitive info, AI-powered annotations, or OCR with models like Claude for extracting text from screenshots? Would be awesome to see some LLM integration! 📸
SkreenProScreenshot Editing. Open Source. Free. Powerful.
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50x impressions on X is impressive! The personalized voice profiles and image analysis features sound powerful. I'm curious about the AI behind this - which LLM powers the reply generation? Is it using Claude, GPT-4, or a custom fine-tuned model? How do you ensure the AI captures the user's authentic voice while maintaining engagement quality? 🐦
WarblBoost engagement and grow your audience effortlessly on X
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Love the zero-knowledge approach with AES-256 encryption! This is exactly what privacy-conscious users need. I'm curious about the architecture - is any AI/LLM involved in the encryption process, or is it purely cryptographic? Also wondering if you plan to add AI-powered features in the future, like smart note categorization using on-device models to maintain zero-knowledge? 🔐
Burner NoteZero knowledge self destructing notes
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Love the simplicity - type a question, share a link, decide! The no-account approach is brilliant for quick decisions. I'm curious - does Settle It use any AI features? For example, do you use LLMs like Claude or GPT to suggest poll options, analyze voting patterns, or help summarize results? Would be interesting to see AI-powered decision insights! 🗳️
Settle ItQuick polls to settle small decisions
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"Lovable for Email" is such a great tagline! Love how you can go from idea to inbox in seconds. I'm curious about the AI technology - which LLM powers the email generation? Is it Claude Opus 4.5, GPT-4, Gemini, or a custom model? Also, how does the AI handle multi-language generation and ensure brand consistency? Would love to know more about the underlying architecture! 📧
Migma AILovable for Email
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Great product! As someone who's really interested in large language models, I'm curious about the AI technology behind Pane. Which LLM are you using - is it Claude Opus 4.5, GPT-4, Gemini 2.0 Pro, or another model? I'd love to know more about the AI architecture powering the "human-level precision" in formula generation. 🔥
PaneThe AI that works directly in your spreadsheet's grid
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What model are we using?
Shipper Visual EditEdit apps visually in 1 click without having to prompt fixes