Education2 days ago
Curo
Curo - Your AI-powered Learning Companion
@_srvsi_ · X
Make internet's fragmented and unstructured knowledge/content into personalised learning experience.
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Curo - Your AI-powered Learning Companion
@_srvsi_ · X
Make internet's fragmented and unstructured knowledge/content into personalised learning experience.
AI scans competitors and market data to validate if a startup idea is worth building in 90 seconds.
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.
AI agents that automate time-consuming tasks, including portrait generation.
@pavithra2870 · X
Building - less prompting, more work getting done. Lets connect 🚀 (do try out portraits category agents if you are at it )
Autonomously design, build, and deploy software systems.
@Bim_evaporates · X
Check out DMs open
Chat with an AI that explains its confidence in every answer with full reasoning.
u/RayanBuilds · Reddit
I’m 18 and built an AI chat app solo. Tear it apart (brutal feedback welcome) Built this solo this year at 18. It’s called Veris, an AI chat + writing assistant. I know, “another chatbot” 😭. So I gave it stuff the big ones don’t. Favorite feature: upload an image and pick a mode: Normal (it analyzes it) or Debate (it actually argues with you about it). Not selling anything. I just want to know: what would an AI have to do for you to use it daily? submitted by
AI-assisted auction platform where you search by text, voice, or image, bid in real time, and list items instantly.
@magazine_active · X
Check out what I just built with Lovable!
Backtest investment strategies, track portfolios, and analyze markets with AI assistance.
策引 — 全球市场技术分析工具，可以创建多个市场的模拟组合并做深度回测分析。同时正在开发 AI Agent 功能，可帮助用户使用大模型自动生成基于不同交易策略的模拟组合。
Give AI agents a structured way to request human approval with safe retries and verification.
@GetAgentHail · X
AgentHail — a control layer for AI agents to request approval, execute work, and return verifiable results. Would you sign up or leave?
A visualization language designed for AI agents to create and interact with charts.
chenglong-hn · HN
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple
AI that reasons through problems, builds games and websites on canvas, and tutors K-12 students with step-by-step guidance.
@OBSIDYNAI · X
Check out what I just built with Lovable!
Analyze legal documents with AI to identify risks and get actionable insights.
@ShivamT_Pro · X
Analyze NFL games with devigged odds, line movements, and ten years of backtested market intelligence.
u/sebriz · Reddit
I built an institutional NFL data terminal that audits 44 situational factors against 10 years of market data [Open Beta] Hey everyone, I wanted to share a side project I’ve been building called SeeBet.ai . As someone who loves sports data, I got tired of generic broadcast hype, sports betting "gurus," and subjective narratives about things like "revenge games," travel fatigue, or short rest. I wanted an institutional, zero-hype terminal that simply audits physical reality against market