Suprmind

Suprmind is a cutting-edge multi-AI decision intelligence chat platform designed for professionals who demand accuracy and cannot afford AI errors. It orchestrates five frontier AI models—GPT, Claude, Gemini, Grok, and Perplexity—within a single conversation, enabling them to debate, challenge, and verify each other's insights. This innovative approach ensures errors and blind spots are caught before impacting critical decisions, making it an indispensable tool for high-stakes professional use. Key Features Orchestrates five leading AI models (GPT, Claude, Gemini, Grok, Perplexity) in a unified conversation. Offers diverse orchestration modes including Sequential, Super Mind, Debate, Red Team, Research Symphony, and First Principles for tailored analysis. Features real-time disagreement tracking, hallucination surfacing, and error correction by peer AI models. Includes a Master Document Generator with 25+ professional templates for exporting conversation outcomes as Markdown, PDF, or DOCX. Leverages Context Fabric, Knowledge Graph, and Prompt Adjutant to maintain deep context and project intelligence. Publishes original production research and live benchmarks on AI hallucination rates and model divergence. Use Cases Suprmind significantly enhances decision-making across various professional domains. For legal and investment analysis, it allows users to pressure-test contract clauses, evaluate investment theses, and conduct M&A pre-mortems, ensuring robust and defensible recommendations. Its ability to surface disagreements and verify facts in real-time is crucial for mitigating risks and making informed financial decisions. In market research and strategy planning, Suprmind facilitates comprehensive competitor analysis, new market exploration, and strategic validation. Professionals can run pricing experiments through Debate mode or attack business plans from multiple angles using Red Team mode, leading to more resilient strategies. Furthermore, it streamlines the creation of detailed research reports and strategy briefs, saving hours of manual verification and synthesis. Pricing Information Suprmind offers a tiered pricing structure: Spark at $19/month, Pro at $45/month, and Frontier at $95/month, with custom enterprise solutions available. A 7-day free trial is provided, requiring no credit card, allowing users to experience the platform's capabilities before committing to a subscription. User Experience and Support The platform is designed for intuitive use, transforming complex multi-AI interactions into a seamless "one conversation, five perspectives, one verdict" workflow. Users can easily switch between orchestration modes mid-conversation without losing context. Support resources include comprehensive Help Documentation, a Demo Playground, an Insights & Blog section, and an FAQ, ensuring users can maximize their productivity and leverage the platform effectively. Technical Details Suprmind's architecture is built around advanced components like Context Fabric, which ensures all AI models access full conversation history and uploaded files, and a Knowledge Graph that structures project files for consistent evidence-based analysis. The Prompt Adjutant acts as an intelligent project assistant, while the Scribe Living Document and Master Document Generator facilitate real-time capture and professional output of insights, orchestrating leading AI models for superior decision intelligence. Pros Significantly reduces the risk of AI hallucinations and factual errors. Consolidates multiple premium AI subscriptions into a single, cost-effective platform. Automates the generation of professional documents and reports from AI conversations. Offers unique orchestration modes for diverse analytical and strategic needs. Maintains deep context across AI interactions, preventing information loss. Provides transparent, data-driven insights through its original research and benchmarks. Cons May have a learning curve for users unfamiliar with multi-AI orchestration modes. No explicit mention of API access for custom integrations. Relies on the user's ability to interpret and leverage AI disagreements effectively. While cost-effective compared to multiple subscriptions, it is a paid service. Conclusion Suprmind stands as a powerful decision intelligence platform, transforming how professionals interact with AI by fostering critical debate and verification among leading models. It delivers pressure-tested, breakthrough answers, significantly reducing risk and enhancing the quality of high-stakes decisions. Start your 7-day free trial today to unlock a new era of confident, AI-powered decision-making.

LodeLeads

We were running B2B outbound on Apollo and trying to headhunt TikTok/Instagram creators by hand. Both halves were broken — for completely different reasons.LodeLeads is an 11-platform lead and creator discovery engine. AI scores every result against your ICP — sales-ready leads, not CSV dumps.The story: At my company, we shipped two solutions serving B2B and B2C. On the B2B side, Apollo handled the basics — at $1,190/year, with half the international data missing. We lived with it.The OTHER side broke us. We needed to headhunt TikTok and Instagram UGC creators for promo campaigns on our own products. Apollo doesn't index creators (we knew that). So we did it manually — hours per creator across hashtags, follower counts, engagement quality, niche fit. Painful.Then we outsourced to a creator-sourcing agency. Lists came back generic — wrong niche, follower counts off, zero ICP match. The "creators" they sent over wouldn't have moved the needle on a single promo. We were paying for headcount, not quality.So we built our own. A scrape + AI scoring system that searches multiple platforms against the criteria WE set — not what an agency thought was good enough. The team's been using it daily for months — both motions, one tool. Now it's open.What's in the box:11 platforms: LinkedIn (B2B + Profiles + Jobs), Google Maps, TikTok, Instagram, Facebook, Twitter/X, Reddit, YouTube100-point dual scoring on every lead:Deterministic (0–70): title seniority (CHRO/VP/Director), company headcount fit, geography match, active hiring signals, follower-to-engagement ratio, posting cadenceLLM qualification (0–30): industry fit + growth signalsAI-written outreach angle on every exported leadNative MCP — run campaigns from Claude or ChatGPTSigned webhooks fire to your CRM the moment a lead crosses 80 (configurable score)Google Sheets sync, Excel + CSV exportPricing — no platform fee, no minimums, credits never expire:100 credits = $10LinkedIn Profile: 0.40 credits / $0.04TikTok creator: 0.50 credits / $0.05Google Maps place: 0.30 credits / $0.03Team seats: $15/month each or $5/month if running soloHonest about where we are: some features are battle-tested from months of internal use. Others are still being generalized for broader use cases. We ship what works and improve in the open.Try it: $10 buys 100 credits. Run one campaign that's been killing you.

Sori, Your first Korean teacher

Hi,Sori is your first Korean teacher.If you ever considered to take any korean classes, It's just for you !

Ledgekar

It rewards discipline. Track your money honestly and it sharpens fast, well past anything built for the mass market. If you have outgrown spreadsheets and beginner budgeting apps, you are who we made this for.

Cutline

Cutline by VibeKiln is a cutting-edge SaaS platform designed to optimize product discoverability and build trust in the AI era. It helps product teams, developers, and AI agents understand, trust, and safely use products by providing a comprehensive evidence trail from intent to implementation. Its primary purpose is to ensure that AI-built products are not only functional but also secure, reliable, and compliant, addressing the unique challenges of developing with AI. Targeted at developers, product managers, and organizations leveraging AI for product development, Cutline ensures that products are well-understood by both human users and AI systems, preventing common pitfalls like security vulnerabilities and architectural rework. Key Features AI Discoverability & Product UX: Ensures products can be found, understood, and cited by answer engines and AI systems, improving indexing and retrievability. Trust Pipeline for the AI Era: Verifies if a product can be found, believed, compared fairly against competitors, and safely used, creating citable proof surfaces. Engineering Risk Scan: Scans code for critical security, reliability, and scalability risks early in the development cycle, even for AI-generated changes. Agent-Ready Constraints: Translates product intent into structured, actionable constraints that can be directly fed to MCP-compatible coding agents and IDEs. Governance Trust & Compliance: Automatically detects tech stacks (e.g., Stripe, FHIR, OpenAI) to inject framework-specific compliance constraints (SOC 2, PCI-DSS, HIPAA, OWASP LLM Top 10) into the agent's context. Trusted Intent & Changes: Acts as an "Intent-to-Constraint Engine" and "Dependency Logic Guardrail" to ensure agents build the right thing and respect existing architectural decisions. Use Cases Cutline addresses critical pain points in modern software development, especially with the rise of AI-powered coding. For instance, it prevents scenarios where AI agents blindly accept prompts without considering security or scalability, saving teams from costly architectural rework and late-stage bug discovery. Developers tired of "ChatGPT saying 'You're Absolutely Right!!!' to everything" will find Cutline invaluable for injecting real-world constraints and guardrails into their AI's context. It also helps product teams avoid building features that lack market validation or clear technical requirements, as highlighted by satirical quotes like "Cutline told me NOT to build 47 of my features. Ignored them all. My app has 3 users now (all bots)." By validating intent and surfacing assumptions early, Cutline ensures that development efforts are aligned with actual product needs and technical feasibility. Furthermore, it ensures that products are not just functional but also compliant with industry standards and regulations, automatically loading relevant governance constraints based on the project's tech stack. Pricing Information Cutline operates on a freemium model. Users can access a free preliminary score for product discoverability and run free security vibe checks on their code. A paid audit provides detailed explanations, competitive analysis, and specific recommendations. Premium features include a product-specific constraint graph, RGR remediation plans, pre-mortem analysis, and persona feedback. User Experience and Support Cutline is designed for developers, integrating directly into AI coding tools and IDEs like Cursor, Claude Code, and Windsurf via the Model Context Protocol (MCP). Installation is straightforward using npm, and free security vibe checks require no account. The platform focuses on providing structured context and guardrails to agents, making the development process more robust. While the content implies a developer-centric interface, the emphasis is on seamless integration into existing workflows rather than a separate complex UI. Technical Details Cutline leverages the Model Context Protocol (MCP) to inject source-backed security, scalability, and reliability constraints directly into coding agents' context windows. It uses npm for installation and integrates with various AI code editors and no-code app builders. The system intelligently detects tech stacks (e.g., Stripe, FHIR, OpenAI) to dynamically load relevant compliance frameworks like PCI-DSS, HIPAA, and OWASP LLM Top 10, ensuring context-aware governance. Pros and Cons Pros: Enhances AI discoverability and product trust for the AI era. Proactively identifies security, reliability, and scalability risks. Provides concrete, agent-ready implementation constraints. Automates compliance and governance based on tech stack. Shifts left critical quality and security checks into the build process. Prevents architectural rework and building misaligned features. Cons: Currently in early access, implying potential for evolving features. Primarily targets developers and AI-driven development, potentially a learning curve for others. Requires integration with MCP-compatible coding agents and IDEs. The full value is unlocked with premium features and deeper integration. Conclusion Cutline by VibeKiln offers a robust "Confidence Infrastructure for AI-Built Products," ensuring that products are not only technically sound but also trustworthy and compliant from conception to deployment. By bridging the gap between product intent, engineering rigor, and AI agent execution, it creates a consistent and reliable product story for humans, answer engines, and coding agents alike. Explore Cutline today to validate your product ideas, scan your code for risks, and harden your AI development context.