Spyper.ai

AI-powered investment research platform with quant techniques and macro data. Gorilla Terminal is an AI-first investment research platform that provides powerful quant techniques, macro data, and tools to manage risk, all in one place. It aims to make investment research 10x faster by using AI-driven insights and tools. The platform offers features like earnings call analysis with AI, macroeconomic data access, and an intuitive dashboard with stock information, SEC filings, and sentiment analysis.

AI-powered platform for quick stock insights and investment analysis. Curlent is an AI-powered platform designed to provide investors with stock insights in minutes. It helps busy individuals who lack the time for in-depth company research by offering stock research and stock selection tools. Curlent empowers investors to meet their investment goals using real-time data analytics and an AI assistant.

AI-powered platform for document analysis, insight extraction, and collaboration. DocumentLLM is an AI-powered document analysis platform that transforms document analysis with AI. It allows users to upload, analyze, and interact with documents using advanced AI technology to extract insights, create visualizations, and collaborate seamlessly.

AI-powered platform for startups to validate business ideas with market insights. IdeaLensAI is a platform designed for startups and entrepreneurs to validate business ideas using AI-driven market insights, competitor analysis, and financial projections. It offers affordable and efficient tools for smarter decision-making, providing AI-powered market research to help users quickly gauge market size, identify emerging opportunities, and assess competitor moves. The platform also facilitates rapid idea validation, allowing users to test and refine their concepts in minutes.

Score any startup idea on a 0-100 Launch Readiness Score across 6 live market signals — sourced data, daily refresh, no LLM hallucinations. Fluenta is the multi-signal startup-idea validator built for solo founders, indie hackers, and PLG SaaS makers who refuse to build dead ideas. While ChatGPT and Claude pull from press releases that lag the real market by 18+ months, Fluenta scans 200+ live sources every day across six quantified market signals: • Search demand — DataForSEO + Google Trends • Social pain — Reddit, X, Quora pain-thread detection • Competition density — G2, Capterra, ProductHunt, AlternativeTo • Money signal — AppSumo, Upwork, Acquire, paid-search activity • Funding momentum — Crunchbase VC deal flow • Urgency triggers — hiring patterns, regulatory shifts, technology disruptions Every idea gets a 0-100 Launch Readiness Score (LRS), updated daily with sourced numbers. No "AI says it's promising" theater — you see the underlying data, the source for each signal, and which dimensions kill or carry the idea. Browse 1000+ pre-scored ideas in the catalog (free, with email signup). Or X-Ray your own idea: Fluenta runs it through 200+ data sources (Forbes, McKinsey, YC, a16z, GitHub,..) and returns a complete LRS report in ~15 minutes. Built by a 4-person core team led by Oleg Ivanov — 20 years shipping ventures across FMCG, fintech, and Web3 (3 sold, dozens killed). Synthesis runs across OpenAI, Anthropic, Perplexity, and Gemini — different models for different signal types. No outside investment, no exit clock.

Open-source tool for data and AI practitioners to improve data quality for LLMs. Lilac is an open-source tool that enables data and AI practitioners to improve their products by improving their data. It allows users to search, quantify, and edit data for LLMs. Lilac provides features like semantic and keyword search, editing and comparing fields, PII detection, duplicate identification, language detection, custom signal integration, and fuzzy-concept search with refinement.