Peter Nemec
Peter Nemec is an independent product leader and founder building AI and data products. His current flagship project, NewsBeat, is an open-source, source-linked news layer for AI agents that provides current equity and crypto news through MCP and REST, with change tracking and compact answers.
At a Glance
- AI-agent developers and integrators
- Traders and financial-research users
- Prediction-market researchers
- Crypto researchers
- +3 more
AI Tools by Peter Nemec
(1)
NewsBeat
Financial News API for AI Agents
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Latest News
NewsBeat fixed 17 remaining hard-coded white-text rules as part of its light-theme work.
NewsBeat launched a light theme with a switcher and corrected theme-related UI defects across the site.
NewsBeat grouped feed coverage with linked reports and conservative matching.
The web app deployment workflow was updated to deploy when the API workspace changes.
Products & Services
Open-source real-time news graph and agent news layer. It tracks 2,030 equities and crypto assets, ingests coverage on a 15-minute schedule, and exposes source-linked headlines, change cursors, briefs, story clustering and batched watch checks through MCP and REST.
Evidence-first security review tool for AI-agent repositories. A user supplies a public GitHub repository; Tailor Layer traces inherited instructions and authority, links findings to exact source lines, recommends fixes and prepares a least-privilege launch plan.
AI application that turns a person's experience into job applications, then tailors, scores and humanizes those applications against particular job descriptions.
Personal weekend project: a conversational CRM designed to turn cold prospecting into sales conversations by helping find, filter and engage leads.
Market Position
Nemec positions NewsBeat as an open-source, agent-native news layer rather than a conventional consumer news feed or a full article database: it emphasizes compact source-linked headlines, deterministic change tracking, MCP/REST access and a clear 'nothing changed' response. Its differentiation is the stable beat/cursor workflow and direct fit with agent tool-calling. Tailor Layer similarly focuses on evidence-first, static security review for agent repositories rather than claiming to be a runtime security guarantee.
Leadership
Founders
Peter Nemec
Founder of NewsBeat and an AI/B2B SaaS product leader. He was Chief Product Officer at NewsAPI.ai / Event Registry from 2018 to 2025, progressing from Business Development into product leadership and helping grow ARR from $50K to more than $1M while the platform processed over one million articles per day. He also consulted on Bloomberg Media's AIQ analytics platform, worked as an AI research consultant at the Jožef Stefan Institute, and co-founded and led climate-tech venture Carbondrop.
Executive Team
Peter Nemec
Founder; product leader
Owns NewsBeat end to end, including the news-graph model, ingestion, agent API and discovery experience. Previously CPO at NewsAPI.ai / Event Registry, product consultant for Bloomberg Media AIQ, AI research consultant at the Jožef Stefan Institute, and co-founder/CEO of Carbondrop.
Founding Story
Nemec describes NewsBeat as a real-time news graph built to give AI agents a stable beat to follow. The initial vision was to let an agent describe a research task and receive a consistent, source-linked stream of recent news, rather than forcing users to manage feeds or repeatedly search manually; the product is aimed at trading research, prediction-market analysis, personal assistants, and monitoring workflows.
Business Model
Revenue Model
NewsBeat uses a usage-based prepaid-access model for future paid access. Anonymous public reads are free during early access; optional API keys receive a separate metered path with trial credit and a higher rate limit. Stripe checkout was not live on the pricing page when researched.
Pricing Tiers
Free public reads during early access; no API key or credit card required; published anonymous limit is 120 requests per minute.
Optional GitHub-issued keys are metered against $5 of trial credit and have a published limit of 1,200 requests per minute; the $5 is trial credit, not a paid plan.
Planned prepaid access at $0.20 per day for up to 50 tickers on the 15-minute refresh schedule.
Planned prepaid access at the same $0.20 daily rate.
Planned prepaid access at the same $0.20 daily rate.
Target Markets
- AI-agent developers and integrators
- Traders and financial-research users
- Prediction-market researchers
- Crypto researchers
- Media and enterprise intelligence teams
- Startups and SMEs needing applied AI product work
- Trading and equity research agents
- Prediction-market research
- Crypto monitoring
- Personal news briefings and assistants
- Watchlist bots and scheduled monitoring workflows
- Media and enterprise intelligence teams