Browser storage is unavailable. Keep this page open and export your collection before leaving.
NewsCatcher turns global news and web coverage into structured, ready-to-use data. We index 140,000+ sources in 50+ languages, so teams can monitor any company, market, topic or real-world event continuously, and act on it before it reaches them elsewhere. Two ways in, on one key. The News API returns ranked articles in any language, grouped int
NewsCatcher turns global news and web coverage into structured, ready-to-use data. We index 140,000+ sources in 50+ languages, so teams can monitor any company, market, topic or real-world event continuously, and act on it before it reaches them elsewhere.
Two ways in, on one key. The News API returns ranked articles in any language, grouped into stories so repeated coverage of one event arrives as one event, plus boolean search across the last 12 months when you need every match rather than the best ones. The Agent handles the questions no single page answers like every funding round, regulatory action, product launch or cybersecurity incident in a window, or the news about every company on a list. It retrieves a large candidate set from the web, validates which pages actually match, and returns a table with a source on every row.
Artem Bugara is the co-founder, CEO of NewsCatcher. Artem works with data and risk teams to help them integrate actionable signals from online news. Previously he ran a team of data engineers for one of the largest underwriting companies within the aviation, energy, and space insurance sectors. He earned a degree in Econometrics from Toulouse School of Economics.
Maksym Sugonyaka is the co-founder and CTO of NewsCatcher. After one year of a stable job, Maksym understood that the only place where he could realize his potential was entrepreneurship. Now in NewsCatcher, Maksym is the one to take key strategic and technical decisions in order to make the best News API on the market. He has a Master's Degree in Data Science and Finance from Paris Sorbonne. But then, he became a self-taught Data Engineer.
Founded 2021 · Source
Me (Artem) and Maksym, childhood pals since school days and university companions, teamed up to launch NewsCatcher in February 2020. Both Data Engineers with a knack for problem-solving, we were fed up with the status quo but passionate about data, laying the groundwork for our startup. Embracing the ethos of rapid iteration, we wasted no time, kicking off our journey by creating a Telegram chat dubbed "First million".Following Y Combinator's mantra of swift action, we rolled out our beta in April 2020, fuelled by AWS credits from YC Startup School. Our early strides were apparent when a Python package we crafted gained traction on Reddit, attracting a flurry of sign-ups. By June 2020, we debuted our V1 product on RapidAPI, landing our first paying customer—a serendipitous encounter with a US student bound for YC W24 batch. Our trajectory continued with applications to accelerators like TinySeed and YC, ultimately opting for TinySeed's rapid application process, albeit declining YC's offer later on. With strategic hires and laser-focused growth, we had a revenue surge from $3,000 to $25,000 MRR within a year. We circled back to YC, securing entry in May 2022 with $300,000 ARR. Despite hurdles, like my temporary detour to aid the Armed Forces of Ukraine, we thrived, clinching enterprise contracts and elevating ARR to $450,000 by Demo Day. Post-YC, while grappling with revenue challenges hindering our progress, we gleaned valuable insights into customer alignment, reaffirming our dedication to efficient growth and customer-centricity.
Source-based assessment · automated evidence rules
The company website explicitly reports customer or user adoption. This is a source-based assessment of a company claim; scale and revenue are not independently verified.
Company website: home Checked 2026-09-23
Used by teams who can’t afford to guess
Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.
Investigate ranking problems, develop signals, and compare reproducible experiments with your team and coding agents.
Customers · Founders · Pricing · Product
Same product type · API platform · Developers
Context.dev is the web scraping API for AI agents: scrape any URL into LLM-ready Markdown, search the live web, crawl entire sites, and extract structured data with one REST API.
Founders · Pricing · Product · How it works
Same product type · API platform · Developers
Parse, extract, and split your hardest documents with unmatched accuracy. Read any layout with specialized vision models, and ship reliable pipelines in minutes, not months.
Founders · How it works
Same product type · API platform · Developers
The stock market API built for AI agents. Real-time and historical financial data, SEC filings, and financial statements for 27,530 tickers over 30+ years, all through one REST API.
Founders · Pricing · Product
Same product type · API platform · Developers
One API and MCP to connect agents to the physical world with accurate data enrichment, signals and tools.
Founders · Pricing · Product
Same product type · API platform · Developers
Pulse converts complex information into LLM-ready inputs. Our API supports all document formats, from PDFs to Word, Excel, etc. Pulse integrates seamlessly with any existing data pipeline in minutes without any training or complexity.
Product
Same product type · API platform · Developers
