Peter Newton

Peter Newton

building event data infrastructure
#219021113 followers2 following
#26,120Last year
14 KP
>10,000All time
450 KP

About

I’m the founder of Momentra, where I’m building community event data infrastructure. Momentra is an event aggregator, event database, and events API built around a harder problem than scraping: determining which public event information is believable enough to use. It finds events across fragmented sources, resolves organizations and event identity, reconciles conflicting information, tracks provenance and changes, and delivers structured records into community calendars, guides, apps, and AI agents. Before Momentra, I spent more than a decade building software across interactive systems and cloud infrastructure. I’m an AWS Certified Solutions Architect.

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Maker History

  • Momentra
    MomentraEvent data infrastructure for community calendars
    Oct 2026
  • Apify
    ApifyThe largest marketplace of tools for AI.
    Jan 2026
  • Glossi
    GlossiRender pro quality stills and videos in real-time
    Sep 2024
    • 🎉
    Joined Product HuntNovember 8th, 2019

Forums

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14d ago

Momentra - Event data infrastructure for community calendars

Momentra is community event data infrastructure for products that need fresh public events. It finds events across trusted organizations, resolves identities, reconciles conflicting details, tracks changes and provenance, and maintains a structured event database accessible through an events API. Instead of treating event aggregation as a one-time scraping job, Momentra keeps the underlying information current as it changes.
Apifyp/apify•

9mo ago

Why do general-purpose extraction tools keep falling short for event data?

I ve been looking closely at tools like PulpMiner, Firecrawl, and even throwing Gemini directly at the problem and honestly, they re all interesting in their own way.

But when it comes to event data specifically, I keep seeing the same issues pop up:

  • A lot of repeated effort across domains that almost behave the same

  • LLM-driven approaches that are expensive, inconsistent, or need babysitting

  • Tools that solve extraction but not discovery (or vice versa)

  • Time spent cleaning up results instead of using them

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9mo ago

Website → Events - Turn any website into clean, reliable event data ⚡📅

Event data lives everywhere — different CMSs, custom sites, page layouts, and calendars — and collecting it manually (or with brittle agents) is expensive and error-prone. Website → Events removes that burden. Drop in a domain, get structured, owner-published events you can actually trust. Teams use it to keep event directories fresh, power research, and maintain reliable event feeds — without burning hours or budget on repetitive work. Less busywork. Fewer errors. More confidence. ✅
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