ParseBird
ParseBird handles the context layer of your AI stack
What it does
ParseBird has grown a lot since our first launch. What started as a handful of tools is now a full suite built to be the context layer for your AI and automation stack. Most automation breaks at the data collection step. Stale or messy inputs wreck everything downstream. ParseBird handles that part so your pipeline gets fresh, structured data every time. What's new: expanded coverage, consistent output schemas, plugs into any stack via API, webhooks, or direct integrations.
A collection of focused Apify actors that handle the data layer so you can focus on building. We fetch the data. You build the thing.
Download Kick.com videos, VODs, and clips in up to 1080p60 quality. Save Kick stream recordings, highlights, and clips to Apify storage. No proxy needed. Export download links via API. Supports batch downloads. Scrape Y Combinator startup job listings with salary, equity, visa sponsorship, founder data, and full descriptions. Filter by role and location. Job-centric output ready for recruiting, salary benchmarking, and startup research. Scrape remote job listings from We Work Remotely, the world's largest remote job board. Filter by category, country, salary range, engagement type, and skills. Extract job details, company info, descriptions, and apply links. Send HTTP requests (GET, POST,…from parsebird.com
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I’m Michel, co-founder and CEO of Airbyte (https://airbyte.com/). We’ve spent the last six years building data connectors. Today we're launching Airbyte Agents (https://docs.airbyte.com/ai-agents/), a unified data layer for agents to discover information and take action across operational systems. Here’s a quick walkthrough: https://www.youtube.com/watch?v=ZosDytyf1fg As agents move into real workflows, they need access to more tools (e.g. Slack, Salesforce, Linear). That means a ton of API plumbing: authentication, pagination, filters,…
Parsewise APIMay 2026 · parsewise.ai · ▲134Hi HN! We're X25 alumni and built Parsewise to analyze large document sets with AI agents. Instead of prompting a single PDF, our agents extract, cross-reference, and reason across thousands of documents in one run. We originally built this for insurance and financial diligence workflows where teams review huge document packs. Curious what the HN community thinks! Check out our public demos: demo.parsewise.ai/insurance-claims-triage demo.parsewise.ai/reinsurance-recovery-optimization demo.parsewise.ai/investment-diligence demo.parsewise.ai/mortgage-underwriting
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