Gilbert Bagaoisan @gbertb
Working on the fastest web crawler for AI agents, n8n, Clay, Make, and AI Automation : https://t.co/xTVOfuBOV4 - @spider_rust • Interpunct Labs spider.cloud Bay Area, CA Joined March 2007-
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@geerlingguy x should really ban these types of posts. crypto looking username + no real face + bold local ai claims + stealing someone’s video to support said claims.
@brezscales claude + spider (spider.cloud) 😀
@israfill use spider.cloud - js scraping + great pricing vs others. @spider_rust
congrats!
@MitchellKeller_ been liking a simple sqlite db to hold state and various data for some agent workflows im running.
@fulldividends @toeknee_kim would love to know as well!
Beautiful
70k words, 600+ illustrations, and 1000s of hours (so far). Making Software is now available in early access. makingsoftware.com/early-access
@gaganghotra_ give spider.cloud a try. faster, and better pricing.
Building a scraping stack from scratch. Here's what we actually use across hundreds of outbound campaigns: Instantly Data Scraper — directories. When you need to pull from G2, Capterra, industry lists. Fast. No code. Playwright + Claude Code — custom sites. Anything with a weird structure or login wall. Claude writes the scraper. You run it. Firecrawl — full site crawls. When you need everything on a domain. Pricing pages, case studies, team pages. 10 minutes, not 10 hours. Jina / Spider.cloud — scale. 10K+ pages. LLM-ready output. This is where most teams underinvest. Browserbase — agentic browsing. For flows a static scraper can't handle. Session persistence. Works where everything else breaks. BrightData — bot-protected sites. Yes it costs more. Yes it's worth it. LinkedIn. Amazon. Anything that actively fights you. Finding the directories is one thing, understanding the use case and framing is another thing. A company listed on a niche directory already told you something. They chose to be found. They're actively positioning in that category. They want buyers to discover them. That's not a cold lead anymore. Apollo gives you a list of people who fit a description. Directories give you a list of people who took action. Those are not the same signal. Most funded teams spend 3 weeks debating which database to use. Then overpay for ZoomInfo since that’s what they did at their last company. The teams booking meetings on day one? They scraped intent from niche directories before anyone else thought to. A client recently funded their Series A. Board wanted a consistent pipeline in 90 days. We skipped the generic Apollo list. Scraped 5,600 schools from vertical-specific directories. Matched them against relevant signals. Sent 7,000 emails. Booked 55 meetings in 31 days. Same offer. Same copy. Different list quality. The scraping stack matters. But knowing where to point it matters more. Directories are intent. Treat them that way.
@Teknium polymarket skill is a research skill lol people dont realize that polymarket has some interesting data on outcomes
@kevinrose @sama @digg pretty cool, excited to see this
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