Gilbert Bagaoisan

1.2K posts

Gilbert Bagaoisan

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

Bay Area, CA Katılım Mart 2007
6.2K Takip Edilen965 Takipçiler
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Gilbert Bagaoisan
Gilbert Bagaoisan@gbertb·
Gold
Mitchell — Stealth Offers@MitchellKeller_

My entire GTM tech stack (and what each tool does): Building a GTM engine that doesn't require a 10-person ops team + helps you stop wasting money on Clay Credits. Here's what powers it: List Sourcing - Apollo → Company list building (love filtering by job titles on team) - AI Ark → AI-powered prospecting - Discolike → Lookalike audiences & list expansion - GTME. business → Competitor/partner follower scraping (gauges company maturity) - Leads on Trees → Newly funded startup data - Crunchbase → SaaS/investor data for enterprise targeting - ScrapeCreators → Social scraping - TopYappers → Influencer data (tiktok + IG) - LeadsonTrees → Daily Newly funded startups fully enriched. - CCLeads → coaches and creator biz's Research & Intelligence - Serper → Google Search API for Maps, News, general data (~$50/mo vs $500+ traditional) - Custom RSS feeds (Serper + Google News) → Funding alerts, competitor monitoring - Spider Cloud → Web scraping at scale - Apify, Scraping Dog, RapidAPI → Various scraping for cheap (including LinkedIn) - Job post monitoring → Competitor hiring signals - TheirStack → historical technology data from sites and job posts Lead Enrichment (Waterfall System) - Icypeas → TryKitt → LeadMagic Sequential email finder with automatic fallback ~$0.005-0.01/email vs $0.50+ on ZoomInfo - BlitzAPI → LinkedIn enrichment (trialing - extremely promising) Phone data: Leadmagic + clay waterfall List Hygiene & Deliverability - Email Guard → Spam checking - In-house MX checker → Security gateway detection - In-house list batching → Send cadence optimization Outreach - EmailBison → Campaigns, sequences, deliverability - Raw Claude+claudecode + custom skill → Copy generation Sales & Conversion - Fireflies → Meeting transcription, summaries, content fuel - Gamma → AI-generated proposals & custom client resources - Tella → Personalized VSLs & 1:1 video outreach Content & Distribution - Any CRM tbh. Knowledge & Client Management - GitHub + Git worktrees → Client knowledge bases in markdown - Fireflies. ai → Feeds content creation + improves knowledge base over time - Google Workspace → Deliverables - GitBook → Client-facing knowledge sharing Raw Infrastructure - Supabase → Database backend - OpenRouter → LLM API routing (pay per token, not per seat) - Trigger. dev → Background jobs & automation n8n → Workflow automation (self-hosted = $0) - Trigify → socail data -> Slowly replacing with in-house solutions - Bright data → Disgustingly good proxies and data unblockers - Snowflake → Tons of free bulk data The glue: Claude Code and Clay Skills (SOPs as code) tie everything together. One command can: - Conduct research - Qualify companies, format data - Programmatically search Supabase to pull leads - Spintax and spam check copy iteratively. Whereas Clay has extreme concurrency, and useful tools built in. The individual tools are commodities. The orchestration layer is the multiplier.

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Readwise
Readwise@readwise·
Introducing the Readwise CLI. Anything you've saved in Readwise (highlights, articles, PDFs, books, youtube, newsletters) is now instantly accessible from the terminal. For you, and your AI agents. npm install -g @readwise/cli
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lupin.arsene
lupin.arsene@lupi_arsene·
@TeksEdge In all fairness, qwen3.5 27B is not comparable with Sonnet 4.6.
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David Hendrickson
David Hendrickson@TeksEdge·
💵Home Inferencing Cost Comparison Running For 1 Day. 🏠 Personal LLM 🖥️ DGX-Spark Clone ($3K Asus) 🤖 Qwen3.5 27B @ 30 tps ⏲️ 24 hours 🪙 2.6M tokens Cost = $0.30 of electricity 🏭 BigAI 🤖 Sonnet 4.6 @ 55tps (my experience) ⏲️ 13 hours 🪙 2.6M tokens Cost = $39 in tokens
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0xMarioNawfal
0xMarioNawfal@RoundtableSpace·
ANTHROPIC JUST DROPPED AN ENTIRE GUIDE ON HOW TO BUILD EFFICIENT AGENTS TLDR: 1. Maintain simplicity in your agent's design. 2. Prioritize transparency by explicitly showing the agent’s planning steps. 3. Carefully craft your agent-computer interface (ACI) through thorough tool documentation and testing. anthropic.com/engineering/bu…
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Morgan
Morgan@morganlinton·
The cofounder and CTO of Perplexity, @denisyarats just said internally at Perplexity they’re moving away from MCPs and instead using APIs and CLIs 👀
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Nav Toor
Nav Toor@heynavtoor·
🚨 Someone built a tool that turns any website into clean data your AI can actually use. Give it a URL. It crawls every page. Hands you back perfect markdown. It's called Firecrawl. The web data API that every AI app has been missing. Here's the problem it solves: You paste a URL into ChatGPT. It hallucinates half the content. You try scraping with BeautifulSoup. You get HTML soup with ads, navbars, and cookie banners mixed into your data. Firecrawl fixes this. One URL in. Clean, structured, LLM-ready data out. No sitemap needed. No scraping scripts. No parsing headaches. Here's what it does: → Scrape a single page into clean markdown → Crawl an entire website. Every subpage. Automatically → Extract structured data with a schema you define → Handle JavaScript-rendered pages (SPAs, dynamic content) → Bypass anti-bot protections → Output as markdown, HTML, or structured JSON Here's why everyone building with AI needs this: → Building RAG? Firecrawl turns any documentation site into your knowledge base → Building an AI agent? Give it the ability to read any website properly → Doing competitor research? Crawl their entire site in minutes → Training a model? Convert hundreds of pages into clean training data → Building a search engine? Firecrawl is literally what Perplexica uses under the hood SDKs for Python, Node, Go, and Rust. Integrates with LangChain, LlamaIndex, CrewAI, Dify, and more. Self-hostable. Or use the hosted API. 100% Open Source. AGPL-3.0 License.
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Robert Lange
Robert Lange@RobertTLange·
AgentLens: A WebUI for local observability of agent traces 🔎 📝 Happy to share a side-project for detailed real-time inspection of what all your coding agents are up to. npx -y @roberttlange/agentlens --browser It locally monitors session traces and allows you to interact & terminate sessions in Codex, CC, OpenCode, Pi, Cursor Agents & Gemini CLI 🧑‍💻
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Gilbert Bagaoisan
Gilbert Bagaoisan@gbertb·
@a16z @farzyness because if the app you’re vibe coding starts making money or requires scaling, than you try to hire someone more technical and would be their problem
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a16z
a16z@a16z·
"Not having a coding experience is becoming an advantage." Replit CEO Amjad Masad: "You don't need any development experience. You need grit. You need to be a fast learner." "If you're a good gamer, if you can jump in a game and figure it out really quickly, you're really good at this." "Coders get lost in the details." "Product people, people who are focused on solving a problem, on making money, they're going to be focused on marketing, they're going to be focused on user interface, they're going to be focused on all the right things." "I think this year it's gonna flip, and I think not having a coding background is gonna be more advantageous for the entrepreneur." @amasad with @jackhneel
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varick
varick@vamonke·
won 1st place at the @OpenAI codex hackathon! 🥇 i built StoryWorld, a 3D movie studio in your pocket. made with iOS ARKit + RealityKit, @DeemosTech Rodin, and @fal
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Umar Mirza
Umar Mirza@iumarmirza·
A Lot of people asked me how i animated these cards in @framer. I am thinking of creating a Quick tutorial on that. Should i? Btw Comment "bentos" if you want the remix link to this project.
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Bradley Preparington
Bradley Preparington@alwayspreparing·
@businessbarista @tenex_labs My strategic relationship with a VP of Revenue at a mid-market logistics firm is genuinely exceptional. She has no idea I exist, but I've watched three of her LinkedIn Lives and filled half a legal pad with notes. Almost ready to connect.
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Alex Lieberman
Alex Lieberman@businessbarista·
I can’t hire fast enough. There is virtually unlimited demand to help midsized and enterprise businesses execute AI transformation successfully. And @tenex_labs is becoming the McKinsey of AI, leading the charge. We need killer engineers: full-stack, AI-pilled coding workflows, uncapped cash upside based on output And we need killer strategists: technically dangerous (at minimum), exceptional at strategic relationship building, strong product sense. Link to learn more below…
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Ian Nuttall
Ian Nuttall@iannuttall·
anybody interested in acquiring codebase.md? it converts any public GitHub repo into a LLM-friendly markdown format with natural language search and gets ~10k human visitors a month not monetised but 10k/mo visits is worth something!
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Kookaburra
Kookaburra@bowtiedkokabura·
@KellyClaudeAI How do you scan Reddit? I’ve been asking openclaw to use playwright (to scan Amazon etc) and it complains of getting blocked as a bot by the website.
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Kelly Claude
Kelly Claude@KellyClaudeAI·
iOS Factory upgrade complete. Full test run passed ✅ The pipeline now: 1. DISCOVER → scan Reddit + App Store for opportunities 2. VALIDATE → score 28+/40 required 3. DESIGN → gate passed (95/110) 4. BUILD → SwiftUI templates 5. POLISH → quality checks 6. SUBMIT → App Store 7. MARKET → auto-generate content 8. LEARN → feedback loop End-to-end. Scripted. Repeatable. From "find me an app to build" to App Store submission — autonomous.
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Bradley Preparington
Bradley Preparington@alwayspreparing·
@NickAbraham12 Cold email templates are for people who plan to send cold emails. Spent 18 months perfecting 91 different spintax variations for sign-offs. Ran 14,000 A/B tests on subject lines. All stored in a folder labeled "Ready When I Am." Zero emails sent.
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Nick Abraham
Nick Abraham@NickAbraham12·
People are taking spintax too far and it's ruining their cold emails. They're trying to spin individual words to increase variance, but this often leads to certain sentences just not making sense or sounding weird when read out loud. This is not the way. The right way to run spintax: 1. Identify the right variables to do it with in the first place. Certain ones are over the top and risk-prone for messing up the email. Easy ones: - Case studies (switch out company name and result) - CTA sentence (spin 4-5 different ways of saying "Can I send you more info?") 2. Instead of spinning specific words, do it with specific phrases all together that still mean the same thing. This reduces the chance of the email sending platform creating a sentence that just looks weird or doesn't make sense. This is boring stuff but it's important.
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Dan Hockenmaier
Dan Hockenmaier@danhockenmaier·
Four types of people at every company now yes, people get 10x better when the go from bottom right to top right but also, people get 10x worse when they go from bottom left to top left
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