New-age workflows and agents, built to 10x your team's output. Replace manual work with automations tailored to your specific taste and expertise — custom built to fit your org's exact needs.

  • Railway
  • Supabase
  • Trigger.dev
  • Langfuse
  • Claude
  • Apify
  • Railway
  • Supabase
  • Trigger.dev
  • Langfuse
  • Claude
  • Apify
  • Railway
  • Supabase
  • Trigger.dev
  • Langfuse
  • Claude
  • Apify
  • Railway
  • Supabase
  • Trigger.dev
  • Langfuse
  • Claude
  • Apify

What I build.

Automation systems that eliminate manual work — data pipelines, scoring engines, dashboards, and personalization at scale.

Context Engineering

Write, select, compress — a framework for designing how AI systems use context.

1
Write
Living markdown docs
2
Select
Pull relevant context
3
Compress
Structure for LLM
Reliable output
Consistent, production-grade

Agent SDK Migration

Evolved from one bloated API call to a multi-agent architecture.

orchestrator
routes tasks, merges findings
website-researcher
Crawls domain
Extracts signals
context-reader
Loads ICP defs
Curates context
merged context
Focused, relevant, structured

SEC Scraper

SEC-compliant scraper for Form D filings to find companies that just raised.

$ fetch-form-d --date 2026-02-26

Scanning SEC atom feed...

Found 47 new Form D filings

Extracting company data...

Done. 47 companies saved.

$ show-results --top 5

┌────────────────────┬──────────┬───────────┐

│ Company │ Amount │ Industry │

├────────────────────┼──────────┼───────────┤

│ NovaTech AI │ $4.2M │ SaaS │

│ CloudBase Inc │ $12.8M │ Infra │

│ DataSync Corp │ $2.1M │ Data │

│ HealthFlow │ $8.5M │ Health │

│ FinLedger │ $6.3M │ Fintech │

└────────────────────┴──────────┴───────────┘

Crawl4AI Crawler

Open-source web crawler as an alternative to expensive scraping tools.

8 pages found
acme.com/about
acme.com/pricing
acme.com/team
acme.com/blog
acme.com/docs/api
acme.com/docs/guides
acme.com/careers
acme.com/contact

Local Biz Analyzer

Map-based dashboard showing web traffic and SEO data for local businesses.

Monthly web traffic — Denver, CO
1
Joe's Pizza85k
2
Main St Deli62k
3
Corner Cafe41k
4
Park Bistro28k
5
City Grill22k
6
Harbor Fish18k

Transcript to Deck

Sales call transcripts automatically processed into strategic slide decks.

Key Findings
Pain Points
Objections
Strategy
Next Steps
Appendix

Meeting Brief

Automated pre-call research briefs with living context layers and prompt caching.

JD
Jane Doe — VP Engineering
Acme Corp · Series B · $24M raised
Company Intel
Person Intel
Pain Hypotheses
Predicted Objections

Account Scoring

End-to-end prospect research and ICP scoring with living context layers.

LeadCompanyFitScore
Sarah ChenNovaTechMust-have94
Mike TorresCloudBaseGood fit78
Lisa ParkDataSyncGood fit72
Dan SmithOldCoEdge case45
Amy ZhaoTinyShopNo fit18

Speed to Lead

Form submission to enriched Slack notification in seconds.

#new-leads
⚡
New lead — ICP: Must-have2s ago
Sarah Chen · VP Eng @ NovaTech
Score: 94 · Source: Demo form
Enriched in 1.2s
⚡
New lead — ICP: Good fit18s ago
Mike Torres · Dir Sales @ CloudBase
Score: 78 · Source: Contact form

Churn Dashboard

Multi-system churn risk detection across HubSpot, Slack, and Google Calendar.

AccountARRRiskDriver
Acme Corp$84k
89
No meeting in 45d
TechStart$36k
62
3x ticket volume
DataFlow$120k
55
Champion left
CloudFirst$48k
22
Active, renewed
NetOps$72k
15
Expanding usage

Brand Tracker

Multi-platform sentiment monitoring with hourly scans across 4 channels.

Total Mentions
85
+18% vs last week
Avg Sentiment
+67%
Positive overall
Google News
24 mentions
+72%
Reddit
18 mentions
+45%
Hacker News
12 mentions
+88%
X / Twitter
31 mentions
+61%
Latest · 12m ago
Positive mention on Hacker News — Show HN thread

QuotaPath Game

Personalized interactive games deployed at scale for sales outreach.

play.quotapath.game/acme-corp
Chapter 1 of 3
Managing commissions is painful.
Your VP of Sales just walked into your office...
Sarah, CEO
Mike, VP Sales
Lisa, RevOps
A: Review the spreadsheet
B: Call a team meeting

Headless PVP

Jordan Crawford's PVP methodology built as an automated pipeline.

1
ICP Research
ChatGPT deep research
2
Copy + Inversion
Evaluate from buyer lens
3
Lead Identification
ChatGPT agent mode
4
FMCSA Data Pull
DOT inspection records
5
Personalize Copy
Real data vs averages
6
Generate Email
Unique per prospect

PQS Targeting

Pain-qualified segments using public permit data and dollar-value loss calculations.

ContractorNOC DaysBaseline$ Loss/yr
Jerry's Fence Co45d28d$12,400
AllPro Fencing38d28d$7,200
Metro Install52d28d$18,600
SunBelt Fence41d28d$9,800
ProLine LLC35d28d$5,100
Atlas Fencing48d28d$15,200