Software engineer · Founder

I build software that knows where to look.

Data intelligence, web scraping, AI agents and full-stack products. I turn scattered signals into software people can act on.

Daniel Lordson wearing a black suit
Daniel Lordson UK · Working globally
01 Point of view

Most teams do not lack data. They lack a clean path from noise to action.

I build that path. The work starts with public sources, websites, maps and operational data. Then it becomes reliable profiles, useful scores, product decisions and automated workflows.

  1. 01CollectPublic signals
  2. 02CleanMessy inputs
  3. 03ResolvePeople + companies
  4. 04ScoreUseful evidence
  5. 05ActProduct workflows
02 Selected systems

Built for the messy part.

Two systems where data collection was not a side feature. It was the product advantage.

01 / 24HR Data intelligence · Logistics

A live intelligence layer for roadside operations.

For 24HR, I helped build a native discovery and research system across Google Maps, FMCSA records, public websites and ad signals. It cleans, deduplicates, resolves and scores carriers and service providers so raw data can support dispatch, territory and growth decisions.

  • Google Maps
  • FMCSA
  • Playwright
  • Entity resolution
  • Evidence scoring
  • Node.js
Visit 24HR
SourceLive
maps.local_resultscollect
fmcsa.carrier_recordsnormalize
public_web.evidenceresolve
ad_library.signalsscore
Output One useful provider profile.
02 / AirAgent Web intelligence · Voice AI

A company website becomes agent-ready knowledge.

For AirAgent, I helped build multi-page discovery, parallel crawling and structured extraction. The pipeline finds services, prices, hours, FAQs and business facts, keeps the source trail, checks quality, then feeds clean knowledge into production voice agents.

  • Firecrawl
  • Parallel crawling
  • Fact extraction
  • Evidence QA
  • Supabase
  • Deno
Visit AirAgent
01DiscoverFind useful pages
02CrawlFetch in parallel
03ExtractStructure the facts
04VerifyKeep the evidence
05DeployGround the agent
03 Capabilities

What I build

Systems that collect, reason and act.

01

Web scraping

Browser automation, maps, directories, ad libraries, resilient crawlers and source-aware extraction.

02

Data intelligence

Normalization, deduplication, entity resolution, evidence trails, enrichment and scoring.

03

AI products

Agents with tools, knowledge pipelines, voice systems and workflow automation that ships.

04

Full-stack + infra

APIs, databases, queues, product interfaces, observability and Linux production systems.

TypeScript · Node.js · Python · React · Next.js · PostgreSQL · MongoDB · Supabase · Playwright · Docker · Linux

04 Contact

The next build

Have a data problem worth solving?

Tell me what is messy, slow or still done by hand.