Your Digital Footprint Is Now an API Call
And your AI agent is ready to start searching.
Finding people used to be hard. Now it's just one line of code, and the implications are massive.
This New API Finds Anyone with a Single Call
It's a superpower for sales and recruiting, but it also feels like the end of easy anonymity.
A new "Person Search API" just landed, offering to find almost anyone online with a single query and over 60 filters. It’s built specifically for AI agents and platforms to automate the kind of targeted data retrieval that used to take entire teams weeks to accomplish. Think of it as programmatic access to a global directory of professional and personal data.
This isn't just a smarter search engine; it’s infrastructure for a new era of automated outreach. When your AI agent can dynamically build a perfect prospect list, verify a candidate's entire work history, or track key individuals in real-time, the game changes. It collapses the sales and recruitment funnel down to a single, incredibly powerful API call.
But here's the uncomfortable truth: the line between hyper-targeted marketing and digital stalking is getting dangerously thin. While this is a massive advantage for data-driven teams, it commoditises personal information at a scale we haven't seen before. Efficiency is great, but we're about to find out what happens when everyone has this superpower.
No-Code Is Getting Dangerously Smart
The latest AI tools are moving beyond simple assistance and are now automating entire professional workflows.
CodeWords: Your new AI assistant for building automations
Instead of dragging and dropping boxes, you just describe the workflow you want in plain English, and 'Cody' builds it for you. This moves automation from a visual task to a conversational one.
Capalyze: The conversational data analyst that scrapes the web
This 'ChatGPT for data' scrapes live web information and lets you analyse it through conversation. You can even edit spreadsheets directly in the chat, killing the tedious export-import cycle for good.
Custom Waitlist: A no-code growth engine for your next launch
Build a viral waitlist page without writing any code. It’s a full-on growth engine with referral systems and email automation, designed to validate your idea before you even build it.
Niche Tools for a Better Workflow
Sometimes the most useful tools are the ones that solve one small, annoying problem perfectly.
GitHub Contribution Visualiser: What your commit history actually reveals about you
A Hacker News discussion shows how visualising your commits can reveal burnout patterns and personal productivity cycles. It's turning vanity metrics into genuine personal insight.
Simply Piano on Vision Pro: Your living room is now a concert hall
This app uses AR to put a virtual piano anywhere, with real-time finger tracking that feels like a glimpse into the future of learning skills. It makes education immersive and independent of physical space.
Alyx Caffeine Kit: A wellness tracker with attitude and zero accountability
This caffeine tracker helps you understand how coffee actually affects your sleep and focus. It provides data without the judgmental notifications common in other wellness apps.
Quick hits
kluster.ai: The spell-check for your AI's bad habits
This tool reviews and fixes the 40%+ of buggy, insecure code that AI assistants generate in real-time.
Gamma 3.0: The AI that makes your presentations look better than yours
It turns simple prompts into polished, interactive decks so you can focus on the message, not the font size.
In Your Face for iOS: The aggressive calendar reminder you didn't know you needed
It shoves a full-screen notification in your face so you physically cannot miss your next meeting.
My takeaway
The gap between a powerful idea and a functional tool is collapsing to the speed of a single chat command.
We're seeing a wave of AI-native tools that don't just assist with tasks but completely abstract them away through natural language. From building complex automations to scraping and analysing web data, the prerequisite is no longer technical skill, but clear intent. This fundamentally changes who gets to build and what can be built.
This shift creates enormous leverage for individuals and small teams, allowing them to operate with the power of entire departments. But it also places an incredible premium on the quality of our questions and the clarity of our instructions. As the tools get smarter, we need to get better at telling them what to do.
What's the one tedious task you'd automate tomorrow if you could just describe it to an AI?
Drop me a reply. Till next time, this is Louis, and you are reading Louis.log().