Peoplecite.tech (https://Peoplecite.tech) finds you the people you need for your business needs. The problem Recruiters, investors, event organizers and journalists all have to find specific people. Their tools haven't kept up. People databases go stale, keyword search returns hundreds of weak matches, and the manual route takes hours of searching, opening tabs and cross-checking. When a tool does produce a list, it rarely explains why a name made the cut, so you can't trust it without checking every entry again. The idea Describe the people you need the way you'd brief a colleague. PeopleCite researches the live web and returns a slate: a ranked list where every name comes with receipts. "Staff payments engineers with Series B–C experience" → a ranked shortlist with evidence, not 400 keyword hits "Technical founders building in industrial automation" → people who aren't on anyone's list yet "Climate scientists who can hold a stage" → speakers with their press footprint attached How it works for the user Ask in plain language. There are no boolean strings or filters. You give the role, field, constraints and dealbreakers. Watch the research happen. Several researchers work through the brief in parallel. The user sees each step live: what's being searched, what's being read, and who's being considered. A typical run takes 5–20 minutes, and closing the tab doesn't stop it. Review a slate with receipts. Each person arrives with: a fit score against your criteria a written rationale a verification status (verified, likely or flagged) links to every source used One click exports the slate to Excel or CSV. Beyond a single search Monitors: saved searches re-run on a schedule, and a digest email lists only the new people. CSV enrichment: upload your own list and get back verified evidence for each person. Outreach drafts: a first message for any candidate, written from the research. Exclusion lists: people you've already seen or contacted stay out of future results. Team workspaces: shared seats and shared runs for agencies and teams. API + MCP: PeopleCite works inside other tools and AI assistants, such as Claude, ChatGPT and Cursor. Design decisions that mattered Trust over volume. The product is built around receipts. If something can't be verified, such as a person's location, it is flagged rather than guessed. Results are presented as research leads, not hiring decisions, and the user always reviews and decides. Long-running work that feels instant. A deep research run can take many minutes. The interface streams progress as it happens, so the wait feels like watching work get done. Runs continue on their own if the user leaves. Pricing that matches value. Users pay per candidate researched, not per seat. Credits scale with research depth (Fast, Smart, Deep), so a 10-person search has a predictable cost. There are three tiers ($49 / $149 / $399 a month) and a 14-day free trial. Responsible by default. The product has no demographic targeting of any kind. Users can export or delete their data at any time, and every claim traces back to a source. It ships with a privacy policy and a DPA. Outcome PeopleCite went from first commit to a public, paid product on its own domain in about three months. At launch it had subscription billing, a free trial, team seats, scheduled monitors, an API and an MCP server. The landing page uses no stock imagery. Its hero section replays a real research run.

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Speakelle (https://speakelle.com/) - AI Language learning tool for English learners. It helps you improve your speaking, reading, listening and writing skills.

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Crawrix.ai (https://Crawrix.ai) - AI Agent that does SEO, GEO and AEO for you. Find out what AI says about your business, then fix it. More people now ask an AI assistant for a recommendation instead of searching Google. Most small businesses don't know if they appear in those answers. The crawlers behind them don't run JavaScript, so plenty of sites are invisible to them and nobody notices. Crawrix measures this. It asks AI models about the business and its category, runs search-grounded checks through Perplexity, and crawls the site for what answer engines read: AI-crawler access in robots.txt, llms.txt, structured data, sitemaps, and pages that answer real customer questions. The output is one score with a history, so an owner can see whether a change helped. A chat agent then works through the fixes. With a GitHub repo connected, it reads the codebase, writes the change and opens a pull request. It knows Next.js, Astro and other frameworks, and it can audit a live URL when there's no repo at all. Every write stops at an approval card that shows the diff first. Key features AI visibility score built from three parts: what models already know about the business, how it shows up in AI search, and how ready the site is for AI crawlers Ranked fix plan, with step-by-step guided cards for changes made by hand Chat agent that audits code and live pages, including Lighthouse runs in a sandboxed browser Pull requests generated from findings, each gated behind owner approval One agent, three ways to use it: the web app, a command-line tool (TypeScript and Rust builds), and an MCP server for Claude Code, Cursor and other MCP clients Scheduled re-scans that keep the score history current Connections to your own MCP servers, with OAuth and encrypted credential storage WordPress, Wix, Webflow and Framer integrations in progress, so sites without a repo get the same approve-then-apply flow

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Built AzimuthLive, a next-gen tour planning platform using Next.js, Mapbox, D3.js, and Supabase — delivering real-time routing, data insights, and cinematic UI animations. A true fusion of data intelligence and design precision. Want an interactive, scalable platform like this? Let’s build your next big product — smarter, faster, and beautifully crafted. Let's build you a full stack app (https://contra.com/s/ZBEEsRA3-full-stack-development-with-nextjs?r=danielafaqi)Let's build an AI Agent for you (https://contra.com/s/mZ7krNsA-advanced-ai-agent-development-using-lang-chain-and-lang-graph?r=danielafaqi)

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Daniel Afaqi

AI-Native Full-Stack Development