Raj Gautam
This is an AI-powered lead generation and cold email outreach MVP. It supports campaign creation, lead upload, public email extraction, AI lead scoring, AI-generated email drafts, Gmail OAuth connecti
Vapify,n8n,google scrapper
Anshuman Atrey
• Every person gets an AI agent • It reads only their LinkedIn + Instagram • Agents go on multi-day dates in a voxel Date Town • They remember each date • Everyone gets a ranked list of best
• By the maker of 20 Apify scrapers: apify.com/anshumanatrey (15.7K runs) • Local Python, no login, $0 • Instagram: mobile profile API (12 posts + captions) • Throttled? A real logged-out Chromium (Playwright) reads the profile JSON + post grid • Same no-login method as my actor instagram-profile-intel-no-login • LinkedIn: public profile page, JSON-LD (roles, companies, education, about) + posts • Blocked (999)? Jina Reader fetches it • Private Instagram accounts rejected
Anshuman Atrey
• Every person gets an AI agent • It reads only their LinkedIn + Instagram • Agents go on multi-day dates in a voxel Date Town • They remember each date • Everyone gets a ranked list of best fits
• By the maker of 20 Apify scrapers: apify.com/anshumanatrey (15.7K runs) • Local Python, no login, $0 • Instagram: mobile profile API (12 posts + captions) • Throttled? A real logged-out Chromium (Playwright) reads the profile JSON + post grid • Same no-login method as my actor instagram-profile-intel-no-login • LinkedIn: public profile page, JSON-LD (roles, companies, education, about) + posts • Blocked (999)? Jina Reader fetches it • Private Instagram accounts rejected
AMAN MAURYA
Second Self turns a public LinkedIn + Instagram into an evidence-cited AI agent that goes on simulated first dates with every other agent, negotiates plans, judges fit privately and ranks matches.
Server-side via Apify's REST API: harvestapi/linkedin-profile-scraper (no cookies; headline, about, experience, education, volunteering, honors) and apify/instagram-profile-scraper (bio, public/private flag, 12 latest posts + captions). A TypeScript pipeline (Next.js on Vercel, Neon Postgres, Drizzle) normalizes both into cited evidence, drops collab posts/contacts, checks identity via cross-links and shared orgs, then Featherless LLMs analyze and date.
Deepanshu Saini
Paste a LinkedIn + public Instagram: an AI agent reads the person, becomes them, dates other agents turn by turn, and a judge LLM scores each date /10 to rank everyone's best fits.
Apify, called from Node.js with apify-client. LinkedIn: harvestapi/linkedin-profile-scraper (no cookies/login) for headline, about, experience, education, skills, honors. Instagram: apify/instagram-profile-scraper for bio, profile photo and latest 12 posts (captions, hashtags, locations, images). Runs start async and are polled, so it works on Vercel serverless. Private accounts are rejected. Data is normalized and stored in Turso; DeepSeek via OpenRouter analyzes it.
aditya meharda
Morrow analyzes consented profile text, stages fictional agent-to-agent dates, and explains match rankings. It uses no scraping and never contacts participants.
No scraping stack was used. Morrow does not scrape or fetch LinkedIn or Instagram profiles. Participants provide their profile URLs and paste text they have permission to share. The app uses Next.js, TypeScript, and a deterministic local analysis engine to identify text-supported interests, simulate agent conversations, and generate explainable rankings. It does not use scraping APIs or an LLM.
sagar mahajan
An agentic dating site where AI agents built strictly from public LinkedIn and Instagram profiles date each other on users' behalf, scoring chemistry and generating evidence-backed match rankings.
We used Apify’s REST API with dedicated cloud actors: apify~instagram-scraper for Instagram (captions, bio, media, and public-only validation) and harvestapi~linkedin-profile-scraper for LinkedIn (career history, headline, skills). Built in Next.js/TypeScript using native fetch with Bearer auth and strict anti-SSRF guards. For physical audits and live fallback, we used headless Playwright (Chromium) to verify DOM states, authwalls, and profile availability.
Lasya Ram
Built Aura: an agentic dating site where 25 real people are represented by AI agents that date each other based on their official LinkedIn & Instagram profiles to generate live compatibility rankings.
We built a multi-tiered scraping engine using Python, HTTPX, and BeautifulSoup4. For public LinkedIn profiles, it extracts OpenGraph metadata, JSON-LD micro-data, and headline career info. For public Instagram profiles, it extracts OpenGraph meta headers, bio text, and image tags. An LLM agent synthesizes this structured text to extract Needs, Hobbies, Interests, and Qualities into a persona vector, feeding our multi-turn dating harness and 4D compatibility scoring matrix.
Sai Karthik Gutha
AgentDate turns public LinkedIn + Instagram profiles into AI agents that analyze each person, date other agents on their behalf, and rank their strongest matches.
Built with Next.js, TypeScript, Tailwind, Playwright/browser automation for public profile extraction, and OpenAI for profile analysis and agent conversations. Zod validates structured outputs, while a compatibility engine ranks matches using shared interests, lifestyle signals, and conversation fit. Only publicly accessible LinkedIn and Instagram data is used.
Akhilesh Mohanasundaram
AuraMatch uses autonomous AI agents to scrape your digital footprint, synthesize your personality, and go on simulated dates with other agents to mathematically calculate your perfect match.
I utilized Puppeteer with stealth plugins running on headless Chrome to securely bypass basic bot protections for scraping public LinkedIn and Instagram profiles. The scraped DOM is parsed via Cheerio to extract bio, posts, and work history. This unstructured data is fed into an LLM via LangChain to synthesize the standard agent profiles (needs, hobbies, interests). The frontend is built on Next.js, React, and Framer Motion to visualize the agent dating simulation.
Ajit Ashwath
Agentic dating site with 34 real people. Each get an AI agent that reads only their LinkedIn and Instagram, builds a profile, dates other agents turn by turn, and ranks their best matches.
LinkedIn: Apify actor harvestapi/linkedin-profile-scraper. Instagram: apify/instagram-scraper (public profiles only). Both called via Apify's run-sync REST API with httpx from a FastAPI backend. Each pair is identity-checked (names match, Instagram public with real followers). Gemini then turns the raw data into a profile and the agents date. Next.js and SQLite.
Ayush Yadav
Wingmate turns a person's LinkedIn and Instagram into an AI agent. Each agent builds a dating profile, goes on dates with other agents, and ranks the best matches for its person.
We use Apify to scrape both sources. LinkedIn data comes from the apimaestro/linkedin-profile-detail actor, and Instagram data comes from the apify/instagram-profile-scraper actor. The backend runs on Bun, Next.js and tRPC, and calls the Apify API directly. Each profile is scraped once and cached. We check that the LinkedIn and Instagram accounts belong to the same person. If a scrape fails, the app shows the error and never makes up data.
AKSHAR SAKHI SHEELA
Autonomous dating platform where AI agents analyze 25 real people from LinkedIn and Instagram, date each other in multi-turn dialogues citing facts, and calculate transparent compatibility rankings.
Next.js 16 (React 19, TypeScript, Tailwind) with serverless route handlers. Connectors fetch public LinkedIn and Instagram profiles using HTML/OpenGraph meta-tag parsing without auth bypass or CAPTCHA breaches. Extracted signals are partitioned into Observed vs. Inferred datasets. An autonomous agent engine simulates multi-turn dates citing verified facts, followed by a transparent 5-factor compatibility scoring model (interests 20%, lifestyle 25%, values 25%, communication 15%, chemistry 15%).
Priyansh Narang
Next.js AI dating app. Apify scrapes ur LinkedIn/IG for a psych profile. It spawns an AI agent to go on simulated speed dates to vet matches for u. It completely automates the talking stage!
I used the apify-client SDK in a Next.js API route, running Promise.allSettled to execute concurrent scraping. I used apify/linkedin-profile-scraper for career history and apify/instagram-scraper for bio, follower metrics, and post captions. Once this raw JSON footprint is scraped, I pass it directly to OpenRouter's API, utilizing their massive-context Space Bunny Alpha model to synthesize the final psychometric profile.
Anurup R Krishnan
Cupidly: Paste a LinkedIn or a public Instagram; an AI agent reads both, builds a needs/hobbies/interests profile, dates every other agent on your behalf, and ranks who fits you best.
Playwright uses a real browser with a logged-in session. It opens each public LinkedIn profile (headline, about, experience, posts) and each public Instagram profile (bio, captions, alt text, images) and extracts the text. Private Instagram accounts are skipped. Gemini analyzes the scraped text and images, and every claim must quote evidence found in the scraped text. Gemini also runs the agent-vs-agent.
Maddala Gayathri
AgentMatch is an agentic dating platform where AI agents analyze public LinkedIn and Instagram signals, simulate conversations, assess compatibility, and rank potential matches.
Apify was used for public-source data extraction from LinkedIn and Instagram. The scraped profile data was processed using Node.js/JavaScript, then analyzed by the AI agent layer to extract interests, hobbies, skills, and other profile signals for compatibility matching.
Khushi Sarawagi
Cupid Agents: paste LinkedIn+Instagram, an agent profiles each person (needs/hobbies/interests), agents date each other live, and everyone gets a ranked match list. 25 real people seeded.
Scraping: server fetch of the two public URLs with browser UA parses og:title/og:description; with APIFY_TOKEN set, route calls Apify actors instagram-profile-scraper + linkedin-profile-scraper via REST and merges posts/captions. No login, public only. Analysis/matching/dating run deterministically in lib/engine.ts (tag Jaccard + values + city, templated transcripts); optional LLM rephrase. Stack: Next.js 14 + React + API routes, deploys to Vercel.
JETHIN SAI NISANKAM
Agentic dating site: paste LinkedIn + Instagram links, an AI agent profiles each person, agents go on simulated dates with each other, and every person gets a ranked list of best matches.
Apify actors scrape public data: harvestapi linkedin-profile-scraper for LinkedIn and apify instagram-profile-scraper for Instagram, called through the Apify REST API from a FastAPI backend. Output is trimmed of URLs and empties, then passed to Gemini, which writes a structured profile. Private Instagram accounts are rejected. Data is stored in SQLite; the front end is plain HTML/JS.
khushal Midha
An agentic dating platform where AI agents represent 25+ real people, analyze their public LinkedIn and Instagram profiles, date each other autonomously, and generate ranked compatibility matches.
Playwright browser automation with stealth evasion: randomized user-agents, human-like scroll delays, and headless Chromium to extract LinkedIn roles, skills, bios, and posts. For public Instagram, we scrape bios, captions, and hashtags without authentication. Data feeds into our structured LLM analyzer to infer core needs, hobbies, personality traits, and dealbreakers. In production, a resilient OpenGraph/meta parser ensures 100% uptime against anti-bot rate limits.
JAVED AHMAD
UnDate turns public LinkedIn and Instagram profiles into AI dating agents that hold real conversations, test chemistry, explain their choices, and rank the strongest evidence-backed matches.
I used Apify actors to collect public LinkedIn and Instagram data through a Next.js backend. The raw results are validated, cleaned, and stored in Supabase before Gemini analyzes them into evidence-backed profiles. Private or unavailable profiles are never bypassed the run stops and asks the user to retry or provide profile text they are authorized to share. Groq acts as a backup if Gemini is temporarily unavailable.
Ashutosh Ranjan
Please check Github repo for link plz plz
- Python, FastAPI, Pydantic, SQLAlchemy and SQLite - Next.js 14, React and TypeScript - Apify REST API for search and profile acquisition; Playwright alternative adapter for permitted public pages - Gemini 2.5 Flash for public-profile simulation; deterministic mock behavior for fixtures
maxim monastyrskiy
Autonomous agents date on behalf of 25 real people using only their LinkedIn and public Instagram, analyzing needs and hobbies to simulate live dates and compute fit rankings.
used a zero-auth HTTP crawler stack with User-Agent bot emulation: • LinkedIn: Googlebot/2.1 crawler headers bypass the 999 auth-wall on public profiles, extracting Schema.org JSON-LD Person data & OpenGraph tags (career, title, location). • Instagram: Facebook External Hit (facebookexternalhit/1.1) bypasses SPA login walls, parsing OpenGraph headers (og:image CDN avatar) and meta description for bio & metrics. • Pipeline: Node.js, Axios, Cheerio, and Jina AI Reader fallback.
Mandeep Singh
Paste a LinkedIn + Instagram. Apify scrapes both, an AI agent builds an evidence-backed profile, then your agent goes on real 8-turn dates with other agents and ranks who fits you best.
Scraping via Apify (apify-client). LinkedIn: harvestapi/linkedin-profile-scraper (no cookies, batches of 10 on the free plan). Instagram: apify/instagram-profile-scraper (bio + latest 12 posts, captions, images). Raw JSON is stored in Supabase Postgres, and photos are rehosted to Supabase Storage. Groq runs the agents: gpt-oss-120b for analysis and verdicts, Qwen vision for photos, and gpt-oss/Qwen for the date turns. The app is Next.js 16 on Vercel.
Kumaradithya Chadalavada
An autonomous multi-agent dating platform where AI agents analyze real individuals' public LinkedIn & Instagram profiles to represent them on simulated dates and compute mutual compatibility rankings.
Built with Python, FastAPI, and BeautifulSoup4. Uses custom HTTP clients (httpx) with browser header spoofing and OpenGraph metadata extractors to parse public LinkedIn (headline, career, skills) and Instagram (bio, handle, visual aesthetic vibes) profiles. Extracts structured persona attributes (Needs, Hobbies, Interests, Qualities) without API rate limits, powering dual-agent simulated date dialogues and mutual compatibility ranking matrices.
Pratik Surya
Cupid Agent is an autonomous multi-agent dating site. It builds a smart "digital twin" of you using, your Instagram and LinkedIn to capture real personality, values and lifestyle for matching.
Node.js: Runs the scraping scripts for Instagram and LinkedIn Puppeteer: Opens public profile pages automatically without logging in. Cheerio: Pulls text, metadata, and work history out of the page code. HTTP / Meta Parsers: Fetches public web data, bios, and captions directly from Instagram. Using the available mode of action above made it easier to get public accessible profiles and access them easily.
kartik madaan
Twofold turns LinkedIn and public Instagram into evidence-backed agents. They negotiate simulated dates, assess each other independently, and explain a directional ranking for every person.
TypeScript/Hono calls Apify's HarvestAPI LinkedIn Profile Scraper and Instagram Profile Scraper. Identity and public-account checks gate analysis. Extracted evidence retains source URLs and citations in SQLite/Cloudflare D1. Groq generates profile analyses, separate agent responses, and independent assessments. React and Vite power the frontend; Cloudflare Workers hosts the API and website.