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Markets
  • Signal Feed
  • All Startups
  • Live Launches
  • Breakout Momentum
  • Opportunity Radar
  • Categories
  • Founders
  • Revenue
  • Cross-platform
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11,067 products · 19,805 snapshots
Context.dev

Context.dev

#1 today

One API to scrape, enrich, and extract the internet

Launched 24d agoProduct Hunt Website
Votes
826
Comments
136

What this means

6.7×Growing 6.7× faster than the typical Developer Infrastructure launch.
Compared to 35 Developer Infrastructure launches at the same age.
63%Top-5 finish probability today: 63%.
Projected 826 votes by end of day-1 (range 620–1115).
-50%Category cooling: Data.
Launches down 50% week-over-week.
60%Strong buyer-intent signal in the comments.
60% of commenters sound like potential buyers — mostly developers.
70%Comment sentiment overwhelmingly positive.
Audience strongly receptive — developers engaged.
Users are asking for content hash + geo-targeting.
Feature requests surfaced from the comment thread.
Recurring concerns: failed fetch costs, bot protection.
Pain points mentioned more than once in comments.

Prediction

Top-5 finish probability
63%
today
Projected end-of-day votes
826range 620–1115
Trajectory
stable
Vote pace holding steady.
Speed vs peers
6.7×
35 Developer Infrastructure launches

About

Context.dev is the web context API for AI products and agents. Scrape any URL, crawl sites, turn pages into LLM-ready Markdown, extract structured data into your own schema, capture screenshots, and retrieve logos, colors, fonts, styleguides, company data, and transaction enrichment through one API. YC-backed, no card required, and built so developers or coding agents can integrate in minutes.

AI Summary

Context.dev is an API that enables users to scrape, enrich, and extract data from the internet, converting web pages into LLM-ready Markdown and structured data. It offers features such as screenshot capture and retrieval of company assets, designed for easy integration by developers.

Vote & comment velocity

Scores

Velocity20.5
Vote pace vs avg
Momentum20.5
Sustained over 6h
Virality25.0
Spread × engagement
Engagement32.9
Comments per vote

Founders

Beer van der Drift
Beer van der Drift
@bdrift
rep 70
Yahia Bakour
@yahia_bakour3
rep 49
Nikhil Radosevich
Nikhil Radosevich
@nikhilrado
rep 70
Garry Tan
@garrytan · hunter

Topics

Artificial IntelligenceDataAPI

Comment Intelligence· 26 comments analysed

Sentiment

Positive70%
Neutral20%
Negative10%
Buyer intent
60%
of commenters sound like potential buyers
Audience
developers
Sentiment over 13 days
Positive
Negative
Buyer intent
-14%
Overall vibe

Overall, commenters express strong satisfaction with Context.dev's capabilities and support, while raising some concerns about pricing and specific technical challenges.

Top themes
  • scraping efficiency
  • API integration
  • customer support
  • pricing
  • data accuracy
Feature requests
  • content hash
  • geo-targeting
  • dynamic content handling
  • caching strategies
  • rate limits
Complaints
  • failed fetch costs
  • bot protection
  • layout changes
  • competitive features
  • niche site performance

Top comments

[REDACTED]
↑ 51

Hey Product Hunt 👋 I’m Yahia, founder of Context.dev. I built Context.dev because every AI product eventually runs into the same problem: models are powerful, but they don’t know what’s happening on the live web. So teams end up building the same annoying infrastructure over and over again: scrapers, crawlers, browser rendering, proxy handling, sitemap parsing, Markdown cleanup, screenshots, logo extraction, brand enrichment, company data pipelines, and more. Context.dev turns all of that into one API. You can scrape any URL, crawl a site, extract clean LLM-ready Markdown, pull structured data into your own schema, capture screenshots, retrieve logos/colors/fonts/styleguides, enrich companies, and give your agents fresh web context in seconds. The part I’m most excited about: Context.dev is agent-native. You can integrate it yourself, or paste one line into your coding agent and let it sign up, grab an API key, and wire the API into your codebase. We’re YC-backed, have a free tier with no card required, and are already powering products at teams like Mintlify, daily.dev, DocsBot, Chatwoot, and more. Would genuinely love feedback from the PH community, especially from anyone building AI agents, RAG pipelines, onboarding flows, enrichment workflows, or anything that needs live web data. Happy to answer questions all day!

[REDACTED]
↑ 3

<p>Right, I wasn't doubting the render fidelity, I meant determinism across fetches. Same URL scraped today vs next week: if the live DOM reorders a section, the markdown shape moves with it and an agent that indexed against the first shape drifts. Do you expose a content hash or a diff between fetches, so a pipeline can tell 'page actually changed' from 'page just reordered'? That's the bit that decides whether I wire it into an agent loop or keep it a one-off pull.</p>

[REDACTED]
↑ 3

<p>Pricing tied to successful scrapes only looks useful! Paying for failed fetches could be painful, I know this from own experience. Curious on the stealth layer as plenty of sites serve completely different content by visitor country (price, availability, language)... Can I pin the exit region per request or does the geo just fall out of whatever proxy the pool grabs that day?</p>

[REDACTED]
↑ 2

<p>We are using <a href="https://Context.dev" target="_blank" rel="nofollow noopener noreferrer">Context.dev</a> and we love it! Recommended</p>

Sentiment computed via openrouter