Product Hunt feed widget for daily launch tracking.

It is worth being explicit about the distinction because the two widgets often get confused in keyword research and in builder onboarding. The Product Hunt Reviews widget is built for indie SaaS founders post-launch. It embeds a single product's upvote count, Maker comment thread, Hunter attribution, and Product of the Day, Week, or Month badges on the founder's marketing site. The job is to turn a one-day launch into permanent landing-page social proof. The Product Hunt Feed widget is built for the consumers of the Product Hunt firehose. Tech reporters at TechCrunch and The Information, newsletter editors at TLDR and Bensbites and Refind, indie maker bloggers, investor scouts at Sequoia and a16z, and SaaS founders monitoring their competitive landscape all consume Product Hunt as a daily inbound feed of new launches. The feed widget surfaces the daily Product of the Day leaderboard, the weekly Top 10, the monthly Best Of, topic-specific cuts (AI Agents, Dev Tools, Design, No-Code), Maker-curated Collections, and Hunter Watchlists inside the consumer's own surface area: an editorial CMS, a scout dashboard, a Notion page, a Substack template, a Ghost site, a personal portfolio. The two widgets pull from the same Product Hunt API v2 GraphQL endpoint but they answer different questions. Reviews answers "how do I prove my launch was a hit on my own site forever?" Feed answers "how do I see what is launching across the platform every morning, filtered to what I care about, without leaving my own page?" If you came here looking for the reviews widget, head to the Product Hunt Reviews page instead. If you want to embed the live discovery feed itself, you are in the right place.

Product Hunt's daily cadence is the cultural backbone of the indie maker scene and has been since 2013. The Pacific Time daily reset (a quirk that has shaped maker launch timing for over a decade) means the leaderboard refreshes at midnight PT, and indie makers around the world coordinate launch schedules around that single moment. The 24-hour voting window creates a focused, time-boxed competition that no other launch platform replicates. Hacker News has Show HN but no daily ranking, Reddit has subreddit posts but no platform-wide leaderboard, the App Store has editorial features but no community vote. The daily ranking on Product Hunt is the only 24-hour, community-voted, multi-category launch leaderboard on the public web, and that single mechanism is what has kept indie makers, AI tool builders, dev tool authors, and prosumer SaaS founders coming back every day for over a decade. AngelList acquired Product Hunt in 2016, and under AngelList ownership the platform institutionalized the weekly Top 10 aggregation, the monthly Best Of with the cat-themed badges, the Golden Kitty Awards as the annual community vote across categories like Best AI Product and Maker of the Year, the Ship feature for makers to coordinate v1, v2, and v3 launches under a single Maker profile, the Hunter feature for third parties to submit products on behalf of makers (a long tradition with notable Hunters like PT and Robleh Jama playing meaningful roles in the platform culture), and the Collections feature for Makers and editors to publish curated lists. From 2024 onward, AI launches have dominated the daily leaderboard. The split of the AI topic into AI Tools and AI Agents (and the explosion of Anthropic-powered, OpenAI-powered, and locally-run AI products in the daily feed) has reshaped what shows up at the top of Product of the Day on most weekdays. The feed widget surfaces this directly: a topic-filtered AI Agents feed on a tech newsletter site or an investor scout dashboard now produces meaningfully different content from the same feed two years ago, and the daily refresh is what keeps the embed valuable as the platform composition evolves. Anyone consuming Product Hunt seriously needs the live leaderboard, not the chronological RSS feed, and the feed widget is the lowest-friction way to get it inside your own surface.

Product Hunt's topic taxonomy now spans more than 50 categories, and the topic-specific feeds are the highest-leverage filter for any editorial or scout workflow. The AI topic split into AI Tools and AI Agents in 2024 reflected the shift in what was actually launching, and similar splits have happened in Developer Tools (now also covering Open Source separately), Design (now split from No-Code), and Productivity (which now branches into Calendar, Note-Taking, and Task Management subtopics). A tech reporter covering AI agents specifically can embed a Topic Stream filtered to AI Agents and surface only products in that topic, refreshed on a daily cadence. A SaaS founder in the no-code space can embed the No-Code topic feed alongside the Productivity topic feed in an Aggregated Multi-Feed view to monitor both their primary category and an adjacent category in a single dashboard block. The Collections feature is the second high-leverage cut. Makers and Product Hunt staff routinely publish curated Collections like "The Best AI Tools of 2026 So Far" or "50 Indie SaaS Tools Under $20/mo" or "Tools Built by Solo Makers in 2026". A Collection is a hand-picked list of products that lives at producthunt.com/collections/the-slug, and the feed widget can embed the Collection as a Spotlight layout on any site. This is particularly valuable for editorial sites that want to feature a curated cut without rebuilding the curation work themselves. The Hunter and Maker layer is the third distinctive Product Hunt mechanism that the feed widget surfaces in a way no other platform widget does. Notable Hunters like PT (Paul Tomlinson, who has hunted hundreds of successful products), Bram Kanstein, Chris Messina, and Robleh Jama have public Hunter pages on Product Hunt, and the Hunter Watchlist mode in the feed widget lets investor scouts and tech reporters surface every product hunted by a specific person. This is operationally useful because notable Hunters tend to surface high-quality products before they trend, and tracking a Hunter's submissions is a meaningful signal in deal-flow workflows. The Maker side is similar: a Maker page lists every product a Maker has shipped, and the feed widget can embed a Maker's full launch history as a portfolio block. Together, the topic, Collection, Hunter, and Maker dimensions give the feed widget four meaningful filter axes that no Hacker News or Reddit feed can match.

Editorial sites and scout dashboards routinely embed two, three, or four Product Hunt feeds on the same page. The daily Product of the Day in the sidebar, the topic-filtered AI Agents feed in the main content well, the weekly Top 10 in the secondary rail, and a Hunter Watchlist in the footer is a common pattern for a tech newsletter homepage. Naive iframe-based or React-bundled feed widgets break this pattern because each embedded feed adds a noticeable Performance, LCP, or CLS hit, and four feeds on a page can drop a Lighthouse Performance score from 95 to 60 on a Ghost or Substack template. Poper handles this with a single shared script tag that bundles all feeds on a page into one async runtime, lazy-loading the visual rendering as each feed scrolls into view. The widget ships under 40 KB gzipped for the runtime regardless of how many feeds are on the page, so a single-feed sidebar embed and a four-feed dashboard pay essentially the same pagespeed cost. Schema.org ItemList markup is auto-injected for each feed (a single ItemList per embed, with each launch as a ListItem with Product or SoftwareApplication typing), so search engines can crawl your curated feed as structured data rather than as opaque JavaScript-rendered content. This matters for editorial SEO: a tech newsletter homepage with a properly-marked-up daily Product of the Day feed gives Google a crawlable signal of fresh structured content updating daily, which feeds the Discover and News surfaces. The widget also handles the case where Product Hunt renames a topic (the AI to AI Tools and AI Agents split in 2024 broke many third-party widgets that hard-coded the old topic slug) by gracefully falling back to the parent topic and surfacing a one-line builder warning so the site owner can update the configuration. Validate your Lighthouse score before and after embedding using PageSpeed Insights at pagespeed.web.dev, and validate the Schema.org markup using the Rich Results Test at search.google.com/test/rich-results. Both should pass with no warnings on a properly configured embed.

The Product Hunt API v2 uses GraphQL with a complexity budget rate limit of 6,250 points per 15 minutes per developer token. A single daily leaderboard query with 10 products, basic fields, Hunter and Maker data, and topic tags consumes roughly 80 to 120 complexity points depending on the field selection. A topic feed query with the same 10 products and topic-specific filters runs slightly more (140 to 180 points). A Collection query with 25 products is around 250 to 350 points. A Hunter Watchlist with the trailing 30 days of submissions is around 400 to 600 points. On a typical multi-feed dashboard with four embeds (daily, topic, Collection, Hunter Watchlist) refreshed every 5 minutes on Pro, a single page is consuming roughly 1,200 to 1,800 complexity points per 15 minute window per visitor, which would blow the rate limit instantly without proper budgeting. Poper handles this by aggregating queries server-side: the GraphQL queries run once per sync window per feed configuration on the Poper edge cache, and the rendered feed data is served to all visitors from the cache rather than hitting the Product Hunt API on every page view. This is what lets a high-traffic tech newsletter or a scout dashboard with thousands of daily visitors embed multiple Product Hunt feeds without ever approaching the 6,250 point rate limit. Sync cadence by plan: Free is 30 minutes for daily and topic feeds, hourly for Collections and Hunter Watchlists. Pro drops to 5 minutes for daily feeds, 15 minutes for topic, Collection, and Hunter feeds. Business unlocks 1-minute sync on the daily Product of the Day for the live newsroom and scout use cases where a 5-minute lag is too long during peak launch hours (typically 9 AM to noon Pacific Time on weekdays when the daily leaderboard is most volatile). The widget proxies all Product Hunt API requests through Poper infrastructure, so visitor IP addresses, cookies, and browser fingerprints are never exposed to Product Hunt directly. GDPR-compliant Data Processing Agreement available on request for European-based publishers and scout teams.