Skip to main content

Show HN: A categorized database of ~400k journalists https://ift.tt/2C6NpWd

Show HN: A categorized database of ~400k journalists Hey guys! Press Hunt ( https://presshunt.co ) is a categorized database of almost 400k journalists, reporters, and media outlets. Finding the right journalists to pitch your business to––then finding their email address––is a nightmare. The data is spread out all over the internet, down the google rabbit hole, news sites, and twitter accounts. Research can take hundreds of hours on it’s own, not even counting the time it takes to run an effective email campaign. Over the last year we’ve run hundreds of PR campaigns for companies like Instacart and Dos Toros. Our campaigns have been featured by hundreds of media outlets like The Washington Post, The Independent, and VICE. We started out building media lists by hand, but that sucked. We built crawlers to compile the 1.0 of this data, then purged, cleaned, and enriched it all. With this update we’ve added millions of data points: new tags, phone numbers, journalist media outlet, photos, and more! Since our 1.0 almost a hundred companies (startups, photographers, PR agencies, etc.) have used Press Hunt, logging almost 80k searches. For our 2.0 we’ve completely revamped the UI, updated & enriched our dataset (with new attributes like phone numbers, social media accounts, and millions of new data points), and built out a new system for you to save journalists to media lists and export their contact info to CSV (so running email campaigns to them is now even easier). Like our 1.0, journalists are categorized by tags representing what they’re likely to write about next (based on what they’ve written about before, where they write, and what they tweet about). The dataset includes emails, phone numbers, where they write, and their industry focuses. We’d love feedback––thanks for reading this - Matt & Aaron December 11, 2018 at 08:15AM

Comments

Popular posts from this blog

Launch HN: Simmer (YC W19) – Reviews for Delivery Dishes https://ift.tt/2Y4sD67

Launch HN: Simmer (YC W19) – Reviews for Delivery Dishes Hi HackerNews community! We’re Vaibhav and Richard, founders of Simmer ( https://usesimmer.com ). Simmer aggregates dishes from DoorDash, Caviar, GrubHub, and basically every other delivery platform out there, and tells users the best dishes across the board. We do this by providing dish-level reviews. Users find highly reviewed dishes on Simmer, choose the delivery platform of their liking, and we deep link them into their chosen delivery app. We essentially lead gen to delivery. We started working on Simmer because we loved trying new restaurants, but never knew what to order. Especially, when there’s a 5 page menu. We always asked ourselves, “Why aren’t there ratings for individual dishes?” We launched our app with this restaurant-centric use case (reviews for every dish at every restaurant), but when we rolled out delivery integrations, we realized that users resonated most with the delivery angle. They found it particularly ...