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Hoodline turns data signals into engaging automated local content

Partner with us
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At Hoodline, we are committed to creating informative, high-quality, and engaging content from a local perspective. We believe that much of the most exciting and important news—local stories that deepen readers’ connection to their own communities—is today left untold.

We see an opportunity to fill this gap through a combination of editorial, machine learning and data science. We analyze terabytes of data each day, identify and validate the best signals, and create thousands of automated local stories across the U.S. each month.

Selection of our automated stories created from partner data

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National

Food & Nightlife

Events & Things To Do

Crime & Safety

Real Estate

Jobs & Industry

Travel

In partnership with dozens of local data companies

Our solutions for media companies

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Local Newswire

We distribute thousands of stories to local partner publications across 50+ cities around the U.S. providing stories that traditional newsrooms may not have the resources to cover.

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Recommendation Modules

We power local content discovery on publisher sites through easy-to-add and customizable modules that feature fresh, local news and drive quality, high engagement with 3% average click-through-rate.

Request demo >>

Teaming up with premier media & tech companies

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We convert your data into amazing relevant news stories, and distribute them across our network of publishers

Story impressions per quarter across our newswire and local recommendation modules

Average click through rate back to our data partner sites

Media partners and brands that use the Hoodline platform

Industry average conversion rates on our recommendations and deep links

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Item specifics

Condition:
New with tags: A brand-new, unused, unworn and undamaged item in the original packaging (such as the original box ... Read moreabout the condition
Farben: Grau
Marke: Affliction Material: 100 % Baumwolle
Herstellernummer: afl_t_1517_gr Größen: S, M, L, XL, XXL, XXXL, 4XL
EAN: nicht zutreffend
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